DeepONet

A new arXiv preprint (arXiv:2608.06428v1) extends Topological DeepONets to use continuous linear functionals from the continuous dual of Hausdorff locally convex spaces, enabling fixed and adaptive fu…

Researchers introduced NOTES, a framework combining neural operators with evolutionary strategy, achieving over 95% efficiency in nanophotonic beam-deflector design by reducing dimensionality from 256…

Researchers proposed a scalable operator-learning framework, KL-DNN, for large-scale PDE problems, achieving 1.1 psi RMSE for pressure and 0.0146 for CO2 saturation in geological carbon storage simula…