Cargando…
Protocol to predict mechanical properties of multi-element ceramics using machine learning
Identifying and designing high-performance multi-element ceramics based on trial-and-error approaches are ineffective and expensive. Here, we present a machine-learning-accelerated method for prediction of mechanical properties of multi-element ceramics, based on the density functional theory calcul...
Autores principales: | Tang, Yunqing, Zhang, Dong, Liu, Ruiliang, Li, Dongyang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9304642/ https://www.ncbi.nlm.nih.gov/pubmed/35852942 http://dx.doi.org/10.1016/j.xpro.2022.101552 |
Ejemplares similares
-
Unified machine learning protocol for copolymer structure-property predictions
por: Tao, Lei, et al.
Publicado: (2022) -
Protocol for state-of-health prediction of lithium-ion batteries based on machine learning
por: Shu, Xing, et al.
Publicado: (2022) -
Multivariable prediction models for health care spending using machine learning: a protocol of a systematic review
por: Huang, Andrew W., et al.
Publicado: (2022) -
Protocol for CAROM: A machine learning tool to predict post-translational regulation from metabolic signatures
por: Smith, Kirk, et al.
Publicado: (2022) -
Protocol for hybrid flux balance, statistical, and machine learning analysis of multi-omic data from the cyanobacterium Synechococcus sp. PCC 7002
por: Vijayakumar, Supreeta, et al.
Publicado: (2021)