Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow approaches.

In this article, we speak to a number of leading mainstream CAD developers to bring you a sneak peek into this future..

Key TakeawaysDigital twins are ultra-accurate computer-based simulations of complex physical systems used for exploring "what ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

2026 will be a transformative year in this area — one where force fields redefine the boundaries of atomistic simulation, making previously unthinkable modeling and discoveries routine. With workflows ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

NEW YORK, NY, UNITED STATES, January 30, 2026 /EINPresswire.com/ -- The surgical robotics industry is undergoing a ...

Brooks Consulting's Chuck Brooks, a GovCon Expert, explains how AI and quantum technologies are becoming mission-critical ...

In mid-2023, around the time Elon Musk rebranded Twitter as X but before he discontinued free academic access to the platform ...

A new study reveals how advanced carbon based nanofluids could significantly improve heat transfer in technologies ranging from microelectronics to ...

Raja Shankar, VP of machine learning at IQVIA, discusses which AI capabilities sponsors are most likely to adopt first to ...

NTN announced that it has integrated machine learning technology into its automated calculation system used for designing 3rd‑generation hub bearings, marking the first use of this approach in the ...