A new protocol for the identification of singlet fission sensitizers through computational screening
A new protocol for the identification of singlet fission sensitizers through computational screening
Although singlet fission presents deep advantages or the generation of solar energy, the list of efficient singlet fission sensitizers is still very short, encouraging the theoreticians to focus their efforts on selecting and designing new candidates. Here, it is presented a computational protocol for the efficient screening of databases to select those species matching the energy requirements for singlet fission. Hence, out of the initial 29,123 species, 254 molecules (0.87%) were found to match singlet fission energy conditions. The consideration of practical concerns such as availability or stability reduced the number to just 24 (0.08%), among which the aminoanthraquinone derivatives are found particularly promising. The proposed protocol correct the deficiencies of the preceding ones, reaching DFT accuracy and minimizing the risk of getting false negatives especially at the early stages of the screening. In addition, this protocol can be used in future high-throughput investigations using datasets composed of millions of species.
DFT, high throughput, screening, singlet fission
2241-2249
López-Carballeira, Diego
842c20b7-b117-47fc-909d-35a19046a45d
Polcar, Tomáš
c669b663-3ba9-4e7b-9f97-8ef5655ac6d2
5 December 2021
López-Carballeira, Diego
842c20b7-b117-47fc-909d-35a19046a45d
Polcar, Tomáš
c669b663-3ba9-4e7b-9f97-8ef5655ac6d2
López-Carballeira, Diego and Polcar, Tomáš
(2021)
A new protocol for the identification of singlet fission sensitizers through computational screening.
Journal of Computational Chemistry, 42 (31), .
(doi:10.1002/jcc.26753).
Abstract
Although singlet fission presents deep advantages or the generation of solar energy, the list of efficient singlet fission sensitizers is still very short, encouraging the theoreticians to focus their efforts on selecting and designing new candidates. Here, it is presented a computational protocol for the efficient screening of databases to select those species matching the energy requirements for singlet fission. Hence, out of the initial 29,123 species, 254 molecules (0.87%) were found to match singlet fission energy conditions. The consideration of practical concerns such as availability or stability reduced the number to just 24 (0.08%), among which the aminoanthraquinone derivatives are found particularly promising. The proposed protocol correct the deficiencies of the preceding ones, reaching DFT accuracy and minimizing the risk of getting false negatives especially at the early stages of the screening. In addition, this protocol can be used in future high-throughput investigations using datasets composed of millions of species.
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More information
Accepted/In Press date: 15 September 2021
e-pub ahead of print date: 30 September 2021
Published date: 5 December 2021
Additional Information:
Funding Information:
This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e‐INFRA CZ (ID: 90140). We also acknowledge support from the Ministry of Education, Youth and Sport of the Czech Republic (project CZ.02.1.01/0.0/0.0/15_003/0000464).
Publisher Copyright:
© 2021 Wiley Periodicals LLC.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Keywords:
DFT, high throughput, screening, singlet fission
Identifiers
Local EPrints ID: 474843
URI: http://eprints.soton.ac.uk/id/eprint/474843
ISSN: 0192-8651
PURE UUID: fddace6b-ae8a-4589-b28f-a4bab3717f2e
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Date deposited: 03 Mar 2023 17:45
Last modified: 06 Jun 2024 01:49
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Author:
Diego López-Carballeira
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