Molecular Mechanics in Molecular ModelingAkshay Kank
In this slide you learn about the computational chemistry and its role in designing a drug molecule. Also learn concept about the molecular mechanics and its application to Computer Aided Drug Design. difference between the Quantum mechanics and Molecular Mechanics.
A ppt compiled by Yaseen Aziz Wani pursuing M.Sc Chemistry at University of Kashmir, J&K, India and Naveed Bashir Dar, a student of electrical engg. at NIT Srinagar.
Warm regards to Munnazir Bashir also for providing us with refreshing tea while we were compiling ppt.
Molecular Mechanics in Molecular ModelingAkshay Kank
In this slide you learn about the computational chemistry and its role in designing a drug molecule. Also learn concept about the molecular mechanics and its application to Computer Aided Drug Design. difference between the Quantum mechanics and Molecular Mechanics.
A ppt compiled by Yaseen Aziz Wani pursuing M.Sc Chemistry at University of Kashmir, J&K, India and Naveed Bashir Dar, a student of electrical engg. at NIT Srinagar.
Warm regards to Munnazir Bashir also for providing us with refreshing tea while we were compiling ppt.
Computational Chemistry aspects of Molecular Mechanics and Dynamics have been discussed in this presentation. Useful for the Undergraduate and Postgraduate students of Pharmacy, Drug Design and Computational Chemistry
For UG students of All Engineering Branches (Mechanical Engg., Chemical Engg., Instrumentation Engg., Food Technology) and PG students of Chemistry, Physics, Biochemistry, Pharmacy
The link of the video lecture at YouTube is
https://www.youtube.com/watch?v=t3QDG8ZIX-8
Bonding and Antibonding interactions; Idea about σ, σ*, π, π *, n – MOs; HOMO, LUMO and SOMO; Energy levels of π MOs of different conjugated acyclic and cyclic systems; Hückel’s rules for aromaticity; Frost diagram
It is basically on SATS (saturation aging tensile stiffness test) and surface energy and its measurement techniques.Mostly helpful for the CIVIL engineering students.
Computational Chemistry aspects of Molecular Mechanics and Dynamics have been discussed in this presentation. Useful for the Undergraduate and Postgraduate students of Pharmacy, Drug Design and Computational Chemistry
For UG students of All Engineering Branches (Mechanical Engg., Chemical Engg., Instrumentation Engg., Food Technology) and PG students of Chemistry, Physics, Biochemistry, Pharmacy
The link of the video lecture at YouTube is
https://www.youtube.com/watch?v=t3QDG8ZIX-8
Bonding and Antibonding interactions; Idea about σ, σ*, π, π *, n – MOs; HOMO, LUMO and SOMO; Energy levels of π MOs of different conjugated acyclic and cyclic systems; Hückel’s rules for aromaticity; Frost diagram
It is basically on SATS (saturation aging tensile stiffness test) and surface energy and its measurement techniques.Mostly helpful for the CIVIL engineering students.
A presentation on Photoacoustic Spectroscopy by Deepak Rajput, UT Space Institute, TN, USA.
This presentation was made as a course requirement at the University of Tennessee Space Institute at Tullahoma.
Lecture 1: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
Lecture 6: Introduction to Quantum Chemical Simulation graduate course taught at MIT in Fall 2014 by Heather Kulik. This course covers: wavefunction theory, density functional theory, force fields and molecular dynamics and sampling.
An Infrared spectrum represents a fingerprint of a sample with absorption peaks which correspond to the frequencies of vibrations between the bonds of the atoms making up the material-Because each different material is a unique combination of atoms, no two compounds produce the exact same spectrum, therefore IR can result in a unique identification of every different kind of material!
The International Journal of Engineering and Science (IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Momentum flux in the electromagnetic fieldSergio Prats
This article shows how to get the flux of momentum in the electromagnetic field from the Maxwell stress tensor in the scope of classical electromagnetism.
Semiclassical mechanics of a non-integrable spin clusterPaul Houle
We study detailed classical-quantum correspondence for a cluster system of three spins with single-axis anisotropic exchange coupling. With autoregressive spectral estimation, we find oscillating terms in the quantum density of states caused by classical periodic orbits: in the slowly varying part of the density of states we see signs of nontrivial topology changes happening to the energy surface as the energy is varied. Also, we can explain the hierarchy of quantum energy levels near the ferromagnetic and antiferromagnetic states with EKB quantization to explain large structures and tunneling to explain small structures.
This is a lecture is a series on combustion chemical kinetics for engineers. The course topics are selections from thermodynamics and kinetics especially geared to the interests of engineers involved in combusition
Field energy correction with discrete chargesSergio Prats
This document introduces a correction in the classical electromagnetic field energy density when there are discrete charges instead of a whole density of charge based in the fact that the EM field induces by a particle does not affect itself and does not contribute to the potential in the hamiltonian.
A deeper analysis is done on how to deal with the radiated field energy, the reaction force and its analogy with quan Vacuum
The Center of Mass Displacement Caused by Field-Charge Interaction Can Solve ...Sergio Prats
This document brings a solution for the "4/3 electromagnetic problem" that shows a discrepancy between the overall momentum for the EM field created by a charged sphere shell and its energy. The solution comes by including a term caused by the charge-field interaction over the sphere (j·E) multiplied by the distance to the center of mass (the center of the charged sphere).
The idea of center of mass displacement on interactions can be applied to other electromagnetic problems, as long as there are particles or systems with some extension, and to other fields of physics.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
This pdf is about the Schizophrenia.
For more details visit on YouTube; @SELF-EXPLANATORY;
https://www.youtube.com/channel/UCAiarMZDNhe1A3Rnpr_WkzA/videos
Thanks...!
