journal article·2024-05-10Open access

Dynamic Promotion of the Oxygen Evolution Reaction via Programmable Metal Oxides

Sallye R. Gathmann, Christopher J. Bartel, Lars C. Grabow, Omar A. Abdelrahman, C. Daniel Frisbie, Paul J. Dauenhauer

ACS Energy Letters· Volume 9· Issue 5

Abstract

Hydrogen gas is a promising renewable energy storage medium when produced via water electrolysis, but this process is limited by the sluggish kinetics of the anodic oxygen evolution reaction (OER). Herein, we used a microkinetic model to investigate promoting the OER using programmable oxide catalysts (i.e., forced catalyst dynamics). We found that programmable catalysts could increase current density at a fixed overpotential (100–600× over static rates) or reduce the overpotential required to reach a fixed current density of 10 mA cm –2 (45–140% reduction vs static). In our kinetic parametrization, the key parameters controlling the quality of the catalytic ratchet were the O*-to-OOH* and O*-to-OH* activation barriers. Our findings indicate that programmable catalysts may be a viable strategy for accelerating the OER or enabling lower-overpotential operation, but a more accurate kinetic parametrization is required for precise predictions of performance, ratchet quality, and resulting energy efficiency.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Advanced Memory and Neural Computing · Fuel Cells and Related Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Center for Programmable Energy Catalysis (CPEC), University of Minnesota, 421 Washington Ave. SE, Minneapolis, Minnesota 55455, United States

Department of Chemical Engineering & Materials Science, University of Minnesota, 421 Washington Ave. SE, Minneapolis, Minnesota 55455, United States

William A. Brookshire Department of Chemical and Biomolecular Engineering, University of Houston, 4226 Martin Luther King Boulevard, Houston, Texas 77204, United States

Funding

Energy Frontier Research Centers

References (100+)

