2 papers
cs.LG2026
Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime
Weinan Wang, Bowen Gang, Hao Deng
In this paper, we propose a perturbation-based conformal prediction framework for uncertainty quantification in operator learning, with a focus on the 2D Navier--Stokes equations.…
physics.comp-ph2025
A Data-Driven Method for Modeling Creep-Fatigue Stress-Strain Behavior Using Neural ODEs
Hao Deng, Mark C. Messner
In this paper, we introduce a data-driven machine learning approach for modeling one-dimensional stress-strain behavior under cyclic loading, utilizing experimental data from the n…