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

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, ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

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

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 Department of Chemistry and Materials Science is looking for: ...

The product development process can be improved with single-physics simulation, multiphysics simulation and simulation apps. This article looks at three real-world examples that show how integrating ...

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 ...

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 ...

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 ...