Latest

• Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs
• Incremental Spatial and Spectral Learning of Neural Operators for Solving Large-Scale PDEs
• Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs
• Equivariant Graph Neural Operator for Modeling 3D Dynamics
• AI-driven emulation of ocean dynamics on sub-seasonal scales
• Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
• Neural operators for accelerating scientific simulations and design
• Geometry-informed neural operator for large-scale 3D PDEs
• Physics-informed neural operators with exact differentiation on arbitrary geometries