Prediction and Construction of Energetic Materials Based on Machine Learning Methods

Energetic materials (EMs) are the core materials of weapons and equipment. Achieving precise molecular design and efficient green synthesis of EMs has long been one of the primary concerns of researchers around the world. Traditionally, advanced materials were discovered through a trial-and-error pr...

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Detalles Bibliográficos
Autores principales: Zang, Xiaowei, Zhou, Xiang, Bian, Haitao, Jin, Weiping, Pan, Xuhai, Jiang, Juncheng, Koroleva, M. Yu., Shen, Ruiqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821915/
https://www.ncbi.nlm.nih.gov/pubmed/36615516
http://dx.doi.org/10.3390/molecules28010322

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821915/
https://www.ncbi.nlm.nih.gov/pubmed/36615516
http://dx.doi.org/10.3390/molecules28010322

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