1) A model was developed to understand the sharp transition between copper oxide phases observed during CVD. The model considers oxygen transport and the single degree of freedom in the Cu2O-O2-CuO system.
2) 1D and 2D models were used to predict spatial oxygen profiles and examine the effects of temperature, oxygen flow, and surface/gas phase reaction rates on the transition location.
3) Comparisons to experimental film measurements suggest surface reactions play a primary role in the transition, though gas phase reactions may also contribute. Further work aims to estimate adsorption rates and refine surface/gas phase reaction mechanisms.
High-throughput Quantum Chemistry and Virtual Screening for Lithium Ion Batte...BIOVIA
The use of virtual structure libraries for computational screening to identify lead systems for further investigation has become a standard approach in drug discovery. Transferring this paradigm to challenges in material science is a recent possibility due to advances in the speed of computational resources and the efficiency and stability of materials modeling packages. This makes it possible for individual calculation steps to be executed in sequence comprising a high-throughput quantum chemistry workflow, in which material systems of varying structure and composition are analyzed in an automated fashion with the results collected in a growing data record. This record can then be sorted and mined to identify lead candidates and establish critical structure-property limits within a given chemical design space. To-date, only a small number of studies have been reported in which quantum chemical calculations are used in a high-throughput fashion to compute properties and screen for optimal materials solutions. However, with time, high-throughput computational screening will become central to advanced materials research.
In this presentation, the use of high-throughput quantum chemistry to analyze and screen a materials structure library is demonstrated for Li-Ion battery additives based on ethylene carbonate (EC).
Presentation at the 42nd HPC User Forum 6-8 Sept 2011. Why do commercial customers need to do simulation, why HPC is important. Presents examples in protein-ligand binding, fuel cells, batteries, sensors
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Poster presentation of the scope, technological targets and innovative aspects of NHPON project, supported by The Greek
General Secretariat for Research and Technology,
Ministry of Education, through the programme EPANII/
ESPA: “SYNERGASIA”, project 09-SYN-42-630
High-throughput Quantum Chemistry and Virtual Screening for Lithium Ion Batte...BIOVIA
The use of virtual structure libraries for computational screening to identify lead systems for further investigation has become a standard approach in drug discovery. Transferring this paradigm to challenges in material science is a recent possibility due to advances in the speed of computational resources and the efficiency and stability of materials modeling packages. This makes it possible for individual calculation steps to be executed in sequence comprising a high-throughput quantum chemistry workflow, in which material systems of varying structure and composition are analyzed in an automated fashion with the results collected in a growing data record. This record can then be sorted and mined to identify lead candidates and establish critical structure-property limits within a given chemical design space. To-date, only a small number of studies have been reported in which quantum chemical calculations are used in a high-throughput fashion to compute properties and screen for optimal materials solutions. However, with time, high-throughput computational screening will become central to advanced materials research.
In this presentation, the use of high-throughput quantum chemistry to analyze and screen a materials structure library is demonstrated for Li-Ion battery additives based on ethylene carbonate (EC).
