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Huaiqian You

MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics

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Feb 03, 2023
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Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures

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Jan 11, 2023
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INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation

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Dec 29, 2022
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MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling

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Jun 04, 2022
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A Physics-Guided Neural Operator Learning Approach to Model Biological Tissues from Digital Image Correlation Measurements

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Apr 01, 2022
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Learning Deep Implicit Fourier Neural Operators (IFNOs) with Applications to Heterogeneous Material Modeling

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Mar 15, 2022
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Nonlocal Kernel Network (NKN): a Stable and Resolution-Independent Deep Neural Network

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Jan 06, 2022
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A data-driven peridynamic continuum model for upscaling molecular dynamics

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Aug 04, 2021
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Data-driven learning of nonlocal models: from high-fidelity simulations to constitutive laws

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Dec 08, 2020
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Data-driven learning of robust nonlocal physics from high-fidelity synthetic data

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May 17, 2020
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