Adrian Buganza Tepole

Assistant Professor

Purdue University

United States

Research Interests

Explore related searches

Professors in United States Professors in Fluid Mechanics Fluid Mechanics professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Adrian Buganza Tepole is an Assistant Professor at Purdue University in the United States. His research encompasses areas such as physics-informed deep learning, tissue expansion in dermatological applications, and data-driven continuum damage mechanics. He has contributed to ongoing advancements in soft matter systems and the modeling of biological tissues through innovative computational methodologies.

Articles (22)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Collaborators (7)

Gerhard A. Holzapfel

Graz University of Technology

AUSTRIA

View details

Xiaoxu Zhong

Stanford University

UNITED STATES

View details

Arezoo M. Ardekani

Purdue University

UNITED STATES

View details

Taeksang Lee

Assistant Professor

Myongji University

SOUTH KOREA

View details

Ellen Kuhl

UNITED STATES

View details

Sarah Calve

Associate Professor

University of Colorado Boulder

UNITED STATES

View details

Gabriella Sugerman

Assistant Professor

San Jose State University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Adrian Buganza Tepole

Research Interests

Explore related searches

Contact this professor

About

Articles (22)

A Physics-Informed Deep Learning Deformable Medical Image Registration Method Based on Neural ODEs

Development and calibration of digital twins for human skin growth in tissue expansion

A universal material model subroutine for soft matter systems

Data-driven continuum damage mechanics with built-in physics

Poroelastic Characterization and Modeling of Subcutaneous Tissue Under Confined Compression

Generative hyperelasticity with physics-informed probabilistic diffusion fields

Elasticity Solver in Minecraft for Learning Mechanics of Materials by Gaming

Geometry of adipocyte packing in subcutaneous tissue contributes to nonlinear tissue properties captured through a Gaussian process surrogate model

Numerical investigation of new rete ridge formation in a multi-layer model of skin subjected to tissue expansion

Tissue expansion mitigates radiation-induced skin fibrosis in a porcine model

Computational mechanobiology model evaluating healing of postoperative cavities following breast-conserving surgery

Damage and Fracture Mechanics of Porcine Subcutaneous Tissue Under Tensile Loading

Benchmarking physics-informed frameworks for data-driven hyperelasticity

Data-driven anisotropic finite viscoelasticity using neural ordinary differential equations

Automated model discovery for skin: Discovering the best model, data, and experiment

Multiscale mechanical characterization and computational modeling of fibrin gels

Optimizing autoinjector devices using physics-based simulations and Gaussian processes

Mechano-biological and bio-mechanical pathways in cutaneous wound healing

Sex- and Age-dependent Skin Mechanics – A Detailed Look in Mice

Mechanical damage in porcine dermis: Micro-mechanical model and experimental characterization

Anisotropic damage model for collagenous tissues and its application to model fracture and needle insertion mechanics

Data-driven modeling of the mechanical behavior of anisotropic soft biological tissue

Collaborators (7)

Gerhard A. Holzapfel

Xiaoxu Zhong

Arezoo M. Ardekani

Taeksang Lee

Ellen Kuhl

Sarah Calve

Gabriella Sugerman

Make your next move.