65 citations · 98 across the 10 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 65 cited
Learning hyperelastic anisotropy from data via a tensor basis neural network
Jan N. Fuhg, Nikolaos Bouklas, Reese E. Jones
Anisotropy in the mechanical response of materials with microstructure is common and yet is difficult to assess and model. To construct accurate response models given only stress-s…
cond-mat.mtrl-sci2016
Comparison of dislocation density tensor fields derived from discrete dislocation dynamics and crystal plasticity simulations of torsion
Reese Jones, Jonathan Zimmerman, Giacomo Po
The importance of accurate simulation of the plastic deformation of ductile metals to the design of structures and components is well-known. Many techniques exist that address the…