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Active discovery of organic semiconductors
- 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 :
- Science
Subjects
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