Advancements in Immersive Technologies and XR Integration This year’s Winter Simulation Conference really highlighted how far ...

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

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

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

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein engineering for cancer treatment. Operating significantly faster than traditional all ...

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

Moog uses advanced modeling and simulation tools—such as Simulink, MATLAB and its proprietary MAST library—to design and optimize high-performance motion control systems. Real-world applications ...