Active Learning with Selective Time-Step Acquisition for PDEs
arXiv:2511.18107v2 Announce Type: replace-cross
Abstract: Accurately solving partial differential equations (PDEs) is critical to understanding complex scientific and engineering phenomena, yet traditional numerical solvers are computationally expensi…