Applying machine learning to balance performance and stability of high energy density materials

The long-standing performance-stability contradiction issue of high energy density materials (HEDMs) is of extremely complex and multi-parameter nature. Herein, machine learning was employed to handle 28 feature descriptors and 5 properties of detonation and stability of 153 HEDMs, wherein all 21,64...

Descripción completa

Detalles Bibliográficos
Autores principales: Huang, Xiaona, Li, Chongyang, Tan, Kaiyuan, Wen, Yushi, Guo, Feng, Li, Ming, Huang, Yongli, Sun, Chang Q., Gozin, Michael, Zhang, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957118/
https://www.ncbi.nlm.nih.gov/pubmed/33748721
http://dx.doi.org/10.1016/j.isci.2021.102240

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7957118/
https://www.ncbi.nlm.nih.gov/pubmed/33748721
http://dx.doi.org/10.1016/j.isci.2021.102240

Ejemplares similares