This document presents a general property that differentiates between redox and non-redox electrolytic systems. It introduces the linear combination 2∙f(O) - f(H) of the elemental balances for hydrogen (f(H)) and oxygen (f(O)). For redox systems, this linear combination is linearly independent of other elemental balances and the charge balance. For non-redox systems, it is linearly dependent on the charge balance and other elemental balances. This linear combination is termed the generalized electron balance (GEB), which completes the set of equations needed to quantitatively describe redox systems according to the generalized approach to electrolytic systems (GATES). The roles of oxidants and reductants in
Geometrical isomerism refers to structural isomers that differ in the orientation of functional groups around a double bond or ring structure. There are three main systems used to name geometrical isomers: cis-trans, E-Z, and syn-anti. Cis-trans nomenclature refers to whether identical groups are on the same side (cis) or opposite sides (trans) of a double bond. E-Z nomenclature is used when all four substituents are different. Syn-anti refers to whether substituents are on the same side (syn) or opposite sides (anti) of a carbon-nitrogen double bond. Various methods can be used to determine the configuration of geometrical is
Stereochemistry (Reactions of Chiral Molecules)Ashwani Dhingra
1) Stereochemistry describes reactions involving chiral molecules and stereoisomers. These reactions can generate new chiral centers, retain existing configurations, or form diastereomers.
2) The free radical chlorination of (S)-(-)-1-chloro-2-methylbutane produced six fractions. Four were optically active due to retention or generation of new stereocenters. Two were optically inactive due to bond cleavage forming a racemic mixture or loss of chirality.
3) The mechanisms and stereochemistry of the reactions determine whether optical activity is retained or lost through configurations, diastereomers, racemic mixtures, or achiral products.
The document discusses different types of isomers and stereochemistry. It begins by defining constitutional isomers as compounds with the same molecular formula but different connectivity of atoms. Stereoisomers are described as having the same molecular formula and connectivity but different three-dimensional orientations of atoms. The two main types of stereoiosmers are discussed as enantiomers, which are non-superimposable mirror images, and diastereomers, which are not mirror images. Various examples of geometric isomers, optical isomers and assigning stereochemistry are also provided.
The document discusses Taft's steric factor (Es) as a way to quantify steric effects in organic compounds. Es is based on rate constants of ester hydrolysis reactions and accounts for how bulky substituents affect reaction rates by blocking nucleophilic attack. The Taft equation combines Es with other substituent constants to model steric and electronic effects. Examples show Es is more negative for bulkier groups like t-Bu, indicating their stronger steric hindrance of hydrolysis. Es can be used to understand and predict steric influences on other chemical reactions and biological activities.
This document discusses stereochemistry, which is the branch of chemistry dealing with the three-dimensional structures of organic molecules. It defines stereochemistry and notes that it involves the study of how atoms are arranged in three dimensions. The document also mentions that stereochemistry considers how the spatial arrangements of atoms change during chemical reactions. Additionally, it introduces the concept of stereoisomerism and provides a classification of isomers into constitutional, stereoisomers, and configurational isomers.
This document provides a detailed syllabus for the Physical Organic Chemistry course in the B.Pharm program. It outlines 6 topics that will be covered over the semester for a total of 45 hours. These include introduction to bonding concepts, modern theories of organic bonding, kinetics and reaction mechanisms, acid-base catalysis, and charge transfer complexes and reactions. For each topic, it lists the sub-topics and number of hours allocated. It also provides 5 reference books for the course.
The document then provides syllabus details for other semester 1 courses including Physical Pharmacy I, Anatomy Physiology and Pathophysiology I, Environmental Science, Communication Skills, and Physical Pharmacy Laboratory I. It outlines the topics,
Isomers are molecules with the same molecular formula, but different structural or spatial arrangements of the atoms within the molecule. The reason there are such a colossal number of organic compounds which is more than 10 million is partly due to isomerism.
This document summarizes a numerical study of the structure and thermodynamics of colloidal suspensions using the variational method and integral equation theory. The interactions between colloid particles are modeled using either a Yukawa or Sogami potential. Results from the integral equation theory using a Sogami potential are found to be in good agreement with Monte Carlo simulation results and experimental data. The variational method and integral equation theory are used to calculate structural properties like the pair correlation function and thermodynamic properties.
Geometrical isomerism refers to structural isomers that differ in the orientation of functional groups around a double bond or ring structure. There are three main systems used to name geometrical isomers: cis-trans, E-Z, and syn-anti. Cis-trans nomenclature refers to whether identical groups are on the same side (cis) or opposite sides (trans) of a double bond. E-Z nomenclature is used when all four substituents are different. Syn-anti refers to whether substituents are on the same side (syn) or opposite sides (anti) of a carbon-nitrogen double bond. Various methods can be used to determine the configuration of geometrical is
Stereochemistry (Reactions of Chiral Molecules)Ashwani Dhingra
1) Stereochemistry describes reactions involving chiral molecules and stereoisomers. These reactions can generate new chiral centers, retain existing configurations, or form diastereomers.
2) The free radical chlorination of (S)-(-)-1-chloro-2-methylbutane produced six fractions. Four were optically active due to retention or generation of new stereocenters. Two were optically inactive due to bond cleavage forming a racemic mixture or loss of chirality.
3) The mechanisms and stereochemistry of the reactions determine whether optical activity is retained or lost through configurations, diastereomers, racemic mixtures, or achiral products.
The document discusses different types of isomers and stereochemistry. It begins by defining constitutional isomers as compounds with the same molecular formula but different connectivity of atoms. Stereoisomers are described as having the same molecular formula and connectivity but different three-dimensional orientations of atoms. The two main types of stereoiosmers are discussed as enantiomers, which are non-superimposable mirror images, and diastereomers, which are not mirror images. Various examples of geometric isomers, optical isomers and assigning stereochemistry are also provided.
The document discusses Taft's steric factor (Es) as a way to quantify steric effects in organic compounds. Es is based on rate constants of ester hydrolysis reactions and accounts for how bulky substituents affect reaction rates by blocking nucleophilic attack. The Taft equation combines Es with other substituent constants to model steric and electronic effects. Examples show Es is more negative for bulkier groups like t-Bu, indicating their stronger steric hindrance of hydrolysis. Es can be used to understand and predict steric influences on other chemical reactions and biological activities.
This document discusses stereochemistry, which is the branch of chemistry dealing with the three-dimensional structures of organic molecules. It defines stereochemistry and notes that it involves the study of how atoms are arranged in three dimensions. The document also mentions that stereochemistry considers how the spatial arrangements of atoms change during chemical reactions. Additionally, it introduces the concept of stereoisomerism and provides a classification of isomers into constitutional, stereoisomers, and configurational isomers.
This document provides a detailed syllabus for the Physical Organic Chemistry course in the B.Pharm program. It outlines 6 topics that will be covered over the semester for a total of 45 hours. These include introduction to bonding concepts, modern theories of organic bonding, kinetics and reaction mechanisms, acid-base catalysis, and charge transfer complexes and reactions. For each topic, it lists the sub-topics and number of hours allocated. It also provides 5 reference books for the course.
The document then provides syllabus details for other semester 1 courses including Physical Pharmacy I, Anatomy Physiology and Pathophysiology I, Environmental Science, Communication Skills, and Physical Pharmacy Laboratory I. It outlines the topics,
Isomers are molecules with the same molecular formula, but different structural or spatial arrangements of the atoms within the molecule. The reason there are such a colossal number of organic compounds which is more than 10 million is partly due to isomerism.
This document summarizes a numerical study of the structure and thermodynamics of colloidal suspensions using the variational method and integral equation theory. The interactions between colloid particles are modeled using either a Yukawa or Sogami potential. Results from the integral equation theory using a Sogami potential are found to be in good agreement with Monte Carlo simulation results and experimental data. The variational method and integral equation theory are used to calculate structural properties like the pair correlation function and thermodynamic properties.
This document discusses a study that quantitatively analyzed mixtures of the sugar isomers fructose, galactose, and glucose using mass spectrometry. Several amino acids and divalent metal cations were tested to select systems that best distinguished the isomers and allowed reproducible measurements. The studies found that serine/copper(II) and aspartic acid/manganese(II) complexes generated mass spectra that strongly distinguished the three sugars and were selected for quantitative analysis of mixtures. Calibration curves were used that accounted for competition effects between sugars, and correction factors derived from binary mixtures were successfully applied to analyze ternary mixtures.
In this slide I covered the detailed about hansch analysis, Free-Wilson analysis, and Mixed approach. I also gave a detailed application for each points.
Elzaki transform homotopy perturbation method for solving gas dynamics equationeSAT Journals
Abstract E-learning is a modern way of learning now days. It includes electronic media in the field of education. E-learning makes use of (ICT) information and communication technology. Now a day, In every field like learning in medical or learning in agriculture, e-learning is going popular to use. E-learning involves various types of media that provide video, audio, images and text. E-learning uses the intranet/ extranet / internet, and widens the horizon of traditional learning. This article explores the time when the concept of e-learning was introduced, mentions its basic principles, discuss the ways in which it is superior than the traditional educational system. E-Agriculture is a rising field that specialize in the improvement of agricultural and rural development through improved and updated information and communication processes. Specifically, e-Agriculture involves the conceptualization, design, development, analysis and application of innovative ways in which to use information and communication technologies (IT) within the rural domain, with a primary specialize in agriculture. E-Agriculture may be a comparatively new term and that we totally expect its scope to alter and evolve as our understanding of the realm grows. Keywords: E-Education in agriculture, E-learning, E-Education system, Internet-Education, Impact of E-Learning in Education.
