Data-Driven Discovery of Organic Electronic Materials Enabled by Hybrid Top-Down/Bottom-Up Design

© 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH.

Bibliographische Detailangaben
Veröffentlicht in:Advanced materials (Deerfield Beach, Fla.). - 1998. - 36(2024), 2 vom: 12. Jan., Seite e2305602
1. Verfasser: Blaskovits, J Terence (VerfasserIn)
Weitere Verfasser: Laplaza, Ruben, Vela, Sergi, Corminboeuf, Clémence
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:Advanced materials (Deerfield Beach, Fla.)
Schlagworte:Journal Article chemical building blocks computational screening donor-acceptor materials singlet fission statistical models
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520 |a The high-throughput exploration and screening of molecules for organic electronics involves either a 'top-down' curation and mining of existing repositories, or a 'bottom-up' assembly of user-defined fragments based on known synthetic templates. Both are time-consuming approaches requiring significant resources to compute electronic properties accurately. Here, 'top-down' is combined with 'bottom-up' through automatic assembly and statistical models, thus providing a platform for the fragment-based discovery of organic electronic materials. This study generates a top-down set of 117K synthesized molecules containing structures, electronic and topological properties and chemical composition, and uses them as building blocks for bottom-up design. A tool is developed to automate the coupling of these building blocks at their C(sp2/sp)-H bonds, providing a fundamental link between the two dataset construction philosophies. Statistical models are trained on this dataset and a subset of resulting top-down/bottom-up compounds, enabling on-the-fly prediction of ground and excited state properties with high accuracy across organic compound space. With access to ab initio-quality optical properties, this bottom-up pipeline may be applied to any materials design campaign using existing compounds as building blocks. To illustrate this, over a million molecules are screened for singlet fission. tThe leading candidates provide insight into the features promoting this multiexciton-generating process 
650 4 |a Journal Article 
650 4 |a chemical building blocks 
650 4 |a computational screening 
650 4 |a donor-acceptor materials 
650 4 |a singlet fission 
650 4 |a statistical models 
700 1 |a Laplaza, Ruben  |e verfasserin  |4 aut 
700 1 |a Vela, Sergi  |e verfasserin  |4 aut 
700 1 |a Corminboeuf, Clémence  |e verfasserin  |4 aut 
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773 1 8 |g volume:36  |g year:2024  |g number:2  |g day:12  |g month:01  |g pages:e2305602 
856 4 0 |u http://dx.doi.org/10.1002/adma.202305602  |3 Volltext 
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