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05/26/2023
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems
This work presents a multi-resolution physics-informed recurrent neural ...
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11/24/2022
Certified data-driven physics-informed greedy auto-encoder simulator
A parametric adaptive greedy Latent Space Dynamics Identification (gLaSD...
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09/03/2022
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling
Physics-constrained data-driven computing is an emerging computational p...
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05/01/2022
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials
Characterization and modeling of path-dependent behaviors of complex mat...
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04/26/2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification
A parametric adaptive physics-informed greedy Latent Space Dynamics Iden...
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03/04/2022
