Yes! Will Gen AI (artificial intelligence) and machine learning—specifically materials informatics—help reinvent the battery industry? The answer to this probing question is a resounding, yes. And new methods for discovering electrolytes, electrode, current collector, and packaging materials, couldn’t come at a better time. IDTechEx points to two ways this can help.
For one, a developed use case is virtual screening, which is when a database of candidate materials has already been generated, and agents can predict properties and remove low-potential materials, which reduces the number of materials that need further testing.
A second emerging technology is de novo design, describing materials informatics that uses generative AI to design entirely novel materials.
Here is how this can help:
- Keep up with the rising energy density.
- Address sustainability demands.
- Revolutionize the battery industry.
Looking to the future, we are going to see new methods for discovery in the battery industry—and machine learning, gen AI, and material informatics will have a part to play in all of it. Keep an eye on this trend in the future.