Presentation at the 42nd HPC User Forum 6-8 Sept 2011. Why do commercial customers need to do simulation, why HPC is important. Presents examples in protein-ligand binding, fuel cells, batteries, sensors
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Poster presentation of the scope, technological targets and innovative aspects of NHPON project, supported by The Greek
General Secretariat for Research and Technology,
Ministry of Education, through the programme EPANII/
ESPA: “SYNERGASIA”, project 09-SYN-42-630
Review on recent progress in nitrogen doped graphene synthesis, characterizat...materials87
Nitrogen doping has been an effective way to
tailor the properties of graphene and render its potential use
for various applications. Three common bonding configurations
are normally obtained when doping nitrogen into the
graphene: pyridinic N, pyrrolic N, and graphitic N. This paper
reviews nitrogen-doped graphene, including various synthesis
methods to introduce N doping and various characterization
techniques for the examination of various N bonding
configurations. Potential applications of N-graphene are also
reviewed on the basis of experimental and theoretical studies
Water-splitting photoelectrodes consisting of heterojunctions of carbon nitri...Pawan Kumar
Quinary and senary non-stoichiometric double perovskites such as Ba2Ca0.66Nb1.34-xFexO6-δ (BCNF) have been utilized for gas sensing, solid oxide fuel cells and thermochemical CO2 reduction. Herein, we examined their potential as narrow bandgap semiconductors for use in solar energy harvesting. A cobalt co-doped BCNF, Ba2Ca0.66Nb0.68Fe0.33Co0.33O6-δ (BCNFCo), exhibited an optical absorption edge at ~ 800 nm, p-type conduction and a distinct photoresponse upto 640 nm while demonstrating high thermochemical stability. A nanocomposite of BCNFCo and g-C3N4 (CN) was prepared via a facile solvent assisted exfoliation/blending approach using dichlorobenzene and glycerol at a moderate temperature. The exfoliation of g-C3N4 followed by wrapping on perovskite established an effective heterojunction between the materials for charge separation. The conjugated 2D sheets of CN enabled better charge migration resulting in increased photoelectrochemical performance. A blend composed of 40 wt% perovskite and CN performed optimally, whilst achieving a photocurrent density as high as 1.5 mA cm-2 for sunlight-driven water-splitting with a Faradaic efficiency as high as ~ 88%.
Engineering Research Publication
Best International Journals, High Impact Journals,
International Journal of Engineering & Technical Research
ISSN : 2321-0869 (O) 2454-4698 (P)
www.erpublication.org
Review on recent progress in nitrogen doped graphene synthesis, characterizat...materials87
Nitrogen doping has been an effective way to
tailor the properties of graphene and render its potential use
for various applications. Three common bonding configurations
are normally obtained when doping nitrogen into the
graphene: pyridinic N, pyrrolic N, and graphitic N. This paper
reviews nitrogen-doped graphene, including various synthesis
methods to introduce N doping and various characterization
techniques for the examination of various N bonding
configurations. Potential applications of N-graphene are also
reviewed on the basis of experimental and theoretical studies
Water-splitting photoelectrodes consisting of heterojunctions of carbon nitri...Pawan Kumar
Quinary and senary non-stoichiometric double perovskites such as Ba2Ca0.66Nb1.34-xFexO6-δ (BCNF) have been utilized for gas sensing, solid oxide fuel cells and thermochemical CO2 reduction. Herein, we examined their potential as narrow bandgap semiconductors for use in solar energy harvesting. A cobalt co-doped BCNF, Ba2Ca0.66Nb0.68Fe0.33Co0.33O6-δ (BCNFCo), exhibited an optical absorption edge at ~ 800 nm, p-type conduction and a distinct photoresponse upto 640 nm while demonstrating high thermochemical stability. A nanocomposite of BCNFCo and g-C3N4 (CN) was prepared via a facile solvent assisted exfoliation/blending approach using dichlorobenzene and glycerol at a moderate temperature. The exfoliation of g-C3N4 followed by wrapping on perovskite established an effective heterojunction between the materials for charge separation. The conjugated 2D sheets of CN enabled better charge migration resulting in increased photoelectrochemical performance. A blend composed of 40 wt% perovskite and CN performed optimally, whilst achieving a photocurrent density as high as 1.5 mA cm-2 for sunlight-driven water-splitting with a Faradaic efficiency as high as ~ 88%.
Engineering Research Publication
Best International Journals, High Impact Journals,
International Journal of Engineering & Technical Research
ISSN : 2321-0869 (O) 2454-4698 (P)
www.erpublication.org
Dr. Adam Gilmore and Dr. Jeff Bodycomb from HORIBA Scientific discuss using particle size and photoluminescence measurements to characterize single-walled carbon nanotubes.
In recent years, there have been great interest in alkali-O2 batteries with extremely high specific energies. Li-O2 batteries offer the greatest theoretical specific energy, but currently suffer from large charging overpotentials and low power densities. Na-O2 offers a somewhat lower theoretical specific energy compared to Li-O2, but still a substantial improvement over today’s lithium-ion batteries. In this talk, we will demonstrate how first principles calculations can provide crucial insight into the workings of alkali-O2 batteries. We will elucidate a facile mechanism for recharging Li2O¬¬2 that is accessible at relatively low overpotentials of ~0.3-0.4V and is likely to be kinetically favored over Li2O2 decomposition. We will also demonstrate that sodium superoxide (NaO2) is predicted to be considerably more stable than sodium peroxide (Na2O2) at the nanoscale. Using first principles calculations, we derive the specific electrochemical conditions to nucleate and retain NaO2 and comment on the importance of considering the nanophase thermodynamics when optimizing an electrochemical system.
