390 citations · 836 across the 16 of their papers we have counts for
4 papers · 1 filter
Artificial intelligence approaches for materials-by-design of energetic materials: state-of-the-art, challenges, and future directions
Joseph B. Choi, Phong C. H. Nguyen, Oishik Sen +2
Artificial intelligence (AI) is rapidly emerging as an enabling tool for solving various complex materials design problems. This paper aims to review recent advances in AI-driven m…
A physics-aware deep learning model for energy localization in multiscale shock-to-detonation simulations of heterogeneous energetic materials
Phong C. H. Nguyen, Yen-Thi Nguyen, Pradeep K. Seshadri +3
Predictive simulations of the shock-to-detonation transition (SDT) in heterogeneous energetic materials (EM) are vital to the design and control of their energy release and sensiti…
PARC: Physics-Aware Recurrent Convolutional Neural Networks to Assimilate Meso-scale Reactive Mechanics of Energetic Materials
Phong C. H. Nguyen, Yen-Thi Nguyen, Joseph B. Choi +3
The thermo-mechanical response of shock-initiated energetic materials (EM) is highly influenced by their microstructures, presenting an opportunity to engineer EM microstructure in…
Deep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials
Sehyun Chun, Sidhartha Roy, Yen Thi Nguyen +3
The sensitivity of heterogeneous energetic (HE) materials (propellants, explosives, and pyrotechnics) is critically dependent on their microstructure. Initiation of chemical reacti…