Active discovery of organic semiconductors

Existing methods for organic semiconductor computational screening are limited by the computational demand of the process, leading to the identification of non-optimal material candidates. Here, the authors report machine learning method to guide the discovery of organic semiconductors.

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Autores principales: Christian Kunkel, Johannes T. Margraf, Ke Chen, Harald Oberhofer, Karsten Reuter
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/17214865234d479bbb2f2a156defa811
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