Asymmetric Multipole Plasmon-Mediated Catalysis Shifts the Product Selectivit...Pawan Kumar
Cu/TiO2 is a well-known photocatalyst for the photocatalytic transformation of CO2 into methane. The formation of C2+ products such as ethane and ethanol rather than methane is more interesting due to their higher energy density and economic value, but the formation of C–C bonds is currently a major challenge in CO2 photoreduction. In this context, we report the dominant formation of a C2 product, namely, ethane, from the gas-phase photoreduction of CO2 using TiO2 nanotube arrays (TNTAs) decorated with large-sized (80–200 nm) Ag and Cu nanoparticles without the use of a sacrificial agent or hole scavenger. Isotope-labeled mass spectrometry was used to verify the origin and identity of the reaction products. Under 2 h AM1.5G 1-sun illumination, the total rate of hydrocarbon production (methane + ethane) was highest for AgCu-TNTA with a total CxH2x+2 rate of 23.88 μmol g–1 h–1. Under identical conditions, the CxH2x+2 production rates for Ag-TNTA and Cu-TNTA were 6.54 and 1.39 μmol g–1 h–1, respectively. The ethane selectivity was the highest for AgCu-TNTA with 60.7%, while the ethane selectivity was found to be 15.9 and 10% for the Ag-TNTA and Cu-TNTA, respectively. Adjacent adsorption sites in our photocatalyst develop an asymmetric charge distribution due to quadrupole resonances in large metal nanoparticles and multipole resonances in Ag–Cu heterodimers. Such an asymmetric charge distribution decreases adsorbate–adsorbate repulsion and facilitates C–C coupling of reaction intermediates, which otherwise occurs poorly in TNTAs decorated with small metal nanoparticles.
The earliest voltammetric technique
Heyrovsky invented the original polarographic method in 1922, conventional direct current polarography (DCP).
It employs a dropping mercury electrode (DME) to continuously renew the electrode surface.
Diffusion is the mechanism of mass transport.
When an external potential is applied to a cell
containing a reducing substance such as CdCl2,
The following reaction will occur:
Cd2+ + 2e + Hg = Cd(Hg)
The technique depends on increasing the applied
voltage at a steady rate and simultaneously
record photographically the current-voltage
curve (polarogram)
The apparatus used is called a polarograph .
When an external potential is applied to a cell
containing a reducing substance such as CdCl2,
The following reaction will occur:
Cd2+ + 2e + Hg = Cd(Hg)
The technique depends on increasing the applied
voltage at a steady rate and simultaneously
record photographically the current-voltage
curve (polarogram)
The apparatus used is called a polarograph .
Capillary tube about 10-15cm
Int. diameter of 0.05mm
A vertical distance being maintained betwwen DME and the solution
Drop time of 1-5 seconds
Drop diameter 0.5mm
The supporting electrolyte
is a solution of (KNO3, NaCl, Na3PO4) in which the sample (which must be electroactive) is dissolved.
Function of the supporting electrolyte
It raises the conductivity of the solution.
It carries the bulk of the current so prevent the
migration of electroactive materials to working
electrode.
It may control pH
It may associate with the electroactive solute as
in the complexing of the metal ions by ligands.
Performance of carbon nanofiber supported pd–ni catalysts for electro oxidati...suresh899
Carbon nanofibers (CNF) supported Pd–Ni nanoparticles have been prepared by chemical reduction
with NaBH4 as a reducing agent. The Pd–Ni/CNF catalysts were characterized by X-ray diffraction
(XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and electrochemical
voltammetry analysis. TEM showed that the Pd–Ni particles were quite uniformly distributed on the
surface of the carbon nanofiber with an average particle size of 4.0 nm. The electro-catalytic activity of
the Pd–Ni/CNF for oxidation of ethanol was examined by cyclic voltammetry (CV). The onset potential
was 200mV lower and the peak current density four times higher for ethanol oxidation for Pd–Ni/CNF
compared to that for Pd/C. The effect of an increase in temperature from 20 to 60 ◦C had a great effect on
increasing the ethanol oxidation activity.
