{"id":213221,"date":"2025-05-04T05:11:41","date_gmt":"2025-05-04T10:11:41","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/05\/how-can-we-optimize-solid-state-batteries-try-asking-ai"},"modified":"2025-05-04T05:11:41","modified_gmt":"2025-05-04T10:11:41","slug":"how-can-we-optimize-solid-state-batteries-try-asking-ai","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/05\/how-can-we-optimize-solid-state-batteries-try-asking-ai","title":{"rendered":"How can we optimize solid-state batteries? Try asking AI"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/how-can-we-optimize-solid-state-batteries-try-asking-ai2.jpg\"><\/a><\/p>\n<p>Scientists are racing against time to try and create revolutionary, sustainable energy sources (such as solid-state batteries) to combat climate change. However, this race is more like a marathon, as conventional approaches are trial-and-error in nature, typically focusing on testing individual materials and set pathways one by one.<\/p>\n<p>To get us to the finish line faster, researchers at Tohoku University developed a data-driven AI framework that points out potential solid-state electrolyte (SSE) candidates that could be \u201cthe one\u201d to create the ideal sustainable energy solution.<\/p>\n<p>This model does not only select optimal candidates, but can also predict how the reaction will occur and why this candidate is a good choice\u2014providing interesting insights into potential mechanisms and giving researchers a huge head start without even stepping foot into the lab.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Scientists are racing against time to try and create revolutionary, sustainable energy sources (such as solid-state batteries) to combat climate change. However, this race is more like a marathon, as conventional approaches are trial-and-error in nature, typically focusing on testing individual materials and set pathways one by one. To get us to the finish line [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[493,6,17],"tags":[],"class_list":["post-213221","post","type-post","status-publish","format-standard","hentry","category-climatology","category-robotics-ai","category-sustainability"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/213221","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\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=213221"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/213221\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=213221"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=213221"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=213221"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}