Chunyu Li

Microstructure-aware deep learning bridges atomistics to macroscale for shock-to-detonation prediction

The shock-to-detonation transition in energetic materials is governed by coupled processes at extreme temperatures, pressures, and strain rates spanning Ångstroms to millimeters and femtoseconds to microseconds. Traditional multiscale models fail due to the lack of equilibrium an...