most citedDeep learning for synthetic microstructure generation in a materials-by-design framework for heterogeneous energetic materials

120 citations · 120 across the 1 of their papers we have counts for

collaborators

1 paper

cond-mat.mtrl-sci2020★ 120 cited

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…