{"id":370877,"date":"2026-07-23T20:08:59","date_gmt":"2026-07-23T14:38:59","guid":{"rendered":"https:\/\/ebiztoday.news\/?p=370877"},"modified":"2026-07-23T20:08:59","modified_gmt":"2026-07-23T14:38:59","slug":"mit-projects-chosen-for-funding-under-us-department-of-energys-genesis-mission-mit-news","status":"publish","type":"post","link":"https:\/\/ebiztoday.news\/index.php\/2026\/07\/23\/mit-projects-chosen-for-funding-under-us-department-of-energys-genesis-mission-mit-news\/","title":{"rendered":"MIT projects chosen for funding under US Department of Energy\u2019s Genesis Mission | MIT News"},"content":{"rendered":"<div>\n<p dir=\"ltr\" id=\"docs-internal-guid-0d252223-7fff-b707-9023-94f484791bd3\">MIT researchers are set to contribute to the U.S. Department of Energy\u2019s (DOE)\u00a0<a href=\"https:\/\/www.energy.gov\/undersecretaryforscience\/genesis-mission\/genesis-mission\">Genesis Mission<\/a>, with 15 collaborative projects amongst those chosen for funding under Genesis Phase I, DOE\u00a0<a href=\"https:\/\/www.energy.gov\/articles\/secretary-energy-chris-wright-announces-first-genesis-mission-projects-selected-accelerate\">announced<\/a> Wednesday.<\/p>\n<p dir=\"ltr\">The Genesis Mission, a national initiative, intends to construct \u201cthe world\u2019s strongest integrated science discovery platform\u201d by incentivizing cross-sector collaborations that leverage AI, supercomputing, quantum systems, and advanced scientific instruments to speed up breakthroughs in energy, scientific discovery, and national security.<\/p>\n<p dir=\"ltr\">\u201cMIT researchers are proud to be leading and contributing to projects under the Genesis Mission, in vital areas of research that support national priorities,\u201d says Ian A. Waitz, MIT\u2019s vp for research. \u201cThe Genesis Mission represents a improbable opportunity to catalyze the facility of universities, industry, and the U.S. national laboratories to advance science, technology, and innovation for the advantage of the nation and the world.\u201d<\/p>\n<p dir=\"ltr\">The DOE announced the initial projects during its Genesis Summit in Washington on Wednesday. The research funding to MIT is pending completion of negotiations toward an award agreement for every project. In phase I, funded project teams will work to exhibit research workflows that integrate AI with scientific investigation, and to carefully evaluate the scientific merit of their approach.<\/p>\n<p dir=\"ltr\">Projects under the Genesis Mission are collaborative by design; teams must draw on the expertise of researchers from academia, industry, and\/or the national laboratories. Among the many chosen phase I projects with MIT involvement are people who aim to develop powerful quantum sensors to assist explain fundamental questions on the universe; advance knowledge of chemical-free methods to extract rare earth elements; model the behavior of plasma in fusion tokamaks and future fusion reactors; develop digital twins for fusion magnet systems; exploit the self-assembly of biomolecules to design materials with targeted properties; generatively design rotating blades for machinery systems; and more. Phase I projects that discover promising pathways toward transformative capabilities at scale could also be considered by DOE for further Genesis Mission funding.<\/p>\n<p dir=\"ltr\">Six of the chosen projects are to be led by MIT principal investigators (PIs):<\/p>\n<ul>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"ef133d89a4684068957ee763f6cb2078e\">AI-Driven Discovery of Electrochemical Separation Methods for Rare Earth Elements<br \/><strong>MIT lead: Martin Bazant<\/strong>\u00a0(Department of Chemical Engineering, ChemE), Chevron Professor in Chemical Engineering and professor of mathematics<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"ed2392fd10f9366971bbea0195a07134b\">AI for Learning Missing Constitutive Structure in Fracture Models<br \/><strong>MIT lead: Laurent Demanet\u00a0<\/strong>(Department of Earth, Atmospheric and Planetary Sciences), professor of applied mathematics within the Department of Mathematics and co-director of the MIT Center for Computational Science and Engineering<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e4adc46418224d67570b9fd93c25effbd\">AI-Driven Quantum Sensing for Precision Tests of Fundamental Physics<br \/><strong>MIT lead: Ronald Garcia Ruiz<\/strong>\u00a0(Laboratory for Nuclear Science, LNS), associate professor of physics and Thomas A. Frank (1977) Profession Development Professor<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e3e6d76091a8e9fc290bbb775d3891a2c\">Multi-Agent Inverse Design of Block Polypeptoids Into Hierarchical Nanostructures<br \/><strong>MIT lead: Bradley Olsen<\/strong>\u00a0(ChemE), Alexander and I. Michael Kasser (1960) Professor<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"ea4a3068336b58ebcc20b74a3fd99127d\">CATALYST: Core Accelerated Trajectories with Augmented\u00a0Learning bY Sim-to-experiment Transfer<br \/><strong>MIT lead: Cristina Rea<\/strong> (Plasma Science and Fusion Center), principal research scientist and division head for data science<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e211d16c873a60fed2f73fda9ac250f91\">Multi-Modal and Multi-Facility Application of the FM4NPP Foundation Model: Silicon Trackers and Electron Colliders<br \/><strong>MIT lead: Gunther Roland<\/strong>\u00a0(LNS), professor