Minglang Yin
Orcid: 0000-0001-7861-350X
According to our database1,
Minglang Yin
authored at least 10 papers
between 2020 and 2024.
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Bibliography
2024
A scalable framework for learning the geometry-dependent solution operators of partial differential equations.
Nat. Comput. Sci., December, 2024
Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy.
CoRR, 2024
Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations.
CoRR, 2024
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains.
CoRR, 2024
2023
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes.
CoRR, 2023
2022
Interfacing Finite Elements with Deep Neural Operators for Fast Multiscale Modeling of Mechanics Problems.
CoRR, 2022
2021
Simulating progressive intramural damage leading to aortic dissection using an operator-regression neural network.
CoRR, 2021
A physics-informed variational DeepONet for predicting the crack path in brittle materials.
CoRR, 2021
2020
Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging.
CoRR, 2020