We integrate key concepts from unsupervised deep spectral methods, which combine spectral graph theory with deep learning methods. We utilize self-supervised transformer features for spectral ...

Karst wetlands, with their distinctive calcium-rich soils and dynamic hydrology, face growing ecological challenges due to biodiversity loss, habitat degradation, and climate change. Accurate ...

Abstract: SpecFEM3D using the spectral element method is widely used because of its compatibility with simulation in multiple media and high accuracy. However, its running speed on domestic ARM chip ...

Please cite the above manuscript if you use or adapt the code in this repository or that of the associated solvers implemented in TrixiAtmo.jl in your research. Any questions regarding the content of ...

We'll look at why it's useful to split the body being analysed into small elements and the different elements types that can be used. We'll also cover the key concept behind the finite element method, ...

Abstract: For the coupled thermo-mechanical simulation of complex electronic devices, we propose a tetrahedral spectral element method (TSEM), which truly combines the high accuracy of spectral ...

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...

This study presents a novel method for wideband acoustic analysis using the Boundary Element Method (BEM), addressing significant computational challenges. Traditional BEM requires repetitive ...