Adrian Buganza Tepole

24 papers Journal 23Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Differentiable neural network representation of multi-well, locally-convex potentials.
J. Comput. Phys.
Reese E. Jones, Adrian Buganza Tepole, Jan Niklas Fuhg
2026 J jnl
Subcutaneous tissue structural feature identification using unsupervised machine learning.
Comput. Biol. Medicine
Sourav Das, Melissa C. Brindise, Jordanna M. Payne, Luis Solorio, Adrian Buganza Tepole, Pavlos P. Vlachos
2025 J jnl
A Physics-Informed Deep Learning Deformable Medical Image Registration Method Based on Neural ODEs.
Int. J. Comput. Vis.
Amirhossein Amiri-Hezaveh, Shelly Tan, Qing Deng, David M. Umulis, Lauren Cunniff, Johannes Weickenmeier, Adrian Buganza Tepole
2025 J jnl
A universal material model subroutine for soft matter systems.
Eng. Comput.
Mathias Peirlinck, Juan A. Hurtado, Manuel K. Rausch, Adrian Buganza Tepole, Ellen Kuhl
2025 J jnl
Differentiable neural network representation of multi-well, locally-convex potentials.
CoRR
Reese E. Jones, Adrian Buganza Tepole, Jan Niklas Fuhg
2025 J jnl
Fully data-driven inverse hyperelasticity with hyper-network neural ODE fields.
CoRR
Vahidullah Tac, Amirhossein Amiri-Hezaveh, Manuel K. Rausch, Grace N. Bechtel, Francisco Sahli Costabal, Adrian Buganza Tepole
2025 J jnl
Generative hyperelasticity with physics-informed probabilistic diffusion fields.
Eng. Comput.
Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole
2025 J jnl
Polyconvex Physics-Augmented Neural Network Constitutive Models in Principal Stretches.
CoRR
Adrian Buganza Tepole, Asghar A. Jadoon, Manuel K. Rausch, Jan Niklas Fuhg
2024 J jnl
A universal material model subroutine for soft matter systems.
CoRR
Mathias Peirlinck, Juan A. Hurtado, Manuel K. Rausch, Adrian Buganza Tepole, Ellen Kuhl
2024 — conf
Physics-Informed Neural Network for Scalable Soft Multi-Actuator Systems.
RoboSoft
Carly A. Mendenhall, Jonathan Hardan, Trysta D. Chiang, Laura H. Blumenschein, Adrian Buganza Tepole
2023 J jnl
Benchmarks for physics-informed data-driven hyperelasticity.
CoRR
Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, Adrian Buganza Tepole
2023 J jnl
Computational mechanobiology model evaluating healing of postoperative cavities following breast-conserving surgery.
Comput. Biol. Medicine
Zachary Harbin, David Sohutskay, Emma Vanderlaan, Muira Fontaine, Carly A. Mendenhall, Carla Fisher, Sherry Voytik-Harbin, Adrian Buganza Tepole
2023 J jnl
Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations.
CoRR
Vahidullah Tac, Manuel K. Rausch, Francisco Sahli Costabal, Adrian Buganza Tepole
2023 J jnl
Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields.
CoRR
Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole
2023 J jnl
Mechano-biological and bio-mechanical pathways in cutaneous wound healing.
PLoS Comput. Biol.
Marco Pensalfini, Adrian Buganza Tepole
2022 J jnl
Data-driven modeling of the mechanical behavior of anisotropic soft biological tissue.
Eng. Comput.
Vahidullah Tac, Vivek D. Sree, Manuel K. Rausch, Adrian Buganza Tepole
2022 J jnl
Elasticity Solver in Minecraft for Learning Mechanics of Materials by Gaming.
CoRR
Zachariah P. Beck, Brandon Alpert, Alexander J. Bowman, William R. Watson, Adrian Buganza Tepole
2022 J jnl
PDE-constrained shape registration to characterize biological growth and morphogenesis from imaging data.
Eng. Comput.
Aishwarya Pawar, Linlin Li, Arun Gosain, David M. Umulis, Adrian Buganza Tepole
2022 J jnl
Special Issue: Imaging-based methods in computational medicine.
Eng. Comput.
Adrian Buganza Tepole, Johannes Weickenmeier, Maria A. Holland, Rafael Grytz
2021 J jnl
Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations.
CoRR
Vahidullah Tac, Francisco Sahli Costabal, Adrian Buganza Tepole
2021 J jnl
Data-driven Modeling of the Mechanical Behavior of Anisotropic Soft Biological Tissue.
CoRR
Vahidullah Tac, Vivek D. Sree, Manuel K. Rausch, Adrian Buganza Tepole
2021 J jnl
Predicting the Mechanical Properties of Fibrin Using Neural Networks Trained on Discrete Fiber Network Data.
CoRR
Yue Leng, Sarah Calve, Adrian Buganza Tepole
2020 J jnl
Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty.
CoRR
Casey Stowers, Taeksang Lee, Ilias Bilionis, Arun Gosain, Adrian Buganza Tepole
2019 J jnl
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.
npj Digit. Medicine
Mark S. Alber, Adrian Buganza Tepole, William R. Cannon, Suvranu De, Salvador Dura-Bernal, Krishna C. Garikipati, George E. Karniadakis, William W. Lytton, Paris Perdikaris, Linda R. Petzold, Ellen Kuhl