Artificial intelligence is now discovering entirely new materials for the next generation of batteries
In short: For two centuries, battery innovation relied on slow, costly trial and error. Now, AI is accelerating discovery by simulating new crystal structures, optimizing electrode design, and predicting battery health with forensic precision. This talk explores how modern algorithms are revolutionizing energy storage from the atomic level upward.
The presentation features three experts detailing how AI transforms battery science. Aaron Walsh describes AI as a digital alchemist capable of simulating billions of potential crystal structures to identify materials that do not yet exist. Sam Cooper focuses on the electrode, using machine learning to reverse-engineer the ideal internal microstructure that bridges the gap between atomic properties and real-world performance.
Mona Faraji Niri demonstrates how AI functions as a forensic investigator, analyzing sensor data to uncover hidden faults and forecast the lifespan of batteries. The discussion, chaired by Dr. James Le Houx, connects these modern AI-driven labs to the foundational electrochemical experiments conducted by Humphry Davy and Michael Faraday at the Royal Institution 200 years ago.
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Sources
- Summary by Intellect · source: AI is inventing materials that don't exist yet | with the Faraday Institution
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