journal article·2020-04-22

Carbonyl Bridge-Based p−π Conjugated Polymers as High-Performance Electrodes of Organic Lithium-Ion Batteries

Yunfei Zu, Ye Xu, Lijiao Ma, Qian Kang, Huifeng Yao, Jianhui Hou

ACS Applied Materials & Interfaces· Volume 12· Issue 16
Publisher page

Abstract

Organic redox compounds have shown promising potential as electrode materials for lithium-ion batteries. Polymerization is an effective and feasible method to prevent rapid capacity decay. However, present conjugated polymers and nonconjugated polymers have their own limitations to constructing stable and high-performance electrodes. Herein, we report a novel polyimide NDI-O, which is connected by carbonyl bridges. The NDI-O is a p−π conjugated polymer that exhibits a high gravimetric energy density of 542 W h kg–1 and an ultrahigh power density of 14,000 W kg–1 due to its intriguing electronic properties. The combination of molecular electrostatic potential calculations and ex situ technologies reveals the lithium-ion storage mechanism during the charge and discharge processes. The orbital distribution calculations and electrochemical impedance spectroscopy tests have been shown to verify the excellent kinetic properties of NDI-O. This work expands the scope of polymers applied for LIBs and provides new methods to construct high-performance electrode materials for sustainable batteries.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Conducting polymers and applications

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

Affiliations

State Key Laboratory of Polymer Physics and Chemistry, Beijing National Laboratory for Molecular, Sciences CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry Chinese Academy of Sciences, Beijing 100190, P. R. China

University of Chinese Academy of Sciences, Beijing 100049, P. R. China

Funding

Youth Innovation Promotion Association of the Chinese Academy of Sciences · National Natural Science Foundation of China · Chinese Academy of Sciences · Beijing National Laboratory for Molecular Sciences

References (60)