Steriochemistry of organic compounds optical activity : enantiomers and diast...Ammu Rosin
This document discusses stereochemistry and optical isomerism. It defines enantiomers as optical isomers that are non-superimposable mirror images that rotate polarized light equally in opposite directions. The maximum number of optical isomers for a compound with n chiral centers is 2n. Enantiomers have identical physical and chemical properties but differ in their biological activity and reactions with other optically active compounds. Examples of enantiomers with different properties in living systems are provided, such as D-amino acids not being incorporated into proteins. Diastereomers are stereoisomers that are not mirror images and may have different physical and chemical properties.
1. The document discusses the application of chemical thermodynamics principles to model natural water systems. It outlines how equilibrium models based on classical thermodynamics can provide insights but have limitations given natural systems are open.
2. Three key concepts are discussed: closed system models assume equilibrium but natural systems are open; the Gibbs free energy change determines reaction driving force and equilibrium; and the affinity/rate of internal entropy production links kinetics and thermodynamics.
3. Examples of chemical reactions in natural waters like carbonate buffering and metal hydrolysis are used to illustrate applying these principles.
Phase locking in chains of multiple-coupled oscillatorsLiwei Ren任力偉
This document summarizes a research paper that studied phase locking in chains of oscillators with coupling beyond nearest neighbors. It introduced a model for such chains using piecewise linear coupling functions. The paper proved the existence of phase locked solutions for this model by using a homotopy method to smoothly transform the model into more realistic coupling functions. It discussed differences between models with multiple coupling versus nearest neighbor coupling only, and highlighted the importance of studying coupling beyond just the nearest neighbors seen in some biological systems.
1 s2.0-s037838121100207 x-main.correlation of thermodynamic modeling and mole...Josemar Pereira da Silva
The document describes a method for correlating thermodynamic modeling and molecular simulations to predict liquid-liquid equilibrium in ternary polymer mixtures. The method uses a modified double lattice theory thermodynamic model combined with molecular simulations to determine interaction energy parameters. Dummy atoms are used to represent polymer segments in the simulations. The method is applied to four real ternary polymer systems, with the energy parameters directly used in the thermodynamic model. The results show good agreement with experimental observations using one or no adjustable parameters.
1 s2.0-s037838121100207 x-main.correlation of thermodynamic modeling and mole...Josemar Pereira da Silva
The document describes a method for correlating thermodynamic modeling and molecular simulations to predict liquid-liquid equilibrium in ternary polymer mixtures. The method uses a modified double lattice theory thermodynamic model combined with molecular simulations to determine interaction energy parameters. Dummy atoms are used to represent polymer segments in the simulations. The method is applied to four real ternary polymer systems, with the energy parameters directly used in the thermodynamic model. The results show good agreement with experimental observations using one or no adjustable parameters.
Monotonicity of Phaselocked Solutions in Chains and Arrays of Nearest-Neighbo...Liwei Ren任力偉
This document summarizes a paper on phaselocked solutions in chains and arrays of coupled oscillators. It introduces the topic of coupled oscillators and their importance in modeling neural activity. It describes previous work analyzing one-dimensional chains of oscillators using continuum approximations. The current paper aims to rigorously prove the existence of phaselocked solutions in chains without requiring a continuum limit. It also analyzes two-dimensional arrays by decomposing them into independent one-dimensional problems under certain frequency distributions. Key results include proving monotonicity of phaselocked solutions and spontaneous formation of target patterns in two-dimensional arrays with isotropic synaptic coupling.
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3SEENET-MTP
This document provides an overview of the Hamiltonian method in braneworld cosmology. It begins with introductory lectures on preliminaries like Legendre transformations, thermodynamics, fluid mechanics, and basic cosmology. It then covers braneworld universes, strings and branes, and the Randall-Sundrum model. The document concludes with applications of the Hamiltonian method to topics like quintessence, dark energy/matter unification, and tachyon condensates in braneworlds.
The microscopic effect of the exchange interaction parameter for the 2-Dimensional ising model with nearest neighbor interaction has been studied. By supposing simple temperature dependent relationship for the exchange parameter, graphs were straightforwardly obtained that show the reentrant closed looped phase diagrams symptomatic of some colloids and complex fluids and some binary liquids mixtures in particular. By parameter modifications, other phase diagrams were also obtained. Amongst which are the u-shapes and other exotic shapes of phase diagrams. Our results show that the exchange interaction parameter greatly influence the size of the ordered phase. Hence the larger the value of the constant, the larger the size of the ordered phase. This means that the higher values of the exchange parameter brings about phase transitions that straddle a wider range of polarizations and temperatures.
This paper considers the control problem of a class of uncertain switched systems defined on polyhedral sets known as piecewise linear systems where, instead of the conventional Caratheodory solutions, Filippov solutions are studied. In other words, in contrast to the previous studies, solutions with infinite switching in finite time along the facets and on faces of arbitrary dimensions are also taken into account. Firstly, established upon previous studies, a set of linear matrix inequalities are brought forward which determines the asymptotic stability of piecewise linear systems with Filippov solutions. Subsequently, bilinear matrix inequality conditions for synthesizing a robust controller with a guaranteed H1 performance are presented. Furthermore, these results has been generalized to the case of piecewise affine systems. Finally, a V–K iteration algorithm is proposed to deal with the aforementioned bilinear matrix inequalities. The validity of the proposed method is verified through the analysis of two simulation examples.
Using the two forms of Fish-Bone potential (I and II), a self-consistent calculations are carried out to perform the analysis of binding energies, root mean square radii and form factors using different configuration symmetries of 20Ne nucleus. A computer simulation search program has been introduced to solve this problem. The Hilbert space was restricted to three and four dimensional variational function space spanned by single spherical harmonic oscillator orbits. A comparison using Td and D3h configuration symmetries are carried out.
This document discusses using Andreev levels in high-temperature superconductors (HTS) as an approach to quantum computing. It first provides background on existing qubit approaches using low-temperature superconductors (LTS) and challenges with HTS qubits. It then shows that a formal correspondence exists between Mathieu levels in an LTS Cooper Pair Box qubit and Andreev levels in HTS junctions. This correspondence could help understand and exploit HTS qubits, though actual experimental systems may face difficulties.
This document provides an overview of a chemical engineering course on thermodynamics 2. The course covers topics such as thermodynamic properties of fluid mixtures, phase equilibria, solution thermodynamics, and chemical reaction equilibria. It lists recommended reference books and the grading breakdown. Key concepts that will be discussed include thermodynamic properties of fluids mixtures, Maxwell equations, residual properties, Gibbs energy as a generating function, phase equilibrium criteria for vapor-liquid systems, and the Clapeyron equation. Assignments and exams make up 10% and 90% of the final grade respectively.
1) The phase rule relates the number of degrees of freedom (F) in a heterogeneous system to the number of components (C) and phases (P) using the equation F=C-P+2.
2) A one-component system like water can exist in three phases (solid, liquid, vapor) and is represented by a two-dimensional pressure-temperature phase diagram showing the equilibrium boundaries between phases.
3) In the water system, the vaporization curve on the phase diagram represents the equilibrium between liquid water and water vapor, with the system having one degree of freedom (univariant) as predicted by the phase rule.
This document defines key terms used to explain phase equilibria and the phase rule. It discusses:
- A system, phase, components, number of phases (P), and number of components (C)
- The phase rule relationship that the degree of freedom (F) of a system equals the number of components (C) minus the number of phases (P) plus two.
- Examples of applying the phase rule to systems with different numbers of phases and components, such as a one-component system with ice, liquid water, and water vapor having three phases and zero degrees of freedom.
Coherence incoherence patterns in a ring of non-locally coupled phase oscilla...Ola Carmen
This document summarizes research on coherence-incoherence patterns in a ring of non-locally coupled phase oscillators. It introduces a model of phase oscillators with non-local coupling defined by a coupling function G. It shows that on a macroscopic level, the model dynamics can be described by a complex-valued order parameter evolving according to an explicit equation. Stable coherence-incoherence patterns correspond to standing wave solutions of this equation. The analysis formulates this as an infinite-dimensional nonlinear eigenvalue problem, which is then studied to classify possible patterns for different coupling functions G.
The document discusses electron-acoustic solitary waves in a quantum plasma model that includes electrons at two different temperatures (hot and cold electrons) and stationary ions. It presents the following:
1) A quantum hydrodynamic model is used to derive fluid equations for a finite-temperature quantum plasma consisting of hot and cold electrons.
2) Linearizing the equations yields a dispersion relation for electron-acoustic waves that depends on factors like the quantum diffraction parameter and degeneracy parameter.
3) Nonlinear analysis is carried out to investigate solitary wave structures in the quantum plasma by deriving a Korteweg-de Vries equation.
On the Numerical Fixed Point Iterative Methods of Solution for the Boundary V...BRNSS Publication Hub
In this research work, we have studied the finite difference method and used it to solve elliptic partial differential equation (PDE). The effect of the mesh size on typical elliptic PDE has been investigated. The effect of tolerance on the numerical methods used, speed of convergence, and number of iterations was also examined. Three different elliptic PDE’s; the Laplace’s equation, Poisons equation with the linear inhomogeneous term, and Poisons equations with non-linear inhomogeneous term were used in the study. Computer program was written and implemented in MATLAB to carry out lengthy calculations. It was found that the application of the finite difference methods to an elliptic PDE transforms the PDE to a system of algebraic equations whose coefficient matrix has a block tri-diagonal form. The analysis carried out shows that the accuracy of solutions increases as the mesh is decreased and that the solutions are affected by round off errors. The accuracy of solutions increases as the number of the iterations increases, also the more efficient iterative method to use is the SOR method due to its high degree of accuracy and speed of convergence
This document discusses a study that quantitatively analyzed mixtures of the sugar isomers fructose, galactose, and glucose using mass spectrometry. Several amino acids and divalent metal cations were tested to select systems that best distinguished the isomers and allowed reproducible measurements. The studies found that serine/copper(II) and aspartic acid/manganese(II) complexes generated mass spectra that strongly distinguished the three sugars and were selected for quantitative analysis of mixtures. Calibration curves were used that accounted for competition effects between sugars, and correction factors derived from binary mixtures were successfully applied to analyze ternary mixtures.
