Stanford University researchers have identified the replacement of lithium-ion batteries certain explosions reported earlier. Scientist approached the solid electrolytes to replace the volatile liquids used in laptops, smartphones and other electronic devices. The result is off course, based on artificial intelligence and machine learning.
Liquid electrolytes are cheap and overheat when lithium ions are shuttle back and forth between battery’s negative and positive electrodes. Although these batteries conduct well but easily catch fire when overheats and short-circuited. The issue of lithium-ion batteries explosion was the leading cause to recall nearly 2 million Samsung Galaxy Note7 smartphones.
However, the solid electrolyte will adds stability as the solid is far less likely to vaporize. The solid will be structurally stronger thus also provides rigidity. After years of trial and error, researcher finally came up with inexpensive solid that would perform as solid at room temperature.
The scientists turned to AI and machine learning instead of testing individual compound. The trained computer algorithm behaves just like a facial-recognition algorithm. There were tens of thousands of lithium-containing compounds which were unknown and could not be possibly tested. The computational model allowed screening potential candidate in a million times much faster.
Screening criteria of best possible lithium-ion batteries
The promising material screen was depend upon the stability, abundance, cost, ability to conduct lithium ions and re-route electrons through battery’s circuit. The database of the candidate materials was select from The Material’s project where the chemical and physical properties of thousands of materials are present. Among the 12,000 lithium-containing compounds only 21 promising solid electrolytes are selected.
The scientist’s further laboratory tests these selected compounds to access the potential one in the real-world conditions. As the amount of data and computers improves, the innovation is expanding exponentially. The approach is to deal effectively with kinds of materials problems and research investments in this field whether it’s batteries, fuel cells or anything else. It’s really exciting to screen full spectrum candidate material.
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