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Abstract
Annals of Chemical Science Research
Application of Neural Networks for Modeling Detonation Characteristics of High-Energy Materials
Submission: April 29, 2026;Published: May 25, 2026
Abstract
Machine learning methods, particularly neural networks, offer the ability to identify complex nonlinear relationships between detonation characteristics, structure, and composition of HEMs. This work employs a novel approach a cascade of neural networks to improve model quality and enable comprehensive analysis of HEM characteristics.
Keywords:Machine learning; Neural networks; High-energy materials; Detonation characteristics
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a Creative Commons Attribution 4.0 International License. Based on a work at www.crimsonpublishers.com.
Best viewed in
| Above IE 9.0 version