Differentiable Electrochemistry: A Paradigm Characterizing Physical Laws in Electrochemical Systems
Source abstract
Abstract
Despite the long history of electrochemistry, there is a lack of quantitative algorithms that rigorously correlate experiments with theory. Here we introduce Differentiable Electrochemistry, an emerging paradigm in electrochemical modeling that integrates thermodynamics, kinetics, and mass transport with differentiable programming enabled by automatic differentiation. By making the entire electrochemical simulation end-to-end differentiable, this framework enables gradient-based optimization for mechanistic discovery from experimental and simulation data, achieving approximately one to two orders of improvement over gradient-free methods. Specifically, Differentiable Electrochemistry advances beyond the Tafel and Nicholson methods by removing several limitations including Tafel region selection and identifies the electron transfer mechanism in Li metal electrodeposition/stripping by parametrizing the full Marcus–Hush–Chidsey formalism. In addition, Differentiable Electrochemistry interprets Operando X-ray measurements in a concentrated electrolyte by coupling concentration and velocity theories. This framework resolves ambiguity when multiple electrochemical theories intertwine and establishes a physics-consistent and data-efficient foundation for predictive electrochemical modeling.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: CO2 Reduction Techniques and Catalysts · Electrocatalysts for Energy Conversion · Advanced Battery Materials and Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Michigan Institute for Data and AI in Society
University of Michigan
Department of Aerospace Engineering
Department of Mechanical Engineering
Division of Computer Science and Engineering
Colorado School of Mines
Payne Institute for Public Policy
Funding
Schmidt AI in Science Fellowship Program, Schmidt Sciences, LLC
References (81)
Show source-provided references
1. 10.1021/acs.chemrev.1c0090110.1021/acs.chemrev.1c00901 ↗
2. 10.1021/acsenergylett.0c0181510.1021/acsenergylett.0c01815 ↗
3. 10.1021/acsenergylett.7b0043210.1021/acsenergylett.7b00432 ↗
4. 10.1021/acsenergylett.8b0219510.1021/acsenergylett.8b02195 ↗
5. 10.1021/acsenergylett.9b0257410.1021/acsenergylett.9b02574 ↗
6. 10.1021/acsenergylett.4c0127610.1021/acsenergylett.4c01276 ↗
7. 10.1038/s44286-024-00170-x10.1038/s44286-024-00170-x ↗
8. 10.1515/zpch-1905-504310.1515/zpch-1905-5043 ↗
9. 10.1021/ac60230a01610.1021/ac60230a016 ↗
10. 10.1016/j.joule.2023.05.00710.1016/j.joule.2023.05.007 ↗
11. 10.1002/celc.20180095010.1002/celc.201800950 ↗
12. 10.1021/acs.analchem.9b0012910.1021/acs.analchem.9b00129 ↗
13. 10.1016/j.coelec.2023.10130610.1016/j.coelec.2023.101306 ↗
14. 10.1021/jacs.4c0308510.1021/jacs.4c03085 ↗
15. 10.1039/D3CP04628A10.1039/D3CP04628A ↗
16. 10.1021/acsenergylett.1c0019410.1021/acsenergylett.1c00194 ↗
17. 10.1002/wcms.155910.1002/wcms.1559 ↗
18. 10.1007/s10008-020-04639-610.1007/s10008-020-04639-6 ↗
19. 10.1016/j.coelec.2016.12.00110.1016/j.coelec.2016.12.001 ↗
20. 10.48550/arXiv.2109.0757310.48550/arXiv.2109.07573 ↗
21. 10.1021/acs.analchem.2c0011010.1021/acs.analchem.2c00110 ↗
22. 10.1109/ACCESS.2024.342544810.1109/ACCESS.2024.3425448 ↗
23. Martins J. R. · 202110.1017/9781108980647 ↗
24. 10.48550/arXiv.2109.0523710.48550/arXiv.2109.05237 ↗
25. 10.1103/PhysRevFluids.10.02460510.1103/PhysRevFluids.10.024605 ↗
26. 10.1021/acs.jpclett.3c0312910.1021/acs.jpclett.3c03129 ↗
27. 10.1016/j.scriptamat.2021.11421710.1016/j.scriptamat.2021.114217 ↗
28. 10.1063/5.007620210.1063/5.0076202 ↗
29. 10.1039/D3SC05230C10.1039/D3SC05230C ↗
30. Digisim Simulation Software For Cyclic Voltammetry. https://www.basinc.com/products/ec/digisim// (accessed 2025–08–21).
31. DigiElch Electrochemical Simulation Software. https://www.gamry.com/cells-and-accessories/digielch-electrochemical-simulation-software// (accessed 2025–08–21).