In this slide I covered the detailed about hansch analysis, Free-Wilson analysis, and Mixed approach. I also gave a detailed application for each points.
Elzaki transform homotopy perturbation method for solving gas dynamics equationeSAT Journals
Abstract E-learning is a modern way of learning now days. It includes electronic media in the field of education. E-learning makes use of (ICT) information and communication technology. Now a day, In every field like learning in medical or learning in agriculture, e-learning is going popular to use. E-learning involves various types of media that provide video, audio, images and text. E-learning uses the intranet/ extranet / internet, and widens the horizon of traditional learning. This article explores the time when the concept of e-learning was introduced, mentions its basic principles, discuss the ways in which it is superior than the traditional educational system. E-Agriculture is a rising field that specialize in the improvement of agricultural and rural development through improved and updated information and communication processes. Specifically, e-Agriculture involves the conceptualization, design, development, analysis and application of innovative ways in which to use information and communication technologies (IT) within the rural domain, with a primary specialize in agriculture. E-Agriculture may be a comparatively new term and that we totally expect its scope to alter and evolve as our understanding of the realm grows. Keywords: E-Education in agriculture, E-learning, E-Education system, Internet-Education, Impact of E-Learning in Education.
Steriochemistry of organic compounds optical activity : enantiomers and diast...Ammu Rosin
This document discusses stereochemistry and optical isomerism. It defines enantiomers as optical isomers that are non-superimposable mirror images that rotate polarized light equally in opposite directions. The maximum number of optical isomers for a compound with n chiral centers is 2n. Enantiomers have identical physical and chemical properties but differ in their biological activity and reactions with other optically active compounds. Examples of enantiomers with different properties in living systems are provided, such as D-amino acids not being incorporated into proteins. Diastereomers are stereoisomers that are not mirror images and may have different physical and chemical properties.
1. The document discusses the application of chemical thermodynamics principles to model natural water systems. It outlines how equilibrium models based on classical thermodynamics can provide insights but have limitations given natural systems are open.
2. Three key concepts are discussed: closed system models assume equilibrium but natural systems are open; the Gibbs free energy change determines reaction driving force and equilibrium; and the affinity/rate of internal entropy production links kinetics and thermodynamics.
3. Examples of chemical reactions in natural waters like carbonate buffering and metal hydrolysis are used to illustrate applying these principles.
Phase locking in chains of multiple-coupled oscillatorsLiwei Ren任力偉
This document summarizes a research paper that studied phase locking in chains of oscillators with coupling beyond nearest neighbors. It introduced a model for such chains using piecewise linear coupling functions. The paper proved the existence of phase locked solutions for this model by using a homotopy method to smoothly transform the model into more realistic coupling functions. It discussed differences between models with multiple coupling versus nearest neighbor coupling only, and highlighted the importance of studying coupling beyond just the nearest neighbors seen in some biological systems.
1 s2.0-s037838121100207 x-main.correlation of thermodynamic modeling and mole...Josemar Pereira da Silva
The document describes a method for correlating thermodynamic modeling and molecular simulations to predict liquid-liquid equilibrium in ternary polymer mixtures. The method uses a modified double lattice theory thermodynamic model combined with molecular simulations to determine interaction energy parameters. Dummy atoms are used to represent polymer segments in the simulations. The method is applied to four real ternary polymer systems, with the energy parameters directly used in the thermodynamic model. The results show good agreement with experimental observations using one or no adjustable parameters.
1 s2.0-s037838121100207 x-main.correlation of thermodynamic modeling and mole...Josemar Pereira da Silva
The document describes a method for correlating thermodynamic modeling and molecular simulations to predict liquid-liquid equilibrium in ternary polymer mixtures. The method uses a modified double lattice theory thermodynamic model combined with molecular simulations to determine interaction energy parameters. Dummy atoms are used to represent polymer segments in the simulations. The method is applied to four real ternary polymer systems, with the energy parameters directly used in the thermodynamic model. The results show good agreement with experimental observations using one or no adjustable parameters.
Monotonicity of Phaselocked Solutions in Chains and Arrays of Nearest-Neighbo...Liwei Ren任力偉
This document summarizes a paper on phaselocked solutions in chains and arrays of coupled oscillators. It introduces the topic of coupled oscillators and their importance in modeling neural activity. It describes previous work analyzing one-dimensional chains of oscillators using continuum approximations. The current paper aims to rigorously prove the existence of phaselocked solutions in chains without requiring a continuum limit. It also analyzes two-dimensional arrays by decomposing them into independent one-dimensional problems under certain frequency distributions. Key results include proving monotonicity of phaselocked solutions and spontaneous formation of target patterns in two-dimensional arrays with isotropic synaptic coupling.
N. Bilic - "Hamiltonian Method in the Braneworld" 1/3SEENET-MTP
This document provides an overview of the Hamiltonian method in braneworld cosmology. It begins with introductory lectures on preliminaries like Legendre transformations, thermodynamics, fluid mechanics, and basic cosmology. It then covers braneworld universes, strings and branes, and the Randall-Sundrum model. The document concludes with applications of the Hamiltonian method to topics like quintessence, dark energy/matter unification, and tachyon condensates in braneworlds.
The microscopic effect of the exchange interaction parameter for the 2-Dimensional ising model with nearest neighbor interaction has been studied. By supposing simple temperature dependent relationship for the exchange parameter, graphs were straightforwardly obtained that show the reentrant closed looped phase diagrams symptomatic of some colloids and complex fluids and some binary liquids mixtures in particular. By parameter modifications, other phase diagrams were also obtained. Amongst which are the u-shapes and other exotic shapes of phase diagrams. Our results show that the exchange interaction parameter greatly influence the size of the ordered phase. Hence the larger the value of the constant, the larger the size of the ordered phase. This means that the higher values of the exchange parameter brings about phase transitions that straddle a wider range of polarizations and temperatures.
This paper considers the control problem of a class of uncertain switched systems defined on polyhedral sets known as piecewise linear systems where, instead of the conventional Caratheodory solutions, Filippov solutions are studied. In other words, in contrast to the previous studies, solutions with infinite switching in finite time along the facets and on faces of arbitrary dimensions are also taken into account. Firstly, established upon previous studies, a set of linear matrix inequalities are brought forward which determines the asymptotic stability of piecewise linear systems with Filippov solutions. Subsequently, bilinear matrix inequality conditions for synthesizing a robust controller with a guaranteed H1 performance are presented. Furthermore, these results has been generalized to the case of piecewise affine systems. Finally, a V–K iteration algorithm is proposed to deal with the aforementioned bilinear matrix inequalities. The validity of the proposed method is verified through the analysis of two simulation examples.
Using the two forms of Fish-Bone potential (I and II), a self-consistent calculations are carried out to perform the analysis of binding energies, root mean square radii and form factors using different configuration symmetries of 20Ne nucleus. A computer simulation search program has been introduced to solve this problem. The Hilbert space was restricted to three and four dimensional variational function space spanned by single spherical harmonic oscillator orbits. A comparison using Td and D3h configuration symmetries are carried out.
This document discusses using Andreev levels in high-temperature superconductors (HTS) as an approach to quantum computing. It first provides background on existing qubit approaches using low-temperature superconductors (LTS) and challenges with HTS qubits. It then shows that a formal correspondence exists between Mathieu levels in an LTS Cooper Pair Box qubit and Andreev levels in HTS junctions. This correspondence could help understand and exploit HTS qubits, though actual experimental systems may face difficulties.
This document provides an overview of a chemical engineering course on thermodynamics 2. The course covers topics such as thermodynamic properties of fluid mixtures, phase equilibria, solution thermodynamics, and chemical reaction equilibria. It lists recommended reference books and the grading breakdown. Key concepts that will be discussed include thermodynamic properties of fluids mixtures, Maxwell equations, residual properties, Gibbs energy as a generating function, phase equilibrium criteria for vapor-liquid systems, and the Clapeyron equation. Assignments and exams make up 10% and 90% of the final grade respectively.
1) The phase rule relates the number of degrees of freedom (F) in a heterogeneous system to the number of components (C) and phases (P) using the equation F=C-P+2.
2) A one-component system like water can exist in three phases (solid, liquid, vapor) and is represented by a two-dimensional pressure-temperature phase diagram showing the equilibrium boundaries between phases.
3) In the water system, the vaporization curve on the phase diagram represents the equilibrium between liquid water and water vapor, with the system having one degree of freedom (univariant) as predicted by the phase rule.
This document defines key terms used to explain phase equilibria and the phase rule. It discusses:
- A system, phase, components, number of phases (P), and number of components (C)
- The phase rule relationship that the degree of freedom (F) of a system equals the number of components (C) minus the number of phases (P) plus two.
- Examples of applying the phase rule to systems with different numbers of phases and components, such as a one-component system with ice, liquid water, and water vapor having three phases and zero degrees of freedom.
Coherence incoherence patterns in a ring of non-locally coupled phase oscilla...Ola Carmen
This document summarizes research on coherence-incoherence patterns in a ring of non-locally coupled phase oscillators. It introduces a model of phase oscillators with non-local coupling defined by a coupling function G. It shows that on a macroscopic level, the model dynamics can be described by a complex-valued order parameter evolving according to an explicit equation. Stable coherence-incoherence patterns correspond to standing wave solutions of this equation. The analysis formulates this as an infinite-dimensional nonlinear eigenvalue problem, which is then studied to classify possible patterns for different coupling functions G.
The document discusses electron-acoustic solitary waves in a quantum plasma model that includes electrons at two different temperatures (hot and cold electrons) and stationary ions. It presents the following:
1) A quantum hydrodynamic model is used to derive fluid equations for a finite-temperature quantum plasma consisting of hot and cold electrons.
