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PDE Surrogate Modeling

Papers

Showing 19 of 9 papers

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