Minglang Yin

According to our database, Minglang Yin authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains.

Minglang Yin, Nicolas Charon, Ryan Brody, Lu Lu, Natalia A. Trayanova, Mauro Maggioni

CoRR, 2024

2023

A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes.

Minglang Yin, Zongren Zou, Enrui Zhang, Cristina Cavinato, Jay D. Humphrey, George Em Karniadakis

CoRR, 2023

2022

Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems.

Minglang Yin, Enrui Zhang, Yue Yu, George Em Karniadakis

CoRR, 2022

2021

Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network.

Minglang Yin, Ehsan Ban, Bruno V. Rego, Enrui Zhang, Cristina Cavinato, Jay D. Humphrey, George Em Karniadakis

CoRR, 2021

A physics-informed variational DeepONet for predicting the crack path in brittle materials.

Somdatta Goswami, Minglang Yin, Yue Yu, George E. Karniadakis

CoRR, 2021

Physics-informed neural networks (PINNs) for fluid mechanics: A review.

Shengze Cai, Zhiping Mao, Zhicheng Wang, Minglang Yin, George Em Karniadakis

CoRR, 2021

2020

Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging.

Enrui Zhang, Minglang Yin, George Em Karniadakis

CoRR, 2020