{"id":116616,"date":"2020-12-03T20:22:35","date_gmt":"2020-12-04T04:22:35","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/12\/a-machine-learning-solution-for-designing-materials-with-desired-optical-properties"},"modified":"2020-12-03T20:22:35","modified_gmt":"2020-12-04T04:22:35","slug":"a-machine-learning-solution-for-designing-materials-with-desired-optical-properties","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/12\/a-machine-learning-solution-for-designing-materials-with-desired-optical-properties","title":{"rendered":"A machine learning solution for designing materials with desired optical properties"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/a-machine-learning-solution-for-designing-materials-with-desired-optical-properties.jpg\"><\/a><\/p>\n<p>Understanding how matter interacts with light\u2014its optical properties\u2014is critical in a myriad of energy and biomedical technologies, such as targeted drug delivery, quantum dots, fuel combustion, and cracking of biomass. But calculating these properties is computationally intensive, and the inverse problem\u2014designing a structure with desired optical properties\u2014is even harder.<\/p>\n<p>Now Berkeley Lab scientists have developed a machine learning model that can be used for both problems\u2014calculating <a href=\"https:\/\/phys.org\/tags\/optical+properties\/\" rel=\"tag\" class=\"\">optical properties<\/a> of a known structure and, inversely, designing a structure with desired optical properties. Their study was published in Cell Reports Physical Science.<\/p>\n<p>\u201cOur model performs bi-directionally with high accuracy and its interpretation qualitatively recovers physics of how metal and dielectric materials interact with light,\u201d said corresponding author Sean Lubner.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Understanding how matter interacts with light\u2014its optical properties\u2014is critical in a myriad of energy and biomedical technologies, such as targeted drug delivery, quantum dots, fuel combustion, and cracking of biomass. But calculating these properties is computationally intensive, and the inverse problem\u2014designing a structure with desired optical properties\u2014is even harder. Now Berkeley Lab scientists have developed [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1617,6],"tags":[],"class_list":["post-116616","post","type-post","status-publish","format-standard","hentry","category-quantum-physics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/116616","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=116616"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/116616\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=116616"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=116616"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=116616"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}