(May 29th, 2024) Advancements in Intravital Microscopy- Insights for Preclini...Scintica Instrumentation
Intravital microscopy (IVM) is a powerful tool utilized to study cellular behavior over time and space in vivo. Much of our understanding of cell biology has been accomplished using various in vitro and ex vivo methods; however, these studies do not necessarily reflect the natural dynamics of biological processes. Unlike traditional cell culture or fixed tissue imaging, IVM allows for the ultra-fast high-resolution imaging of cellular processes over time and space and were studied in its natural environment. Real-time visualization of biological processes in the context of an intact organism helps maintain physiological relevance and provide insights into the progression of disease, response to treatments or developmental processes.
In this webinar we give an overview of advanced applications of the IVM system in preclinical research. IVIM technology is a provider of all-in-one intravital microscopy systems and solutions optimized for in vivo imaging of live animal models at sub-micron resolution. The system’s unique features and user-friendly software enables researchers to probe fast dynamic biological processes such as immune cell tracking, cell-cell interaction as well as vascularization and tumor metastasis with exceptional detail. This webinar will also give an overview of IVM being utilized in drug development, offering a view into the intricate interaction between drugs/nanoparticles and tissues in vivo and allows for the evaluation of therapeutic intervention in a variety of tissues and organs. This interdisciplinary collaboration continues to drive the advancements of novel therapeutic strategies.
Richard's entangled aventures in wonderlandRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
Multi-source connectivity as the driver of solar wind variability in the heli...Sérgio Sacani
The ambient solar wind that flls the heliosphere originates from multiple
sources in the solar corona and is highly structured. It is often described
as high-speed, relatively homogeneous, plasma streams from coronal
holes and slow-speed, highly variable, streams whose source regions are
under debate. A key goal of ESA/NASA’s Solar Orbiter mission is to identify
solar wind sources and understand what drives the complexity seen in the
heliosphere. By combining magnetic feld modelling and spectroscopic
techniques with high-resolution observations and measurements, we show
that the solar wind variability detected in situ by Solar Orbiter in March
2022 is driven by spatio-temporal changes in the magnetic connectivity to
multiple sources in the solar atmosphere. The magnetic feld footpoints
connected to the spacecraft moved from the boundaries of a coronal hole
to one active region (12961) and then across to another region (12957). This
is refected in the in situ measurements, which show the transition from fast
to highly Alfvénic then to slow solar wind that is disrupted by the arrival of
a coronal mass ejection. Our results describe solar wind variability at 0.5 au
but are applicable to near-Earth observatories.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Potential Energy Surface Molecular Mechanics ForceField
1. Rev-01
Jahan B Ghasemi
Drug Design in Silico Lab.
Chem Faculty, K N Toosi Univ of Tech
Tehran, Iran
May 1 2014
Knowledge is antidote to fear –Ralph Waldo Emerson
Knowledge is power – Hakim Abolghasem Ferdoosi
Slide 1 of 101
2. Slide 2 of 101
• Example :
• Familiar conformation of the Butane
7
6
5
4
3
2
1
0
0 60 120 180 240 300 360
0.3
0.25
0.2
0.15
0.10
0.1
0.05
0
C
B
D
E
F
Potentialenergy
Dihedral angle
Probability
3. Slide 3 of 101
ENERGY AS A FUNCTION OF GEOMETRY
• POLYATOMIC MOLECULE:
• N-DEGREES OF FREEDOM
• N-DIMENSIONAL POTENTIAL ENERGY SURFACE
http://www.chem.wayne.edu/~hbs/chm6440/PES.html
4. A PES is the relationship – mathematical or graphical – between
the energy of a molecule (or a collection of molecules) and its geometry.
The Born–Oppenheimer approximation says that in a molecule the nuclei
are essentially stationary compared to the electrons.
It makes:
1- The concept of molecular shape (geometry) meaningful,
2- Makes possible the concept of a PES, and
3- Simplifies the application of the Schrödinger equation to molecules by
allowing us to focus on the electronic energy and add in the nuclear
repulsion energy later
Slide 4 of 101
5. The graph of potential energy against bond length is
an example of a potential energy surface. A line is a
one-dimensional “surface”.
The potential energy surface for a
diatomic molecule. The potential energy
increases if the bond length q is stretched
or compressed away from its equilibrium
value qe. The potential energy at qe (zero
distortion of the bond length) has been
chosen here as the zero of energy.
Slide 5 of 101
6. 1.They vibrate incessantly(continuously) about the equilibrium bond
length, so that they always possess kinetic energy (T) and/or
potential energy (V): as the bond length passes through the
equilibrium length, V = 0, while at the limit of the vibrational
amplitude, T = 0; at all other positions both T and V are nonzero.
The fact that a molecule is never actually stationary with zero
kinetic energy (it always has zero point energy) is usually shown
on potential energy/bond length diagrams by drawing a series of
lines above the bottom of the curve to indicate the possible
amounts of vibrational energy the molecule can have (the
vibrational levels it can occupy
Real molecules behave similarly to, but differ from our macroscopic model in two
relevant ways:
Slide 6 of 101
7. Actual molecules do not sit still at the bottom of the potential energy
curve, but instead occupy vibrational levels. Also, only near qe, the
equilibrium bond length, does the quadratic curve approximate the true
potential energy curve
A molecule never sits at the bottom of
the curve, but rather occupies one of
the vibrational levels, and in a
collection of molecules the levels are
populated according to their spacing
and the temperature. We will usually
ignore the vibrational levels and
consider molecules to rest on the actual
potential energy curves or (see below)
surfaces.
Slide 7 of 101
8. 2- Near the equilibrium bond length qe the potential
energy/bond length curve for a macroscopic balls-and-
spring model or a real molecule is described fairly well
by a quadratic equation, that of the simple harmonic
oscillator E=(½)K(q-qe)2, where k is the force constant
of the spring).
However, the potential energy deviates from the
quadratic (q2) curve as we move away from qe.
Slide 8 of 101
9. A two dimensional PES (a normal surface is a 2-D object) in the three-dimensional graph; we could make
an actual 3-D model of this drawing of a 3-D graph of E versus q1 and q2.
The H2O potential energy surface. The point Pmin corresponds to the minimum-energy geometry for the three atoms, i.e.
to the equilibrium geometry of the water molecule
Slide 9 of 101
10. The HOF PES is a 3-D
“surface” of more than two
dimensions in 4-D space:
- It is a hypersurface, and
potential energy surfaces
are sometimes called
potential energy
hypersurfaces.
- -We can define the
equation E = f(q1, q2, q3)
as the potential energy
surface for HOF, where f is
the function that describes
how E varies with the q’s,
and treat the hypersurface
mathematically.
To plot energy against three geometric parameters in a
Cartesian coordinate system we would need four
mutually perpendicular axes. Such a coordinate system
cannot be actually constructed in our three-dimensional
space. However, we can work with such coordinate
systems, and the potential energy surfaces in them,
mathematically.
Slide 10 of 101
11. Minimum Potential Energy Geometry at PES
landscape:
- AB is the point at which dE/dq = 0.
- H2O PES the point Pm, at this point dE/dq1 =
dE/dq2 = 0.
- For hypersurfaces cannot be faithfully
rendered pictorially, a computational chemist
use slice of a multidimensional diagram:
Slide 11 of 101
12. The slice could be made
holding one or the other
of the two geometric
parameters constant, or
it could involve both of
them, giving a diagram
in which the geometry
axis is a composite of
more than one
geometric parameter.
Slide 12 of 101
13. A 3-D slice of the hypersurface
for HOF or even a more complex
molecule E versus q1, q2 diagram
to represent the PES.
A 2-D diagram, with q
representing: one, two or all of
the geometric
parameters(composite).
2D and particularly 3D graphs
preserve qualitative and even
quantitative features of the
mathematically rigorous but
unvisualizable E = f(q1, q2, . . .
qn) n-dimensional hypersurface.
1- The angle HOF is constant not optimized Unrelaxed or rigid
PES.
2- The angle HOF is fully optimized this would be a relaxed PESSlide 13 of 101
14. Stationary Points
Among the main tasks of computational chemistry are to determine the
structure and energy of molecules and of the transition states involved in
chemical reactions: our “structures of interest” are molecules and the
transition states linking them.
Consider the reaction
Slide 14 of 101
15. E (calculated by the AM1) plotted against:
1- The bond length (assume the two O–O bonds are equivalent)
2- The O–O–O bond angle.
A slice through the reaction coordinate
gives a 1D “surface” in a 2D diagram.Slide 15 of 101
16. The slice goes(the curve itself not IRC axis) along the lowest-energy path
connecting ozone, isoozone and the transition state, that is, along the reaction
coordinate.
The horizontal axis (the reaction coordinate) of the 2D diagram is a composite of
O–O bond length and O–O–O angle.
In most discussions this horizontal axis represents the progress of the reaction.
Slide 16 of 101
17. Ozone, isoozone, and the transition state are called stationary points.
The Specification of SP:
- A stationary point on a PES is a point at which the surface is flat, i.e.
parallel to the horizontal line corresponding to the one geometric parameter
(or to the plane corresponding to two geometric parameters, or to the
hyperplane corresponding to more than two geometric parameters).
- A marble placed on a stationary point will remain balanced, i.e. stationary
(in principle; for a transition state the balancing would have to be exquisite
indeed).
At any other point on a potential surface the marble will roll toward a
region of lower potential energy.
Slide 17 of 101
18. Mathematically, a stationary point is one at which the first derivative of
the potential energy with respect to each geometric parameter is zero:
Slide 18 of 101
19. Local Minima, Global Minima:
Stationary points that correspond to actual molecules
with a finite lifetime (in contrast to transition states,
which exist only for an instant), like ozone or isoozone,
are minima, or energy minima:
Each occupies the lowest-energy point in its region of the
PES, and any small change in the geometry increases the
energy, as indicated in Fig.
Ozone is a global minimum, since it is the lowest-energy
minimum on the whole PES,
Isoozone is a relative minimum, a minimum compared
only to nearby points on the surface.
Slide 19 of 101
20. The lowest-energy pathway
linking the two minima is the
path that would be followed by
a molecule in going from one
minimum to another.
It should acquire just enough
energy to overcome the
activation barrier, pass through
the transition state, and reach
the other minimum.
Slide 20 of 101
21. The transition state linking the two
minima represents a maximum along
the direction of the IRC, but along all
other directions it is a minimum.
This a saddle-shaped surface, and the
transition state is called a saddle point.
(Just like a Saddle while is minimum in one direction, Horse main axis, is
maximum in the other direction, orthogonal to the main Horse axis)
The saddle point lies at the “center” of
the saddle-shaped region and is, like a
minimum, a stationary point,
The PES at that point is parallel to the
plane defined by the geometry parameter
axes: we can see that a marble placed
(precisely) there will balance.
Slide 21 of 101
22. Mathematically, minima and
saddle points differ in that
although both are stationary
points but:
1- a minimum is a minimum
in all directions,
2- a saddle point is a
maximum along the reaction
coordinate and a minimum
in all other directions.
Slide 22 of 101
23. Recalling that minima and maxima can be distinguished by their second
derivatives, we can write:
Slide 23 of 101
24. Coordinates for Potential Energy Surfaces
In the absence of fields, a molecule’s potential energy
doesn’t change if it is translated or rotated in space. Thus
the potential energy only depends on a molecule’s internal
coordinates.
