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Active discovery of organic semiconductors

Authors :
Christian Kunkel
Johannes T. Margraf
Ke Chen
Harald Oberhofer
Karsten Reuter
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.17214865234d479bbb2f2a156defa811
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-22611-4