Deciphering melting behaviors of energetic compounds using interpretable Machine learning for melt-castable applications
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,Environmental Chemistry,General Chemistry
Reference49 articles.
1. Strategies for constructing melt-castable energetic materials: A critical review;Ma;Energ. Mater. Front.,2021
2. Why Are Some Properties More Difficult To Predict than Others? A Study of QSPR Models of Solubility, Melting Point, and Log P;Hughes;J. Chem. Inf. Model.,2008
3. Capturing the Crystal: Prediction of Enthalpy of Sublimation, Crystal Lattice Energy, and Melting Points of Organic Compounds;Salahinejad;J. Chem. Inf. Model.,2013
4. On prediction of melting points without computer simulation: A focus on energetic molecular crystals;Bondarchuk;FirePhysChem.,2022
5. Comparison of Two Methods for Estimation of Melting Points of Organic Compounds;Jain;Ind. Eng. Chem. Res.,2007
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