Cargando…
Reducing overprediction of molecular crystal structures via threshold clustering
Crystal structure prediction is becoming an increasingly valuable tool for assessing polymorphism of crystalline molecular compounds, yet invariably, it overpredicts the number of polymorphs. One of the causes for this overprediction is in neglecting the coalescence of potential energy minima, separ...
Autores principales: | Butler, Patrick W. V., Day, Graeme M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266058/ https://www.ncbi.nlm.nih.gov/pubmed/37252993 http://dx.doi.org/10.1073/pnas.2300516120 |
Ejemplares similares
-
Low-Performing Students Confidently Overpredict Their Grade Performance throughout the Semester
por: Karaca, Meltem, et al.
Publicado: (2023) -
Global analysis of the energy landscapes of molecular crystal structures by applying the threshold algorithm
por: Yang, Shiyue, et al.
Publicado: (2022) -
On Quality Thresholds
for the Clustering of Molecular
Structures
por: Daura, Xavier, et al.
Publicado: (2022) -
Quantifying the degree of bias from using county‐scale data in species distribution modeling: Can increasing sample size or using county‐averaged environmental data reduce distributional overprediction?
por: Collins, Steven D., et al.
Publicado: (2017) -
Machine learning for the structure–energy–property landscapes of molecular crystals
por: Musil, Félix, et al.
Publicado: (2017)