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ORCIDAdrian Buganza Tepole
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2020 – today
- 2024
[c1]Carly A. Mendenhall
, Jonathan Hardan, Trysta D. Chiang, Laura H. Blumenschein, Adrian Buganza Tepole:
Physics-Informed Neural Network for Scalable Soft Multi-Actuator Systems. RoboSoft 2024: 716-721- [i9]Mathias Peirlinck, Juan A. Hurtado, Manuel K. Rausch, Adrian Buganza Tepole, Ellen Kuhl:
A universal material model subroutine for soft matter systems. CoRR abs/2404.13144 (2024) - 2023
- [j6]Zachary Harbin, David Sohutskay, Emma Vanderlaan, Muira Fontaine, Carly A. Mendenhall, Carla Fisher, Sherry Voytik-Harbin, Adrian Buganza Tepole:
Computational mechanobiology model evaluating healing of postoperative cavities following breast-conserving surgery. Comput. Biol. Medicine 165: 107342 (2023) - [j5]Marco Pensalfini, Adrian Buganza Tepole:
Mechano-biological and bio-mechanical pathways in cutaneous wound healing. PLoS Comput. Biol. 19(3) (2023) - [i8]Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, Adrian Buganza Tepole:
Benchmarks for physics-informed data-driven hyperelasticity. CoRR abs/2301.10714 (2023) - [i7]Vahidullah Tac, Manuel K. Rausch, Francisco Sahli Costabal, Adrian Buganza Tepole:
Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. CoRR abs/2302.03598 (2023) - [i6]Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole:
Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields. CoRR abs/2310.03745 (2023) - 2022
- [j4]Adrian Buganza Tepole, Johannes Weickenmeier, Maria A. Holland, Rafael Grytz:
Special Issue: Imaging-based methods in computational medicine. Eng. Comput. 38(5): 3831-3833 (2022) - [j3]Aishwarya Pawar, Linlin Li, Arun Gosain, David M. Umulis, Adrian Buganza Tepole:
PDE-constrained shape registration to characterize biological growth and morphogenesis from imaging data. Eng. Comput. 38(5): 3909-3924 (2022) - [j2]Vahidullah Tac, Vivek D. Sree, Manuel K. Rausch, Adrian Buganza Tepole:
Data-driven modeling of the mechanical behavior of anisotropic soft biological tissue. Eng. Comput. 38(5): 4167-4182 (2022) - [i5]Zachariah P. Beck, Brandon Alpert, Alexander J. Bowman, William R. Watson, Adrian Buganza Tepole:
Elasticity Solver in Minecraft for Learning Mechanics of Materials by Gaming. CoRR abs/2212.08124 (2022) - 2021
- [i4]Yue Leng, Sarah Calve, Adrian Buganza Tepole:
Predicting the Mechanical Properties of Fibrin Using Neural Networks Trained on Discrete Fiber Network Data. CoRR abs/2101.11712 (2021) - [i3]Vahidullah Tac, Vivek D. Sree, Manuel K. Rausch, Adrian Buganza Tepole:
Data-driven Modeling of the Mechanical Behavior of Anisotropic Soft Biological Tissue. CoRR abs/2107.05388 (2021) - [i2]Vahidullah Tac, Francisco Sahli Costabal, Adrian Buganza Tepole:
Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations. CoRR abs/2110.03774 (2021) - 2020
- [i1]Casey Stowers, Taeksang Lee, Ilias Bilionis, Arun Gosain, Adrian Buganza Tepole:
Improving Reconstructive Surgery Design using Gaussian Process Surrogates to Capture Material Behavior Uncertainty. CoRR abs/2010.02800 (2020)
2010 – 2019
- 2019
- [j1]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:
Integrating machine learning and multiscale modeling - perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences. npj Digit. Medicine 2 (2019)
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