Enforcing Dirichlet Boundary Conditions in Operator Learning
math.NA, cs.LG, cs.NA
Submitted: 2026-08-27
Updated: 2026-08-27
Code: https://github.com/mtrautner/DNO
Terminology
Sources
- Learning Memory and Material Dependent Constitutive Laws
- Deep Hilbert--Galerkin Methods for Infinite-Dimensional PDEs and Optimal Control
- A Novel Method for Enforcing Exactly Dirichlet, Neumann and Robin Conditions on Curved Domain Boundaries for Physics Informed Machine Learning
- Global Convergence of Deep Galerkin and PINNs Methods for Solving Partial Differential Equations
- SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions
- Imposing Boundary Conditions on Neural Operators via Learned Function Extensions
- Approximation Capabilities of Feedforward Neural Networks with GELU Activations
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