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A research team at Texas A&M University thought of incorporating carbon nanotubes into the electrodes of lithium metal batteries to achieve higher and safer charging.

With the advancement of battery technology, the time cost of testing battery cycles will become much longer. Therefore, in order to obtain more accurate data, using AI algorithms to predict battery cycles may be of great help to battery research and development.

In the search for a reliable, quick-charging, cold-weather battery for automobiles, a self-assembling, thin layer of electrochemically active molecules may be the solution, according to a team or researchers.