Simple Alternative to Neural Networks for Predicting Sublimation Enthalpies from Fragment Contributions
Author:
Affiliation:
1. CEA, DAM, Le Ripault, F-37260 Monts, France
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/ie201995k
Reference25 articles.
1. Prediction of Crystal Lattice Energy Using Enthalpy of Sublimation: A Group Contribution-Based Model
2. Quantitative structure–sublimation enthalpy relationship studied by neural networks, theoretical crystal packing calculations and multilinear regression analysis
3. Can we predict lattice energy from molecular structure?
4. Improved prediction of heats of sublimation of energetic compounds using their molecular structure
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