research
∙
05/04/2023
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes
Quantifying biomechanical properties of the human vasculature could deep...
share
research
∙
03/14/2023
Recent Advances and Applications of Machine Learning in Experimental Solid Mechanics: A Review
For many decades, experimental solid mechanics has played a crucial role...
research
∙
10/31/2022
On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations
The discovery of fast numerical solvers prompted a clear and rapid shift...
research
∙
08/28/2022
A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods
Iterative solvers of linear systems are a key component for the numerica...
research
∙
08/21/2022
G2Φnet: Relating Genotype and Biomechanical Phenotype of Tissues with Deep Learning
Many genetic mutations adversely affect the structure and function of lo...
research
∙
02/25/2022
Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems
Multiscale modeling is an effective approach for investigating multiphys...
research
∙
08/25/2021
