Physics-based predictive tool will speed up battery and superconductor research

Researchers from the University of Tokyo have developed a physics-based predictive tool that simplifies the identification of stable intercalated materials, essential in lithium-ion batteries and superconductors. This new equation, validated against a database of 9,000 compounds, offers a straightforward method for predicting the stability of these materials, significantly speeding up research and development in electronics and energy storage devices. The work, published in ACS Physical Chemistry Au, promises to reduce the laborious experimental work traditionally required, facilitating faster innovation in high-performance devices. For further details, read the full article on EurekAlert: