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Identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics

Non-fullerene acceptors (NFAs) are excellent light harvesters, yet the origin of their high optical extinction is not well understood. In this work, we investigate the absorption strength of NFAs by building a database of time-dependent density functional theory (TDDFT) calculations of ∼500 π-conjug...

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Autores principales: Yan, Jun, Rodríguez-Martínez, Xabier, Pearce, Drew, Douglas, Hana, Bili, Danai, Azzouzi, Mohammed, Eisner, Flurin, Virbule, Alise, Rezasoltani, Elham, Belova, Valentina, Dörling, Bernhard, Few, Sheridan, Szumska, Anna A., Hou, Xueyan, Zhang, Guichuan, Yip, Hin-Lap, Campoy-Quiles, Mariano, Nelson, Jenny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277517/
https://www.ncbi.nlm.nih.gov/pubmed/35923416
http://dx.doi.org/10.1039/d2ee00887d
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author Yan, Jun
Rodríguez-Martínez, Xabier
Pearce, Drew
Douglas, Hana
Bili, Danai
Azzouzi, Mohammed
Eisner, Flurin
Virbule, Alise
Rezasoltani, Elham
Belova, Valentina
Dörling, Bernhard
Few, Sheridan
Szumska, Anna A.
Hou, Xueyan
Zhang, Guichuan
Yip, Hin-Lap
Campoy-Quiles, Mariano
Nelson, Jenny
author_facet Yan, Jun
Rodríguez-Martínez, Xabier
Pearce, Drew
Douglas, Hana
Bili, Danai
Azzouzi, Mohammed
Eisner, Flurin
Virbule, Alise
Rezasoltani, Elham
Belova, Valentina
Dörling, Bernhard
Few, Sheridan
Szumska, Anna A.
Hou, Xueyan
Zhang, Guichuan
Yip, Hin-Lap
Campoy-Quiles, Mariano
Nelson, Jenny
author_sort Yan, Jun
collection PubMed
description Non-fullerene acceptors (NFAs) are excellent light harvesters, yet the origin of their high optical extinction is not well understood. In this work, we investigate the absorption strength of NFAs by building a database of time-dependent density functional theory (TDDFT) calculations of ∼500 π-conjugated molecules. The calculations are first validated by comparison with experimental measurements in solution and solid state using common fullerene and non-fullerene acceptors. We find that the molar extinction coefficient (ε(d,max)) shows reasonable agreement between calculation in vacuum and experiment for molecules in solution, highlighting the effectiveness of TDDFT for predicting optical properties of organic π-conjugated molecules. We then perform a statistical analysis based on molecular descriptors to identify which features are important in defining the absorption strength. This allows us to identify structural features that are correlated with high absorption strength in NFAs and could be used to guide molecular design: highly absorbing NFAs should possess a planar, linear, and fully conjugated molecular backbone with highly polarisable heteroatoms. We then exploit a random decision forest algorithm to draw predictions for ε(d,max) using a computational framework based on extended tight-binding Hamiltonians, which shows reasonable predicting accuracy with lower computational cost than TDDFT. This work provides a general understanding of the relationship between molecular structure and absorption strength in π-conjugated organic molecules, including NFAs, while introducing predictive machine-learning models of low computational cost.
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spelling pubmed-92775172022-08-01 Identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics Yan, Jun Rodríguez-Martínez, Xabier Pearce, Drew Douglas, Hana Bili, Danai Azzouzi, Mohammed Eisner, Flurin Virbule, Alise Rezasoltani, Elham Belova, Valentina Dörling, Bernhard Few, Sheridan Szumska, Anna A. Hou, Xueyan Zhang, Guichuan Yip, Hin-Lap Campoy-Quiles, Mariano Nelson, Jenny Energy Environ Sci Chemistry Non-fullerene acceptors (NFAs) are excellent light harvesters, yet the origin of their high optical extinction is not well understood. In this work, we investigate the absorption strength of NFAs by building a database of time-dependent density functional theory (TDDFT) calculations of ∼500 π-conjugated molecules. The calculations are first validated by comparison with experimental measurements in solution and solid state using common fullerene and non-fullerene acceptors. We find that the molar extinction coefficient (ε(d,max)) shows reasonable agreement between calculation in vacuum and experiment for molecules in solution, highlighting the effectiveness of TDDFT for predicting optical properties of organic π-conjugated molecules. We then perform a statistical analysis based on molecular descriptors to identify which features are important in defining the absorption strength. This allows us to identify structural features that are correlated with high absorption strength in NFAs and could be used to guide molecular design: highly absorbing NFAs should possess a planar, linear, and fully conjugated molecular backbone with highly polarisable heteroatoms. We then exploit a random decision forest algorithm to draw predictions for ε(d,max) using a computational framework based on extended tight-binding Hamiltonians, which shows reasonable predicting accuracy with lower computational cost than TDDFT. This work provides a general understanding of the relationship between molecular structure and absorption strength in π-conjugated organic molecules, including NFAs, while introducing predictive machine-learning models of low computational cost. The Royal Society of Chemistry 2022-05-20 /pmc/articles/PMC9277517/ /pubmed/35923416 http://dx.doi.org/10.1039/d2ee00887d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Yan, Jun
Rodríguez-Martínez, Xabier
Pearce, Drew
Douglas, Hana
Bili, Danai
Azzouzi, Mohammed
Eisner, Flurin
Virbule, Alise
Rezasoltani, Elham
Belova, Valentina
Dörling, Bernhard
Few, Sheridan
Szumska, Anna A.
Hou, Xueyan
Zhang, Guichuan
Yip, Hin-Lap
Campoy-Quiles, Mariano
Nelson, Jenny
Identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics
title Identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics
title_full Identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics
title_fullStr Identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics
title_full_unstemmed Identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics
title_short Identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics
title_sort identifying structure–absorption relationships and predicting absorption strength of non-fullerene acceptors for organic photovoltaics
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9277517/
https://www.ncbi.nlm.nih.gov/pubmed/35923416
http://dx.doi.org/10.1039/d2ee00887d
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