{"621411":{"#nid":"621411","#data":{"type":"news","title":"Georgia Tech Receives $449,000 NSF Grant to Create \u2018Adaptive Fingerprints\u2019 for Materials Using Machine Learning","body":[{"value":"\u003Cp\u003ENew research that combines machine learning techniques and material science could lead to breakthroughs in making drugs more effective or materials easier to degrade.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearchers at the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003EMachine Learning Center at Georgia Tech (ML@GT)\u003Cstrong\u003E,\u003C\/strong\u003E\u003C\/a\u003E\u003Cstrong\u003E Le Song\u003C\/strong\u003E, associate professor in the \u003Ca href=\u0022http:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E, and \u003Cstrong\u003ERampi Ramprasad,\u003C\/strong\u003E professor in the \u003Ca href=\u0022http:\/\/www.mse.gatech.edu\/\u0022\u003ESchool of Materials Sciences and Engineering\u003C\/a\u003E), have recently been granted funding from the National Science Foundation (NSF) to further explore these possibilities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe grant, worth $449,999 over three years, will explore using machine learning algorithms and material science techniques to study the molecules of different materials.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMolecules have long been \u0026ldquo;mapped\u0026rdquo; by assigning them unique fingerprints, and Song and Ramprasad are working toward making the fingerprints adaptive.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;By creating an adaptive fingerprint that can accurately predict a material\u0026rsquo;s properties, we are then able to search for a good material design much faster than with past methods,\u0026rdquo; said Song, associate director of ML@GT.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe fingerprints will encode the atomic arrangement of a molecule which can then be mapped by a graph neural network. By mapping the fingerprints, scientists are able to take into account the symmetry that exists in materials and can design better deep learning models to further improve their work.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe duo\u0026rsquo;s research will focus on a particular class of material system including molecules, polymers, and materials made out of carbon, hydrogen, oxygen, and nitrogen.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Song and Ramprasad team up to receive grant from the National Science Foundation to further explore combining machine learning techniques and materials science."}],"uid":"34773","created_gmt":"2019-05-06 19:41:06","changed_gmt":"2019-05-06 20:07:59","author":"ablinder6","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-05-06T00:00:00-04:00","iso_date":"2019-05-06T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"621416":{"id":"621416","type":"image","title":"Two faculty members affiliated with the Machine Learning Center at Georgia Tech have teamed up to receive a grant from the National Science Foundation to further explore combining machine learning techniques and materials science.","body":null,"created":"1557173254","gmt_created":"2019-05-06 20:07:34","changed":"1557173254","gmt_changed":"2019-05-06 20:07:34","alt":"Portraits of Le Song and Rampi Ramprasad side by side.","file":{"fid":"236696","name":"lesong_rampi.jpg","image_path":"\/sites\/default\/files\/images\/lesong_rampi.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/lesong_rampi.jpg","mime":"image\/jpeg","size":218743,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/lesong_rampi.jpg?itok=5SBgwRf0"}}},"media_ids":["621416"],"groups":[{"id":"576481","name":"ML@GT"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EAllie McFadden\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003Eallie.mcfadden@cc.gatech.edu\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["allie.mcfadden@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}