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06/28/2023
HNO: Hyena Neural Operator for solving PDEs
Numerically solving partial differential equations (PDEs) typically requ...
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05/27/2023
Scalable Transformer for PDE Surrogate Modeling
Transformer has shown state-of-the-art performance on various applicatio...
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05/15/2023
Physics Informed Token Transformer
Solving Partial Differential Equations (PDEs) is the core of many fields...
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03/03/2023
Denoise Pre-training on Non-equilibrium Molecules for Accurate and Transferable Neural Potentials
Machine learning methods, particularly recent advances in equivariant gr...
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11/26/2022
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction
Machine learning models are gaining increasing popularity in the domain ...
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09/12/2022
Graph Neural Networks for Molecules
Graph neural networks (GNNs), which are capable of learning representati...
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05/26/2022
Transformer for Partial Differential Equations' Operator Learning
Data-driven learning of partial differential equations' solution operato...
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12/06/2021
