A Multi-Paradigm Computational Model of Materials Electrochemical Reactivity for Energy Conversion and Storage
Source abstract
Abstract
In this paper we report a new multi-paradigm modeling approach devoted to the investigation of the electrochemical reactivity of materials in electrodes for energy conversion or storage applications. The approach couples an atomistically-resolved Kinetic Monte Carlo (KMC) modeling module describing the electrochemical kinetics in an active material, with continuum modeling modules describing reactants transport at the active material/electrolyte nanoscopic interface (electrochemical double layer region) and along the mesoscale electrode thickness. The KMC module is developed by extending the so-called Variable Step Size Method (VSSM) algorithm (called here Electrochemical-VSSM) and constitutes the first VSSM extension reported so far which allows calculating the electrode potential as function of the imposed current density. The KMC module can be parameterized with activation energies calculated from Density Functional Theory (DFT), and thanks to the coupling with the transport modules, it describes the materials reactivity in electrochemical conditions. This approach allows us to study how the surface morphology (e.g. distribution of inactive sites, size of the active material particle, etc.) impacts the performance of the electrode. As an application example, we report here a computational investigation of the Oxygen Reduction Reaction (ORR) kinetics in a Pt(111)-based Polymer Electrolyte Membrane Fuel Cell (PEMFC) cathode.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Fuel Cells and Related Materials · Electrocatalysts for Energy Conversion · Advanced battery technologies research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (44)
Show source-provided references
1. Franco A. A. , PEMFC degradation modeling and analysis, in Polymer electrolyte membrane and direct methanol fuel cell technology (PEMFCs and DMFCs) - Volume 1: Fundamentals and performance, edited by Hartnig C. Roth C. (Woodhead, UK) (2012).
2. 10.1149/2.012310jss10.1149/2.012310jss ↗
3. 10.1016/j.ijhydene.2014.03.21810.1016/j.ijhydene.2014.03.218 ↗
4. Franco A. A. , Multiscale modeling, in Encyclopedia of Applied Electrochemistry, edited by Savinell R. Ota K. I. Kreysa G. (Springer, UK) (2013).
5. 10.1201/b1525910.1201/b15259 ↗
6. 10.1039/c3ra23502e10.1039/c3ra23502e ↗
7. 10.1002/fuce.20050020410.1002/fuce.200500204 ↗
8. 10.1063/1.284194110.1063/1.2841941 ↗
9. 10.1021/jp111400k10.1021/jp111400k ↗
10. 10.1016/j.electacta.2013.07.21410.1016/j.electacta.2013.07.214 ↗
11. 10.1016/S0009-2509(00)00402-410.1016/S0009-2509(00)00402-4 ↗
12. Reuter K. , in Modeling and Simulation of Heterogeneous Catalytic Reactions: From the Molecular Process to the Technical System, edited by Deutschmann O. , Weinberg: Wiley-VCH (2011).
13. 10.1149/1.243468610.1149/1.2434686 ↗
14. Hawking S. W. , A Brief Story of Time from the Big Bang to Black Holes. Bantam Book, New York (1988).
15. 10.1063/1.167824510.1063/1.1678245 ↗
16. 10.1103/RevModPhys.73.3310.1103/RevModPhys.73.33 ↗
17. 10.1016/j.scriptamat.2005.04.03810.1016/j.scriptamat.2005.04.038 ↗
18. Van Kampen N. G. , Stochastic processes in physics and chemistry, Access Online via Elsevier, (1992).
19. 10.1016/j.jelechem.2007.02.02010.1016/j.jelechem.2007.02.020 ↗
20. 10.1149/1.354852610.1149/1.3548526 ↗
21. 10.1149/1.139113010.1149/1.1391130 ↗
22. 10.1021/jz300562v10.1021/jz300562v ↗
23. 10.1016/j.jelechem.2006.09.00310.1016/j.jelechem.2006.09.003 ↗
24. 10.1021/jp047349j10.1021/jp047349j ↗
25. 10.1016/j.susc.2004.06.20510.1016/j.susc.2004.06.205 ↗
26. 10.1016/S0169-4332(03)00673-110.1016/S0169-4332(03)00673-1 ↗
27. 10.1016/S0022-0728(96)04813-910.1016/S0022-0728(96)04813-9 ↗
28. 10.1016/0010-4655(94)00155-U10.1016/0010-4655(94)00155-U ↗
29. 10.1038/ncomms381710.1038/ncomms3817 ↗
30. 10.1021/jp710811s10.1021/jp710811s ↗
31. 10.1103/PhysRevE.58.259810.1103/PhysRevE.58.2598 ↗
32. 10.1016/j.electacta.2011.05.10910.1016/j.electacta.2011.05.109 ↗
33. 10.1016/j.electacta.2014.05.14410.1016/j.electacta.2014.05.144 ↗
34. 10.1149/2.029408jes10.1149/2.029408jes ↗
35. Ferreira de Morais R. , Study of the stability and the reactivity of Pt and Pt3Ni model catalyst for PEM fuel cells : an ab-initio based multiscale modeling approach, PhD thesis, École Normale Supérieure, Lyon, (2011) http://www.theses.fr/2011ENSL0694.
36. 10.1021/cs501252510.1021/cs5012525 ↗
37. 10.1016/0039-6028(86)90265-710.1016/0039-6028(86)90265-7 ↗
38. 10.1016/0021-9517(80)90323-110.1016/0021-9517(80)90323-1 ↗
39. https://www.mecs.u-picardie.fr/doku.php.
40. 10.1103/PhysRevB.69.19540410.1103/PhysRevB.69.195404 ↗
41. 10.1002/1615-6854(200107)1:2:<105::AID-FUCE105>3.0.CO;2-910.1002/1615-6854(200107)1:2:<105::AID-FUCE105>3.0.CO;2-9 ↗
42. 10.1021/jp210802q10.1021/jp210802q ↗
43. 10.1149/2.0121504jes10.1149/2.0121504jes ↗
44. 10.1149/2.002408jes10.1149/2.002408jes ↗