Energetic Material

Energetic materials research focuses on understanding and controlling the properties and behavior of explosives and related compounds, primarily for applications in defense and mining. Current research emphasizes the development and application of advanced machine learning techniques, including neural networks and metaheuristics, to model complex phenomena like detonation and shock initiation, often using multi-modal datasets combining experimental and computational data. These efforts aim to improve the design of safer and more efficient energetic materials, as well as enhance detection and mitigation technologies for explosive threats, impacting both materials science and national security.