2) Linearizing the equations yields a dispersion relation for electron-acoustic waves that depends on factors like the quantum diffraction parameter and degeneracy parameter.
3) Nonlinear analysis is carried out to investigate solitary wave structures in the quantum plasma by deriving a Korteweg-de Vries equation.
On the Numerical Fixed Point Iterative Methods of Solution for the Boundary V...BRNSS Publication Hub
In this research work, we have studied the finite difference method and used it to solve elliptic partial differential equation (PDE). The effect of the mesh size on typical elliptic PDE has been investigated. The effect of tolerance on the numerical methods used, speed of convergence, and number of iterations was also examined. Three different elliptic PDE’s; the Laplace’s equation, Poisons equation with the linear inhomogeneous term, and Poisons equations with non-linear inhomogeneous term were used in the study. Computer program was written and implemented in MATLAB to carry out lengthy calculations. It was found that the application of the finite difference methods to an elliptic PDE transforms the PDE to a system of algebraic equations whose coefficient matrix has a block tri-diagonal form. The analysis carried out shows that the accuracy of solutions increases as the mesh is decreased and that the solutions are affected by round off errors. The accuracy of solutions increases as the number of the iterations increases, also the more efficient iterative method to use is the SOR method due to its high degree of accuracy and speed of convergence
This document summarizes research on using numerical fixed point iterative methods to solve boundary value problems of elliptic partial differential equations. It discusses applying the finite difference method to transform partial differential equations into systems of algebraic equations. The accuracy of solutions increases as the mesh is decreased and is affected by round-off errors. The SOR iterative method provides high accuracy and fast convergence.
This document summarizes research on using numerical fixed point iterative methods to solve boundary value problems of elliptic partial differential equations. It discusses applying the finite difference method to transform partial differential equations into systems of algebraic equations. The accuracy of solutions increases as the mesh is decreased and is affected by round-off errors. The SOR iterative method provides high accuracy and fast convergence.
This document discusses first-order differential equations and their applications in engineering analysis. It begins by introducing ordinary and partial differential equations and how they are derived from fundamental laws of physics. Several examples are then provided to illustrate solution methods for homogeneous and non-homogeneous first-order differential equations, including the use of separation of variables and integration factors. The document concludes by explaining key fluid mechanics principles like the Bernoulli equation, and demonstrates how it can be used to derive a differential equation describing liquid velocity in a large reservoir.
This document discusses stochastic partial differential equations (SPDEs). It outlines several approaches that have been used to solve SPDEs, including methods based on diffusion processes, stochastic characteristic systems, direct methods from mathematical physics, and substitution of integral equations. It also discusses using backward stochastic differential equations to study SPDEs and introduces notation for the analysis of an Ito SDE with inverse time. The document is technical in nature and outlines the mathematical frameworks and equations involved in solving SPDEs through various probabilistic methods.
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A General Property Differentiating Between Redox and Non-Redox Electrolytic Systems and Its Consequences
1. International Journal of Mathematics and Statistics Invention (IJMSI)
ISSN (Online): 2321 – 4767, ISSN (Print): 2321 – 4759
www.ijmsi.org ||Volume 6 Issue 3 ||March. 2017 || PP.67-76
www.ijmsi.org 67 | Page
A General Property Differentiating Between Redox and
Non-Redox Electrolytic Systems and Its Consequences
Anna Maria Michałowska-Kaczmarczyk 1
, Aneta Spórna-Kucab 2
,
Tadeusz Michałowski 2
1
Department of Oncology, The University Hospital in Cracow, 31-501 Cracow, Poland
2
Department of Analytical Chemistry, Technical University of Cracow, 31-155 Cracow, Poland
ABSTRACT: The general property of electrolytic systems with aqueous solutions is presented. For this pur-
pose, the linear combination 2∙f(O) – f(H) of elemental balances: f(H) for hydrogen (H) and f(O) for oxygen (O)
is put in context with other elemental or core balances f(Ym) (Ym ≠ H, O), and charge balance (ChB) related to
the system in question. It is stated that 2∙f(O) – f(H) is (a) linearly independent on f(Ym) and ChB for a redox
system, or (b) is linearly dependent on ChB and f(Ym) when related to a non-redox system. The general manner
of formation of the intended/desired linear combination is indicated. The balance 2∙f(O) – f(H) is the primary
form of the generalized electron balance (GEB), completing the set of equations needed for quantitative descrip-
tion of electrolytic redox systems, pr-GEB = 2∙f(O) – f(H), according to principles of the generalized approach
to electrolytic systems (GATES). The GEB is perceived as a Law of Nature, as the hidden connection of physi-
cochemical laws. This manner of GEB formulation needs none prior information on oxidation numbers for ele-
ments in components forming a (static or dynamic) system, and in the species of the system thus formed. Within
GATES/GEB, the roles of oxidants and reductants are not indicated a priori at the stage of formulation of the
related balances in redox systems. These properties can be generalized on non-redox and redox systems of any
degree of complexity, also in mixed-solvent media, with amphiprotic co-solvent(s) involved.
Keywords: GATES, GEB, GATES/GEB, linear combination.
I. INTRODUCTION
Any electrolytic system is perceived as the macroscopic part of the Universe, selected for observation
and experimentation. For modeling purposes, we assume a closed system, separated from its environ-
ment/surroundings by diathermal walls, preventing the matter exchange but allowing the exchange of heat, re-
sulting from exo- or endothermic process occurred in the system. This way, any dynamic process, represented
by titration, may proceed – for modeling purposes – in quasistatic manner, under isothermal conditions. Con-
stant temperature is one of conditions securing constancy of equilibrium constants related to the system in ques-
tion. In further discussion, we refer to chemical entities with defined chemical composition, formed from the
elements, whose atoms/nuclei do not subject to radioactive (α,β-
,β+
, electron capture) transformations. These
entities are considered (i) as components/compounds forming a system, or (ii) as the species formed in the sys-
tem/mixture, after mixing these components.
Static and dynamic systems are distinguished. A static system, of volume V0 mL, is obtained after a
disposable mixing specific chemical compounds. A dynamic system can be realized according to titrimetric
mode, where V mL of titrant T, added in successive portions into V0 mL of titrand D, and V0+V mL of D+T
mixture is obtained at this point of the titration, if the assumption of the volumes additivity is valid; D and T are
the sub-systems of the D+T system.
In order to balance an electrolytic system, two physical laws of conservation are applied, namely:
1o
the law of charge conservation, represented by charge balance (f0 = ChB), interrelating the numbers Ni of a
subset of charged species (ions of i-th kind, zi ≠ 0) in the system, and
2o
the law of elements/cores conservation, interrelating – in elemental/core balances fj = f(Yj) – the numbers N0j
of molecules of j-th kind as components forming a system, and the numbers Ni of species of i-th kind formed in
the system.
In our considerations we concern the linear dependency or independency of algebraic equations, expressed by
charge (ChB) and elemental or core balances, related to the system in question. A core is a cluster of atoms with
defined chemical formula, structure and external charge that is not changed in the system; e.g. SO4
-2
is a core in
Eqs. 16, 22, 30, 41.
Correspondence to Tadeusz Michałowski: Faculty of Chemical Engineering and Technology, Cracow University of Technology, Wars-
zawska 24, 31-155 Cracow, Poland. Tel. : 48 12 628 21 77. E-mail address: michalot@o2.pl (T. Michałowski).
2. A general property differentiating between redox and non-redox electrolytic systems and its conse..
www.ijmsi.org 68 | Page
The discussion will concern here aqueous solutions, where the species iz
i
X exist as hydrates iW
z
i
nX i
; zi = 0,
±1, ±2,…is a charge, expressed in terms of elementary charge units, e = F/NA (F = Faraday‟s constant, NA =
Avogadro‟s number), ni = iW
n ≥ 0 is a mean number of water (W=H2O) molecules attached to iz
i
X . For order-
ing purposes we assume: OHX 2
z
1
1
, 2W
z
2
nX 2
= H+1
∙n2W, 3W
z
3
nX 3
= OH-1
∙n3W, … , i.e., z1 = 0, z2 = 1, z3 = –
1, … . Molar concentration [mol/L] of the species iW
z
i
nX i
(i=2,3,…) will be denoted as ][X iz
i
. The ni = niW
values are virtually unknown – even for 2
z
2
X = H+1
[1] in aqueous media, and depend on ionic strength of the
solution.
The iz
i
X ‟s with different numbers of H2O molecules attached, e.g. H+1
, H3O+1
and H9O4
+1
; H4IO6
-1
and IO4
-1
, are
considered equivalently, i.e., as the same species, in this medium [2-9].
In further parts of the paper we apply the notations:
o J – number of kinds of components forming the system; T
0J0j010 ]N,...,N,...,[NN – vector of numbers of
the components; the main component in aqueous media is water W=H2O;
o I – number of different kinds of species formed in the system; T
Ii1 ]N,...,N,...,[NN – vector of numbers
of the species, where: N1 – number of free W=H2O molecules; N2 – number of H+1
∙n2W ions; N3 – number
of OH-1
∙n3W ions, …;
o fg = f(Yg) – notation of elemental or core balances, expressed in terms of numbers of particular entities: N0j
for components, and Ni for species. In particular, we have: f1 = f(H) for Y1 = H, f2 = f(O) for Y2 = O; fg =
f(Yg) (g≥3,…,G for Yg ≠ H, O) refer to other elements and/or cores; N1, together with niW, are included in
the balances f1 = f(H) and f2 = f(O);
o Fg = F(Yg) – notation of elemental or core balances, expressed in terms of molar concentrations; in particu-
lar, we have: F1 = F(H) for Y1 = H, F2 = F(O) for Y2 = O; Fg = F(Yg) (g≥3,…,G for Yg ≠ H, O) refer to oth-
er elements and/or cores.
