3 papers
cs.LG2026
Equation Recast for Canonical Operator Learning Across Parametric PDEs
Qiyun Cheng, Valentin Duruisseaux, Cesar F. Clauser +7
Learning solution operators across broad parameter ranges can require substantial coverage of both input functions and physical parameters, particularly for purely data-driven para…
physics.comp-ph2026
Surrogate Modeling for Neutron Transport: A Neural Operator Approach
Md Hossain Sahadath, Qiyun Cheng, Shaowu Pan +1
This work introduces a neural operator based surrogate modeling framework for neutron transport computation. Two architectures, the Deep Operator Network (DeepONet) and the Fourier…
cs.LG2025
MD-PNOP: Equation-Recast Neural Operators for Minimal-Data Extrapolation and PDE Solver Acceleration
Qiyun Cheng, Md Hossain Sahadath, Huihua Yang +2
The computational overhead of traditional numerical solvers for partial differential equations (PDEs) remains a critical bottleneck for large-scale parametric studies and design op…