Performance of carbon nanofiber supported pd–ni catalysts for electro oxidati...sunilove
Carbon nanofibers (CNF) supported Pd–Ni nanoparticles have been prepared by chemical reduction
with NaBH4 as a reducing agent. The Pd–Ni/CNF catalysts were characterized by X-ray diffraction
(XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and electrochemical
voltammetry analysis. TEM showed that the Pd–Ni particles were quite uniformly distributed on the
surface of the carbon nanofiber with an average particle size of 4.0 nm. The electro-catalytic activity of
the Pd–Ni/CNF for oxidation of ethanol was examined by cyclic voltammetry (CV). The onset potential
was 200mV lower and the peak current density four times higher for ethanol oxidation for Pd–Ni/CNF
compared to that for Pd/C. The effect of an increase in temperature from 20 to 60 ◦C had a great effect on
increasing the ethanol oxidation activity.
Maiyalagan,Performance of carbon nanofiber supported pd ni catalysts for elec...kutty79
Carbon nanofibers (CNF) supported Pd–Ni nanoparticles have been prepared by chemical reduction
with NaBH4 as a reducing agent. The Pd–Ni/CNF catalysts were characterized by X-ray diffraction
(XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM) and electrochemical
voltammetry analysis. TEM showed that the Pd–Ni particles were quite uniformly distributed on the
surface of the carbon nanofiber with an average particle size of 4.0 nm. The electro-catalytic activity of
the Pd–Ni/CNF for oxidation of ethanol was examined by cyclic voltammetry (CV). The onset potential
was 200mV lower and the peak current density four times higher for ethanol oxidation for Pd–Ni/CNF
compared to that for Pd/C. The effect of an increase in temperature from 20 to 60 ◦C had a great effect on
increasing the ethanol oxidation activity
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Free Complete Python - A step towards Data Science
AIChE646d
1. Introduction Methodology Results Conclusion
Modeling Spatial Variations In Thin-Film
Processing of Copper Oxide Films for Solar Energy
Applications and Hydrogen Production
David Arana-Chavez and Raymond A. Adomaitis
Department of Chemical & Biomolecular Engineering
Institute for Systems Research
University of Maryland
January 5, 2012
Support: NSF CBET-0828410
2. Introduction Methodology Results Conclusion
1 Introduction
Film growth by chemical vapor deposition
The sharp transition
2 Methodology
Estimating the cuprous oxide to cupric oxide ratio
Design of experiments - temperature and oxygen flow
3 Results
Oxygen partial pressure profiles
Limiting cases: gas phase reaction vs surface deposition
Comparison with experiments
4 Conclusion
Summary
3. Introduction Methodology Results Conclusion
Solar photoelectrochemical H2 production from water
Hydrogen
O2 H2
Tremendous interest and hv
research focused on
counter electrode (anode)
transparent conductor
2e- + 2H2O 2OH- + H2 e- h+
hydrogen production at
p-type semicond
photo-cathode
this meeting (ICE 2011) OH-
Substantial discussion of
2OH- H2O + 1/2 O2 + 2e-
mass production,
manufacturability issues e-
PEC
Goal: direct solar conversion of water to H2
PEC system components: a semiconductor (metal oxide) in
contact with an electrolyte inside an electrochemical cell
4. 0.5
Introduction Methodology Results Conclusion
dark
light
Copper oxide
current (mA/cm2)
2
0
PEC (p-type) semiconductors
we investigate: Cu2 O, CuO
Precursors available for a −0.5
−1 −0.5 0 0.5 1
relatively benign CVD process bias (V)
Measured band gap: 2.06 eV 11 NaOH
0.5
for Cu2 O, 1.8 eV for CuO dark
light
CVD films are stable in high pH
current (mA/cm2)
2
electrolytes, physically robust
0
Photoactivity has been
established for both CVD films
by collaborators
Cu2 O is a promising catalyst for −0.5
−1 −0.5 0 0.5 1
various reactions as well as for bias (V)
arsenic removal from Cu2 O sample
contaminated water
5. Introduction Methodology Results Conclusion
Copper oxide CVD reactions/reactor
2CuI(g) + 1/2 O2 (g)
→ Cu2 O(s) + I2 (g) O2
Ar
2CuI(g) + O2 (g)
CuI Substrate
→ 2CuO(s) + I2 (g)
Tubular CVD reactor
elements: gas flow
controllers (left), the
process tube and furnace
(center), and gas
scrubbing system (right).
