AI was trained to find new useful materials. He has already opened four

New AI has already discovered, for example, a family of solid-state materials that conduct lithium. This will help with

development solid-state batteries with a long range and increased safety for electric vehicles. 

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

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

The algorithm explores 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 with the expert knowledge and critical thinking of researchers. All this together can give an excellent result. 

Matt Rossenski, Professor at the University of Liverpool

The authors of the new work believe that their algorithmwill force the world community to reconsider the small number of popular materials that are used for batteries and gadgets today. AI will help create new effective compounds for the technology of the future, notes Rossensky. 

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