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, ...

LEMONT, Ill.--(BUSINESS WIRE)--Batteries, like humans, require medicine to function at their best. In battery technology, this medicine comes in the form of electrolyte additives, which enhance ...

Alfred University’s Inamori School of Engineering recently hosted a short course on battery machine learning, which was attended by a group of students and representatives of a Binghamton-area company ...

New research proposes a way to predict and prevent temperature spikes and fires in the lithium-ion batteries commonly used to power electric vehicles. One of the most critical safety concerns for ...

In a recent study in the Journal of Materials Chemistry A, a research team led by Professor Shinichi Komaba, Ms. Saaya Sekine, and Dr. Tomooki Hosaka from Tokyo University of Science (TUS), in ...

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

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