191 citations · 694 across the 41 of their papers we have counts for
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A hierarchy of thermodynamics learning frameworks for inelastic constitutive modeling
Reese E. Jones, Jan N. Fuhg
Recent advances in physics-augmented neural networks have enabled thermodynamically consistent data-driven constitutive modeling of complex inelastic materials. Most existing appro…
A physics-augmented neural network framework for modeling and detecting thermo-visco-plastic behavior
Reese E. Jones, Asghar Jadoon, D. Thomas Seidl +1
Although considerable attention has been devoted to the development of models for isothermal, rate-independent plasticity, many high-consequence performance assessments involve vis…
An attention-based neural ordinary differential equation framework for modeling inelastic processes
Reese E. Jones, Jan N. Fuhg
To preserve strictly conservative behavior as well as model the variety of dissipative behavior displayed by solid materials, we propose a significant enhancement to the internal s…
Multiscale simulation of spatially correlated microstructure via a latent space representation
Reese E. Jones, Craig M. Hamel, Dan Bolintineanu +5
When deformation gradients act on the scale of the microstructure of a part due to geometry and loading, spatial correlations and finite-size effects in simulation cells cannot be…
Establishing the relationship between generalized crystallographic texture and macroscopic yield surfaces using partial input convex neural networks
Lloyd van Wees, Karthik Shankar, Jan N. Fuhg +4
In this study, we present a methodology to predict the macroscopic yield surface of metals and metallic alloys with general crystallographic textures. In previous work, we have est…
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…
Machine-learning convex and texture-dependent macroscopic yield from crystal plasticity simulations
Jan N. Fuhg, Lloyd van Wees, Mark Obstalecki +3
The influence of the microstructure of a polycrystalline material on its macroscopic deformation response is still one of the major problems in materials engineering. For materials…