X-ray method predicts anion behavior, opening path to longer-lasting batteries and AI-assisted chemistry
A new way of measuring how materials interact at the atomic level could help scientists develop better-performing, longer-lasting batteries.
Scientists at the University of East London have developed a new method to predict how different chemicals, specifically anions, behave at the atomic level. This discovery could lead to the creation of longer-lasting batteries and other advancements in chemistry. Anions, negatively charged particles, play a crucial role in chemical reactions, including those found in battery production.
By using X-ray photoelectron spectroscopy (XPS), researchers measured how tightly specific atoms within anions hold onto their electrons. Utilizing computer modeling, they recreated these measurements virtually, enabling predictions of the behavior of potential battery materials without extensive laboratory testing. The method could also pave the way for a database of various elements, which could be utilized by machine learning and artificial intelligence to accelerate chemical discoveries.
Dr. Richard Matthews, a senior lecturer at UEL, emphasized that this new approach provides a clearer understanding of anions' interactions with other materials, opening up exciting possibilities for optimizing battery performance and beyond.
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