AI tools identify promising alternatives to lithium-ion batteries for energy storage
ESSEX COUNTY, NEW JERSEY, AUG 2 – NJIT researchers applied generative AI to identify five new porous materials for multivalent-ion batteries using abundant elements, addressing lithium-ion supply and sustainability challenges.
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AI just found 5 powerful materials that could replace lithium batteries
AI is helping scientists crack the code on next-gen batteries that could replace lithium-ion tech. By discovering novel porous materials, researchers may have paved the way for more powerful and sustainable energy storage using abundant elements like magnesium.
AI tools identify promising alternatives to lithium-ion batteries for energy storage
Researchers from New Jersey Institute of Technology (NJIT) have used artificial intelligence to tackle a critical problem facing the future of energy storage: finding affordable, sustainable alternatives to lithium-ion batteries.
NJIT Researchers Use AI To Accelerate Breakthrough In Next-Gen Battery Technology - EBNW Story
Researchers at the New Jersey Institute of Technology (NJIT) have achieved a significant breakthrough in the search for sustainable alternatives to lithium-ion batteries by harnessing the power of artificial intelligence. In a study published in Cell Reports Physical Science, the team led by Professor Dibakar Datta used advanced generative AI techniques to identify new porous materials ideally suited for use in multivalent-ion batteries — a pote…
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