AI RESEARCH
Symplectic Neural Operators for Learning Infinite Dimensional Hamiltonian Systems
arXiv CS.AI
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ArXi:2605.15881v1 Announce Type: cross The modeling and simulation of infinite-dimensional Hamiltonian systems are central problems in mathematical physics and engineering,. however. they pose significant computational and structural challenges for standard data-driven architectures. In this work, we