Researchers at the Center for Computational Sciences, University of Tsukuba, have developed an accessible platform to overcome the limitations of conventional static docking simulations, offering new ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

Most materials, especially metals and ceramics, are crystals. Their atoms are arranged in three-dimensional lattices that repeat the same exact pattern, over and over again. But there's a well-known ...

DeepMind’s AlphaProof system solved four out of six problems at the 2024 International Mathematical Olympiad, generating ...

Explore three different mathematical methods for solving the simple harmonic oscillator, one of the most important models in physics and applied mathematics. This guide compares the approaches step by ...

Abstract: Data-driven deep learning techniques have made notable advancements in modeling electromagnetic (EM) scattering problems. owever, its accuracy on the testing dataset can be heavily reduced ...

For high-dimensional parametric problems, data-driven surrogate models can be generated from simulation or experimental data to quickly evaluate quantities of interest, in support of applications such ...

One way to build these skills is to move from theory-based education to simulation-based education, though this can require an organizational shift in how knowledge is transferred. As AI systems ...

The year is 2008. I’m in eighth grade, watching Cycle 4 of Australia’s Next Top Model as it airs. The girls are shooting a campaign for pyjama designer Peter Alexander. Eighteen-year-old Rebecca ...