journal article·2025-01

Molecular Dynamics Simulations for Electrocatalytic CO2 Reduction: Bridging Macroscopic Experimental Observations and Microscopic Explanatory Mechanisms

Yanzheng He, Mengfan Wang, Haoqing Ji, Qiyang Cheng, Sisi Liu, Yunfei Huan, Tao Qian, Chenglin Yan

Advanced Functional Materials· Volume 35· Issue 3
Publisher page

Abstract

Abstract Electrocatalytic carbon dioxide reduction reaction (CO2RR) has been recognized as a promising route to convert carbon emissions to high‐value chemicals and fuels. Significant breakthroughs are usually inseparable from deeper understanding of reaction mechanisms. To this end, molecular dynamics (MD) simulations have been invaluable in providing detailed insights into elucidation of complex reaction pathways and prediction of overall electrochemical performance, thus bridging macroscopic experimental observations and microscopic explanatory mechanisms. Directed by MD simulations, tremendous efforts have been devoted toward enhancing the CO2RR with rational design of electrocatalyst and efficient construction of electrode/electrolyte interface. Herein, a comprehensive review of applications of MD simulations in CO2RR is emerged. To begin with, specific fundamentals along with familiar methods such as algorithm and force fields of various MD simulations have been summed up. Followed, employment of MD simulations in optimization of CO2RR is introduced, encompassing interpretation of electrocatalyst activity, explanation of electrolyte effect, and investigation of electrode microenvironment. Definitively, imminent challenges and avenues for optimization in future MD simulations are contemplated, envisioning this review as a guiding beacon for future endeavors aimed at harnessing MD simulations to propel CO2RR toward a realm of heightened efficiency, economic viability, and practical utility.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: CO2 Reduction Techniques and Catalysts · Ionic liquids properties and applications · Electrocatalysts for Energy Conversion

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

Affiliations

College of Energy Key Laboratory of Core Technology of High Specific Energy Battery and Key Materials for Petroleum and Chemical Industry Soochow University Suzhou 215006 China

School of Chemistry and Chemical Engineering Nantong University Nantong 226019 China

School of Petrochemical Engineering Changzhou University Changzhou 213164 China

Funding

National Natural Science Foundation of China

References (100+)

