journal article·2026-02-11

Mesostructure-Dependent Capacitive Performance in Two-Dimensional Conductive Metal–Organic Framework Films: Effects of Crystallite Orientation and Aggregation Morphology

Jiahao Peng, Xinghan Pang, Min Song, Yixuan Wu, Yahui Zhang, Jingtian Cheng, Wuyan Liu, Xing Lu, Lifeng Chi, Panpan Zhang, Guang Lu

Publisher page

Abstract

Performance of two-dimensional conductive metal–organic frameworks (MOFs) in supercapacitor applications relies not only on their intrinsic structural properties but also on their mesostructures related to the size, shape, orientation, and aggregation morphology of crystallites assembled on a current collector. Nevertheless, the influence of crystallite orientation and aggregation morphology on the capacitive behavior remains poorly understood. Herein, the capacitive performance of dense face-on, sparse face-on, and edge-on Cu 3 (HHTP) 2 (HHTP = 2,3,6,7,10,11-hexahydroxytriphenylene) films, with controlled thicknesses and distinct crystallite morphologies, was systematically investigated in an aqueous electrolyte (3 M KCl). Face-on films showed a positive correlation between areal capacitance and thickness, indicating efficient electron and ion transport along their vertically aligned [001] channels. Although sparse face-on films exhibited a lower volumetric capacitance (98 F cm –3 ) than dense films (205 F cm –3 ), their isolated rod-like crystallites facilitated lateral interlayer ion diffusion, notably accelerating capacitive kinetics. Conversely, edge-on films displayed increasing areal capacitance only up to a limited thickness (883 nm), beyond which ion diffusion was impeded by a dense base layer formed by lateral intergrowth of vertically aligned sheet-like crystallites. Interestingly, despite featuring much shorter [001] channels, edge-on films showed slower capacitive kinetics than face-on films of comparable thicknesses, which was attributed to their more geometrically heterogeneous surface.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Supercapacitor Materials and Fabrication · Metal-Organic Frameworks: Synthesis and Applications · Nanoporous metals and alloys

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

Affiliations

State Key Laboratory of Bioinspired Interfacial Materials Science, Institute of Functional Nano & Soft Materials (FUNSOM)

Soochow University

State Key Laboratory of New Textile Materials and Advanced Processing, School of Materials Science and Engineering

Huazhong University of Science and Technology

MUST-SUDA Joint Research Center for Advanced Functional Materials

Macau University of Science and Technology

Funding

Collaborative Innovation Center of Suzhou Nano Science and Technology · Higher Education Discipline Innovation Project · the Natural Science Foundation of Wuhan · Suzhou Key Laboratory of Surface and Interface Intelligent Matter · National Natural Science Foundation of China (NSFC) · Innovative Center for Molecular Science of Surface and Interface, Soochow University

References (65)

