Cargando…
Novel Random Forest Ensemble Modeling Strategy Combined with Quantitative Structure–Property Relationship for Density Prediction of Energetic Materials
[Image: see text] With the further development of the concept of green chemistry, the new generation of energetic materials tends to exhibit detonation properties such as higher insensitivity, higher density, and higher energy. Therefore, the precise molecular design and green and efficient synthesi...
Autores principales: | Li, Maogang, Lai, Weipeng, Li, Ruirui, Zhou, Jiajun, Liu, Yingzhe, Yu, Tao, Zhang, Tianlong, Tang, Hongsheng, Li, Hua |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9850487/ https://www.ncbi.nlm.nih.gov/pubmed/36687054 http://dx.doi.org/10.1021/acsomega.2c07436 |
Ejemplares similares
-
Quantitative analysis of phenanthrene in soil by fluorescence spectroscopy coupled with the CARS-PLS model
por: Li, Haonan, et al.
Publicado: (2023) -
Force field-inspired transformer network assisted crystal density prediction for energetic materials
por: Jin, Jun-Xuan, et al.
Publicado: (2023) -
Progress of Artificial Intelligence in Drug Synthesis and Prospect of Its Application in Nitrification of Energetic Materials
por: Tan, Bojun, et al.
Publicado: (2023) -
Energetics of mangrove forests
por: Alongi, Daniel M.
Publicado: (2010) -
Comparative Studies on Thermal Decompositions of Dinitropyrazole-Based Energetic Materials
por: Zhou, Jing, et al.
Publicado: (2021)