SCNO: Spiking Compositional Neural Operator — Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
arXiv:2604.11625v1 Announce Type: new
Abstract: Neural operators have emerged as powerful surrogates for partial differential equation (PDE) solvers, yet they are typically trained as monolithic models for individual PDEs, require energy-intensive GPU…