On this basis, the general property distinguishing between redox and non-redox systems, obligatory for electro-
lytic systems of any degree of complexity, will be derived, and the generalized electron balance (GEB), com-
pleting the set of algebraic equations necessary for quantitative description of redox systems, will be formulated
and applied for resolution of the redox system, according to principles assumed in the Generalized Approach to
Electrolytic Systems (GATES) [10]. An important generalization, valid for electrolytic systems of any degree of
complexity, will also be done. The considerations/generalization can be extended on multi-solvent media, with
amphiprotic co-solvent(s) involved [11].
Let us consider the set of G+1 equations: fg(x) = φg(x) – bg = 0, where g = 0,1,…,G, xT
= (x1,…,xI) – transposed
( T
) vector x, composed of independent (scalar) variables xi (i ϵ <1, I>); agi, bg ϵ ℛ are independent (explicitly)
on x. After multiplying the equations by the numbers ωg ϵ ℛ, and addition of the resulting equations, we get the
linear combination 0)(fω
G
0g gg
x ⇔
G
0g gg
G
0g gg bω)(ω x of the basic equations.
Formation of linear combinations is applicable to check the linear dependency or independency of the balances.
A very useful/effective manner for checking/stating the linear dependence of the balances is the transformation
of an appropriate system of equations to the identity, 0 = 0 [2]. For this purpose we will try, in all instances, to
obtain the simplest form of the linear combination. To facilitate these operations, carried out by cancellation of
the terms on the left and right sides of equations after changing sides of these equations, we apply the equivalent
forms of the starting equations fg(x) = 0:
fg(x) : φg(x) – bg = 0 ⇔ φg(x) = bg ⇔ – fg(x) : –φg(x) = –bg ⇔ bg = φg(x)
In this notation, fg(x) will be essentially treated not as the algebraic expression on the left side of the equation
fg(x) = 0, but as an equation that can be expressed in alternative forms presented above.
II. LINEAR COMBINATION OF ALGEBRAIC EQUATIONS
Any algebraic equation, and linear equation in particular, can be presented as f(x) = 0, where x is a vector of
independent variables xi, x = [x1,…,xI]T
, where T
is the transposition sign. In turn, for a system of equations fg(x)
= 0 (g = 1,…,G), after multiplication of each of these equations by the numbers ωg (g = 1,...,G), we get the linear
combination thereof
G
1g
gg 0)(fω x (1)
At properly selected ωg values, Eq. 1 assumes the simplest form. For the system of linearly dependent equations
fg(x) = 0 (g = 1,…,G), the simplest linear combination (1) is expressed by the identity, 0 = 0.
For a beginning, let us consider a set of G linear, algebraic equations
3. A general property differentiating between redox and non-redox electrolytic systems and its conse..
www.ijmsi.org 69 | Page
g
I
1i
igi bxa
0bxa g
I
1i
igi
(g = 1,…,G) (2)
where aig are the coefficients, and bg – free terms. When multiplying Eq. 2 by ωg, after subsequent summation
we have
G
1j
gg
I
1i
igi
G
1g
g bωxaω
G
1g
gg
G
1g
gig
I
1i
i bωaωx (3)
Assuming
J
1j
0jgjg xbb (4)
from Eqs. 3 and 4 we have
G
1g
gjg
J
1j
0j
G
1g
gig
I
1i
i bωxaωx (5)
III. LINEAR COMBINATION OF BALANCES FOR ELECTROLYTIC SYSTEMS
Non-redox and redox electrolytic systems can be formulated with use of charge and elemental or core
balances. For some reasons, it is more convenient to start the balancing from the numbers N0j of particular com-
ponents of the system and the numbers Ni of the species in the system thus formed, and then recalculate them in
terms of molar concentrations. This recalculation is needed because the algebraic formulas for equilibrium con-
stants related to electrolytic systems are expressed in terms of molar concentrations.
Non-redox and redox electrolytic systems can be formulated with use of charge and elemental or core
balances. For some reasons, it is more convenient to start the balancing a system from the numbers N0j of par-
ticular components of the system and the numbers Ni of the species in the system thus formed, and then recalcu-
late them in terms of molar concentrations. This recalculation is needed because the algebraic formulas for equi-
librium constants related to electrolytic systems are expressed in terms of molar concentrations.
Referring to the problem in question, and placing xi = Ni, x0j = N0j in Eqs. 4, 5, we have:
J
1j
0jgjg Nbb (4a)
G
1g
gjg
J
1j
0j
G
1g
gig
I
1i
i bωNaωN (5a)
The charge balance: f0 = ChB and F0 = CHB, is expressed as follows
(a) ChB: 0NzNa i
I
2i
ii
I
2i
0i0
f ; (b) CHB: 0][Xz i
z
i
I
2i
i0
F (6)
where a0i = zi, and :
][X iz
i
= 103
∙Ni/NA/V0 (7)
in a static, or
][X iz
i
= 103
∙Ni/NA/(V0+V) (8)
in a dynamic system; z1=0 for OHX 2
z
1
1
, z2=+1 for 1z
2
HX 2
, z3=-1 for 1z
3
OHX 3
, … .
For ChB (g=0), where the right side equals zero, from Eq, 4a we have:
0Nbb
J
1j
0j0j0
⇒ b0j = 0 (j=1,…,J) (4b)
and Eq. 5a can be completed as follows
G
0g
gjg
J
1j
0j
G
0g
gig
I
1i
i bωNaωN (5b)
The elemental/core balances: f(H), f(O) and f(Yg) (Yg ≠ H, O, g≥3,…,G) are written as follows:
0NbN)2n(a(H) 0j
J
1j
1jiiW
I
1i
1i1
ff for Y1 = H, 0NbN)n(a(O) 0j
J
1j
2jiiW
I
1i
2i2
ff for
Y2 = O, … , 0NbNa 0j
J
1j
gji
I
1i
gig
f , … , 0NbNaf 0j
J
1j
Gji
I
1i
GiG
(9)
where agi and bgj are the numbers of atoms/cores of g-th kind in i-th species and j-th component, resp. Then the
balance
4. A general property differentiating between redox and non-redox electrolytic systems and its conse..
www.ijmsi.org 70 | Page
0N)b(2bN)a(2a(H)(O)22 0j1j
J
1j
2ji1i
I
2i
2i1212
fffff (10)
is formulated. Denoting, for a moment, ω1 = –1, ω2 = 2, we transform the balance (10) into the form
0ωω)N(bN(a(ω)NbN(a(ω
*
22
*
110j
J
1j
2ji
I
2i
2i20j
J
1j
2ji
I
2i
1i112
fff (10a)
In Equation 10a, the expressions for f1
*
and f2
*
have the shape similar to the general expression for fg (g=3,…,G)
in Eqs. 9.
In the balances related to aqueous media, the terms involved with water, namely N1, N0j (for j related to
H2O, as the component), and all ni = niW are not involved in f0, f3,…,fG, or are cancelled within f12, Eqs. 10, 10a).
The species in which H and O are not involved in iz
i
X , are also cancelled within f12. Also the entities iz
i
X that
can be rewritten into the form i
z
im2 UO)(H (m=0,1,…), with a sub-core i
z
i
U , where H and O are not involved,
are cancelled within f12 (Eq. 10); e.g. CH3COOH, as components and species, is transformable (mentally, pur-
posefully) into C2H4O2 ≡ C2(H2O)2. As will be stated later, the ωg values are involved with excessive H and/or O
atoms within the sub-core i
z
i
U of i
z
i
X = i
z
im2 UO)(H .
For the convenience of linear combination of f12 with other elemental/core balances, we can apply the equivalent
relations for g≥3,…,G:
0NbNa 0j
J
1j
gji
I
1i
gig
f
0j
J
1j
gji
I
1i
gi NbNa
(11)
for a positive oxidation degree, or
0NaNb i
I
1i
gi0j
J
1j
gjg
f i
I
1i
gi0j
J
1j
gj NaNb
(12)
for a negative oxidation degree.
The linear combination of all G balances: f0, f1,2, f3,…,fG , obtained from Eqs. 5a and 6a, can be presented in
equivalent forms:
G
1g
gjg
J
1j
0j
G
1g
gigi
I
1i
i bωNaωzN (13a)
0bNaNωzN
G
1g
I
1i
gj
J
1j
0jgiigi
I
1i
i
(13b)
0ω g
G
3g
g120
fff (13c)
0)(Yω(H))(O)2(ChB i
G
3g
g
fff (13d)
0ChB)(Y)ω((O))2((H)))1( ig
G
3g
fff (13e)
All multipliers at Ni and N0j in Eq. 13a are cancelled simultaneously if we have:
0aωz
G
1g
gigi
and
G
1g
gjg 0bω (14)
for all i and j values (i = 1,…,I; j = 1,…,J), i.e., Eq. 13a is transformed into identity
0N0N
J
1j
0j
I
1i
i
0 = 0 (15)
Transformation of a set of the equations into the identity, 0 = 0, proves the linear dependence between the equa-
tions considered [2]. Then from Equation 13c we have
0g
G
3g
g12 )ω( fff
(13f)
i.e., f12 is the dependent balance.
5. A general property differentiating between redox and non-redox electrolytic systems and its conse..
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IV. A NON-REDOX SYSTEM
We refer here to titration of V0 mL of the titrand D composed of ZnSO4 (C0) + NH3 (C01) + NH4Cl
(C02) + erio T = C20H12N3O7SNa (C03) with V mL of EDTA (C) as titrant T [12] added up to a given point of the
titration. We assume that V0 mL of D is composed of N01 molecules of ZnSO4·7H2O, N02 molecules of NH3, N03
molecules of NH4Cl, N04 molecules of NaH2In = C20H12N3O7SNa, N05 molecules of H2O, and V mL of titrant T
is composed of: N06 molecules of EDTA = Na2H2L·2H2O = C10H14N2O8Na2·2H2O and N07 molecules of H2O. In
V0+V mL of the D+T mixture thus formed, we have the following species:
H2O (N1), H+1
(N2,n2), OH-1
(N3,n3), HSO4
-1
(N4,n4), SO4
-2
(N5,n5), Cl-1
(N6,n6), Na+1
(N7,n7), NH4
+1
(n8,N8),
NH3 (n9,N9), Zn+2
(N10,n10), ZnOH+1
(N11,n11), soluble complex Zn(OH)2 (N12,n12), Zn(OH)3
-1
(N13,n13),
Zn(OH)4
-2
(N14,n14), ZnNH3
+2
(N15,n15), Zn(NH3)2
+2
(N16,n16), Zn(NH3)3
+2
(N17,n17), Zn(NH3)4
+2
(N18,n18), ZnCl+1
(N19,n19), ZnSO4 (N20,n20), C20H13N3O7S (N21,n21), C20H12N3O7S-1
(N22,n22), C20H11N3O7S-2
(N23,n23),
C20H10N3O7S-3
(N24,n24), C20H10N3O7SZn-1
(N25,n25), (C20H10N3O7S)2Zn-4
(N26,n26), C10H18N2O8
+2
(H6L+2
)
(N27,n27), C10H17N2O8
+1
(H5L+1
) (N28,n28), C10H16N2O8 (H4L) (N29,n29), C10H15N2O8
-1
(H3L-1
) (N30,n30),
C10H14N2O8
2-
(H2L-2
) (N31,n31), C10H13N2O8
-3
(HL-3
) (N32,n32), C10H12N2O8
-4
(L-4
) (N33,n33), C10H13N2O8Zn-1
(ZnHL-1
) (N34,n34), C10H12N2O8Zn-2
(ZnL-2
) (N35,n35), C10H13N2O9Zn-3
(ZnOHL-3
) (N36,n36).
These species are arranged in the following balances:
f1 = f(H) :
2N1 + N2(1+2n2) + N3(1+2n3) + N4(1+2n4) + 2N5n5 + 2N6n6 + 2N7n7 + N8(4+2n8) + N9(3+2n9) + 2N10n10
+ N11(1+2n11) + N12(2+2n12) + N13(3+2n13) + N14(4+2n14) + N15(3+2n15) + N16(6+2n16) + N17(9+2n17)
+ N18(12+2n18) + 2N19n19 + 2N20n20 + N21(13+2n21) + N22(12+2n22) + N23(11+2n23) + N24(10+2n24)
+ N25(10+2n25) + N26(20+2n26) + N27(18+2n27) + N28(17+2n28) + N29(16+2n29) + N30(15+2n30)
+ N31(14+2n31) + N32(13+2n32) + N33(12+2n33) + N34(13+2n34) + N35(12+2n35) + N36(13+2n36)
= 14N01 + 3N02 + 4N03 + 12N04 + 2N05 + 18N06 + 2N07
f2 = f(O) :
N1 + N2n2 + N3(1+n3) + N4(4+n4) + N5(4+n5) + N6n6 + N7n7 + N8n8 + N9n9 + N10n10
+ N11(1+n11) + N12(2+n12) + N13(3+n13) + N14(4+n14) + N15n15 + N16n16 + N17n17
+ N18n18 + N19n19 + N20(4+n20) + N21(7+n21) + N22(7+n22) + N23(7+n23) + N24(7+n24)
+ N25(7+n25) + N26(14+n26) + N27(8+n27) + N28(8+n28) + N29(8+n29) + N30(8+n30)
+ N31(8+n31) + N32(8+n32) + N33(8+n33) + N34(8+n34) + N35(8+n35) + N36(9+n36)
= 11N01 + 7N04 + N05 + 10N06 + N07
f12 = 2·f(O) – f(H)
– N2 + N3 + 7N4 + 8N5 – 4N8 – 3N9 + N11 + 2N12 + 3N13 + 4N14 – 3N15 – 6N16 – 9N17 – 12N18 + 8N20 + N21
+ 2N22 + 3N23 + 4N24 + 4N25 + 8N26 – 2N27 – N31 + N30 + 2N31 + 3N32 + 4N33 + 3N34 + 4N35 + 5N36
= 8N01 – 3N02 – 4N03 + 2N04 + 2N06 (16)
f0 = ChB
N2 – N3 – N4 – 2N5 – N6 + N7 + N8 + 2N10 + N11 – N13 – 2N14 + 2N15 + 2N16 + 2N17 + 2N18 + N19 – N22 – 2N23
– 3N24 – N25 – 4N26 + 2N27 + N28 – N30 – 2N31 – 3N32 – 4N33 – N34 – 2N35 – 3N36 = 0 (17)
f3 = f(Cl) : N6 + N21 = N03 (18)
– f4 = – f(Na) : N04 + 2N06 = N7 (19)
– f5 = – f(S) = – f(SO4) : N01 = N4 + N5 + N20 (20)
f6 = f(NH3) : N8 + N9 + N16 + 2N17 + 3N18 + 4N19 = N02 + N03 (21)
– f7 = – f(Zn) :
N01 = N10 + N11 + N12 + N13 + N14 + N15 + N16 + N17 + N18 + N19 + N20 + N21 + N22 + N34 + N35 + N36 (22)
– f8 = – f(C20H12N3O7S) : N04 = N21 + N22 + N23 + N24 + N25 + 2N26 (23)
f9 = f(C10H12N2O8)
N27 + N28 + N29 + N30 + N31 + N32 + N33 + N34 + N35 + N36 = N06 (24)
Then we have, by turns,
2·f(O) – f(H) + ChB + f(Cl) – f(Na) – 6·f(SO4) + 3·f(NH3) – 2·f(Zn) – f(C20H10N3O7S)
– 0·f(C10H12N2O8) = 0 (25)
(+1)∙f(H) + (–2)·f(O) + (–1)·f(Cl) + (+1)·f(Na) +(+6)·f(SO4) + (–3)·f(NH3) + (+2)·f(Zn) + (+1)·f(C20H10N3O7S)
+ 0·f(C10H12N2O8) – ChB = 0 (26)
2·f(O) – f(H) = – f(Cl) + f(Na) + 6·f(SO4) – 3·f(NH3) + 2·f(Zn) + f(C20H10N3O7S) – ChB
Because all the components Ni and N0i in Eq. 25 are cancelled, it follows that Eq. 25 and then Eq. 26
express the identity, 0 = 0. From Eq. 26 we see that the multipliers of the corresponding simple ions are equal to
their oxidation numbers: ω1 = +1 for H, ω2 = –2 for O, ω3 = –1 for Cl, ω4 = +1 for Na, ω7 = +2 for Zn. The
multipliers for f(SO4) and f(NH3) are equal to oxidation numbers: ω5 = +6 for S in SO4
-2
, and ω6 = –3 for N in
NH3. As refers to H3In = C20H13N3O7S = C20N3S(H2O)6OH, we have x=ω8 = 1, calculated from x–2+1 = 0,
whereas for H4L = C10H16N2O8 = C10N2(H2O)8 we have ω9 = 0.
6. A general property differentiating between redox and non-redox electrolytic systems and its conse..
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The element S enters the balance (20) as a core SO4
-2
; note that S enters also another core in Eq. 23.
Moreover, N enters different cores in Eqs. 21, 23 and 24. Each of the relations: 18, 19, involving only one kind
of species, is considered as equality, not equation. In equations we have at least two kinds of species, interre-
lated in expression(s) for the corresponding equilibrium constant(s). In an equality, concentration of the species
is a number at defined volume V considered, from the calculation viewpoint, as a parameter of the related sys-
tem. This remark is put in context with the equality of the numbers of equations and the numbers of; we have
there CHB and 5 concentration balances and 6 independent variables composing the vector x = (pH, pSO4,
pNH3, pZn, pC10H12N2O8, pC10H12N2O8)T
, where pXi = -log[Xi]. The CHB and CB(Yg) are obtained on the basis
of Eqs. 17, 20 – 24 and the relations: (8), C0V0 = 103
∙N01/NA, C01V0 = 103
∙N02/NA, C02V0 = 103
∙N03/NA, C03V0 =
103
∙N04/NA, CV = 103
∙N06/NA.
Because 2·f(O) – f(H) (Eq. 16) is not an independent balance, the balances: f(O) and f(H) and then f(O) – f(H)
are not formulated in mathematical description of this (non-redox) system. This regularity is obligatory for all
non-redox systems, of any degree of complexity.
V. A REDOX SYSTEM
We refer here to titration of V0 mL of the titrand D containing FeSO4 (C0) + H2SO4 (C01) with V mL of
titrant T, containing KMnO4 (C) , added up to a given point of the titration. We assume that V0 mL of D is com-
posed of FeSO4∙7H2O (N01 molecules), H2SO4 (N02 molecules) and H2O (N03 molecules), and V mL of T is
composed of KMnO4 (N04 molecules), and H2O (N05 molecules). In V0+V mL of the D+T mixture thus formed
we have the following species: H2O (N1), H+1
(N2,n2), OH-1
(N3,n3), HSO4
-1
(N4,n4), SO4
-2
(N5,n5), Fe+2
(N6,n6),
FeOH+1
(N7,n7), FeSO4 (N8,n8), Fe+3
(N9, n9), FeOH+2
(N10, n10), Fe(OH)2
+1
(N11, n11), Fe2(OH)2
+4
(N12, n12),
FeSO4
+1
(N13, n13), Fe(SO4)2
-1
(N14, n14), Mn+2
(N15, n15), MnOH+1
(N16, n16), MnSO4 (N17, n17), Mn+3
(N18, n18),
MnOH+2
(N19, n19), MnO4
-2
(N20, n20), MnO4
-1
(N21, n21), K+1
(N22, n22).
