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Editorial
. 2022 Aug 3:10:973254.
doi: 10.3389/fchem.2022.973254. eCollection 2022.

Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods

Paul Winget  1 , Mathew D Halls  1 , Rafael Gómez-Bombarelli  2 , Chihaya Adachi  3
Affiliations
Editorial

Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods

Paul Winget et al. Front Chem. .
No abstract available

Keywords: OLED (organic light emitting diodes); OPV; TADF; artificial intelligence (AI); machine learning (ML); molecular dynamics; organic optoelectronics; quantum chemistry.

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Conflict of interest statement

Authors PW and MDH were employed by Schrödinger, Inc. RGB was an employee and consultant at Kyulux NA. The remaining author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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