IEEE

Space–Frequency Cross-Attention Node Feature Optimization Graph Neural Operator for Partial Differential Equations

Abstract: Neural operators, such as graph neural operators (GNOs) and Fourier neural operators (FNOs), directly learn the mapping from any functional parametric dependence to the solution and have ...
IEEE

Graph Neural Network-based Surrogate Models for Finite Element Analysis

Abstract: Current simulation of metal forging processes use advanced finite element methods. Such methods consist of solving mathematical equations, which takes a significant amount of time for the ...
GitHub

GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.

GCA-ROM requires pytorch, pyg, matplotlib, scipy and h5py. They can be easily installed via pip or conda. In the notebook folder, one can find the *.ipynb files ...
Frontiers

Sweat sodium composition and sweat loss estimation through wearable sensors and predictive equations in dry and humid hot conditions

Introduction: Individualized sweat testing is essential for tailoring hydration and nutrition strategies, as water and sodium losses during exercise vary greatly across athletes. The validity of a ...
SciELO

Chemical degradation kinetics of fibrates: bezafibrate, ciprofibrate and fenofibrate

Fibrates are drugs used for the treatment of hypertriglyceridemia and for the prevention of atherosclerosis. Three drugs in the fibrate class, ciprofibrate, fenofibrate and bezafibrate, were chosen ...
GitHub

sifanexisted/fourier_neural_operator

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