2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 2 cited
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
S. Mohammadzadeh, E. Lejeune
Using simulation to predict the mechanical behavior of heterogeneous materials has applications ranging from topology optimization to multi-scale structural analysis. However, full…
q-bio.TO2020★ 1 cited
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation
Emma Lejeune, Bill Zhao
From the nano-scale to the macro-scale, biological tissue is spatially heterogeneous. Even when tissue behavior is well understood, the exact subject specific spatial distribution…