Cargando…
Global analysis of the energy landscapes of molecular crystal structures by applying the threshold algorithm
Polymorphism in molecular crystals has important consequences for the control of materials properties and our understanding of crystallization. Computational methods, including crystal structure prediction, have provided important insight into polymorphism, but have usually been limited to assessing...
Autores principales: | Yang, Shiyue, Day, Graeme M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9814927/ https://www.ncbi.nlm.nih.gov/pubmed/36697680 http://dx.doi.org/10.1038/s42004-022-00705-4 |
Ejemplares similares
-
Machine learning for the structure–energy–property landscapes of molecular crystals
por: Musil, Félix, et al.
Publicado: (2017) -
Reducing overprediction of molecular crystal structures via threshold clustering
por: Butler, Patrick W. V., et al.
Publicado: (2023) -
Digital navigation of energy–structure–function maps for hydrogen-bonded porous molecular crystals
por: Zhao, Chengxi, et al.
Publicado: (2021) -
Improved Bat Algorithm Applied to Multilevel Image Thresholding
por: Alihodzic, Adis, et al.
Publicado: (2014) -
Epidemic Thresholds in SIR and SIIR Models Applying an Algorithmic Method
por: Hincapié P., Doracelly, et al.
Publicado: (2008)