Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

A rotating cylinder with its side cut away to expose the core, showing patches of purple, blue, green, yellow, and orange that are dense in the middle and more diffuse toward the edges. This rotating ...