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

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 ...

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 ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

The semiconductor industry is entering an era of unprecedented complexity, driven by advanced architectures such as Gate-All-Around (GAA) transistors, wide-bandgap materials like GaN and SiC, and ...

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 ...

Forbes contributors publish independent expert analyses and insights. Rachel Wells is a writer who covers leadership, AI, and upskilling. If you're looking for a job that pays six figures, is always ...

DETROIT ARSENAL—The Center for Army Analysis has given two of its prestigious Modeling & Simulation awards to the U.S. Army DEVCOM Ground Vehicle Systems Center. Both awards, in the team category—one ...