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
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