32. Pryor R. W. · 2009
33. 10.1021/acs.jchemed.5c0109210.1021/acs.jchemed.5c01092 ↗
34. 10.1515/pac-2014-502610.1515/pac-2014-5026 ↗
35. 10.1515/pac-2014-502510.1515/pac-2014-5025 ↗
36. 10.1038/s41929-025-01397-410.1038/s41929-025-01397-4 ↗
37. 10.1021/acsenergylett.4c0026610.1021/acsenergylett.4c00266 ↗
38. 10.1021/acscatal.2c0358110.1021/acscatal.2c03581 ↗
39. 10.1002/celc.20200110710.1002/celc.202001107 ↗
40. 10.1016/j.jelechem.2018.08.01810.1016/j.jelechem.2018.08.018 ↗
41. 10.1016/j.elecom.2023.10755610.1016/j.elecom.2023.107556 ↗
42. 10.1002/ange.20231593710.1002/ange.202315937 ↗
43. 10.1016/j.jelechem.2022.11691810.1016/j.jelechem.2022.116918 ↗
44. 10.1021/acselectrochem.5c0021410.1021/acselectrochem.5c00214 ↗
45. 10.1021/jp501862n10.1021/jp501862n ↗
46. 10.1021/acs.jpclett.3c0281010.1021/acs.jpclett.3c02810 ↗
47. 10.1021/acsenergylett.0c0003110.1021/acsenergylett.0c00031 ↗
48. 10.1063/5.002377110.1063/5.0023771 ↗
49. 10.1038/ncomms458510.1038/ncomms4585 ↗
50. 10.1126/science.251.4996.91910.1126/science.251.4996.919 ↗
51. 10.1039/c3cs35487c10.1039/c3cs35487c ↗
52. Compton R. G. · 202510.1142/q0471 ↗
53. 10.1016/j.jelechem.2014.09.03810.1016/j.jelechem.2014.09.038 ↗
54. 10.1039/D0EE02193H10.1039/D0EE02193H ↗
55. 10.1021/acs.jpcc.4c0685110.1021/acs.jpcc.4c06851 ↗
56. 10.1016/S0022-0728(78)80190-910.1016/S0022-0728(78)80190-9 ↗
57. 10.1016/S0022-0728(72)80294-810.1016/S0022-0728(72)80294-8 ↗
58. 10.1016/S0022-0728(96)04735-310.1016/S0022-0728(96)04735-3 ↗
59. 10.1002/recl.1960079031010.1002/recl.19600790310 ↗
60. 10.1039/D0CS01079K10.1039/D0CS01079K ↗
61. 10.1021/acscentsci.3c0143910.1021/acscentsci.3c01439 ↗
62. 10.1149/1.242561910.1149/1.2425619 ↗
63. 10.1021/ja01335a00410.1021/ja01335a004 ↗
64. 10.1021/acsenergylett.7b0043210.1021/acsenergylett.7b00432 ↗
65. 10.1021/acsenergylett.9b0257410.1021/acsenergylett.9b02574 ↗
66. 10.1039/C8TA10513H10.1039/C8TA10513H ↗
67. 10.1109/ACCESS.2024.342544810.1109/ACCESS.2024.3425448 ↗
68. 10.1021/acsenergylett.7b0079210.1021/acsenergylett.7b00792 ↗
69. 10.1149/1945-7111/ab8fd710.1149/1945-7111/ab8fd7 ↗
70. 10.1016/j.jpowsour.2015.09.05610.1016/j.jpowsour.2015.09.056 ↗
71. 10.1016/j.joule.2020.06.01610.1016/j.joule.2020.06.016 ↗
72. 10.1021/acsenergylett.8b0200310.1021/acsenergylett.8b02003 ↗
73. 10.1016/j.joule.2021.10.00710.1016/j.joule.2021.10.007 ↗
74. 10.1002/aenm.20220369010.1002/aenm.202203690 ↗
75. 10.1149/2.0581711jes10.1149/2.0581711jes ↗
76. 10.1016/S0013-4686(97)10092-510.1016/S0013-4686(97)10092-5 ↗
77. 10.1016/S0013-4686(01)00785-X10.1016/S0013-4686(01)00785-X ↗
78. 10.1149/1945-7111/ac632910.1149/1945-7111/ac6329 ↗
79. 10.1149/1945-7111/ad0c6610.1149/1945-7111/ad0c66 ↗
80. 10.48550/arXiv.2203.1718910.48550/arXiv.2203.17189 ↗
81. 10.1021/acsenergylett.1c0171010.1021/acsenergylett.1c01710 ↗