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Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382097/ https://www.ncbi.nlm.nih.gov/pubmed/35991615 http://dx.doi.org/10.3389/fchem.2022.973254 |
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| author | Winget, Paul Halls, Mathew D. Gómez-Bombarelli, Rafael Adachi, Chihaya |
| author_facet | Winget, Paul Halls, Mathew D. Gómez-Bombarelli, Rafael Adachi, Chihaya |
| author_sort | Winget, Paul |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9382097 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Frontiers Media S.A. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-93820972022-08-18 Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods Winget, Paul Halls, Mathew D. Gómez-Bombarelli, Rafael Adachi, Chihaya Front Chem Chemistry Frontiers Media S.A. 2022-08-03 /pmc/articles/PMC9382097/ /pubmed/35991615 http://dx.doi.org/10.3389/fchem.2022.973254 Text en Copyright © 2022 Winget, Halls, Gómez-Bombarelli and Adachi. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| spellingShingle | Chemistry Winget, Paul Halls, Mathew D. Gómez-Bombarelli, Rafael Adachi, Chihaya Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods |
| title | Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods |
| title_full | Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods |
| title_fullStr | Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods |
| title_full_unstemmed | Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods |
| title_short | Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods |
| title_sort | editorial: driving innovation in organic optoelectronic materials with physics-based and machine-learning de novo methods |
| topic | Chemistry |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9382097/ https://www.ncbi.nlm.nih.gov/pubmed/35991615 http://dx.doi.org/10.3389/fchem.2022.973254 |
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