Machine learning–assisted molecular design and efficiency prediction for high-performance organic photovoltaic materials

In the process of finding high-performance materials for organic photovoltaics (OPVs), it is meaningful if one can establish the relationship between chemical structures and photovoltaic properties even before synthesizing them. Here, we first establish a database containing over 1700 donor material...

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Detalles Bibliográficos
Autores principales: Sun, Wenbo, Zheng, Yujie, Yang, Ke, Zhang, Qi, Shah, Akeel A., Wu, Zhou, Sun, Yuyang, Feng, Liang, Chen, Dongyang, Xiao, Zeyun, Lu, Shirong, Li, Yong, Sun, Kuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2019
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839938/
https://www.ncbi.nlm.nih.gov/pubmed/31723607
http://dx.doi.org/10.1126/sciadv.aay4275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6839938/
https://www.ncbi.nlm.nih.gov/pubmed/31723607
http://dx.doi.org/10.1126/sciadv.aay4275

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