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PDE Surrogate Modeling

Papers

Showing 19 of 9 papers

TitleStatusHype
Learning Neural PDE Solvers with Parameter-Guided Channel AttentionCode3
Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical SystemsCode2
Towards Multi-spatiotemporal-scale Generalized PDE ModelingCode2
Convolutional Neural Operators for robust and accurate learning of PDEsCode2
Scalable Transformer for PDE Surrogate ModelingCode1
Learning to Predict Structural VibrationsCode1
Deep Operator Networks for Bayesian Parameter Estimation in PDEs0
Extreme time extrapolation capabilities and thermodynamic consistency of physics-inspired Neural Networks for the 3D microstructure evolution of materials via Cahn-Hilliard flowCode0
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics SimulationsCode0
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