Cargando…
Editorial: Driving Innovation in Organic Optoelectronic Materials With Physics-Based and Machine-Learning De Novo Methods
Autores principales: | Winget, Paul, Halls, Mathew D., Gómez-Bombarelli, Rafael, Adachi, Chihaya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
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 |
Ejemplares similares
-
Active Learning Accelerates Design and Optimization of Hole-Transporting Materials for Organic Electronics
por: Abroshan, Hadi, et al.
Publicado: (2022) -
Editorial: Recent Advances in Thermally Activated Delayed Fluorescence Materials
por: Adachi, Chihaya, et al.
Publicado: (2020) -
Editorial: Critical role of spectroscopic analysis for the development of π-conjugated materials for optoelectronics
por: Ma, Ji, et al.
Publicado: (2023) -
Editorial: Recent Advances in Micro-Nanostructured Optoelectronic Devices
por: Liu, Yue-Feng, et al.
Publicado: (2022) -
Molecular Design Based on Donor-Weak Donor Scaffold for Blue Thermally-Activated Delayed Fluorescence Designed by Combinatorial DFT Calculations
por: Tsuchiya, Youichi, et al.
Publicado: (2020)