DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning
DimOL: Dimensional Awareness as A New 'Dimension' in Operator Learning
In the realm of computational physics, an enduring topic is the numerical solutions to partial differential equations (PDEs). Recently, the attention of researchers has shifted towards Neural Operator methods, renowned for their capability to approximate ``operators'' -- mappings from functions to functions. Despite the universal approximation theorem within neural operators, …