6. Introduction Methodology Results Conclusion
Initial experimental results
Experimental conditions: 0.1g CuI; total P = 1atm; T = 775o C ;
Ar flow O2 flow; dep time = 5min; quartz substrate.
(Red) Cu2 O at substrate
leading edge and O2 feed
tube; decrease in (black) CuO
film thickness in the direction
of gas flow
7. Introduction Methodology Results Conclusion
Dependence on total O2 flow
Modeling motivation:
Understand the unique CVD behavior exhibited (e.g.,
unusually sharp and stable composition transitions);
Control the deposition behavior, including film thickness,
composition, and morphology;
Assess potential effects of substrate and previous deposition
layers.
8. Introduction Methodology Results Conclusion
Why is the Cu2 O/CuO transition so sharp?
Consider a system of O2 (g) and D.o.F . = c − π + 2 − r
crystalline CuO(s) and Cu2 O(s): = 3−3+2−1=1
1 Both phases can only coexist at
Cu2 O(s) + O2 (g ) ↔ CuO(s)
2
eq 2
PO2 = Po /Keq
= 24Pa at 750o C
24 Pa
PO2 < < PO2
The white bar corresponds to 1 mm
9. Introduction Methodology Results Conclusion
Cuprous to cupric oxide ratio from substrate images
Photos were converted to RGB images in
MATLAB.
Two major color modes detected with
separation around gray scale 70.
This representation allows for calculation of
the percentage of the area of the films
covered by Cu2 O.
10. Introduction Methodology Results Conclusion
Effects of temperature and pressure
Design of experiments Response surface model
Cu2 O Area
m = -1,0,1 → qO2 = 4.3, y= Total Area × 100
6.4, 8.5 sccm
t = -1,0,1 → T = 725, 750, y = 52.4 − 18.6 · m + 8.3 · t
775 o C
11. Introduction Methodology Results Conclusion
1D oxygen partial pressure profile
L1 L2
O2
substrate exhaust
Ar
CuI boat
dCO2
JO2 ,z = −DO2 ,Ar + vCO2
dz
JO2 ,z constant within each
segment, [0, L1 ) and
(L1 , L1 + L2 ];
Flux discontinuity at the feed
point L1 .
max
PO2 exp (v (z − L1 − δshift )/D) z ≤ L1
PO2 = max
PO2 z > L1
12. Introduction Methodology Results Conclusion
Comparison with DoE
Initially the 1D
profile shows
c
PO2 off the
substrate.
An estimated
displacement
due to radial
diffusion added
(δshift ).
After the spatial
shift, 1D
calculations
agree with
response surface
model.
13. Introduction Methodology Results Conclusion
2D oxygen partial pressure profile model
Axial and radial O2 diffusion;
Initially investigate limiting case of no O2 consumption by rxn:
1 ∂ ∂CO2 ∂ 2 CO2 v ∂CO2 fO2
r + 2
− =
r ∂r ∂r ∂z DO2 ,Ar ∂z DO2 ,Ar
∂CO2
with BCs JO2 = −DO2 ,Ar ∂z + vCO2 = 0 @ z =0
∂CO2
−DO2 ,Ar ∂z =0 z =L
∂CO2
JO2 = −DO2 ,Ar ∂r =0 r = Ro
∂CO2
∂r =0 r =0
δ (r )
where fO2 = qO2 δ (r , z − L1 ) = qO2 δ (z − L1 )
2πr
14. Introduction Methodology Results Conclusion
2D oxygen partial pressure profile model solution
m n
CO2 = αi,j ψi (r ) θj (z)
i j
Solved through the projection of the concentration on a set of
eigenfunctions.
