AI trained to find new useful materials

Researchers at the University of Liverpool have created AI that reduces the time and effort needed to find new materials.

A new AI has already discovered, for example, a family of solid-state materials that conduct lithium. This will assist in the development of long-range solid-state batteries with increased safety for electric vehicles.

It is difficult and time-consuming to discover new useful materials, since there are an infinite number of combinations of compounds, but it is impossible to know for sure which one will turn out to be the most promising.

The authors of the new work from the University of Liverpool, led by Professor Matt Rossensky, have developed a new AI to solve this problem.

The algorithm explores the relationships between known materials and ranks combinations that could potentially be useful. This makes experiments much more efficient.

This collaborative approach combines the speed of computer analysis, expert knowledge, and the critical thinking of researchers. All this together can give excellent results.

Matt Rossensky, professor at the University of Liverpool
The authors of the new work believe that their algorithm will force the world community to reconsider the small amount of popular materials that are used for batteries and gadgets today. AI will help create new efficient connections for the technology of the future, Rossensky notes.

If you have found a spelling error, please, notify us by selecting that text and pressing Ctrl+Enter.

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Alexandr Ivanov earned his Licentiate Engineer in Systems and Computer Engineering from the Free International University of Moldova. Since 2013, Alexandr has been working as a freelance web programmer.
Function: Web Developer and Editor
Alexandr Ivanov

Spelling error report

The following text will be sent to our editors: