Adrián Buganza Tepole
Engineering · Purdue University West Lafayette
Publications
170
Citations
3,621
Est. group size
~19
Recurring co-author estimate
Active years
16
Publishing since 2011
This researcher works at the intersection of computational mechanics and machine learning, developing physics-informed neural network models to simulate how biological tissues like skin grow, deform, and heal, as well as how engineered materials deform and fracture. A recurring theme is building 'digital twins' and data-driven material models that combine physical laws with machine learning to predict things like tissue expansion in reconstructive surgery, wound healing, and material damage or fracture. The work spans computational biomechanics, computational materials science, and scientific machine learning methods such as neural ODEs and physics-augmented neural networks.
Publication output grew steadily from 2017 through a peak around 2023, followed by a slight dip and continued strong activity through 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Differentiable neural network representation of multi-well, locally-convex potentials
Journal of Computational Physics · 2026
- Physics informed surface autoencoders for thin shell analysis
Computer Methods in Applied Mechanics and Engineering · 2026
- Fully data-driven inverse characterization of heterogeneous materials with hyper-network neural ODEs
npj Computational Materials · 2026
- The phase-field model of fracture incorporating Mohr–Coulomb, Mogi–Coulomb, and Hoek–Brown strength surfaces
Engineering Fracture Mechanics · 2026
- A Differentiable Framework for Gradient Enhanced Damage with Physics-Augmented Neural Networks in JAX-FEM
arXiv (Cornell University) · 2026
- A Differentiable Framework for Gradient Enhanced Damage with Physics-Augmented Neural Networks in JAX-FEM
arXiv (Cornell University) · 2026
- Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling
arXiv (Cornell University) · 2026
- Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling
arXiv (Cornell University) · 2026
- Full-Field Calibration of Coupled Thermomechanical Material Models at Finite Strain
arXiv (Cornell University) · 2026
- Full-Field Calibration of Coupled Thermomechanical Material Models at Finite Strain
arXiv (Cornell University) · 2026
- Polyconvex physics-augmented neural network constitutive models in principal stretches
International Journal of Solids and Structures · 2025
- A Physics-Informed Deep Learning Deformable Medical Image Registration Method Based on Neural ODEs
International Journal of Computer Vision · 2025
- Predictive Modeling of Human Skin Deformation and Growth During Tissue Expansion in Postmastectomy Breast Reconstruction
Journal of Biomechanical Engineering · 2025
- Mixed-dimensional fluid–structure interaction simulations reveal key mechanisms of cerebrospinal fluid dynamics in the spinal canal
Fluids and Barriers of the CNS · 2025
- Reactive oxygen species counteract zebrafish wound contraction and promote wound healing
Biophysical Journal · 2025
- arXiv (Cornell University)×21
- bioRxiv (Cold Spring Harbor Laboratory)×14
- Acta Biomaterialia×10
- SSRN Electronic Journal×10
- Computer Methods in Applied Mechanics and Engineering×8
- Vahidullah Taç
Engineering · Purdue University West Lafayette
- Aritra Chatterjee
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Taeksang Lee
Medicine · Purdue University West Lafayette
- Ahmad I. M. Athamneh
Biochemistry, Genetics and Molecular Biology · Purdue University West Lafayette
- Adriana T. Dawes
Biochemistry, Genetics and Molecular Biology · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile