3 citations · 3 across the 2 of their papers we have counts for
3 papers
physics.flu-dyn2026
Nested Fourier-enhanced neural operator for efficient modeling of radiation transfer in fires
Anran Jiao, Wengyao Jiang, Xiaoyi Lu +2
Computational fluid dynamics (CFD) has become an essential tool for predicting fire behavior, yet maintaining both efficiency and accuracy remains challenging. A major source of co…
quant-ph2024
Quantum DeepONet: Neural operators accelerated by quantum computing
Pengpeng Xiao, Muqing Zheng, Anran Jiao +2
In the realm of computational science and engineering, constructing models that reflect real-world phenomena requires solving partial differential equations (PDEs) with different c…
math.NA2024★ 3 cited
Solving forward and inverse PDE problems on unknown manifolds via physics-informed neural operators
Anran Jiao, Qile Yan, Jhn Harlim +1
In this paper, we evaluate the effectiveness of deep operator networks (DeepONets) in solving both forward and inverse problems of partial differential equations (PDEs) on unknown…