There are 3N total coordinates for a molecule (x, y, z for
each atom), minus three translations and three rotations
which don’t matter (only two rotations for linear
molecules).
The internal coordinates: Stretch, Bend, Torsion
coordinates, or Symmetry-adapted(according to sym.
Elements) Linear Combinations, or Redundant
Coordinates, or Normal Modes Coordinates, etc.
[x,y]=meshgrid(linspace(-4,2,50),linspace(-2,4,50));
z=x.^2+y.^2+3*x.^2-3*y.^2-8;
z=3*x-x.^3-3*x.*y.^2;
surf(x,y,z)
[x,y]=meshgrid(linspace(-4,2,50),linspace(-2,4,50));
z=x.^3+y.^3+3*x.^2-3*y.^2-8;
surf(x,y,z)
[c,h]=contour(x,y,z,-14:4);
clabel(c,h)
grid on
xlabel('x-axis')
ylabel('y-axis')
title('The contour map for z=x^3+y^3+3x^2-3y^2-8.')
Slide 24 of 101
25. Characterizing Potential Energy Surfaces
The most interesting points on PES’s are
the stationary points, where the gradients
with respect to all internal coordinates are
zero.
1. Minima: correspond to stable or quasi-
stable species; i.e., reactants, products,
intermediates.
2. Transition states: saddle points which
are minima in all dimensions but one; a
maximum in that dimension.
3. Higher-order saddle points: a minimum
in all dimensions but n, where n > 1;
maximum in the other n dimensions. Slide 25 of 101
26. A transition state and A transition structure
A transition state is a thermodynamic concept, the species an ensemble
of which are in a kind of equilibrium with the reactants in Eyring’s
transition-state theory.
Since equilibrium constants are determined by free energy differences,
the transition structure, within the strict use of the term, is a free energy
maximum along the reaction coordinate (in so far as a single species can
be considered representative of the ensemble).
This species is also often also called an activated complex. A transition
structure, in strict usage, is the saddle point on a theoretically (Not
realistic) calculated PES. Slide 26 of 101
27. A transition state and A transition structure
Normally PES is drawn through a set of points each of which represents
the enthalpy of a molecular species at a certain geometry; recall that
free energy differs from enthalpy by temperature times entropy.
The transition structure is thus a saddle point on an enthalpy surface(then
this is the difference between T-State and T-Structure.
However, the energy of each of the calculated points does not normally
include the vibrational energy, and even at 0 K a molecule has such
energy, ZPE. Slide 27 of 101
28. The usual calculated PES is thus a hypothetical, physically unrealistic
surface in that it neglects vibrational energy, but it should qualitatively,
and even semiquantitatively, resemble the vibrationally-corrected one
since in considering relative enthalpies ZPEs at least roughly cancel.
A transition state and A transition structure
In accurate work ZPEs are calculated for stationary points and added to
the “frozen-nuclei” energy of the species at the bottom of the reaction
coordinate curve in an attempt to give improved relative energies which
represent enthalpy differences at 0 K (and thus, at this temperature where
entropy is zero, free energy differences also; Next Slide).
Slide 28 of 101
29. A transition state and A transition structure
It is also possible to calculate enthalpy and entropy differences,
and thus free energy differences, at, say, room temperature.
Many chemists do not routinely distinguish between the two
terms, and in this course the commoner term, transition state, is
used.
Unless indicated otherwise, it will mean a calculated geometry,
the saddle point on a hypothetical vibrational-energy-free PES.
Slide 29 of 101
32. The propane PES, provides examples of
a minimum, a transition state and a
hilltop – a second-order saddle point in
this case.
The propane PES as the two HCCC
dihedrals are varied (AM1 calculated).
Bond lengths and angles were not
optimized as the dihedrals were varied,
so this is not a relaxed PES; however,
changes in bond lengths and angles
from one propane conformation to
another are small, and the relaxed PES
should be very similar to this one Slide 32 of 101
33. Three stationary points:
The “doubly-eclipsed” conformation (a
in Figure) in which there is eclipsing as
viewed along the C1–C2 and the C3–C2
bonds (the dihedral angles are 0o viewed
along these bonds) is a second order
saddle point because single bonds do
not like to eclipse single bonds and
rotation about the C1–C2 and the C3–
C2 bonds will remove this eclipsing:
There are two possible directions along
the PES which lead, without a barrier, to
lower-energy regions, i.e. changing the
H–C1/C2–C3 dihedral and changing the
H–C3/C2–C1 dihedral. Slide 33 of 101
34. PES Scan
The geometry of propane depends on more than just two
dihedral angles, of course; there are several bond lengths
and bond angles and the potential energy will vary with
changes in all of them. In PES Scan we have to change all
of them simultaneously.
Slide 34 of 101
35. Is Geometry of a Molecules Meaningful with or without BOA?
Yes and No respectively.
Chemistry is essentially the study of the stationary points on
potential energy surfaces: in studying more or less stable
molecules we focus on minima, and in investigating chemical
reactions we study the passage of a molecule from a minimum
through a transition state to another minimum.
Slide 35 of 101
36. Is Geometry of a Molecules Meaningful with or without BOA? No and Yes
respectively.
There are four known forces in nature: 1-the gravitational force, 2- the
strong and 3- the weak nuclear forces, and 4- the electromagnetic
force.
Celestial mechanics studies the motion of stars and planets under the
influence of the gravitational force and nuclear physics studies the
behaviour of subatomic particles subject to the nuclear forces.
Slide 36 of 101
37. Is Geometry of a Molecules Meaningful with or without BOA? Yes
and No respectively.
Chemistry is concerned with aggregates of nuclei and electrons (with
molecules) held together by the electromagnetic force, and with the
shuffling of nuclei, followed by their obedient retinue of electrons,
around a potential energy surface under the influence of this force
(with chemical reactions).
The potential energy surface for a chemical reaction has just been
presented as a saddle-shaped region holding a transition state which
connects wells containing reactant(s) and products(s) (which species
we call the reactant and which the product is inconsequential here).Slide 37 of 101
39. The Born–Oppenheimer Approximation
A PES is a plot of the energy of a collection of nuclei and electrons against the
geometric coordinates of the nuclei.
Essentially a plot of molecular energy versus molecular geometry (or it may be
regarded as the mathematical equation that gives the energy as a function of the
nuclear coordinates).
The nature (minimum, saddle point or neither) of each point was discussed in terms
of the response of the energy (first and second derivatives) to changes in nuclear
coordinates.
But if a molecule is a collection of nuclei and electrons why plot energy versus
nuclear coordinates – why not against electron coordinates? In other words, why are
nuclear coordinates the parameters that define molecular geometry?
The answer to this question lies in the Born–Oppenheimer
approximation.
Slide 39 of 101
40. Born and Oppenheimer showed in 1927 that to a very good approximation the
nuclei in a molecule are stationary with respect to the electrons.
One consequence of this is that all (!) we have to do to calculate the energy of a
molecule is to solve the electronic Schrödinger equation and then add the electronic
energy to the internuclear repulsion (this latter quantity is trivial to calculate) to get
the total internal energy.
Mathematically, the approximation states that the Schrödinger equation for a
molecule may be separated into an electronic and a nuclear equation.
Slide 40 of 101
41. The nuclei see the electrons as a cloud of negative charge which binds them in
fixed relative positions and which defines the surface of the molecule.
Because of the rapid motion of the electrons compared to the nuclei the
“permanent” geometric parameters of the molecule are the nuclear coordinates.
The energy (and the other properties) of a molecule is a function of the electron
coordinates (E= Ψ(x, y, z of each electron), but depends only parametrically on
the nuclear coordinates, i.e. for each geometry 1, 2, . . . there is a particular
energy: E1= Ψ1(x, y, z. . .), E1= Ψ2(x, y, z. . .); cf. xn, which is a function of x but
depends only parametrically on the particular n. Slide 41 of 101
42. The nuclei in a molecule see a time-averaged electron cloud.
The nuclei vibrate about equilibrium points which define the molecular geometry;
as the nuclear Cartesian coordinates, or as bond lengths and angles r and a here) and
dihedrals, i.e. as internal coordinates.
The experimentally determined van der Waals surface encloses about 98% of the
electron density of a molecule Slide 42 of 101
43. Geometry Optimization
The characterization (the “location” or “locating”) of a stationary
point(minimum, a transition state or a higher order saddle point) on a PES,
that is, demonstrating that the point in question exists and calculating its
geometry and energy, is a geometry optimization.
Locating a minimum is often called an energy minimization or
simply a minimization, and locating a transition state is often
referred to specifically as a transition state optimization.
Slide 43 of 101
44. Geometry optimizations are done by starting with an input structure that is
believed to resemble (the closer the better) the desired stationary point
and submitting this plausible structure to a computer algorithm that
systematically changes the geometry until it has found a stationary point.
The curvature of the PES at the stationary point, i.e. the second
derivatives of energy with respect to the geometric parameters may
then be determined to characterize the structure as a minimum or as
some kind of saddle point.
Geometry Optimization
Slide 44 of 101
45. Acetone ionized then neutralization of the
radical cation, then were frozen in an inert
matrix and studied by IR spectroscopy.
The spectrum of the mixture suggested the
presence of the enol isomer of propanone, 1-
propen-2-ol:
Slide 45 of 101
46. To confirm (or refute) this
the IR spectrum of the enol
might be calculated. But
which conformer should one
choose for the calculation?
Rotation about the C–O and
C–C bonds creates six
plausible stationary points
and a PES scan indicated
that there are indeed 6 such
species:
The arrows represent one-step (rotation about one bond)
conversion of one species into another Slide 46 of 101
47. The plausible stationary points
on the propenol potential energy
surface. From PES scan:
1 is the global minimum
4 is a relative minimum,
2 and 3 are transition states
5 and 6 are hilltops.
AM1 gave relative energies:
1, 2, 3 and 4 of 0, 0.6, 14 and 6.5
kJ mol-1,
(5 and 6 were not optimized).
Left part is the Inset of the
right part to show details of
the 1 and 2 as GM and TS Slide 47 of 101
48. Slide 48 of 101
Examination of this PES shows that the global minimum is
structure 1 and that there is a relative minimum
corresponding to structure 4.
Geometry optimization starting from an input structure
resembling 1 gave a minimum corresponding to 1,
while optimization starting from a structure
resembling 4 gave another, higher energy minimum,
resembling 4.
Transition-state optimizations starting from
appropriate structures yielded the transition states 2
and 3. These stationary points were all characterized as
minima or transition states by second-derivative
calculations (the species 5 and 6 were not located).
The calculated IR spectrum of 1 (using the ab initio HF/6–
31G* method was in excellent agreement with the observed
spectrum of the putative propenol.
49. This illustrates a general principle: the optimized structure one
obtains is that closest in geometry on the PES to the input structure.
To be sure we have found a global minimum
we must search a potential energy surface
There are algorithms that will do
this and locate the various minima:
Geometry optimization to
a minimum gives the
minimum closest to the
input structure.
The input structure A’ is
moved toward the
minimum A, and B’ toward
B.
To locate a transition
state a special algorithm
is usually used: this moves
the initial structure A’
toward the transition state
TS.
