{"id":244603,"date":"2026-09-29T01:30:10","date_gmt":"2026-09-29T06:30:10","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/09\/self-powered-artificial-synapse-combines-sensing-and-memory-in-flexible-electronics"},"modified":"2026-09-29T01:30:10","modified_gmt":"2026-09-29T06:30:10","slug":"self-powered-artificial-synapse-combines-sensing-and-memory-in-flexible-electronics","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/09\/self-powered-artificial-synapse-combines-sensing-and-memory-in-flexible-electronics","title":{"rendered":"Self-powered artificial synapse combines sensing and memory in flexible electronics"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/self-powered-artificial-synapse-combines-sensing-and-memory-in-flexible-electronics.jpg\"><\/a><\/p>\n<p>Neuromorphic devices, which are designed to emulate aspects of biological neural networks, are promising candidates for low-power, intelligent sensing technologies, including wearable applications.<\/p>\n<p>Among the architectures explored for neuromorphic computing, graphene-channel ion-gel-gated transistors (g-IGTs) are attractive because of their electronic properties, flexibility, low-voltage operation and ability to modulate synaptic weights to mimic biological synapses. However, most current g-IGTs still rely on external power supplies, limiting their practical use in wearable neuromorphic systems.<\/p>\n<p>To address this challenge, a research team led by professor Sejoon Lee of the Department of System Semiconductor at Dongguk University in South Korea has developed a battery-free, self-powered, flexible g-IGT device driven by a triboelectric nanogenerator (TENG). <a href=\"https:\/\/techxplore.com\/news\/2024-03-harvesting-human-motion-energy-wearable.html?utm_source=embeddings&utm_medium=related&utm_campaign=internal\" rel=\"related\">TENGs<\/a> convert mechanical stimuli, such as body movement, touch or vibration, into electrical signals.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Neuromorphic devices, which are designed to emulate aspects of biological neural networks, are promising candidates for low-power, intelligent sensing technologies, including wearable applications. Among the architectures explored for neuromorphic computing, graphene-channel ion-gel-gated transistors (g-IGTs) are attractive because of their electronic properties, flexibility, low-voltage operation and ability to modulate synaptic weights to mimic biological synapses. However, [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,4,6,1977],"tags":[],"class_list":["post-244603","post","type-post","status-publish","format-standard","hentry","category-biological","category-nanotechnology","category-robotics-ai","category-wearables"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/244603","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=244603"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/244603\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=244603"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=244603"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=244603"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}