MENU

AI targets 21 new solid electrolytes for less flammable batteries

AI targets 21 new solid electrolytes for less flammable batteries

Technology News |
By Nick Flaherty



“Electrolytes shuttle lithium ions back and forth between the battery’s positive and negative electrodes,” said Austin Sendek, a doctoral candidate in applied physics. “Liquid electrolytes are cheap and conduct ions really well, but they can catch fire if the battery overheats or is short-circuited by puncturing. The main advantage of solid electrolytes is stability. Solids are far less likely to blow up or vaporize than organic solvents. They’re also much more rigid and would make the battery structurally stronger.”

Despite years of laboratory trial and error, researchers have yet to find an inexpensive solid material that performs as well as liquid electrolytes at room temperature. So the team used AI and machine learning to build predictive models from experimental data. They trained a computer algorithm to learn how to identify good and bad compounds based on existing data, much like a facial-recognition algorithm learns to identify faces after seeing several examples.

“The number of known lithium-containing compounds is in the tens of thousands, the vast majority of which are untested,” Sendek said. “Some of them may be excellent conductors. We developed a computational model that learns from the limited data we already have, and then allows us to screen potential candidates from a massive database of materials about a million times faster than current screening methods.”

To build the model, Sendek spent more than two years gathering all known scientific data about solid compounds containing lithium.

“Austin collected all of humanity’s wisdom about these materials, and many of the measurements and experimental data going back decades,” said Evan Reed, an assistant professor of materials science and engineering. “He used that knowledge to create a model that can predict whether a material will be a good electrolyte. This approach enables screening of the full spectrum of candidate materials to identify the most promising materials for further study.”

The model used several criteria to screen promising materials, including stability, cost, abundance and their ability to conduct lithium ions and re-route electrons through the battery’s circuit. Candidates were selected from The Materials Project, a database that allows scientists to explore the physical and chemical properties of thousands of materials.

“We screened more than 12,000 lithium-containing compounds and ended up with 21 promising solid electrolytes,” said Sendek. “It only took a few minutes to do the screening. The vast majority of my time was actually spent gathering and curating all the data, and developing metrics to define the confidence of model predictions.”

The researchers eventually plan to test the 21 materials in the laboratory to determine which are best suited for real-world conditions.

“Our approach has the potential to address many kinds of materials problems and increase the effectiveness of research investments in these areas,” said Reed. “As the amount of data in the world increases and as computers improve, our ability to innovate is going to increase exponentially. Whether it’s batteries, fuel cells or anything else, it’s a really exciting time to be in this field.”

www.stanford.edu

Related stories: 

If you enjoyed this article, you will like the following ones: don't miss them by subscribing to :    eeNews on Google News

Share:

Linked Articles
10s