04:00
2026-06-30
arxiv.org
machine-learning
A Trainable-by-Parts Operator Learning Framework: Bridging DeepONet and Karhunen-Loeve Expansions for Large-Scale Applications
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…