PatternFormer: Learning Multiple Solution Patterns in Reaction--Diffusion Systems
Abstract Many nonlinear models across physics, chemistry, and biology exhibit multiple solutions for the same parameters, and capturing this entire solution set is essential for understanding pattern-forming systems. Yet existing learned surrogates are fundamentally single-valued: neural operators map each parameter to...