The balances for this system are as follows:
f1 = f(H)
2N1 + N2(1+2n2) + N3(1+2n3) + N4(1+2n4) + 2N5n5 + 2N6n6 + N7(1+2n7) + 2N8n8 + 2N9n9 + N10(1+2n10)
+ N11(2+2n11) + N12(2+2n12) + 2N13n13 + 2N14n14 + 2N15n15 + N16(1+2n16) + 2N17n17 + 2N18n18 + N19(1+2n19)
+ 2N20n20 + 2N21n21 + 2N22n22 = 14N01 + 2N02 + 2N03 + 2N05
f2 = f(O)
N1 + N2n2 + N3(1+n3) + N4(4+n4) + N5(4+n5) + N6n6 + N7(1+n7) + N8(4+n8) + N9n9 + N10(1+n10) + N11(2+n11)
+ N12(2+n12) + N13(4+n13) + N14(8+n14) + N15n15 + N16(1+n16) + N17(4+n17) + N18n18 + N19(1+n19) + N20(4+n20)
+ N21(4+n21) + N22n22 = 11N01 + 4N02 + N03 + 4N04 + N05
f0 = ChB
N2 – N3 – N4 – 2N5 + 2N6 + N7 + 3N9 + 2N10 + N11 + 4N12 + N13 – N14 + 2N15 + N16 + 3N18 + 2N19 – 2N20 – N21
+ N22 = 0 (27)
f12 = 2∙f(O) – f(H)
–N2 + N3 + 7N4 + 8N5 + N7 + 8N8 + N10 + 2N11 + 2N12 + 8N13 + 16N14 + N16 + 8N17 + N19 + 8N20 + 8N21
= 8N01 + 6N02 + 8N04 (28)
– f3 = – f(K) : N04 = N22 (29)
– f4 = – f(S) = – f(SO4) : N01 + N02 = N4 + N5 + N8 + N13 + 2N14 + N17 (30)
f5 = f(Fe) : N6 + N7 + N8 + N9 + N10 + N11 + 2N12 + N13 + N14 = N01 (31)
f6 = f(Mn) : N15 + N16 + N17 + N18 + N19 + N20 + N21 = N04 (32)
The linear combination, composed from balances for electron-non-active elements („fans‟ [2,3]), has the form
2∙f(O) – f(H) + ChB – f(K) – 6∙f(SO4) = 0 (33)
2(N6 + N7 + N8) + 3(N9 + N10 + N11 + 2N12 + N13 + N14) + 2(N15 + N16 + N17) + 3(N18 + N19) + 6N20 + 7N21
= 2N01 + 7N04 (33a)
The simplest equation, represented by the balance, involving also electron-active elements („players‟) [2]:
2∙f(O) – f(H) + ChB – f(K) – 6∙f(S) – 3∙f(Fe) – 2∙f(Mn) = 0 (34)
(N18 + N19) + 4N20 + 5N21 – (N6 + N7 + N8) = 5N04 – N01 (34a)
is different from identity 0 = 0, Multiplying Eqs. 34 and 34a by –1, we have:
(+1)∙f(K) + (+6)∙f(SO4) + (+3)∙f(Fe) + (+2)∙f(Mn) + (–2)∙f(O) + (+1)∙f(H) – ChB = 0 (35)
(N6 + N7 + N8) – (5N21 + 4N20 + N18 + N19) = N01 – 5N04 (35a)
Applying the relations: (8) and: 103
∙N01/NA = C0V0, 103
∙N04/NA = CV, from Eq. 35a we have [13]
[Fe+2
] + [FeOH+1
] + [FeSO4] – (5[MnO4
-1
] + 4[MnO4
-2
] + [Mn+3
] + [MnOH+2
]) = (C0V0 – 5CV)/(V0+V) (36)
It is the simplest/shortest form of GEB related to this system, obtained from linear combination of the balances
as specified in Eq. 34, where the multipliers applied are equal to the oxidation numbers of the corresponding
elements in the species present in this system. i.e. f12 (Eq. 28) is not a linear combination of ChB and fg = f(Yg),
g=3,…,6.
7. A general property differentiating between redox and non-redox electrolytic systems and its conse..
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Denoting atomic numbers of Fe and Mn by ZFe (= 26) and ZMn (= 25), from Eqs. 31, 32 and 33a we get the bal-
ance
ZFe∙f(Fe) + ZMn∙f(Mn) – (2∙f(O) – f(H) + ChB + f(K) + 6∙f(S)) = 0 (37)
(ZFe–2)(N6+N7+N8) + (ZFe–3)(N9+N10+N11+2N12+N13+N14) + (ZMn–2)(N15+N16+N17) +
(ZMn–3)(N18+N19) + (ZMn–6)N20 + (ZMn–7)N21 = (ZFe–2)N01 + (ZMn–7)N04 (37a)
Then we have the balance
(ZFe–2)([Fe+2
]+[FeOH+1
]+[FeSO4]) + (ZFe–3)([Fe+3
]+[FeOH+2
]+[Fe(OH)2
+1
]+2[Fe2(OH)2
+4
]+
[FeSO4
+1
] +[ Fe(SO4)2
-1
]) + (ZMn–2)([Mn+2
]+[MnOH+1
]+[MnSO4]) + (ZMn–3)([Mn+3
]+[MnOH+2
])
+ (ZMn–6)[MnO4
-2
] + (ZMn–7)[MnO4
-1
] = (ZFe–2)C0V0 + (ZFe–7)CV)/(V0+V) (38)
identical with GEB obtained immediately according to Approach I to GEB [13-16].
VI. CONCLUSIONS
The question of linear dependence or independence of the equations presented in sections 4 and 5 can be sum-
marized as follows. From G+1 starting balances: f0, f1, f2, f3, … , fG we obtain G balances: f0, f12, f3, … , fG. If f12
is the dependent balance, we have G–1 independent balances: f0, f3, … , fG; it is the case related to non-redox
systems. If f12 is the independent balance, we have G independent balances: f0, f12, f3, … , fG, that will be rear-
ranged – optionally – as the set (f12, f0, f3, … , fG) related to GEB, ChB, and f(Yg) (g=3,…,G), respectively. The
number of elemental/core balances f(Yg) (Yg ≠ H, O, g=3,…,G) and then the number of concentration balances
CB(Yg) in redox systems equals K = G–2.
For redox systems, we have G independent variables, considered as components of the vector x = (E, pH, pY3,
…, pYG)T
, where pYg = –log[Yg] for g = 3,…,G. Each of the variables is ascribed to particular balance: E – to
GEB, pH – to CHB, etc. . For non-redox systems, we have G–1 independent variables, considered as the
components of the vector x = (pH,pY3,…,pYG)T
, where pYg = –log[Yg] for g = 3,…,G.
One can recall here a more complex redox system, where three electron-active elements (considered in the card-
game terminology as „players‟) are involved [8]. It is the D+T system, where V mL of T composed of KMnO4
(N01 molecules) + CO2 (N02) + H2O (N03) is added into V0 mL of D composed of FeSO4·7H2O (N04) +
H2C2O4·2H2O (N05) + H2SO4 (N06) + CO2 (N07) + H2O (N08). This system involves the following species:
H2O (N1), H+1
(N2,n2), OH-1
(N3,n3), K+1
(N4,n4), HSO4
-1
(N5,n5), SO4
-2
(N6,n6), H2C2O4 (N7,n7), HC2O4
-1
(N8,n8),
C2O4
-2
(N9,n9), H2CO3 (N10,n10), HCO3
-1
(N11,n11), CO3
-2
(N12,n12), MnO4
-1
(N13,n13), MnO4
-2
(N14,n14), Mn+3
(N15,n15), MnOH+2
(N16,n16), MnC2O4
+1
(N17,n17), Mn(C2O4)2
-1
(N18,n18), Mn(C2O4)3
-3
(N19,n19), Mn+2
(N20,n20),
MnOH+1
(N21,n21), MnSO4 (N22,n22), MnC2O4 (N23,n23), Mn(C2O4)2
-2
(N24,n24), Mn(C2O4)3
-4
(N25,n25),
Fe2+
(N26,n26), FeOH+1
(N27,n27), FeSO4 (N28,n28), Fe(C2O4)2
-2
(N29,n29), Fe(C2O4)3
-4
(N30,n30), Fe+3
(N31,n31),
FeOH+2
(N32,n32), Fe(OH)2
+1
(N33,n33), Fe2(OH)2
+4
(N34,n34), FeSO4
+1
(N35,n35), Fe(SO4)2
-1
(N36,n36), FeC2O4
+1
(N37,n37), Fe(C2O4)2
-1
(N38,n38), Fe(C2O4)3
-3
(N39,n39), FeC2O4 (N40,n40), MnC2O4 (N41,n41).
