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Hanshu Chen

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#machine learning Preprint Sep 2026

KernelOnet: An Interpretable Neural Operator Based on Kernel Functions

This paper proposes an interpretable neural operator framework, the Kernel Operator Network (KernelOnet), which incorporates kernel functions explicitly into the neural operator architecture, so that the operator structure matches the kernel-expansion form used in boundary-type kernel-expansion methods. Unlike traditio...

Yuan Guo, Han-Shu Chen, Qiang Xi et al. · 0 citations
Preprint Jul 2026

PIKFNO: An Interpretable Neural Operator Based on Physics Informed Kernel Function

This work proposes a new interpretable neural operator framework, termed the Physics Informed Kernel Function Neural Operator (PIKFNO), which explicitly incorporates physics informed kernel functions derived from governing equations into the neural operator architecture. Unlike traditional neural operators such as Deep...

Yuan Guo, Hanshu Chen, Zhuo-Jia Fu · 0 citations

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