Cargando…
Bayesian molecular design with a chemical language model
The aim of computational molecular design is the identification of promising hypothetical molecules with a predefined set of desired properties. We address the issue of accelerating the material discovery with state-of-the-art machine learning techniques. The method involves two different types of p...
Autores principales: | Ikebata, Hisaki, Hongo, Kenta, Isomura, Tetsu, Maezono, Ryo, Yoshida, Ryo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5393296/ https://www.ncbi.nlm.nih.gov/pubmed/28281211 http://dx.doi.org/10.1007/s10822-016-0008-z |
Ejemplares similares
-
Repulsive parallel MCMC algorithm for discovering diverse motifs from large sequence sets
por: Ikebata, Hisaki, et al.
Publicado: (2015) -
Synergy of Binary Substitutions for Improving the
Cycle Performance in LiNiO(2) Revealed by Ab Initio Materials
Informatics
por: Yoshida, Tomohiro, et al.
Publicado: (2020) -
Toward Chemical Accuracy Using the Jastrow Correlated
Antisymmetrized Geminal Power Ansatz
por: Raghav, Abhishek, et al.
Publicado: (2023) -
Phonon dispersions and Fermi surfaces nesting explaining the variety of charge ordering in titanium-oxypnictides superconductors
por: Nakano, Kousuke, et al.
Publicado: (2016) -
Computational
Design to Suppress Thermal Runaway of
Li-Ion Batteries via Atomic Substitutions to Cathode Materials
por: Yoshimoto, Yuki, et al.
Publicado: (2022)