Optimization to each of
the stationary points
would probably actually
require several steps
Slide 49 of 101
50. Optimization to each of
the stationary points
would probably actually
require several steps:
An efficient
optimization
algorithm knows:
1- In Which
Direction to Move
2- How far to step,
in an attempt to
reach the optimized
structure
Slide 50 of 101
51. On the one-
dimensional PES of a
diatomic molecule:
geometry
optimization requires
a simple algorithm
On any other surface,
efficient geometry
optimization requires
a sophisticated
algorithm
Slide 51 of 101
52. Slide 52 of 101
Geometry
Optimization
Algorithm
1- It is not possible, in
general, to go from
the input structure to
the proximate
minimum in just one
step.
2- Modern geometry
optimization
algorithms commonly
reach the minimum
within about ten
steps, given a
reasonable input
geometry.
3- The most widely-
used algorithms for
geometry
optimization use the
first and second
derivatives of the
energy with respect to
the geometric
parameters. To
53. • The input structure at point Pi(Ei, qi)
• The proximate minimum at the point Po(Eo, qo).Example
Slide 53 of 101
54. 1- Before the optimization has been carried out the values of Eo and qo are of
course unknown.
2- If we assume that near a minimum the potential energy is a quadratic function
of q, which is a fairly good approximation, then:
Initial qi is a vector and of the geometry of the
molecules at starting point and qo is new geometry
of the molecule. This is Newton-Raphson Slide 54 of 101
55. Equation shows that if we
know:
(dE/dq)i, the slope or
gradient of the PES at the
point of the initial
structure.
(d2E/dq2), the curvature of
the PES (which for a
quadratic curve E(q) is
independent of q).
qi, the initial geometry, we
can calculate qo, the
optimized geometry:
Very Useful
Hint:
The second derivative of potential energy with respect to geometric displacement
is the force constant for motion along that geometric coordinate; this is an
important concept in connection with calculating vibrational spectra.
Slide 55 of 101
56. Slide 56 of 101
In the illustration of an optimization algorithm using a diatomic
molecule, Equation:
Referred to the calculation of first
and second derivatives with
respect to bond length, which
latter is an internal coordinate
(inside the molecule).
But optimizations are actually
commonly done using Cartesian
coordinates x, y, z. Amazing
Point!
57. Slide 57 of 101
Optimization HOF in
a Cartesian
coordinate system.
Each of the three
atoms has an x, y and
z coordinate.
Nine geometric
parameters, q1, q2, .
. . , q9.
The PES would be a
nine-dimensional
hypersurface on a
10D graph.
We need the first
and second
derivatives of E with
respect to each of
the nine q’s,
Derivatives are
manipulated as
matrices.
58. The first-derivative matrix, the gradient
matrix, for the input structure can be
written as a column matrix:
The second-derivative
matrix, the force constant
matrix, is:
The force constant matrix
is Called the Hessian.
Slide 58 of 101
59. More About Hessian
Matrix:
The Hessian is
particularly important:
For geometry
optimization, For the
characterization of
stationary points
as:
Minima
Transition
states
Hilltops
For the
calculation of
IR spectra.
In the
Hessian:
∂2E/∂q1q2 =
∂2E/∂q2q1, as is true
for:
All well-
behaved
functions,
But this systematic
notation is preferable
The first subscript refers to
the row and the second to the
column.
Slide 59 of 101
60. The geometry coordinate matrices for the
initial and optimized structures are:
Slide 60 of 101
For n atoms we
have 3n
Cartesians;
qo, qi and gi
are 3n×1
column matrices
H is a 3n×3n
square matrix
Hint:
Multiplication by the
H-1 rather than
division by H is used
because matrix
division is not defined.
61. For an efficient geometry
optimization we need:
An initial structure
(for qi)
From a model-
building program
followed by
molecular
mechanics
Initial gradients (for gi)
Calculated
analytically (from the
derivatives of the
molecular
orbitals and the
derivatives of certain
integrals
Second derivatives (for H).
An approximate
initial Hessian is
often calculated
from molecular
mechanics
Slide 61 of 101
62. Optimization is not a Single Step Process. Why?
Since the PES is not really
exactly quadratic
The first step does not take us all the way
to the optimized geometry, qo.
Rather, we arrive at q1, the first
calculated geometry.
Using q1 a g1 and a new H1 are calculated (g1calculated
analytically and H1updated using the changes in g1).
Using q1 g1 and H1 matrices a new
approximate geometry matrix q2 is calculated.
The process is continued until the geometry
and/or the gradients (or with some
programs possibly the energy) have ceased
to change appreciably.
Slide 62 of 101
63. Stationary Points and Normal-Mode Vibrations
Once a stationary point has been found by geometry optimization, it is
usually desirable to check whether it is a minimum, a transition state, or a
hilltop.
This is done by calculating the vibrational frequencies. Such a calculation
involves finding the normal-mode frequencies; these are the simplest
vibrations of the molecule, which, in combination, can be considered to
result in the actual, complex vibrations that a real molecule undergoes.
Slide 63 of 101
64. Consider a diatomic molecule A–B; the normal-mode frequency (there is
only one for a diatomic, of course) is given by:
The symbols have their ordinary meanings.
The force constant k of a vibrational mode is a measure of the “stiffness”
of the molecule toward that vibrational mode – the harder it is to stretch
or bend the molecule in the manner of that mode, the bigger is that force
constant.
Frequency of a vibrational mode is related to the force constant for the
mode:
Suggests that it might be possible to calculate the normal-mode
frequencies of a molecule, that is, the directions and frequencies of the
atomic motions, from its force constant matrix (its Hessian).