Show source-provided references
1. 10.1021/acs.chemrev.6b0007010.1021/acs.chemrev.6b00070 ↗
2. 10.1038/nmat237210.1038/nmat2372 ↗
3. 10.1038/nmat491910.1038/nmat4919 ↗
4. 10.1039/C7CS00569E10.1039/C7CS00569E ↗
5. 10.1002/aenm.20110079510.1002/aenm.201100795 ↗
6. 10.1002/adma.20160700710.1002/adma.201607007 ↗
7. 10.1002/adma.20150232910.1002/adma.201502329 ↗
8. 10.1002/adma.20130500510.1002/adma.201305005 ↗
9. 10.1002/aenm.20180298610.1002/aenm.201802986 ↗
10. 10.1002/anie.20190104010.1002/anie.201901040 ↗
11. 10.1002/anie.20180659610.1002/anie.201806596 ↗
12. 10.1002/anie.20171342310.1002/anie.201713423 ↗
13. 10.1016/j.joule.2018.01.01710.1016/j.joule.2018.01.017 ↗
14. 10.1002/adfm.20180559610.1002/adfm.201805596 ↗
15. 10.1002/adma.20170649810.1002/adma.201706498 ↗
16. 10.1002/aenm.20180101010.1002/aenm.201801010 ↗
17. 10.1002/aenm.20120094710.1002/aenm.201200947 ↗
18. 10.1002/adma.20060258410.1002/adma.200602584 ↗
19. 10.1002/anie.20190218510.1002/anie.201902185 ↗
20. 10.1002/anie.20180554010.1002/anie.201805540 ↗
21. 10.1002/anie.20170660410.1002/anie.201706604 ↗
22. 10.1002/anie.20160719410.1002/anie.201607194 ↗
23. 10.1039/C5EE01832C10.1039/C5EE01832C ↗
24. 10.1038/ncomms633510.1038/ncomms6335 ↗
25. 10.1038/s41467-018-06708-x10.1038/s41467-018-06708-x ↗
26. 10.1038/s41467-018-02889-710.1038/s41467-018-02889-7 ↗
27. 10.1039/C7TA03484A10.1039/C7TA03484A ↗
28. 10.1021/acs.iecr.6b0146210.1021/acs.iecr.6b01462 ↗
29. 10.1016/j.mtener.2019.06.00210.1016/j.mtener.2019.06.002 ↗
30. 10.1002/aenm.20140218910.1002/aenm.201402189 ↗
31. 10.1002/anie.20140240210.1002/anie.201402402 ↗
32. 10.1002/anie.20100243910.1002/anie.201002439 ↗
33. 10.1002/anie.20160111910.1002/anie.201601119 ↗
34. 10.1039/C5CC04229A10.1039/C5CC04229A ↗
35. 10.1016/j.cclet.2017.09.00510.1016/j.cclet.2017.09.005 ↗
36. 10.1039/C6TA03956A10.1039/C6TA03956A ↗
37. 10.1039/C6TA07606H10.1039/C6TA07606H ↗
38. 10.1039/C4TA06058J10.1039/C4TA06058J ↗
39. 10.1038/s41560-017-0044-510.1038/s41560-017-0044-5 ↗
40. 10.1016/j.chempr.2018.08.01410.1016/j.chempr.2018.08.014 ↗
41. 10.1039/C1EE02148F10.1039/C1EE02148F ↗
42. 10.1039/C7EE01473B10.1039/C7EE01473B ↗
43. 10.1002/aenm.20170096010.1002/aenm.201700960 ↗
44. 10.1002/adma.20120311910.1002/adma.201203119 ↗
45. 10.1021/acsami.6b0759110.1021/acsami.6b07591 ↗
46. 10.1021/am506095910.1021/am5060959 ↗
47. 10.1021/ja026689k10.1021/ja026689k ↗
48. 10.1002/anie.20171259810.1002/anie.201712598 ↗
49. 10.1021/jz401735910.1021/jz4017359 ↗
50. 10.1016/j.nanoen.2017.04.05510.1016/j.nanoen.2017.04.055 ↗
51. 10.1021/cm503800r10.1021/cm503800r ↗
52. 10.1002/anie.20140513910.1002/anie.201405139 ↗
53. 10.1126/sciadv.150033010.1126/sciadv.1500330 ↗
54. 10.1021/jacs.8b1293710.1021/jacs.8b12937 ↗
55. 10.1021/acs.jpclett.8b0112310.1021/acs.jpclett.8b01123 ↗
56. 10.1016/j.elecom.2018.03.00610.1016/j.elecom.2018.03.006 ↗
57. 10.1039/C9TA07546A10.1039/C9TA07546A ↗
58. Gaussian 09 Revision A.02; Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Petersson, G. A.; Nakatsuji, H.; Li, X.; Marenich, A.; Bloino, J.; Janesko, B. G.; Gomperts, R.; Mennucci, B.; Hratchian, H. P.; Ortiz, J. V.; Izmaylov, A. F.; Sonnenberg, J. L.; Williams-Young, D.; Ding, F.; Lipaparini, F.; Egidi, F.; Goings, J.; Peng, B.; Petrone, A.; Henderson, T.; Ranasinghe, D.; Zakrzewski, V. G.; Gao, J.; Rega, N.; Zheng, G.; Liang, W.; Hada, M.; Ehara, M.; Toyota, K.; Fukuda, R.; Hasegawa, J.; Ishida, M.; Nakajima, T.; Honda, Y.; Kitao, O.; Nakai, H.; Vreven, T.; Throssell, K.; Montgomery, J. A., Jr.; Peralta, J. E.; Ogliaro, F.; Bearpark, M.; Heyd, J. J.; Brothers, E.; Kudin, K. N.; Staroverov, V. N.; Keith, T.; Kobayashi, R.; Normand, J.; Raghavachari, K.; Rendell, A.; Burant, J. C.; Iyengar, S. S.; Tomasi, J.; Cossi, M.; Millam, J. M.; Klene, M.; Adamo, C.; Cammi, R.; Ochterski, J. W.; Martin, R. L.; Morokuma, K.; Farkas, Ö.; Foresman, J. B.; Fox, D. J. Gaussian, Inc.: Wallingford CT, 2016.
59. 10.1002/jcc.2288510.1002/jcc.22885 ↗
60. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