AI discovers new energy storage materials

AI is enabling breakthroughs in materials research for next-generation batteries.

AI revolutionizes the search for battery materials

Researchers at New Jersey Institute of Technology are using artificial intelligence to discover new materials that could replace lithium-ion batteries. Their study in Cell Reports Physical Science focuses on multivalent-ion batteries that use elements like magnesium, calcium, aluminum, and zinc for energy storage instead of lithium. This new approach overcomes challenges of finding materials capable of efficiently accommodating these larger ions. Professor Dibakar Datta explains how their dual-AI model allows rapid exploration of new crystal structures, leading to five promising candidates for sustainable and powerful energy storage.

The work from NJIT marks a significant advancement in the race for more sustainable energy solutions. As the world faces a critical need to transition away from lithium-ion dependency, these AI-discovered materials could change everything. This dual-AI approach not only speeds up the material discovery process but also sets a precedent for future explorations in a variety of fields, expanding beyond just battery technology. If successfully commercialized, multivalent-ion batteries could address both cost and supply chain concerns currently associated with lithium.

Highlights

The future of energy storage may be shaped by these AI-driven discoveries.