Show source-provided references
1. 10.1039/D0CS01079K10.1039/D0CS01079K ↗
2. 10.1126/science.aad499810.1126/science.aad4998 ↗
3. 10.1016/j.ccst.2022.10004210.1016/j.ccst.2022.100042 ↗
4. 10.1039/D2EE01023B10.1039/D2EE01023B ↗
5. 10.1038/s43586-022-00164-010.1038/s43586-022-00164-0 ↗
6. 10.1039/D1SC04775B10.1039/D1SC04775B ↗
7. 10.1021/acsenergylett.0c0203010.1021/acsenergylett.0c02030 ↗
8. 10.1021/acscatal.0c0190610.1021/acscatal.0c01906 ↗
9. 10.1002/cctc.20100039710.1002/cctc.201000397 ↗
10. 10.1016/j.jelechem.2006.11.00810.1016/j.jelechem.2006.11.008 ↗
11. 10.1039/C9SC05897D10.1039/C9SC05897D ↗
12. 10.1039/c3sc50205h10.1039/c3sc50205h ↗
13. 10.1021/acs.jpcc.0c0669110.1021/acs.jpcc.0c06691 ↗
14. 10.1016/j.jelechem.2010.10.00410.1016/j.jelechem.2010.10.004 ↗
15. 10.1021/acsenergylett.0c0197810.1021/acsenergylett.0c01978 ↗
16. 10.1021/acsnano.3c0981510.1021/acsnano.3c09815 ↗
17. 10.1021/acsami.3c1462310.1021/acsami.3c14623 ↗
18. 10.1021/jacs.2c0948110.1021/jacs.2c09481 ↗
19. 10.1021/jacsau.2c0011410.1021/jacsau.2c00114 ↗
20. 10.1021/acs.analchem.8b0521610.1021/acs.analchem.8b05216 ↗
21. 10.1021/acsami.2c1854910.1021/acsami.2c18549 ↗
22. 10.1021/acs.nanolett.9b0207910.1021/acs.nanolett.9b02079 ↗
23. Vempatti, V. V. R.; Wang, S.; Abdelrahman, O. A.; Dauenhauer, P. J.; Grabow, L. C. Catalytic Resonance of Methane Steam Reforming by Dynamically Applied Charges. ChemRxiv 2024, 2024-8sxpx10.26434/chemrxiv-2024-8sxpx10.26434/chemrxiv-2024-8sxpx ↗
24. 10.1038/s41467-023-43641-010.1038/s41467-023-43641-0 ↗
25. 10.1021/acscatal.0c0333610.1021/acscatal.0c03336 ↗
26. 10.1021/acscatal.9b0160610.1021/acscatal.9b01606 ↗
27. 10.1039/C9CY01543D10.1039/C9CY01543D ↗
28. 10.1016/j.checat.2021.12.00610.1016/j.checat.2021.12.006 ↗
29. 10.1016/j.checat.2022.09.00210.1016/j.checat.2022.09.002 ↗
30. 10.1126/sciadv.abl657610.1126/sciadv.abl6576 ↗
31. 10.1021/acscatal.1c0373710.1021/acscatal.1c03737 ↗
32. 10.1016/j.jcat.2022.07.02110.1016/j.jcat.2022.07.021 ↗
33. 10.1016/j.electacta.2021.13981010.1016/j.electacta.2021.139810 ↗
34. 10.1021/jacsau.1c0031510.1021/jacsau.1c00315 ↗
35. 10.1016/j.jcat.2020.09.00710.1016/j.jcat.2020.09.007 ↗
36. 10.1039/C9EE02697E10.1039/C9EE02697E ↗
37. 10.1039/D0QI01465F10.1039/D0QI01465F ↗
38. 10.1002/aenm.20160127510.1002/aenm.201601275 ↗
39. 10.1039/D1EE03915F10.1039/D1EE03915F ↗
40. 10.1021/acsenergylett.7b0013510.1021/acsenergylett.7b00135 ↗
41. 10.1016/j.coelec.2023.10138210.1016/j.coelec.2023.101382 ↗
42. 10.1039/D2EE00158F10.1039/D2EE00158F ↗
43. 10.1149/1945-7111/abdeea10.1149/1945-7111/abdeea ↗
44. 10.1021/acs.jpcc.0c0812010.1021/acs.jpcc.0c08120 ↗
45. 10.1021/acs.chemrev.1c0100310.1021/acs.chemrev.1c01003 ↗
46. 10.1021/acs.nanolett.9b0288810.1021/acs.nanolett.9b02888 ↗
47. 10.1021/jp410060810.1021/jp4100608 ↗
48. 10.1021/acscatal.3c0047410.1021/acscatal.3c00474 ↗
49. 10.1021/jacs.1c0727610.1021/jacs.1c07276 ↗
50. 10.1016/j.coelec.2022.10094010.1016/j.coelec.2022.100940 ↗
51. 10.1021/cs501312v10.1021/cs501312v ↗
52. 10.1038/s41929-022-00789-010.1038/s41929-022-00789-0 ↗
53. 10.1002/elsa.20210021310.1002/elsa.202100213 ↗
54. 10.1021/acs.jpcc.8b0854910.1021/acs.jpcc.8b08549 ↗
55. 10.1021/acs.jpcc.9b0383010.1021/acs.jpcc.9b03830 ↗
56. 10.1002/chem.20210235610.1002/chem.202102356 ↗
57. 10.1021/acs.jpcc.1c0299810.1021/acs.jpcc.1c02998 ↗
58. 10.1038/s41586-020-2908-210.1038/s41586-020-2908-2 ↗
59. 10.1021/acs.jpclett.1c0080010.1021/acs.jpclett.1c00800 ↗
60. 10.1021/jacs.6b0755710.1021/jacs.6b07557 ↗
61. 10.1016/j.electacta.2010.02.05610.1016/j.electacta.2010.02.056 ↗
62. 10.1073/pnas.172203411510.1073/pnas.1722034115 ↗
63. 10.1021/acsenergylett.1c0023410.1021/acsenergylett.1c00234 ↗
64. 10.1002/celc.20220048110.1002/celc.202200481 ↗
65. 10.1039/c1cp21349k10.1039/c1cp21349k ↗
66. 10.1002/adts.20230018210.1002/adts.202300182 ↗
67. 10.1038/s41467-023-40011-810.1038/s41467-023-40011-8 ↗
68. 10.1016/j.jcat.2021.08.04310.1016/j.jcat.2021.08.043 ↗
69. 10.1021/acs.chemrev.0c0039410.1021/acs.chemrev.0c00394 ↗
70. 10.1137/14100067110.1137/141000671 ↗
71. 10.5334/jors.15110.5334/jors.151 ↗
72. 10.1002/smtd.20180016810.1002/smtd.201800168 ↗
73. 10.1021/jz501061n10.1021/jz501061n ↗
74. 10.1039/D0NR02410D10.1039/D0NR02410D ↗
75. 10.1038/s41467-022-32024-610.1038/s41467-022-32024-6 ↗
76. 10.1039/D3EY00101F10.1039/D3EY00101F ↗
77. 10.1016/0254-0584(86)90045-310.1016/0254-0584(86)90045-3 ↗
78. 10.1021/acscatal.9b0156410.1021/acscatal.9b01564 ↗
79. 10.1039/C7EE02307C10.1039/C7EE02307C ↗
80. 10.1038/s41929-020-0457-610.1038/s41929-020-0457-6 ↗
81. 10.1021/acscatal.0c0220110.1021/acscatal.0c02201 ↗
82. 10.1021/acs.iecr.0c0441410.1021/acs.iecr.0c04414 ↗
83. 10.1021/acsenergylett.1c0036410.1021/acsenergylett.1c00364 ↗
84. 10.1021/acscatal.0c0291510.1021/acscatal.0c02915 ↗
85. 10.1021/jacsau.1c0004410.1021/jacsau.1c00044 ↗
86. 10.1021/ja00077a00110.1021/ja00077a001 ↗
87. 10.1002/anie.20230950110.1002/anie.202309501 ↗
88. 10.1038/s41570-023-00558-y10.1038/s41570-023-00558-y ↗
89. 10.1038/s44160-024-00493-w10.1038/s44160-024-00493-w ↗
90. 10.1016/j.jcat.2024.11534310.1016/j.jcat.2024.115343 ↗
91. 10.1021/acscatal.0c0204610.1021/acscatal.0c02046 ↗
92. 10.1039/D0EE02292F10.1039/D0EE02292F ↗
93. 10.1021/jp047349j10.1021/jp047349j ↗
94. 10.1021/acs.chemrev.1c0092910.1021/acs.chemrev.1c00929 ↗
95. 10.1109/MCSE.2007.5510.1109/MCSE.2007.55 ↗
96. 10.1016/S0377-0427(99)00134-X10.1016/S0377-0427(99)00134-X ↗
97. 10.1021/acscatal.7b0011510.1021/acscatal.7b00115 ↗
98. 10.1002/aic.1765310.1002/aic.17653 ↗
99. Revels, J.; Lubin, M.; Papamarkou, T. Forward-Mode Automatic Differentiation in Julia. arXiv 2016 arXiv:1607.0789210.48550/arXiv.1607.0789210.48550/arXiv.1607.07892 ↗
100. 10.48550/arXiv.2001.0438510.48550/arXiv.2001.04385 ↗