Show source-provided references
1. 10.1126/science.aax460810.1126/science.aax4608 ↗
2. 10.1002/cnl2.13110.1002/cnl2.131 ↗
3. Al Naffakh J. · J. Res. Technol. Eng. · 2021 · 2 · 114
4. 10.1073/pnas.060339510310.1073/pnas.0603395103 ↗
5. 10.1126/science.aar661110.1126/science.aar6611 ↗
6. 10.1126/science.aad499810.1126/science.aad4998 ↗
7. 10.1126/science.110319710.1126/science.1103197 ↗
8. 10.1038/nature1147510.1038/nature11475 ↗
9. 10.1016/j.nanoen.2016.04.00910.1016/j.nanoen.2016.04.009 ↗
10. 10.1016/j.rser.2014.07.09310.1016/j.rser.2014.07.093 ↗
11. 10.1021/cr300463y10.1021/cr300463y ↗
12. 10.1021/acscatal.2c0260410.1021/acscatal.2c02604 ↗
13. 10.1007/s12598-023-02343-810.1007/s12598-023-02343-8 ↗
14. 10.1002/adfm.20231554810.1002/adfm.202315548 ↗
15. 10.1002/aenm.20230140910.1002/aenm.202301409 ↗
16. 10.1002/cnl2.2310.1002/cnl2.23 ↗
17. 10.1007/s12598-021-01736-x10.1007/s12598-021-01736-x ↗
18. 10.1038/s41467-018-05758-510.1038/s41467-018-05758-5 ↗
19. 10.1002/adma.20200243510.1002/adma.202002435 ↗
20. 10.1038/s41560-017-0078-810.1038/s41560-017-0078-8 ↗
21. 10.1038/s41929-022-00760-z10.1038/s41929-022-00760-z ↗
22. 10.1038/s41557-020-0481-910.1038/s41557-020-0481-9 ↗
23. 10.1039/C7EE00071E10.1039/C7EE00071E ↗
24. 10.1016/j.joule.2017.09.00310.1016/j.joule.2017.09.003 ↗
25. 10.1002/anie.20170677710.1002/anie.201706777 ↗
26. 10.1039/C9CS00163H10.1039/C9CS00163H ↗
27. 10.1038/nature1906010.1038/nature19060 ↗
28. 10.1039/D0CS00030B10.1039/D0CS00030B ↗
29. 10.1126/science.aaw751510.1126/science.aaw7515 ↗
30. 10.1002/anie.20201044910.1002/anie.202010449 ↗
31. 10.1021/jacs.0c1145010.1021/jacs.0c11450 ↗
32. 10.1021/acscatal.9b0048310.1021/acscatal.9b00483 ↗
33. 10.1038/s41929-019-0383-710.1038/s41929-019-0383-7 ↗
34. 10.1021/acs.accounts.8b0001010.1021/acs.accounts.8b00010 ↗
35. 10.1021/jacs.9b0490710.1021/jacs.9b04907 ↗
36. 10.1021/acs.accounts.7b0061610.1021/acs.accounts.7b00616 ↗
37. 10.1016/j.joule.2021.12.00210.1016/j.joule.2021.12.002 ↗
38. 10.1021/acsaem.8b0079710.1021/acsaem.8b00797 ↗
39. 10.1021/la504445g10.1021/la504445g ↗
40. 10.1021/acssuschemeng.7b0002310.1021/acssuschemeng.7b00023 ↗
41. 10.1016/j.jechem.2023.12.02410.1016/j.jechem.2023.12.024 ↗
42. 10.1021/acsami.0c0194010.1021/acsami.0c01940 ↗
43. 10.1038/s41467-022-33066-610.1038/s41467-022-33066-6 ↗
44. 10.1038/s41586-020-2242-810.1038/s41586-020-2242-8 ↗
45. 10.1021/acsmaterialslett.3c0114410.1021/acsmaterialslett.3c01144 ↗
46. 10.1039/D1CS00590A10.1039/D1CS00590A ↗
47. 10.1080/0026897910010011110.1080/00268979100100111 ↗
48. 10.1021/jp053797v10.1021/jp053797v ↗
49. 10.1002/aenm.20180315110.1002/aenm.201803151 ↗
50. 10.1038/s41929-021-00599-w10.1038/s41929-021-00599-w ↗
51. 10.1038/s41467-021-23360-010.1038/s41467-021-23360-0 ↗
52. 10.1016/j.jechem.2024.02.01310.1016/j.jechem.2024.02.013 ↗
53. 10.1016/j.jechem.2021.05.04610.1016/j.jechem.2021.05.046 ↗
54. 10.1002/adma.20230370310.1002/adma.202303703 ↗
55. 10.1002/adfm.20220847410.1002/adfm.202208474 ↗
56. 10.1021/acs.jpcc.1c0696110.1021/acs.jpcc.1c06961 ↗
57. 10.1002/adma.20221173010.1002/adma.202211730 ↗
58. 10.1002/adma.20180525210.1002/adma.201805252 ↗
59. 10.1002/anie.20200552210.1002/anie.202005522 ↗
60. 10.1002/aenm.20200237310.1002/aenm.202002373 ↗
61. 10.1021/acs.chemrev.1c0090410.1021/acs.chemrev.1c00904 ↗
62. 10.1016/j.enrev.2023.10002810.1016/j.enrev.2023.100028 ↗
63. 10.1088/0953-8984/16/5/00610.1088/0953-8984/16/5/006 ↗
64. 10.1063/1.174395710.1063/1.1743957 ↗
65. 10.1103/PhysRev.136.A40510.1103/PhysRev.136.A405 ↗
66. 10.1088/0022-3719/5/15/00610.1088/0022-3719/5/15/006 ↗
67. 10.1063/1.43948610.1063/1.439486 ↗
68. 10.1088/0022-3719/16/5/01310.1088/0022-3719/16/5/013 ↗
69. 10.1063/1.44733410.1063/1.447334 ↗
70. Schreier L. · Phys. Rev. Lett. · 1988 · 55 · 2471
71. 10.1021/jp953043o10.1021/jp953043o ↗
72. 10.1103/PhysRevLett.57.191910.1103/PhysRevLett.57.1919 ↗
73. 10.1088/0034-4885/43/9/00210.1088/0034-4885/43/9/002 ↗
74. 10.1017/S096249290000280410.1017/S0962492900002804 ↗
75. 10.1007/BF0157384010.1007/BF01573840 ↗
76. 10.1073/pnas.050019310210.1073/pnas.0500193102 ↗
77. 10.1063/5.004545510.1063/5.0045455 ↗
78. 10.1063/1.47177110.1063/1.471771 ↗
79. 10.1088/0953-8984/14/50/20210.1088/0953-8984/14/50/202 ↗
80. 10.1016/j.jmgm.2014.07.00210.1016/j.jmgm.2014.07.002 ↗
81. 10.1103/PhysRevB.58.R589310.1103/PhysRevB.58.R5893 ↗
82. 10.1039/D2CS01068B10.1039/D2CS01068B ↗
83. 10.3390/catal1109112910.3390/catal11091129 ↗
84. Biswas B. N. · Electron. J. Math. Anal. Appl. · 2013 · 1 · 2090
85. 10.1080/0892702910802214210.1080/08927029108022142 ↗
86. 10.1080/0892702880808094110.1080/08927028808080941 ↗
87. 10.1016/S0301-0104(98)00214-610.1016/S0301-0104(98)00214-6 ↗
88. 10.1021/jp962142e10.1021/jp962142e ↗
89. 10.1103/PhysRevLett.99.16040410.1103/PhysRevLett.99.160404 ↗
90. 10.1016/0003-4916(90)90124-710.1016/0003-4916(90)90124-7 ↗
91. 10.1103/PhysRevE.64.01612810.1103/PhysRevE.64.016128 ↗
92. 10.1002/jcc.2068910.1002/jcc.20689 ↗
93. 10.1080/0892702060109681210.1080/08927020601096812 ↗
94. 10.1103/PhysRevB.51.401410.1103/PhysRevB.51.4014 ↗
95. 10.1080/0892702940802198110.1080/08927029408021981 ↗
96. 10.1063/1.236027310.1063/1.2360273 ↗
97. 10.1063/1.495499010.1063/1.4954990 ↗
98. 10.1002/cpa.2020710.1002/cpa.20207 ↗
99. 10.1063/1.307388910.1063/1.3073889 ↗
100. 10.1140/epjst/e2011-01522-010.1140/epjst/e2011-01522-0 ↗