Researchers have developed a powerful computational framework that shows how carefully optimized nanotube shapes can amplify ...

A team of researchers affiliated with UNIST has made a significant breakthrough by mathematically proving that a special type of vortex pair, called the Sadovskii vortex patch, can exist within ideal ...

Abstract: A machine-learning-assisted optimization (MLAO) method for antenna geometry design (AGD) (MLAO-AGD) is proposed. By combining machine learning (ML) methods, including a convolutional neural ...

Abstract: Existing research on geometry optimization of switched reluctance motor (SRM) using machine learning algorithms has focused only on the machine’s static characteristics. The dynamic ...

This repository contains the code, data, and optimized parameters for developing a ReaxFF force field for β-Ga₂O₃ molecular dynamics simulations. The optimization uses scikit-optimize's Gaussian ...

This repository contains an extension for the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) that implements a quantum correction pair potential based on Feynman-Hibbs corrected ...

It’s no secret that many of us are not too fond of mathematics and geometry, and that it is often too complex. But even so, it can be pretty mind-blowing to look back in history and discover the ...