Cargando…
MAGUS: machine learning and graph theory assisted universal structure searcher
Crystal structure predictions based on first-principles calculations have gained great success in materials science and solid state physics. However, the remaining challenges still limit their applications in systems with a large number of atoms, especially the complexity of conformational space and...
Autores principales: | Wang, Junjie, Gao, Hao, Han, Yu, Ding, Chi, Pan, Shuning, Wang, Yong, Jia, Qiuhan, Wang, Hui-Tian, Xing, Dingyu, Sun, Jian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275355/ https://www.ncbi.nlm.nih.gov/pubmed/37332628 http://dx.doi.org/10.1093/nsr/nwad128 |
Ejemplares similares
-
MAGUS: Multiple sequence Alignment using Graph clUStering
por: Smirnov, Vladimir, et al.
Publicado: (2020) -
Perforated Intestine Searcher
por: Lofton, Lucian
Publicado: (1901) -
A New Stone Searcher
por: Lofton, Lucien
Publicado: (1896) -
Recursive MAGUS: Scalable and accurate multiple sequence alignment
por: Smirnov, Vladimir
Publicado: (2021) -
RSMD-repeat searcher and motif detector
por: Mani, Udayakumar, et al.
Publicado: (2014)