Solid electrolytes are safer, have higher capacity, and charge faster. However, finding suitable materials for solid-state electrolytes is difficult due to the multitude of options and the complex relationships between their structure and performance.

The new system, called DDSE, includes data on more than 1,000 candidate materials and allows scientists to determine relationships between different parameters. Using machine learning, scientists were able to analyze large amounts of data and make predictions about the properties of new materials without resorting to expensive trial and error methods.

The developed system has already made it possible to identify promising directions in the development of solid-state electrolytes and identify the weak points of existing materials.

Source: Ferra

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