Abstract: Neural operators have emerged as a powerful tool for learning mappings between function spaces, particularly for solving partial differential equations (PDEs). This study introduces a novel ...
The data and code for the paper Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators. This repository contains reference implementations ...
Abstract: Accurate monitoring of power module spatial temperature (PMST) remains a critical challenge in power electronics. This letter proposes a Fourier neural operator-based thermal model (FNO-TM) ...
Simulating vehicle-bridge interaction (VBI) dynamics is critical in bridge engineering for investigating structural performance, dynamic properties, and impact factor. However, the high computational ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results