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Fast explosive performance prediction <i>via</i> small-dose energetic materials based on time-resolved imaging combined with machine learning

Xianshuang Wang, Yage He, Wenli Cao, Wei Guo, Tonglai Zhang, Jianguo Zhang, Qinghai Shu, Xueyong Guo, Ruibin Liu, Yugui Yao

2022Journal of Materials Chemistry A34 citationsDOI

Abstract

Fast, reproducible, and quantitative performance evaluation of monomolecular energetic materials (EMs) is a significant challenge that limits the tailored applications of EMs and the development of new high-energy-density materials.

Topics & Concepts

Explosive materialEnergetic materialMaterials scienceEnergy densityComputer scienceNuclear engineeringNanotechnologyEngineering physicsPhysicsEngineeringChemistryOrganic chemistryEnergetic Materials and CombustionRocket and propulsion systems researchHigh-pressure geophysics and materials
Fast explosive performance prediction <i>via</i> small-dose energetic materials based on time-resolved imaging combined with machine learning | Litcius