The paper introduces MNO, an FMM-inspired neural operator that jointly maps PDE coefficients, source terms, and boundary conditions to the solution, and shows it works on 1D Poisson, Darcy flow, and a nonlinear BVP.
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MNO : A Multi-modal Neural Operator for Parametric Nonlinear BVPs
The paper introduces MNO, an FMM-inspired neural operator that jointly maps PDE coefficients, source terms, and boundary conditions to the solution, and shows it works on 1D Poisson, Darcy flow, and a nonlinear BVP.