Scientists at the Argonne National Laboratory are using artificial intelligence in a quest to rethink battery design
is a three-part process. You need a positive electrode, you need a negative electrode, and – for the critical connection – you need an electrolyte that works with both electrodes.
Shirley Meng, chief scientist at the Argonne Collaborative Center for Energy Storage Science and professor of molecular engineering at the Pritzker School of Molecular Engineering of The University of Chicago explained, “While we are locked into a particular concept for electrolytes that will work with today’s commercial batteries, for beyond-lithium-ion batteries the design and development of different electrolytes will be crucial, Electrolyte development is one key to the progress we will...
The near-term goal, according to the team, is to design electrolytes with the right chemical and electrochemical properties to enable the optimal formation of interphases at both the battery’s positive and negative electrodes. Ultimately, however, researchers believe that they may be able to develop a group of solid electrolytes that would be stable at extreme temperatures and enable batteries with high energy to have much longer lifetimes.
In order to speed up their hunt for electrolyte breakthroughs, scientists have turned to the power of advanced characterization and artificial intelligence to search digitally through many more possible candidates, accelerating what had been a slow and painstaking process of laboratory synthesis.
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