A groundbreaking substance, potentially reducing lithium use in batteries by up to 70 percent, has been discovered through a collaboration between Microsoft and the Pacific Northwest National Laboratory (PNNL), part of the US Department of Energy.
Using AI and supercomputing, Microsoft researchers narrowed down 32 million inorganic materials to 18 promising candidates in less than a week, a process that traditionally could take over two decades.
The newly found material, N2116, is a solid-state electrolyte tested successfully in powering a lightbulb and holds the potential for sustainable energy storage.
Microsoft’s AI, trained on molecular data, played a pivotal role in accelerating the material discovery process.
The technology, focused on scientific databases and properties, guided researchers to select the most promising substance for further lab experimentation.
The journey, from material discovery to developing a working battery prototype, took less than nine months, showcasing the efficiency of AI and high-performance computing in the scientific innovation cycle.
The discovery is crucial in addressing the rising demand for lithium, often called “white gold,” a key component in lithium-ion batteries powering electric vehicles and smartphones.
The material shortage concerns and environmental impacts associated with lithium mining underscore the significance of finding alternative materials with reduced lithium content and robust energy storage capabilities.
Researchers believe AI and supercomputing will be essential in predicting and developing high-performing materials in the evolving battery technology landscape.