Slide 64 of 101
65. This is indeed possible: matrix diagonalization of the Hessian gives the
directional characteristics (eigenvectors, which way the atoms are
moving), and the force constants themselves(eigenvalues), for the
vibrations.
Matrix diagonalization : MATLAB Command:
A=[1 2 3; 3 2 1; 2 1 3] [P lambda]=eig(A); D=inv(P)*A*P
Square matrix A decomposed to 3 square matrices:
D=
6 0 0
0 −1.4142 0
0 0 1.4142
P, D and P-1:
A=PDP-1
D is a diagonal matrix as with k in following eq all its off-diagonal
elements are zero. P is eigenvectors and P-1 is inverse of P. Slide 65 of 101
66. When matrix algebra is applied to
physical problems, the diagonal row
elements of D are the magnitudes of
some physical quantity, and each
column of P is a set of coordinates
which give a direction associated
with that physical quantity.
* These ideas are made more
concrete in the discussion
accompanying Eq. which shows the
diagonalization of the Hessian
matrix for a triatomic molecule, e.g.
H2O:
Slide 66 of 101
67. Equation is of the form A = PDP-1.
The 9 ×9 Hessian for a triatomic molecule:
Is decomposed by diagonalization into a P matrix:
-whose columns are “direction vectors” for the vibrations
-whose force constants are given by the k matrix.
Actually, columns 1, 2 and 3 of P and the corresponding k1, k2 and k3 of
k refer to translational motion of the molecule; these three “force
constants” are nearly zero.
Columns 4, 5 and 6 of P and the corresponding k4, k5 and k6 of k refer to
rotational motion about the three principal axes of rotation and are also
nearly zero.
Columns 7, 8 and 9 of P and corresponding k7, k8 and k9 of k(diagonal
matrix) are the direction vectors and force constants respectively. Slide 67 of 101
68. For the normal-mode vibrations: k7, k8 and k9 refer to vibrational modes
1, 2 and 3, while the 7th, 8th, and 9th columns of P are composed of the
x, y and z components of vectors for motion of the three atoms in
mode 1 (column 7), mode 2 (column 8), and mode 3 (column 9).
Slide 68 of 101
69. The Basic Principles of Molecular Mechanics
Developing a Forcefield
k=1500
r0=1.1
r=.7:0.01:1.5
E=(k/2).*(r-r0).^2
Plot(E)
Slide 69 of 101
71. Forcefield and are
energy contributions
from:
Bond
stretching
Angle
bending
Torsional
motion
(rotation)
around single
bonds
Interactions
between atoms or
groups which are
nonbonded (not
directly bonded
together).
The sums are
over all the
bonds, all the
angles defined
by three atoms
A–B–C,
All the
dihedral
angles
defined
by four
atoms
A–B–C–
D
All pairs of
significant
nonbonded
interactions.
The mathematical form of
these terms and the parameters
in them constitute a particular
forcefield.
Slide 71 of 101
72. The Bond Stretching Term:
The increase in the energy of a spring when it is stretched is
approximately proportional to the square of the extension:
Changes in bond lengths or in bond
angles result in changes in the energy of
a molecule. Such changes are handled
by the Estretch and Ebend terms in the
molecular mechanics forcefield.
kstretch = the proportionality constant the bigger kstretch, the
stiffer the bond/spring – the more it resists being stretched.
l = length of the bond when stretched.
leq = equilibrium length of the bond, its “natural” length.
Slide 72 of 101
73. If we take the energy corresponding to the equilibrium length leq as the
zero of energy, we can replace DEstretch by Estretch:
Slide 73 of 101
74. The Angle Bending Term:
kbend = a proportionality constant
a = size of the angle when distorted
aeq = equilibrium size of the angle, its “natural” value.
Slide 74 of 101
75. The Torsional Term:
Dihedral angles (torsional angles) affect molecular geometries and energies. The
energy is a periodic function (cosine or combination of cosines) of dihedral angle.
Slide 75 of 101
76. The Nonbonded Interactions Term:
This represents the change in potential energy with distance apart of
atoms A and B that are not directly bonded:
1- these atoms, separated by at least two atoms (A–X–Y–B) or even
2- in different molecules, are said to be nonbonded (with respect to
each other).
Slide 76 of 101
77. The Nonbonded Interactions Term:
Note:
A-B case is accounted for by the bond stretching term Estretch,
A–X–B term by the angle bending term Ebend,
nonbonded term Enonbond is, for the A–X–Y–B case, superimposed upon
the torsional term Etorsion:
we can think of Etorsion as representing some factor inherent to resistance
to rotation about a (usually single) bond X–Y, while for certain atoms
attached to X and Y there may also be nonbonded interactions.
Slide 77 of 101
78. The potential energy curve for two
nonpolar nonbonded atoms has the
general form:
Variation of the energy of a molecule with
separation of nonbonded atoms or groups.
Atoms/ groups A and B may be in the same
molecule (as indicated here) or the interaction
may be intermolecular.
The minimum energy occurs at van der Waals
contact. For small nonpolar atoms or groups the
minimum energy point represents a drop of a
few kJ mol-1 (Emin=-1.2 kJ mol-1 for CH4/CH4),
but short distances can make nonbonded
interactions destabilize a molecule by many kJ
mol-1 Slide 78 of 101
79. A simple way to approximate this is by the so-called Lennard-Jones 12–6
potential:
r = the distance between the centers of the nonbonded atoms or groups.
The function reproduces
1-The small attractive dip in the curve (represented by the negative term)
as the atoms or groups approach one another, then
2-The very steep rise in potential energy (represented by the positive,
repulsive term raised to a large power) as they are pushed together closer
than their van der Waals radii. Slide 79 of 101
80. Setting dE/dr = 0:
the energy minimum in the curve the corresponding value of:
r is rmin = 21/6s and s=2-1/6rmin
Slide 80 of 101
81. If we assume that this minimum corresponds to van der Waals contact of
the nonbonded groups, then:
rmin = (RA + RB),
the sum of the van der Waals radii of the groups A and B.
