{"id":219321,"date":"2025-08-03T00:55:42","date_gmt":"2025-08-03T05:55:42","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/08\/ai-tools-identify-promising-alternatives-to-lithium-ion-batteries-for-energy-storage"},"modified":"2025-08-03T00:55:42","modified_gmt":"2025-08-03T05:55:42","slug":"ai-tools-identify-promising-alternatives-to-lithium-ion-batteries-for-energy-storage","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/08\/ai-tools-identify-promising-alternatives-to-lithium-ion-batteries-for-energy-storage","title":{"rendered":"AI tools identify promising alternatives to lithium-ion batteries for energy storage"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-tools-identify-promising-alternatives-to-lithium-ion-batteries-for-energy-storage.jpg\"><\/a><\/p>\n<p>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.<\/p>\n<p>In research published in <a href=\"https:\/\/www.cell.com\/cell-reports-physical-science\/fulltext\/S2666-3864(25)00264-4\" target=\"_blank\"><i>Cell Reports Physical Science<\/i><\/a>, the NJIT team led by Professor Dibakar Datta successfully applied generative AI techniques to rapidly discover new porous materials capable of revolutionizing multivalent-ion batteries. These batteries, using abundant elements like magnesium, calcium, aluminum and zinc, offer a promising, cost-effective alternative to <a href=\"https:\/\/techxplore.com\/tags\/lithium-ion+batteries\/\" rel=\"tag\" class=\"\">lithium-ion batteries<\/a>, which face global supply challenges and sustainability issues.<\/p>\n<p>Unlike traditional lithium-ion batteries, which rely on lithium ions that carry just a single positive charge, multivalent-ion batteries use elements whose ions carry two or even three positive charges. This means multivalent-ion batteries can potentially store significantly more energy, making them highly attractive for future energy storage solutions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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. In research published in Cell Reports Physical Science, the NJIT team led by Professor Dibakar Datta successfully applied generative AI techniques to rapidly discover new [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,17],"tags":[],"class_list":["post-219321","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-sustainability"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/219321","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=219321"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/219321\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=219321"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=219321"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=219321"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}