168 citations · 831 across the 27 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 3 cited
Architected Materials for Mechanical Compression: Design via Simulation, Deep Learning, and Experimentation
Andrew J. Lew, Kai Jin, Markus J. Buehler
Architected materials can achieve enhanced properties compared to their plain counterparts. Specific architecting serves as a powerful design lever to achieve targeted behavior wit…
cond-mat.mtrl-sci2022
DyFraNet: Forecasting and Backcasting Dynamic Fracture Mechanics in Space and Time Using a 2D-to-3D Deep Neural Network
Yu-Chuan Hsu, Markus J. Buehler
The dynamics of materials failure is one of the most critical phenomena in a range of scientific and engineering fields, from healthcare to structural materials to transportation.…