In this system we have I = 41 species. Excluding K+1
as a not complexing species in this system, we have I–1 =
40. The set of G=6 balances with G=6 independent scalar variables as components of the vector x = (E, pH,
pSO4, pC2O4,pMn2,pFe2)T
, where: E – potential, pH = –log[H+1
], pSO4 = –log[SO4
-2
], pC2O4 = –log[C2O4
-2
],
pMn2 =log[Mn+2
], pFe2 = –log[Fe+2
] is formulated on the basis of balances f12, f0, f3, f4, f5, f6. The number of
equilibrium constants involved in relations for the equilibrium constants (specified below) is 34; then we get 40
= 6+34. The relations are here as follows:
[OH-1
] = 10pH-14
, [HSO4
-1
] = 101.8-pH
·[SO4
-2
], [H2C2O4] = 105.2-2pH
·[C2O4
-2
], [HC2O4
-1
] = 103.8-pH
·[C2O4
-2
],
[H2CO3] = 10A(E+0.396)+pH
·[H2C2O4]0.5
, [H2CO3] = 1016.4-2pH
·[CO3
-2
], [HCO3
-1
] = 1010.1-pH
·[CO3
-2
],
[MnO4
-1
] = 105A(E–1.507)+8pH
∙[Mn+2
], [MnO4
-2
] = 104A(E–1.743)+8pH
∙[Mn+2
], [Mn+3
] = 10A(E–1.509)
∙[Mn+2
],
[Fe+3
] = 10A(E–0.771)
∙[Fe+2
], Ksp1 = [Fe+2
][C2O4
-2
] (pKsp1=6.7), Ksp2 = [Mn+2
][C2O4
-2
] (pKsp2=5.3),
[FeOH+1
] = 104.5
·[Fe+2
][OH-1
], [FeOH+2
] = 1011.0
·[Fe+3
][OH-1
], [Fe(OH)2
+1
] = 1021.7
·[Fe+3
][OH-1
]2
,
[Fe2(OH)2
+4
] = 1025.1
·[Fe+3
]2
[OH-1
]2
, [MnOH+1
] = 103.4
·[Mn+2
][OH-1
], [FeSO4] = 102.3
·[Fe+2
][SO4
-2
],
[FeSO4
+1
] = 104.18
·[Fe+3
][SO4
-2
], [Fe(SO4)2
-1
] = 107.4
·[Fe+3
][SO4
-2
]2
, [MnSO4] = 102.28
·[Mn+2
][SO4
-2
],
[Fe(C2O4)2
-2
] = 104.52
∙[Fe+2
][C2O4
-2
]2
, [Fe(C2O4)3
-4
] = 105.22
∙[Fe+2
][C2O4
-2
]3
, [FeC2O4
+1
] = 107.53
∙[Fe+3
][C2O4
-2
],
[Fe(C2O4)2
-1
] = 1013.64
∙[Fe+3
][C2O4
-2
]2
, [Fe(C2O4)2
-3
] = 1018.49
∙[Fe+3
][C2O4
-2
]3
, [MnC2O4] = 103.82
∙[Mn2+
][C2O4
2-
],
[Mn(C2O4)2
-2
] = 105.25
∙[Mn+2
][C2O4
-2
]2
, [MnC2O4
+1
] = 109.98
∙[Mn+3
][C2O4
-2
], [Mn(C2O4)2
-1
] =
1016.57
∙[Mn+3
][C2O4
-2
]2
, [Mn(C2O4)3
3-
] = 1019.42
∙[Mn+3
][C2O4
-2
]3
, where A = F/(RT∙ln10) = 16.9 for T = 298 K.
For the redox system in section 5 we have: I–1 = 22–1 = 21 (K+1
is omitted again), G=5 (x = (E, pH, pSO4,
pMn2, pFe2)T
, the number equilibrium constants: 16; then 5+16 = 21. For the non-redox system in section 4 we
have: I–1 = 36–1 = 35 (Na+1
is omitted), G=7 (x = (pH, pSO4, pNH3, pZn, pC20H10N3O7S, pC10H12N2O8, pCl)T
,
where: pC20H10N3O7S = -log[C20H10N3O7S-3
], pC10H12N2O8 = -log[C10H12N2O8
-4
], pCl = -log[Cl-1
], and the
number of equilibrium constants involved in relations for the equilibrium constants is 27; then 35 = (7+27) + 1.
8. A general property differentiating between redox and non-redox electrolytic systems and its conse..
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VII. ON TWO ALTERNATIVE METHODS OF SEARCHING THE DEPENDENCY OR IN-
DEPENDENCY
The linear dependency or independency of balances for non-redox or redox systems were considered above
from the viewpoint of 0 = 0 identity criterion, promoted in this work. In matrix algebra, this problem is resolva-
ble with use of the Kronecker–Capelli theorem and the Gaussian elimination method [17-20].
The set of G balances in Eq. 9 can be presented in a matrix form as follows
AN = BN0 (39)
where:
(a)
GIG2G1
2I2221
1I1211
IG
a...aa
a...aa
a...aa
AA ; (b)
I
2
1
N
N
N
N ; (c)
GJG1
2J21
1J11
bb
bb
bb
B ; (d)
0J
02
01
0
N
N
N
N
(40)
For computational needs, the augmented matrix of A|B type is considered
GJG1
2J21
1J11
GIG2G1
2I2221
1I1211
bb
bb
bb
a...aa
...
a...aa
a...aa
BA (41)
The principal idea of the Gaussian elimination method, perceived as row reduction of a matrix A (Eq.
40a), is characterized by step‐ by‐ step elimination of the variables. It is based on an addition of one equation to
the linear combination of the others in order to eliminate a first variable, and to continue this procedure until
only one variable is left. Once this final variable is determined, its value is substituted back into the other equa-
tions in order to evaluate the remaining unknowns. The operations made on rows and columns of a coefficient
matrix A do not change its rank, r, are called as elementary operations. As a result of these operations, the ma-
trix A is transformed into an upper triangular matrix, named also as a matrix in reduced row echelon form. Gen-
erally, it is an extremely extensive procedure, even in the very simple cases, shown e.g. in [21,22].
The Kronecker-Capelli theorem states that the system of equations has a solution if and only if the rank of the
main matrix A is equal to the rank r of the augmented matrix, i.e., r = rank(A) = rank(A|B).
The Gaussian elimination and the Kronecker-Capelli theorem are usually referred to (illustrated by) „small‟
matrices AG×I (Eq. 40a), similar in its shape to the square matrices.
If we choose any h rows and h columns of the matrix A = AG×I, then the elements at the intersections of these
rows and columns form a square h×h matrix; the determinant Mh×h is one of the minors of this matrix. Then after
deleting G–h rows and I–h columns from the matrix AG×I, where h ≤ min(G,I), we obtain
h
I
h
G minors Mh×h,
where
h)!(nh!
n!
h
n
(n = G, I)
(42)
is the binomial coefficient. For example, a square matrix A5×5 contains
0
5
0
5
= 1 minor of the order 5–0 = 5;
1
5
1
5
= 25 minors of the order 5–1 = 4,
2
5
2
5
= 100 minors of the order 5–2 = 3; and
3
5
3
5
= 100 minors
of the order 5–3 = 2. From the above it is clear that finding the rank (r = rank(A)) of such a matrix by direct
calculation of all its minors would be a very laborious task, not recommended in practice, especially when com-
pared with the (advised) transformation of linear combination to identity, 0 = 0.
Summarizing, both alternative methods, although simple from arithmetic viewpoint, are time-
consuming/tedious, and therefore easily susceptible to mistakes – especially in the cases where the dimensions
of the matrix AG×I are large. Application of the matrix notation for checking the linear dependency or indepen-
dency appears to be uncomfortable/awkward in notation, especially when the number I of kinds of the species is
significant, not falling within a single line. The advantage (superiority) of the identity (0 = 0) method over the
Gaussian elimination method and application of the Kronecker–Capelli theorem is indisputable, especially in
relation to complex electrolytic systems.
9. A general property differentiating between redox and non-redox electrolytic systems and its conse..
www.ijmsi.org 75 | Page
VIII. FINAL COMMENTS
The problem of linear dependency or independency of equations is of fundamental importance in
GATES/GEB [10]. The rank of the related matrix is a natural consequence of this problem. The matrix‟s rank
appears to be one of its most fundamental characteristics in formulation of electrolytic systems, perceived as a
hidden connection of physicochemical laws of the matter conservation. Among others, it provides a criterion
distinguishing between redox and non-redox electrolytic systems. An independent equation obtained from
charge and elemental and/or core balances related to electrolytic redox systems provides the independent equa-
tion known as Generalized Electron Balance (GEB).
A simple, recommended manner of reducing the set of equations for a non-redox system to identity 0 =
0, is based on „painting‟ the related, mutually reducing components of the linear combination of the equations,
prepared according to the pre-assumed mode. On this basis, one can draw the following, very important conclu-
sions specified in section 6, that can be generalized on systems with different degrees of complexity.
It should necessarily be stressed that the balances for an electrolytic system impose certain (not any-
one) coefficients in A and B (Eqs. 40a,c). What's more, we will see that the multipliers/factors of the appropriate
(purposeful) equations forming the linear combination of the starting elemental equations, have a specific inter-
pretation, associated with oxidation numbers (ωg) of the corresponding elements. This is another, important
remark unknown in earlier literature. Thus the conditions of the chemical (elemental balances) and physical
(charge balance, ChB) nature simplify decidedly the issue, when compared with the Gauss elimination method
and Kronecker-Capelli theorem. From this it follows that the determination of the rank of the matrix, and thus
determination of the number of independent equations according to the identity (0 = 0) method is incomparably
simpler and less time-consuming than checking the rank of the matrix with the coefficients whose values are not
subjected to any, preliminary assumptions.
All the regularities stated (here and elsewhere) on the basis of mathematical analysis of the systems of
different complexity, enable to put forward a thesis that the dependency/independency property is of general
nature, applicable to non-redox and redox electrolytic systems, of any degree of complexity. A keystone for the
overall, thermodynamic knowledge on electrolytic systems is the linear combination 2·f(O) – f(H) of elemental
balances: f(H) for H and f(O) for O. The 2∙f(O) – f(H) can be formulated both for non-redox and redox systems,
in aqueous, non-aqueous and mixed-solvent systems, with amphiprotic (co)solvent(s) involved. The equation for
2·f(O) – f(H), considered as the primary form of GEB and denoted as pr-GEB
(H)(O)2GEB ffpr
is the basis of GEB formulation according to Approach II to GEB [1-9,11,12,23-34]. The 2·f(O) – f(H) is linear-
ly independent on ChB and other balances, for elements/cores f(Ym) ≠ H, O, in any redox system. For any non-
redox system, 2·f(O) – f(H) is linearly dependent on those balances [2,4,12,23]. Then the linear independen-
cy/dependency of 2·f(O) – f(H) on the other balances is the general criterion distinguishing between redox and
non-redox systems. Hence, it is clear that the elemental balances: f(H) and f(O) are not involved in mathematical
description of non-redox systems. This statement can be generalized to non-redox systems of any degree of
complexity [4,12].
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