journal article·2023-03Open access

Triplet Excitons and Associated Efficiency‐Limiting Pathways in Organic Solar Cell Blends Based on (Non‐) Halogenated PBDB‐T and Y‐Series

Jeannine Grüne, Giacomo Londi, Alexander J. Gillett, Basil Stähly, Sebastian Lulei, Maria Kotova, Yoann Olivier, Vladimir Dyakonov, Andreas Sperlich

Advanced Functional Materials· Volume 33· Issue 12

Abstract

Abstract The great progress in organic photovoltaics (OPV) over the past few years has been largely achieved by the development of non‐fullerene acceptors (NFAs), with power conversion efficiencies now approaching 20%. To further improve device performance, loss mechanisms must be identified and minimized. Triplet states are known to adversely affect device performance, since they can form energetically trapped excitons on low‐lying states that are responsible for non‐radiative losses or even device degradation. Halogenation of OPV materials has long been employed to tailor energy levels and to enhance open circuit voltage. Yet, the influence on recombination to triplet excitons has been largely unexplored. Using the complementary spin‐sensitive methods of photoluminescence detected magnetic resonance and transient electron paramagnetic resonance corroborated by transient absorption and quantum‐chemical calculations, exciton pathways in OPV blends are unravelled employing the polymer donors PBDB‐T, PM6, and PM7 together with NFAs Y6 and Y7. All blends reveal triplet excitons on the NFA populated via non‐geminate hole back transfer and, in blends with halogenated donors, also by spin‐orbit coupling driven intersystem crossing. Identifying these triplet formation pathways in all tested solar cell absorber films highlights the untapped potential for improved charge generation to further increase plateauing OPV efficiencies.
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Research context

OpenAlex topics: Organic Electronics and Photovoltaics · Organic Light-Emitting Diodes Research · Conducting polymers and applications

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

Affiliations

Experimental Physics 6 Julius Maximilian University of Würzburg Am Hubland 97074 Würzburg Germany

Cavendish Laboratory University of Cambridge JJ Thomson Avenue Cambridge UK

Laboratory for Computational Modeling of Functional Materials Namur Institute of Structured Matter University of Namur Rue de Bruxelles, 61 5000 Namur Belgium

Funding

Engineering and Physical Sciences Research Council

References (84)

