Success Stories: Here Comes Materials Informatics
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 [...] The post Success Stories: Here Comes Materials Informatics first appeared on Connected World.
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.
The post Success Stories: Here Comes Materials Informatics first appeared on Connected World.
