Multiscale Computational Insights for Hydrogel Electrolytes in Aqueous Zinc Metal Batteries
Source abstract
Abstract
ABSTRACT Aqueous zinc metal batteries (AZMBs) are promising due to their inherent safety, eco‐friendliness, and cost‐effectiveness. However, uncontrolled interfacial issues such as anode dendrites, hydrogen evolution, and cathode dissolution, adversely affect the cycling stability and capacity retention of AZMBs. Hydrogel electrolytes (HEs) could mitigate these issues but face practical limitations like mechanical fragility, interfacial instability, and temperature sensitivity. Furthermore, critical knowledge gaps persist in understanding cross‐scale structure‐property relationships from atomic‐scale to macroscale mechanical/electrochemical performance, and coupled mechanisms of charge/ion transfer and reaction kinetics in HEs. These gaps necessitate a multiscale computational perspective that bridge microscopic interactions and macroscopic functionality. Herein, we systematically discuss the challenges of HEs and the transformative role of multiscale computations in AZMBs. The intrinsic properties of HEs are first deconstructed through dual perspectives of electrochemical and physical characteristics, followed by critical challenges including the stability of the electrode/electrolyte interface. In response to these challenges, this review provides detailed insights of how multiscale computations, encompassing atomic/electronic, molecular, and macroscale approaches, elucidate the microscopic mechanisms of HE internal component interactions and electrolyte‐electrode interfacial behaviors at different scales. Finally, current challenges and prospects of multiscale computational frameworks for guiding the design of high‐performance HEs in AZMBs are discussed.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced battery technologies research · Membrane-based Ion Separation Techniques · Electrocatalysts for Energy Conversion
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials Shenzhen Campus of Sun Yat‐sen University Shenzhen China
State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat‐sen University Guangzhou China
Funding
National Natural Science Foundation of China · Basic and Applied Basic Research Foundation of Guangdong Province · Shenzhen Science and Technology Innovation Program · State Key Laboratory of Molecular Engineering of Polymers · Fundamental Research Funds for the Central Universities
References (100+)
Show source-provided references
1. 10.1038/s41586‐023‐05913‐z10.1038/s41586‐023‐05913‐z ↗
2. 10.1126/science.ado167510.1126/science.ado1675 ↗
3. 10.1002/adma.20231245110.1002/adma.202312451 ↗
4. 10.1038/s41586‐024‐08465‐y10.1038/s41586‐024‐08465‐y ↗
5. 10.1021/acsnano.0c0276210.1021/acsnano.0c02762 ↗
6. 10.1007/s40820‐024‐01363‐y10.1007/s40820‐024‐01363‐y ↗
7. 10.1016/j.apcatb.2021.11990910.1016/j.apcatb.2021.119909 ↗
8. 10.1007/s40820‐023‐01220‐410.1007/s40820‐023‐01220‐4 ↗
9. 10.1016/j.nanoen.2020.10448210.1016/j.nanoen.2020.104482 ↗
10. 10.1002/aenm.20220437810.1002/aenm.202204378 ↗
11. 10.1039/D4SC00711E10.1039/D4SC00711E ↗
12. 10.1021/acsenergylett.4c0079210.1021/acsenergylett.4c00792 ↗
13. 10.1038/s41929‐024‐01169‐610.1038/s41929‐024‐01169‐6 ↗
14. 10.1016/j.joule.2025.10184410.1016/j.joule.2025.101844 ↗
15. 10.1007/s40843‐023‐2598‐010.1007/s40843‐023‐2598‐0 ↗
16. 10.1007/s40820‐023‐01227‐x10.1007/s40820‐023‐01227‐x ↗
17. 10.1039/D4EE03628J10.1039/D4EE03628J ↗
18. 10.1007/s40820‐023‐01304‐110.1007/s40820‐023‐01304‐1 ↗
19. 10.1016/j.ensm.2023.10292010.1016/j.ensm.2023.102920 ↗
20. 10.1016/j.cej.2023.14598710.1016/j.cej.2023.145987 ↗
21. 10.1002/adma.20230262510.1002/adma.202302625 ↗
22. 10.1016/j.nanoen.2021.10598710.1016/j.nanoen.2021.105987 ↗
23. 10.1039/D2EE02416K10.1039/D2EE02416K ↗
24. 10.1016/j.nanoen.2020.10452310.1016/j.nanoen.2020.104523 ↗
25. 10.1016/j.cclet.2024.11002510.1016/j.cclet.2024.110025 ↗
26. 10.1021/acsnano.4c0989910.1021/acsnano.4c09899 ↗
