{"id":223358,"date":"2025-10-14T03:31:05","date_gmt":"2025-10-14T08:31:05","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/10\/a-new-method-to-build-more-energy-efficient-memory-devices-could-lead-to-a-sustainable-data-future"},"modified":"2025-10-14T03:31:05","modified_gmt":"2025-10-14T08:31:05","slug":"a-new-method-to-build-more-energy-efficient-memory-devices-could-lead-to-a-sustainable-data-future","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/10\/a-new-method-to-build-more-energy-efficient-memory-devices-could-lead-to-a-sustainable-data-future","title":{"rendered":"A new method to build more energy-efficient memory devices could lead to a sustainable data future"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/a-new-method-to-build-more-energy-efficient-memory-devices-could-lead-to-a-sustainable-data-future2.jpg\"><\/a><\/p>\n<p>A research team led by Kyushu University has developed a new fabrication method for energy-efficient magnetic random-access memory (MRAM) using a new material called thulium iron garnet (TmIG) that has been attracting global attention for its ability to enable high-speed, low-power information rewriting at room temperature. The team hopes their findings will lead to significant improvements in the speed and power efficiency of high-computing hardware, such as that used to power generative AI.<\/p>\n<p>The work is <a href=\"https:\/\/doi.org\/10.1038\/s44306-025-00105-z\" target=\"_blank\">published<\/a> in npj Spintronics.<\/p>\n<p>The rapid spread of generative AI has made the power demand from data centers a global issue, creating an urgent need to improve the energy efficiency of the hardware that runs the technology.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A research team led by Kyushu University has developed a new fabrication method for energy-efficient magnetic random-access memory (MRAM) using a new material called thulium iron garnet (TmIG) that has been attracting global attention for its ability to enable high-speed, low-power information rewriting at room temperature. The team hopes their findings will lead to significant [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[48,6,17],"tags":[],"class_list":["post-223358","post","type-post","status-publish","format-standard","hentry","category-particle-physics","category-robotics-ai","category-sustainability"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/223358","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\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=223358"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/223358\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=223358"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=223358"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=223358"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}