So:
21/6s = RA + RB
and so s =2-1/6(RA + RB)= 0.89 (RA + RB)
Thus s can be calculated from rmin or estimated from the van der Waals radii.
Slide 81 of 101
82. Setting E = 0, we find that for this point on the
curve r = s:
s= r(E=0)
If we set r = rmin=21/6 s we find:
i.e.
knb = -4E(r=rmin) So knb can be calculated from the depth of
the energy minimum. Slide 82 of 101
83. Parameterizing a Forcefield
We can now consider putting actual numbers, kstretch, leq, kbend, etc., into
corresponding Eqs. to give expressions that we can actually use.
The process of finding these numbers is called parameterizing (or
parametrizing) the forcefield.
Training Set
The set of molecules used for parameterization, perhaps 100 for a good
forcefield, is called the training set. Slide 83 of 101
84. Parameterizing the Bond Stretching Term
A forcefield can be parameterized by reference to:
1- experiment (empirical parameterization) or by
2- getting the numbers from high-level ab initio or density functional
calculations, or by
3- a combination of both approaches.
For the bond stretching term of Eq. we need kstretch and leq.
Experimentally, kstretch could be obtained from IR spectra, as the
stretching frequency of a bond depends on the force constant.
leq could be derived from X-ray diffraction, electron diffraction, or
microwave spectroscopy Slide 84 of 101
85. Lets find kstretch for the C/C bond of ethane by ab initio calculations.
Normally high-level ab initio calculations would be used to parameterize
a forcefield.
But for illustrative purposes we can use the low-level but fast STO-3G
method.
Eq shows that a plot of Estretch against (l–leq)2 should be linear with a
slope of kstretch.
Slide 85 of 101
86. Change in energy as the C–C bond in
CH3–CH3 is stretched away from its
equilibrium length. The calculations
are ab initio (STO-3G). Bond lengths
are in Å
Energy vs. the square of the
extension of the C–C bond in
CH3–CH3. The data in the left
Table were used Slide 86 of 101
87. The equilibrium bond length has been taken as the STO-3G length:
Similarly, the CH bond of methane was stretched using ab initio STO-3G
calculations; the results are:
Slide 87 of 101
88. Parameterizing the Angle Bending Term
From Eq., a plot of Ebend against (a–aeq)2 should be linear with a slope of
kbend.
From STO-3G calculations on bending the H–C–C angle in ethane we
get:
Calculations on staggered butane gave for the C–C–C angle
Slide 88 of 101
89. Parameterizing the Torsional Term
For the ethane case, the equation for energy
as a function of dihedral angle can be
deduced fairly simply by adjusting the
basic equation:
E=cos q
to give:
E= ½ Emax [1 + cos3(q +60)]
Slide 89 of 101
90. Variation of the energy of butane with
dihedral angle. The curve can be
represented by a sum of cosine functions
For butane, using Eq. and
experimenting with a curve-fitting
program shows that a reasonably
accurate torsional potential energy
function can be created with five
parameters, k0 and k1–k4: See the
next slide(a kind of FT to find
cosine basis functions).
Slide 90 of 101
92. Parameterizing the Nonbonded Interactions Term
To parameterize Eq. we might perform ab initio calculations in which
the separation of two atoms or groups in different molecules (to avoid
the complication of concomitant changes in bond lengths and angles)
is varied, and fit Eq. to the energy vs. distance results.
For nonpolar groups this would require quite high-level calculations, as
van der Waals or dispersion forces are involved. We shall approximate
the nonbonded interactions of methyl groups by the interactions of
methane molecules, using experimental values of knb and s, derived
from studies of the viscosity or the compressibility of methane:
Slide 92 of 101
93. Slide 93 of 101
Summary of the Parameterization of the Forcefield Terms The four terms
of Eq. were parameterized to give:
94. A Calculation Using Our Forcefield
Let us apply the naive forcefield developed here to comparing the energies of two
2,2,3,3-tetramethylbutane ((CH3)3CC(CH3)3, i.e. t-Bu-Bu-t) geometries.
We compare the energy of structure 1 with all the bond lengths and angles at our
“natural” or standard values (i.e. at the STO-3G values we took as the equilibrium
bond lengths and angles) with that of structure 2, where the central C-C bond has
been stretched from 1.538Å to 1.600Å , but all other bond lengths, as well as the
bond angles and dihedral angles, are unchanged Left Figure shows the nonbonded
distances we need, which would
be calculated by the program
from bond lengths, angles and
dihedrals. Using Eq.:
Slide 94 of 101
96. Actually, nonbonding interactions are already included in the torsional
term (as gauche–butane interactions); we might have used an ethane-type
torsional function and accounted for CH3/CH3 interactions entirely with
nonbonded terms. However, in comparing calculated relative energies the
torsional term will cancel out.
Slide 96 of 101
98. The stretching and bending terms for structure 2 are the same as for
structure 1, except for the contribution of the central C-C bond;
strictly speaking, the torsional term should be smaller, since the opposing
C(CH3) groups have been moved apart.
Slide 98 of 101
99. This crude method predicts that stretching the central C/C bond of
2,2,3,3-tetramethylbutane from the approximately normal sp3–C–sp3–C
length of 1.583 Å (structure 1) to the quite “unnatural” length of 1.600 Å
(structure 2) will lower the potential energy by 67 kJ mol1, and indicates
that the drop in energy is due very largely to the relief of nonbonded
interactions.
Slide 99 of 101