Adrian Buganza Tepole

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Ordinary Differential Equations

Top Venues

Comput. Biol. Medicine

npj Digit. Medicine

Publications

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 (2023)
Marco Pensalfini, Adrian Buganza Tepole
Mechano-biological and bio-mechanical pathways in cutaneous wound healing. PLoS Comput. Biol. 19 (3) (2023)
Vahidullah Tac, Manuel K. Rausch, Francisco Sahli Costabal, Adrian Buganza Tepole
Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations. CoRR (2023)
Vahidullah Tac, Manuel K. Rausch, Ilias Bilionis, Francisco Sahli Costabal, Adrian Buganza Tepole
Generative Hyperelasticity with Physics-Informed Probabilistic Diffusion Fields. CoRR (2023)
Vahidullah Tac, Kevin Linka, Francisco Sahli Costabal, Ellen Kuhl, Adrian Buganza Tepole
Benchmarks for physics-informed data-driven hyperelasticity. CoRR (2023)
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) (2022)
Adrian Buganza Tepole, Johannes Weickenmeier, Maria Holland, Rafael Grytz
Special Issue: Imaging-based methods in computational medicine. Eng. Comput. 38 (5) (2022)
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 (2022)
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) (2022)
Yue Leng, Sarah Calve, Adrian Buganza Tepole
Predicting the Mechanical Properties of Fibrin Using Neural Networks Trained on Discrete Fiber Network Data. CoRR (2021)
Vahidullah Tac, Francisco Sahli Costabal, Adrian Buganza Tepole
Automatically Polyconvex Strain Energy Functions using Neural Ordinary Differential Equations. CoRR (2021)
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 (2020)
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)