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Jan Fuhg

University of Texas at Austin

2317 Speedway

Austin, TX 78712

United States

SCHOLARLY PAPERS

6

DOWNLOADS

216

TOTAL CITATIONS

2

Scholarly Papers (6)

1.

Tricuspid Valve Leaflet Strains in Full Heart Preparations via Digital Image Correlation

Number of pages: 13 Posted: 30 Oct 2024 Last Revised: 04 Mar 2026
University of Texas at Austin - Department of Aerospace Engineering and Engineering Mechanics, University of Texas at Austin, University of Pennsylvania, University of Texas at Austin, Corewell Health Medical Group and University of Texas at Austin - Department of Biomedical Engineering
Downloads 79 (816,709)

Abstract:

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Anisotropy, Heterogeneity, Annular Dilation, In Vitro Flow Loop, Cardiovascular Mechanics

2.

Polyconvex Neural Network Models of Thermoelasticity

Number of pages: 19 Posted: 29 May 2024
University of Texas at Austin, University of Texas at Austin, TU Darmstadt, Sandia National Laboratories and Sandia National Laboratories
Downloads 46 (1,109,210)
Citation 1

Abstract:

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thermohyperelasticity, neural network, thermodynamic constraints, free energy representation

3.

Multiscale Simulation of Spatially Correlated Microstructure Via a Latent Space Representation

Number of pages: 23 Posted: 04 Jun 2024
Sandia National Laboratories, Sandia National Laboratories, Sandia National Laboratories, Sandia National Laboratories, Sandia National Laboratories, University of Texas at Austin, Cornell University - Sibley School of Mechanical and Aerospace Engineering and Sandia National Laboratories
Downloads 31 (1,318,317)

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Multiscale simulation, elastoplasticity, spatial correlation, finite-size effects, latent space, autoencoder

4.

A physics-augmented neural network framework for modeling and detecting thermo-visco-plastic behavior

Number of pages: 30 Posted: 12 Jan 2026
Sandia National Laboratories, University of Texas at Austin, Sandia National Laboratories and University of Texas at Austin
Downloads 22 (1,424,331)

Abstract:

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Thermoviscoplasticity, Physics-augmented Neural Networks, Input Convex Neural Network, Neural Ordinary Differential Equations

5.

Differentiable Neural Network Representation of Multi-Well, Locally-Convex Potentials

Number of pages: 16 Posted: 14 Jul 2025
Sandia National Laboratories, Purdue University - School of Mechanical Engineering and University of Texas at Austin
Downloads 22 (1,424,331)
Citation 1

Abstract:

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Multi-well potentials, local convexity, Neural Networks, log-sum-exponential, phase change, bifurcation

6.

An Attention-Based Neural Ordinary Differential Equation Framework for Modeling Inelastic Processes

Number of pages: 21 Posted: 13 Mar 2025
Reese Jones and Jan Fuhg
Sandia National Laboratories and University of Texas at Austin
Downloads 16 (1,491,251)

Abstract:

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hyperelasticity, dissipation, inelasticity, neural ordinary differential equations, partially input convex neural networks, attention