Application of Machine Learning to the Design of Energetic Materials: Preliminary Experience and Comparison with Alternative Techniques-Reference-Cited by-同舟云学术

Application of Machine Learning to the Design of Energetic Materials: Preliminary Experience and Comparison with Alternative Techniques

Published:2023-01-11 Issue:4 Volume:48 Page:
ISSN:0721-3115
Container-title:Propellants, Explosives, Pyrotechnics
language:en
Short-container-title:Propellants Explo Pyrotec

Author:

Wespiser Clément¹,Mathieu Didier¹^ORCID

Affiliation:

1. CEA, DAM Le Ripault F-37260 Monts France

Publisher

Wiley

Subject

General Chemical Engineering,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/prep.202200264

Reference89 articles.

1. Sensitivity and Performance of Energetic Materials

2. Molecular Modeling of the Sensitivities of Energetic Materials (Ed.: D. Mathieu) Elsevier Amsterdam2022.

3. Theoretical Evaluation of Sensitivity and Thermal Stability for High Explosives Based on Quantum Chemistry Methods: a Brief Review;Yan Q.-L.;Propellants Explos. Pyrotech.,2013

4. QSPR modeling of detonation parameters and sensitivity of some energetic materials: DFT vs. PM3 calculations

5. Theoretical investigation of impact sensitivity of nitrogen rich energetic salts

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