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 ...

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 ...

One of the most critical safety concerns for electric vehicles is keeping their batteries cool, as temperature spikes can lead to dangerous consequences. New research led by a University of Arizona ...

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, ...

National Institute of Standards and Technology effort uses machine learning to identify telltale sound of lithium-ion batteries hitting flash point. Two NIST researchers say they have trained a ...

Batteries, like humans, require medicine to function at their best. In battery technology, this medicine comes in the form of electrolyte additives, which enhance performance by forming stable ...

Discover how a new machine learning method can help scientists predict which MOF structures are good candidates for advanced ...

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 ...