Show source-provided references
1. 10.1126/science.115873610.1126/science.1158736 ↗
2. 10.1039/C5CS00580A10.1039/C5CS00580A ↗
3. 10.1038/s41563-020-0747-z10.1038/s41563-020-0747-z ↗
4. 10.1039/C4EE03229B10.1039/C4EE03229B ↗
5. 10.1038/nenergy.2016.7010.1038/nenergy.2016.70 ↗
6. 10.1016/j.est.2023.11015210.1016/j.est.2023.110152 ↗
7. 10.1038/nmat229710.1038/nmat2297 ↗
8. 10.1016/j.jallcom.2021.16199810.1016/j.jallcom.2021.161998 ↗
9. 10.1039/b813846j10.1039/b813846j ↗
10. 10.1016/j.est.2022.10569210.1016/j.est.2022.105692 ↗
11. 10.1016/j.est.2023.10822910.1016/j.est.2023.108229 ↗
12. 10.1038/nenergy.2017.10510.1038/nenergy.2017.105 ↗
13. 10.1016/j.est.2024.11259810.1016/j.est.2024.112598 ↗
14. 10.1038/nature0165010.1038/nature01650 ↗
15. 10.1002/anie.20030061010.1002/anie.200300610 ↗
16. 10.1126/science.123044410.1126/science.1230444 ↗
17. 10.1038/natrevmats.2017.4510.1038/natrevmats.2017.45 ↗
18. 10.1016/j.chempr.2019.10.01210.1016/j.chempr.2019.10.012 ↗
19. 10.1021/acs.chemrev.9b0068510.1021/acs.chemrev.9b00685 ↗
20. 10.1021/cr200324t10.1021/cr200324t ↗
21. 10.1002/adma.20210434110.1002/adma.202104341 ↗
22. 10.1021/acs.chemrev.9b0076610.1021/acs.chemrev.9b00766 ↗
23. 10.1002/anie.20200610210.1002/anie.202006102 ↗
24. 10.1002/adma.20220099910.1002/adma.202200999 ↗
25. 10.1038/s41563-019-0598-710.1038/s41563-019-0598-7 ↗
26. 10.1021/jacs.3c0462510.1021/jacs.3c04625 ↗
27. 10.1021/cm301194a10.1021/cm301194a ↗
28. 10.1038/nmat476610.1038/nmat4766 ↗
29. 10.1038/s41560-017-0044-510.1038/s41560-017-0044-5 ↗
30. 10.1002/anie.20191264210.1002/anie.201912642 ↗
31. 10.1021/jacs.0c1084910.1021/jacs.0c10849 ↗
32. 10.1021/jacs.1c0303910.1021/jacs.1c03039 ↗
33. 10.1021/jacs.2c1268410.1021/jacs.2c12684 ↗
34. 10.1002/anie.20240252610.1002/anie.202402526 ↗
35. 10.1016/j.chempr.2023.08.02610.1016/j.chempr.2023.08.026 ↗
36. 10.1021/jacs.4c1137210.1021/jacs.4c11372 ↗
37. 10.1002/anie.20241986510.1002/anie.202419865 ↗
38. 10.1002/ange.20250032410.1002/ange.202500324 ↗
39. 10.1002/anie.20231838710.1002/anie.202318387 ↗
40. 10.1039/D5SC02794B10.1039/D5SC02794B ↗
41. 10.1039/D1FD00028D10.1039/D1FD00028D ↗
42. 10.1039/D2SC03389E10.1039/D2SC03389E ↗
43. 10.1039/D4SC07025A10.1039/D4SC07025A ↗
44. 10.1002/anie.20231359110.1002/anie.202313591 ↗
45. 10.1002/adfm.20170206710.1002/adfm.201702067 ↗
46. 10.1002/admi.20210030810.1002/admi.202100308 ↗
47. 10.1002/anie.20230311110.1002/anie.202303111 ↗
48. 10.1039/D4TA02069C10.1039/D4TA02069C ↗
49. 10.1039/D5SC01584G10.1039/D5SC01584G ↗
50. 10.1021/jacs.3c0560610.1021/jacs.3c05606 ↗
51. 10.1021/jacs.5c0188110.1021/jacs.5c01881 ↗
52. 10.1073/pnas.230512512010.1073/pnas.2305125120 ↗
53. 10.1002/anie.20210605510.1002/anie.202106055 ↗
54. 10.1021/acsami.0c0535910.1021/acsami.0c05359 ↗
55. 10.1002/anie.20210416710.1002/anie.202104167 ↗
56. 10.1038/nmat360110.1038/nmat3601 ↗
57. 10.1016/j.nanoen.2018.01.04210.1016/j.nanoen.2018.01.042 ↗
58. 10.1021/acs.jpcc.7b1058210.1021/acs.jpcc.7b10582 ↗
59. 10.1038/s41563-024-01816-010.1038/s41563-024-01816-0 ↗
60. 10.1149/1.154394810.1149/1.1543948 ↗
61. 10.1126/sciadv.aaq006610.1126/sciadv.aaq0066 ↗
62. 10.1126/sciadv.adn094410.1126/sciadv.adn0944 ↗
63. 10.1126/science.241.4873.162010.1126/science.241.4873.1620 ↗
64. 10.1021/ed086p134110.1021/ed086p1341 ↗
65. 10.1021/jp410999b10.1021/jp410999b ↗