Show source-provided references
1. 10.1002/adma.20140431710.1002/adma.201404317 ↗
2. 10.1002/adma.20210242010.1002/adma.202102420 ↗
3. 10.1038/s41586-021-03840-510.1038/s41586-021-03840-5 ↗
4. 10.1016/j.joule.2021.04.00210.1016/j.joule.2021.04.002 ↗
5. 10.1039/D1MA00293G10.1039/D1MA00293G ↗
6. 10.1002/aenm.20170085510.1002/aenm.201700855 ↗
7. 10.1002/aenm.20180045110.1002/aenm.201800451 ↗
8. 10.1063/1.173603410.1063/1.1736034 ↗
9. 10.1103/PhysRevB.76.08530310.1103/PhysRevB.76.085303 ↗
10. 10.1039/D0CS00084A10.1039/D0CS00084A ↗
11. 10.1038/s41563-020-00835-x10.1038/s41563-020-00835-x ↗
12. 10.1038/ncomms741510.1038/ncomms7415 ↗
13. 10.1103/PhysRevB.71.12521210.1103/PhysRevB.71.125212 ↗
14. 10.1038/s41467-020-20601-610.1038/s41467-020-20601-6 ↗
15. 10.1016/0379-6779(96)80150-010.1016/0379-6779(96)80150-0 ↗
16. 10.1021/acs.jpcc.7b0821710.1021/acs.jpcc.7b08217 ↗
17. 10.1038/nature1233910.1038/nature12339 ↗
18. 10.1103/PhysRevB.72.04521310.1103/PhysRevB.72.045213 ↗
19. 10.1016/0301-0104(94)00340-810.1016/0301-0104(94)00340-8 ↗
20. 10.1002/adma.20190421510.1002/adma.201904215 ↗
21. 10.1021/acs.macromol.0c0045910.1021/acs.macromol.0c00459 ↗
22. 10.1002/anie.20210262210.1002/anie.202102622 ↗
23. 10.1039/C7TC04181K10.1039/C7TC04181K ↗
24. 10.1002/asia.20190079510.1002/asia.201900795 ↗
25. 10.1039/D0MH00286K10.1039/D0MH00286K ↗
26. 10.1039/D1MH00999K10.1039/D1MH00999K ↗
27. 10.1002/aenm.20200209510.1002/aenm.202002095 ↗
28. 10.1038/srep2915810.1038/srep29158 ↗
29. 10.1002/aenm.20210394410.1002/aenm.202103944 ↗
30. Goovaerts E. · eMagRes · 2007 · 6 · 343
31. 10.1002/adom.20160092610.1002/adom.201600926 ↗
32. 10.3389/fchem.2019.0001010.3389/fchem.2019.00010 ↗
33. Weber S. · eMagRes · 2007 · 6 · 255
34. 10.1016/j.jmr.2017.01.00510.1016/j.jmr.2017.01.005 ↗
35. 10.1002/1521-3927(20020301)23:4<227::AID-MARC227>3.0.CO;2-D10.1002/1521-3927(20020301)23:4<227::AID-MARC227>3.0.CO;2-D ↗
36. 10.1021/ja00360a00510.1021/ja00360a005 ↗
37. 10.1002/eem2.1222610.1002/eem2.12226 ↗
38. 10.1021/jacs.9b0146510.1021/jacs.9b01465 ↗
39. 10.1016/j.jmr.2005.08.01310.1016/j.jmr.2005.08.013 ↗
40. 10.1103/PhysRevB.68.12520210.1103/PhysRevB.68.125202 ↗
41. 10.1002/lpor.20110002610.1002/lpor.201100026 ↗
42. 10.1002/solr.20190006310.1002/solr.201900063 ↗
43. Y.Wang A.Privitera G.Londi A.Sneyd D.Qian Y.Olivier L.Sorace D.Beljonne Z.Li A.Gillett arXiV preprint arXiv:2112.09562 2021.
44. 10.1021/jacs.0c0489010.1021/jacs.0c04890 ↗
45. 10.1103/PhysRevLett.94.13740310.1103/PhysRevLett.94.137403 ↗
46. 10.1038/s41467-021-21719-x10.1038/s41467-021-21719-x ↗
47. 10.1103/PhysRevB.91.08530910.1103/PhysRevB.91.085309 ↗
48. 10.1002/anie.20150224110.1002/anie.201502241 ↗
49. 10.1002/aenm.20190423410.1002/aenm.201904234 ↗
50. 10.1038/s41467-020-17867-110.1038/s41467-020-17867-1 ↗
51. 10.1021/acsami.0c1638910.1021/acsami.0c16389 ↗
52. 10.1016/j.joule.2019.01.00410.1016/j.joule.2019.01.004 ↗
53. 10.1002/adma.20190386810.1002/adma.201903868 ↗
54. 10.1038/nphoton.2015.8410.1038/nphoton.2015.84 ↗
55. 10.1021/jacs.6b1001010.1021/jacs.6b10010 ↗
56. 10.1016/j.cplett.2013.10.04810.1016/j.cplett.2013.10.048 ↗
57. 10.1021/acs.jpcc.5b0734010.1021/acs.jpcc.5b07340 ↗
58. 10.1038/s41467-021-26689-810.1038/s41467-021-26689-8 ↗
59. 10.1021/jp010187w10.1021/jp010187w ↗
60. 10.1021/acs.jpclett.8b0155610.1021/acs.jpclett.8b01556 ↗
61. 10.1039/D0EE01896A10.1039/D0EE01896A ↗
62. 10.1002/anie.20200608110.1002/anie.202006081 ↗
63. 10.1007/s11426-019-9669-310.1007/s11426-019-9669-3 ↗
64. 10.1038/s41467-020-14549-w10.1038/s41467-020-14549-w ↗
65. 10.1039/D1EE03565G10.1039/D1EE03565G ↗
66. 10.1002/adma.20210083010.1002/adma.202100830 ↗
67. 10.1039/D0EE01338B10.1039/D0EE01338B ↗
68. 10.1103/PhysRevLett.109.22640510.1103/PhysRevLett.109.226405 ↗
69. 10.1016/S0009-2614(99)01149-510.1016/S0009-2614(99)01149-5 ↗
70. 10.1021/cr60240a00410.1021/cr60240a004 ↗
71. 10.1021/ar50001a00210.1021/ar50001a002 ↗
72. 10.1002/adma.20200097510.1002/adma.202000975 ↗
73. 10.1002/solr.20200078910.1002/solr.202000789 ↗
74. 10.1021/acsnano.6b0621110.1021/acsnano.6b06211 ↗
75. 10.1038/s41467-018-05298-y10.1038/s41467-018-05298-y ↗
76. 10.1039/C9TA02243K10.1039/C9TA02243K ↗
77. 10.1016/j.nanoen.2018.04.00210.1016/j.nanoen.2018.04.002 ↗
78. 10.1002/solr.20200025010.1002/solr.202000250 ↗
79. 10.1021/acs.jpclett.8b0324710.1021/acs.jpclett.8b03247 ↗
80. 10.1002/adma.20170426310.1002/adma.201704263 ↗
81. 10.1002/adma.20080128310.1002/adma.200801283 ↗
82. 10.1021/acs.jpclett.1c0121410.1021/acs.jpclett.1c01214 ↗
83. 10.1021/acs.jctc.6b0091510.1021/acs.jctc.6b00915 ↗
84. M. J.Frisch G. W.Trucks H. B.Schlegel G. E.Scuseria M. A.Robb J. R.Cheeseman G.Scalmani V.Barone G. A.Petersson H.Nakatsuji X.Li M.Caricato A. V.Marenich J.Bloino B. G.Janesko R.Gomperts B.Mennucci H. P.Hratchian J. V.Ortiz A. F.Izmaylov J. L.Sonnenberg Williams F. D. F.Lipparini F.Egidi J.Goings B.Peng A.Petrone T.Henderson D.Ranasinghe et al. Gaussian Inc. Wallingford CT 2016.