Eigenfunctions ψi (r ) and θj (z) based on 1D Sturm-Liouville
similar problems with eigenvalues λi and ωj , respectively.
where
v
ψi (r ) = J0 (λi r /Ro ) , φj (z) = Dωj sin (ωj z) + cos (ωj z)
Oxygen feed modeled as a point source at feed tube exit
location:
m n
fO2 = βi,j ψi (r ) θj (z)
i j
15. Introduction Methodology Results Conclusion
2D model solution: eigenfunctions
r -direction z-direction
Eigenfunction equation Eigenfunction equation
1d dψ d 2θ
r = λ2 ψ = ω2θ
r dr dr dz 2
BCs BCs
dψ(r )
dr = 0 at r =0 −D dθ(z) + v θ(z) = 0
dz z =0
dψ(r ) dθ(z)
dr =0 r = Ro dz = 0 z = L1 + L2
Eigenvalue equation Eigenvalue equation
J1 (λj ) = 0 (D/vL)ωi = tan (ωi L)
16. Introduction Methodology Results Conclusion
Computed O2 pressure profile
O2 pressure profile estimated by solving the 2D governing equation with
a parabolic velocity profile v (r ). The units in the color bar are [Pa].
17. Introduction Methodology Results Conclusion
O2 Convergence test
Mass balance equation
Ro /L
qO2 − 0 (v (r )CO2 (m, n, r , z = L)2πr ) dr
MB(m, n) = × 100
qO2
18. Introduction Methodology Results Conclusion
O2 Profile - COMSOL Model
Newtonian incompressible
fluid
Axial symmetry
Velocity profile results
parabolic and is develop
soon after the oxygen feed
point.
19. Introduction Methodology Results Conclusion
O2 Comparison with COMSOL Model
Comparison of the
oxygen partial
pressure profile at
the wall of the
reactor
Model with 100
eigenfunctions in
both the r and z
directions
20. Introduction Methodology Results Conclusion
Limiting Case - O2 consumption in the gas phase
1 ∂ ∂CO2 ∂ 2 CO2 v ∂CO2 kG fO2
r + 2
− − CO2 =
r ∂r ∂r ∂z DO2 ,Ar ∂z DO2 ,Ar DO2 ,Ar
Oxygen is only consumed by reactions in the gas phase;
1st-order reaction constant kG for the consumption of oxygen.
21. Introduction Methodology Results Conclusion
Limiting Case - O2 consumption by deposition
B.C. at r = Ro
∂CO2
kpO2 · PO2 = kadsO2 CO2 = −DO2 ,Ar
∂r
The eigenvalues λ are obtained from the following equation
DO2 ,Ar λ
kads J0 (λRo /L) = J1 (λRo /L)
L
Oxygen is consumed only by deposition on the walls and the
substrate. The governing equation does not change, only the
boundary condition at the walls.
22. Introduction Methodology Results Conclusion
Limiting Cases Comparison
Representative
experimental film profiles:
Da = Damk¨hler
o
number
DaG = kG L/vavg
23. Introduction Methodology Results Conclusion
Limiting cases comparison
Representative
experimental film profiles:
DaS = kadsO2 Ro 2 /DO2 ,Ar
DaS (750o C) = 464
max
kads related to kPO2 :
max RT
kadsO (T ) =
2 2πMwO2 RT
24. Introduction Methodology Results Conclusion
Conclusions
We account for a spatially sharp film composition transition by the
single degree of freedom in the Cu2 O-O2 -CuO system. Transition
location can be estimated from the O2 partial pressure profile in the
reactor.
Transport models in 1 and 2 dimensions were created to predict the
O2 spatial profiles to probe the effect of T and O2 flow on
transition position. Transition location positions as a function of
surface and homogeneous gas phase O2 consumption rates were
examined over a range of rate constants.
Qualitative comparisons to observed film measurements tend to
support the likelihood of the primary role of surface reactions,
although gas-phase reactions cannot be ruled out.
Current work focuses on estimating dissociative O2 adsorption rates
and more detailed surface- and gas-phase reaction mechanisms.