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Youngjoon Hong

PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations

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Dec 08, 2024
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Constant Acceleration Flow

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Nov 01, 2024
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MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data

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Oct 09, 2024
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Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs

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Apr 27, 2024
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Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation

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Mar 10, 2024
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Spectral operator learning for parametric PDEs without data reliance

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Oct 03, 2023
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Hydra: Multi-head Low-rank Adaptation for Parameter Efficient Fine-tuning

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Sep 13, 2023
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Finite Element Operator Network for Solving Parametric PDEs

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Aug 09, 2023
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Separable Physics-Informed Neural Networks

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Jul 03, 2023
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Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks

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Nov 21, 2022
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