{"id":45124,"date":"2023-08-30T11:18:10","date_gmt":"2023-08-30T15:18:10","guid":{"rendered":"https:\/\/engineering.jhu.edu\/chembe\/?post_type=news&#038;p=45124"},"modified":"2023-11-01T09:00:25","modified_gmt":"2023-11-01T13:00:25","slug":"kevrekidis-part-of-faculty-team-that-receives-u-s-department-of-energy-award","status":"publish","type":"news","link":"https:\/\/engineering.jhu.edu\/chembe\/news\/kevrekidis-part-of-faculty-team-that-receives-u-s-department-of-energy-award\/","title":{"rendered":"Kevrekidis part of faculty team that receives U.S. Department of Energy Award"},"content":{"rendered":"<p><span>An interdisciplinary team of Whiting School faculty members has been chosen to receive a\u00a0<\/span><a href=\"https:\/\/content.govdelivery.com\/accounts\/USDOEOS\/bulletins\/36c9418\" target=\"_blank\" rel=\"noopener\">U.S. Department of Energy Award<\/a><span>.<\/span><\/p>\n<p><span>This four-year, $4.8 million grant from the Department of Energy\u2019s Office of Science promotes research on scientific machine learning focused on greater predictive capabilities for scientific simulations.<\/span><\/p>\n<p><span>The team is led by\u00a0<\/span><a href=\"https:\/\/engineering.jhu.edu\/faculty\/michael-shields\/\" target=\"_blank\" rel=\"noopener\">Michael Shields<\/a><span>\u00a0and includes\u00a0<\/span><a href=\"https:\/\/engineering.jhu.edu\/faculty\/dimitris-giovanis\/\" target=\"_blank\" rel=\"noopener\">Dimitris Giovanis<\/a><span>, Somdatta Goswami (soon joining\u00a0WSE as a faculty member),\u00a0<\/span><a href=\"https:\/\/engineering.jhu.edu\/faculty\/lori-brady\/\" target=\"_blank\" rel=\"noopener\">Lori Graham-Brady<\/a><span>,\u00a0<\/span><a href=\"https:\/\/engineering.jhu.edu\/faculty\/ioannis-kevrekidis\/\" target=\"_blank\" rel=\"noopener\">Yannis Kevrekidis<\/a><span>, and\u00a0<\/span><a href=\"https:\/\/engineering.jhu.edu\/faculty\/tamer-zaki\/\" target=\"_blank\" rel=\"noopener\">Tamer Zaki<\/a><span>.<\/span><\/p>\n<p><span>Their project, \u201c<\/span><a href=\"https:\/\/mcusercontent.com\/40512314224886c4ca8b856c2\/files\/b98c55cf-8581-0cf7-d5d5-5d320f195f81\/DOE_Public_Abstract.pdf\" target=\"_blank\" rel=\"noopener\">Physics and Uncertainty Informed Latent Operator Learning<\/a><span>,\u201d seeks to address two of the primary challenges to widespread adoption of scientific machine learning (SciML) methods and their applications in the physical, natural, and engineering sciences: scaling of SciML methods to large-scale problems with highly complex physics and the simultaneous quantification of uncertainty.\u00a0<\/span><\/p>\n<p><span>It aims to develop novel physics-informed neural operators that exploit the underlying low-dimensional structure of high-dimensional physics-based models which will focus on applications in fracture mechanics of additively manufactured composites and high-speed fluid flow.\u00a0<\/span><\/p>\n","protected":false},"template":"","class_list":["post-45124","news","type-news","status-publish","hentry","news_categories-awards-and-honors","news_categories-faculty","news_categories-research"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Kevrekidis part of faculty team that receives U.S. Department of Energy Award - Department of Chemical and Biomolecular Engineering<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/chembe\/news\/kevrekidis-part-of-faculty-team-that-receives-u-s-department-of-energy-award\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Kevrekidis part of faculty team that receives U.S. Department of Energy Award - Department of Chemical and Biomolecular Engineering\" \/>\n<meta property=\"og:description\" content=\"An interdisciplinary team of Whiting School faculty members has been chosen to receive a\u00a0U.S. Department of Energy Award. 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