The proposed architecture satisfies homogeneous Dirichlet boundary conditions independently of training whilst retaining expressivity of existing kernel-integral neural operators

we propose an architecture which, independently of training, satisfies homogeneous Dirichlet boundary conditions, whilst simultaneously retaining the expressivity of existing kernel-integral neural operator architectures

http://arxiv.org/abs/2608.27256v1