Cargando…
Electronic, redox, and optical property prediction of organic π-conjugated molecules through a hierarchy of machine learning approaches
Accelerating the development of π-conjugated molecules for applications such as energy generation and storage, catalysis, sensing, pharmaceuticals, and (semi)conducting technologies requires rapid and accurate evaluation of the electronic, redox, or optical properties. While high-throughput computat...
Autores principales: | Bhat, Vinayak, Sornberger, Parker, Pokuri, Balaji Sesha Sarath, Duke, Rebekah, Ganapathysubramanian, Baskar, Risko, Chad |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769113/ https://www.ncbi.nlm.nih.gov/pubmed/36605753 http://dx.doi.org/10.1039/d2sc04676h |
Ejemplares similares
-
Data storage architectures to accelerate chemical discovery: data accessibility for individual laboratories and the community
por: Duke, Rebekah, et al.
Publicado: (2022) -
π-Conjugated redox-active two-dimensional polymers as organic cathode materials
por: Jin, Zexin, et al.
Publicado: (2022) -
A unified superatomic-molecule theory for local aromaticity in π-conjugated systems
por: Li, Dan, et al.
Publicado: (2022) -
Nanoscale π-conjugated ladders
por: Meißner, Stefanie A., et al.
Publicado: (2021) -
Nanoscale Crystalline Sheets and Vesicles Assembled from Nonplanar Cyclic π-Conjugated Molecules
por: Tang, Huang, et al.
Publicado: (2019)