physics-informed machine learning;pinns;scientific machine learning;neural ODEs;neural operators;machine learning;neural networks;Matryoshka;multiphysics;multiscale;parametrizations;closure;subgrid;superstructures;partial differential equations;PDEs;differential equations;numerical solvers;physics;hpc;surrogate;reduced order modeling;model reduction;uncertainty quantification;climate;fluid dynamics;physics;computational physics
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers