How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...

The increasing penetration of renewable energy sources, such as wind and solar power, has intensified the demand for flexibility in modern energy systems.

Understanding drug resistance is crucial. Quantum modeling offers insights into molecular interactions, enhancing drug ...

A major scientific advance in protein modeling developed by Microsoft Research AI for Science, has been published in Science. The study introduces BioEmu, a generative deep learning system that ...

Researchers from BIFOLD and Google DeepMind have developed MD-ET, a transformer-based molecular dynamics model that achieves state-of-the-art results without encoding traditional physical constraints ...

Simulation games in 2026 are increasingly powered by advanced AI agents, procedural generation, and multi-model systems that adapt to player behavior in real time. Developers are integrating large ...

The semiconductor industry has greatly simplified analysis by consolidating around a small number of models and abstractions, but that capability is breaking down both at the implementation level and ...

Green hydrogen is a key area of opportunity in the energy transition. However, the use of pipelines to transport this energy ...

Conveyors play a key role in the endless quest by distributors and manufacturers for improved efficiency and productivity. So it should come as no surprise that the logistics sector would be drawn to ...