SPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications

ArXi:2603.21674v1 Announce Type: cross Energy efficiency remains a critical challenge in deploying physics-informed operator learning models for computational mechanics and scientific computing, particularly in power-constrained settings such as edge and embedded devices, where repeated operator evaluations in dense networks incur substantial computational and energy costs. To address this challenge, we