27. 10.1002/adma.20231064510.1002/adma.202310645 ↗
28. 10.1016/j.jechem.2024.05.03310.1016/j.jechem.2024.05.033 ↗
29. 10.1039/D4TA01290A10.1039/D4TA01290A ↗
30. 10.1002/aenm.20200382310.1002/aenm.202003823 ↗
31. 10.1016/j.cej.2024.15454110.1016/j.cej.2024.154541 ↗
32. 10.1016/j.ensm.2021.11.00310.1016/j.ensm.2021.11.003 ↗
33. 10.1016/j.ensm.2025.10426810.1016/j.ensm.2025.104268 ↗
34. 10.1038/s41467‐024‐52611‐z10.1038/s41467‐024‐52611‐z ↗
35. 10.1002/anie.20240206910.1002/anie.202402069 ↗
36. 10.1002/adfm.20231654110.1002/adfm.202316541 ↗
37. 10.1016/j.ensm.2023.10288210.1016/j.ensm.2023.102882 ↗
38. 10.1002/anie.20231219310.1002/anie.202312193 ↗
39. 10.1002/aenm.20230267610.1002/aenm.202302676 ↗
40. 10.1016/j.ensm.2022.03.01310.1016/j.ensm.2022.03.013 ↗
41. 10.1039/D4EE00357H10.1039/D4EE00357H ↗
42. 10.1002/aenm.20230025010.1002/aenm.202300250 ↗
43. 10.1002/anie.20180561810.1002/anie.201805618 ↗
44. 10.1021/acsami.8b1800310.1021/acsami.8b18003 ↗
45. 10.1002/adfm.20230605210.1002/adfm.202306052 ↗
46. 10.1002/smll.20230394910.1002/smll.202303949 ↗
47. 10.1016/j.scib.2022.01.02710.1016/j.scib.2022.01.027 ↗
48. 10.1002/anie.20201203010.1002/anie.202012030 ↗
49. 10.1126/sciadv.adf707510.1126/sciadv.adf7075 ↗
50. 10.1002/aenm.20230341110.1002/aenm.202303411 ↗
51. 10.1002/adma.20230199610.1002/adma.202301996 ↗
52. 10.1002/smll.20220761010.1002/smll.202207610 ↗
53. 10.1002/ange.20231202010.1002/ange.202312020 ↗
54. 10.1002/adfm.20240959410.1002/adfm.202409594 ↗
55. 10.1007/s12274‐024‐6525‐510.1007/s12274‐024‐6525‐5 ↗
56. 10.1002/adma.20231108210.1002/adma.202311082 ↗
57. 10.1016/j.ensm.2022.06.03410.1016/j.ensm.2022.06.034 ↗
58. 10.1016/j.ensm.2019.03.00710.1016/j.ensm.2019.03.007 ↗
59. 10.1016/j.pmatsci.2022.10105510.1016/j.pmatsci.2022.101055 ↗
60. 10.1103/PhysRevX.1.02101210.1103/PhysRevX.1.021012 ↗
61. 10.1039/D0CS00305K10.1039/D0CS00305K ↗
62. 10.1002/smll.20231097210.1002/smll.202310972 ↗
63. 10.1002/adma.20211014010.1002/adma.202110140 ↗
64. 10.1002/aenm.20240613910.1002/aenm.202406139 ↗
65. 10.1016/j.xcrp.2025.10285310.1016/j.xcrp.2025.102853 ↗
66. 10.1002/anie.20251141010.1002/anie.202511410 ↗
67. 10.1002/aenm.20230292710.1002/aenm.202302927 ↗
68. 10.1002/adfm.20230773610.1002/adfm.202307736 ↗
69. 10.1002/anie.20241477710.1002/anie.202414777 ↗
70. 10.1002/adma.20251102910.1002/adma.202511029 ↗
71. 10.1002/adma.20241835410.1002/adma.202418354 ↗
72. 10.1038/s41578‐019‐0165‐510.1038/s41578‐019‐0165‐5 ↗
73. 10.1016/j.ensm.2026.10502310.1016/j.ensm.2026.105023 ↗
74. 10.1021/acsnano.4c0790710.1021/acsnano.4c07907 ↗
75. 10.1002/ange.20241200610.1002/ange.202412006 ↗
76. 10.1038/s41467‐025‐60125‐510.1038/s41467‐025‐60125‐5 ↗
77. 10.1002/aenm.20240454510.1002/aenm.202404545 ↗
78. 10.1038/s41467‐026‐68394‐410.1038/s41467‐026‐68394‐4 ↗
79. 10.1007/s40820‐025‐01993‐w10.1007/s40820‐025‐01993‐w ↗
80. 10.1002/adfm.20242331110.1002/adfm.202423311 ↗
81. 10.1016/j.cej.2026.17363410.1016/j.cej.2026.173634 ↗
82. 10.1002/aenm.20250415110.1002/aenm.202504151 ↗
83. 10.1093/nsr/nwaf30810.1093/nsr/nwaf308 ↗
84. 10.1007/s40820‐024‐01329‐010.1007/s40820‐024‐01329‐0 ↗
85. 10.1002/anie.20250644910.1002/anie.202506449 ↗
86. 10.1016/j.ensm.2022.02.01210.1016/j.ensm.2022.02.012 ↗
87. 10.1016/j.esci.2024.10029410.1016/j.esci.2024.100294 ↗
88. 10.1021/acs.chemrev.5b0056310.1021/acs.chemrev.5b00563 ↗
89. 10.1039/C6TA02621D10.1039/C6TA02621D ↗
90. 10.1021/acs.jpcc.8b0603510.1021/acs.jpcc.8b06035 ↗
91. 10.1002/anie.20200184410.1002/anie.202001844 ↗
92. 10.1039/D2EE00004K10.1039/D2EE00004K ↗
93. 10.1016/j.ensm.2025.10460610.1016/j.ensm.2025.104606 ↗
94. 10.1021/jacs.4c0394310.1021/jacs.4c03943 ↗
95. 10.1103/PRXEnergy.4.02300410.1103/PRXEnergy.4.023004 ↗
96. 10.1021/acs.chemmater.4c0053510.1021/acs.chemmater.4c00535 ↗
97. 10.1126/sciadv.adx981210.1126/sciadv.adx9812 ↗
98. 10.1002/batt.20250039410.1002/batt.202500394 ↗
99. 10.1021/acsenergylett.5c0415410.1021/acsenergylett.5c04154 ↗
100. 10.1002/anie.20241147010.1002/anie.202411470 ↗