External electric field control of charge transport in Y-shaped and linear non-fullerene acceptors
Source abstract
Abstract
Density functional theory coupled with machine learning reveals the EEF-dependent charge transport behavior in non-fullerene acceptors, highlighting how molecular architecture influences charge mobility and stability in organic photovoltaics.
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Electrohydrodynamics and Fluid Dynamics · Analytical Chemistry and Sensors · Sensor Technology and Measurement Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemistry, College of Sciences, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
State Key Laboratory of Biobased Fiber Manufacturing Technology, Tianjin University of Science & Technology, Tianjin 300457, P. R. China
Beijing Key Laboratory for Optical Materials and Photonic Devices, Department of Chemistry, Capital Normal University, Beijing, 100048, P. R. China
School of Science and Molecular Horizons, ARC Centre of Excellence in Quantum Biotechnology, University of Wollongong, NSW 2522, Australia
College of Chemical Engineering and Materials Science, Tianjin University of Science and Technology, Tianjin 300457, P. R. China
Funding
National Natural Science Foundation of China
References (50)
Show source-provided references
1. Chen · Nat. Commun. · 2024 · 15 · 686510.1038/s41467-024-51359-w ↗
2. Fu · Nat. Commun. · 2024 · 15 · 183010.1038/s41467-024-46022-3 ↗
3. Jiang · Nat. Energy · 2024 · 9 · 97510.1038/s41560-024-01557-z ↗
4. Li · Nat. Mater. · 2025 · 24 · 43310.1038/s41563-024-02087-5 ↗
5. Yuan · Joule · 2019 · 3 · 114010.1016/j.joule.2019.01.004 ↗
6. Yuan · Nat. Commun. · 2019 · 10 · 57010.1038/s41467-019-08386-9 ↗
7. Cui · Adv. Mater. · 2021 · 33 · e210242010.1002/adma.202102420 ↗
8. Wei · Adv. Mater. · 2022 · 34 · e220471810.1002/adma.202204718 ↗
9. Zhu · Nat. Rev. Electr. Eng. · 2024 · 1 · 58110.1038/s44287-024-00080-3 ↗
10. Zhang · Adv. Funct. Mater. · 2024 · 34 · 240606610.1002/adfm.202406066 ↗
11. Liu · Chem. Eng. J. · 2025 · 508 · 16103710.1016/j.cej.2025.161037 ↗
12. Jiang · Energy Environ. Sci. · 2021 · 14 · 394510.1039/D1EE00496D ↗
13. Zhang · Nano Energy · 2017 · 41 · 60910.1016/j.nanoen.2017.10.014 ↗
14. Janjua · Energy Fuels · 2021 · 35 · 1246110.1021/acs.energyfuels.1c01625 ↗
15. Gao · Appl. Phys. Lett. · 2020 · 117 · 16330110.1063/5.0025607 ↗
16. Molina-Lopez · Adv. Funct. Mater. · 2017 · 27 · 160550310.1002/adfm.201605503 ↗
17. Vijayan · Sol. RRL · 2019 · 3 · 190012010.1002/solr.201900120 ↗
18. Lin · Energy Environ. Sci. · 2011 · 4 · 213410.1039/c1ee01183a ↗
19. Ren · J. Phys. Chem. C · 2022 · 126 · 1131810.1021/acs.jpcc.2c01907 ↗
20. Sancho-García · J. Chem. Phys. · 2003 · 119 · 1256310.1063/1.1625918 ↗
21. Qin · Chem. Sci. · 2024 · 15 · 440310.1039/D3SC06728A ↗
22. Lu · J. Mater. Chem. A · 2021 · 9 · 2104410.1039/D1TA05762F ↗
23. Chen · Chem. Eng. J. · 2024 · 485 · 14953610.1016/j.cej.2024.149536 ↗
24. Zhao · J. Am. Chem. Soc. · 2017 · 139 · 714810.1021/jacs.7b02677 ↗
25. Sahu · J. Mater. Chem. A · 2019 · 7 · 1748010.1039/C9TA04097H ↗
26. Mubashir · J. Photochem. Photobiol., A · 2023 · 444 · 11497710.1016/j.jphotochem.2023.114977 ↗
27. Mahmood · Mater. Today Commun. · 2024 · 38 · 10840310.1016/j.mtcomm.2024.108403 ↗
28. Tan · J. Chem. Phys. · 2023 · 158 · 09410210.1063/5.0134379 ↗
29. Gagliardi · J. Phys. Chem. C · 2020 · 124 · 1773310.1021/acs.jpcc.0c04355 ↗
30. Marcus · Rev. Mod. Phys. · 1993 · 65 · 59910.1103/RevModPhys.65.599 ↗
31. Swick · Proc. Natl. Acad. Sci. U. S. A. · 2018 · 115 · E834110.1073/pnas.1807535115 ↗
32. Coropceanu · Chem. Rev. · 2007 · 107 · 92610.1021/cr050140x ↗
33. Umar · J. Phys. Chem. Solids · 2022 · 169 · 11085910.1016/j.jpcs.2022.110859 ↗
34. Jun · J. Ind. Eng. Chem. · 2022 · 107 · 13710.1016/j.jiec.2021.11.042 ↗
35. Kupgan · Mater. Today Adv. · 2021 · 11 · 10015410.1016/j.mtadv.2021.100154 ↗
36. Zhu · Adv. Energy Mater. · 2020 · 10 · 190423410.1002/aenm.201904234 ↗
37. Zhu · J. Am. Chem. Soc. · 2020 · 142 · 1453210.1021/jacs.0c05560 ↗
38. Xu · Adv. Mater. · 2025 · 37 · e240711910.1002/adma.202407119 ↗
39. Haroon · J. Phys. Org. Chem. · 2022 · 35 · e431410.1002/poc.4314 ↗
40. Khatua · J. Mater. Chem. C · 2024 · 12 · 762710.1039/D4TC00386A ↗
41. Ding · Adv. Mater. · 2025 · 37 · e241408010.1002/adma.202414080 ↗
42. Yuan · Adv. Mater. · 2019 · 31 · e180757710.1002/adma.201807577 ↗
43. Usman Khan · J. Photochem. Photobiol., A · 2024 · 446 · 11511510.1016/j.jphotochem.2023.115115 ↗
44. Friedman · Ann. Stat. · 2001 · 29 · 118910.1214/aos/1013203451 ↗
45. Aroquaux · J. Mach. Learn. Res. · 2011 · 12 · 2825
46. C.Saunders , A.Gammerman and V.Vovk , Proc. Of the 15th International Conference on Machine Learning (ICML98) , Madison-Wisconsin , 1998 , pp. 515–521
47. Geurts · Mach. Learn. · 2006 · 63 · 310.1007/s10994-006-6226-1 ↗
48. Breiman · Mach. Learn. · 2001 · 45 · 510.1023/A:1010933404324 ↗
49. Kotsiantis · Artif. Intell. Rev. · 2011 · 39 · 26110.1007/s10462-011-9272-4 ↗
50. Chen · Nat. Mach. Intell. · 2023 · 5 · 59010.1038/s42256-023-00657-x ↗