of physics and division head for experimental nuclear and particle physics<\/li>\n<\/ul>\n<p dir=\"ltr\">MIT researchers are expected to take part in one other nine chosen projects led by other institutions, firms, and labs:<\/p>\n<ul>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"ecd3990ca09accc889fb3e139ba26e5ae\">Framework for Optimized Rotating Blade Design Using Generative Engineering (FORGE)<br \/><strong>Project lead:<\/strong>\u00a0GE Vernova\u00a0Advanced Research Center<br \/><strong>MIT lead: Faez Ahmed<\/strong> (Department of Mechanical Engineering), associate professor of mechanical engineering and the Esther and Harold E. Edgerton Profession Development Professor<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e390098729abe3c90584a45f24e31f6e8\">Superconducting Polychronous Computation Near Criticality<br \/><strong>Project lead:<\/strong>\u00a0Argonne National Laboratory<br \/><strong>MIT lead: Karl Berggren<\/strong> (Research Laboratory of Electronics), the Julius A. Stratton Professor in Electrical Engineering and Physics<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"ef8e550c42192a2796b6d26a0ff8e20c9\">Scalable Agentic Digital Twins for Autonomous Precision Facilities<br \/><strong>Project lead:<\/strong>\u00a0Texas A&#038;M University<br \/><strong>MIT lead: Ronald Garcia Ruiz<\/strong> (LNS)<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e4f5bd755af5ebb1fec31862ffb3c0dbd\">Agentic AI for Real-Time Expedited Discovery from\u00a0High-Complexity EIC Data Streams<br \/><strong>Project lead:<\/strong>\u00a0Purdue University<br \/><strong>MIT lead: Philip Harris<\/strong> (LNS), associate professor of physics<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e8c68705c9666f8d90e05d6ba666759e8\">Self-Driving Discovery and Co-Design of MXene Memristors for 3D Compute-in-Memory Systems<br \/><strong>Project lead:\u00a0<\/strong>Northeastern University<br \/><strong>MIT lead: Ju Li\u00a0<\/strong>(Department of Nuclear Science and Engineering, NSE), the Carl Richard Soderberg Professor in Power Engineering and professor of materials science and engineering<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"eb49e8524fb7b28d35666950e9a01a6ac\">A-WILD: AI-driven Workflows for Intelligent Lab Discovery<br \/><strong>Project lead:\u00a0<\/strong>Lawrence Berkeley National Laboratory (LBNL)<br \/><strong>MIT lead: Ju Li<\/strong> (NSE)<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e7359a996258036f4265b161af60a424c\">A Foundational Generative AI Framework to Advance Water-Energy Security<br \/><strong>Project lead:<\/strong> LBNL<br \/><strong>MIT lead: Haruko Wainwright<\/strong>\u00a0(NSE), Atlantic Richfield Profession Development Professor in Energy Studies, assistant professor of nuclear science and engineering, and assistant professor of civil and environmental engineering<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e52271e26421231b8ebb7f4cca4ac3712\">An AI-Driven Platform for HLW Repository Design and Evaluation with Digital Twins, GIS Data Integration, and Surrogate Models<br \/><strong>Project lead:<\/strong> LBNL<br \/><strong>MIT lead: Haruko Wainwright<\/strong> (NSE)<br \/>\u00a0<\/li>\n<li dir=\"ltr\" aria-level=\"1\" data-list-item-id=\"e43b1a9973f8ea5759f5ad63ad8d17b4a\">Toward Physics-Informed Digital Twins for Fusion Magnet Systems<br \/><strong>Project lead:<\/strong> LBNL<br \/><strong>MIT lead: Holger Witte<\/strong>\u00a0(LNS), associate director of MIT\u2019s Bates Research and Engineering Center.<\/li>\n<\/ul>\n<p dir=\"ltr\">\u201cThe extraordinary response to this Genesis Mission application process demonstrates that America\u2019s scientific community is able to reimagine how discovery happens,\u201d said DOE\u00a0Under Secretary Dar\u00edo Gil SM \u201900 PhD \u201903, within the DOE\u2019s announcement. \u201cThrough the Genesis Mission, we&#8217;re bringing together the nation\u2019s leading researchers, institutions, and technology partners to construct the subsequent generation of scientific capability. We stay up for seeing these teams exhibit latest research workflows that speed up discovery and reveal what is feasible when AI and science advance together.\u201d<\/p>\n<p dir=\"ltr\">An entire list of the primary Genesis Mission projects chosen for award negotiations is <a href=\"https:\/\/science.osti.gov\/-\/media\/funding\/pdf\/Awards-Lists\/2026\/GM-RFA-Awards-List.pdf\">available<\/a> from the U.S. Department of Energy.<\/p>\n<\/div>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>MIT researchers are set to contribute to the U.S. Department of Energy\u2019s (DOE)\u00a0Genesis Mission, with 15 collaborative projects amongst those chosen for funding under Genesis Phase I, DOE\u00a0announced Wednesday. The Genesis Mission, a national initiative, intends to construct \u201cthe world\u2019s strongest integrated science discovery platform\u201d by incentivizing cross-sector collaborations that leverage AI, supercomputing, quantum systems, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":370878,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[5114,33477,3483,22210,594,182,395,10974,977],"class_list":["post-370877","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-department","tag-energys","tag-funding","tag-genesis","tag-mission","tag-mit","tag-news","tag-projects","tag-selected"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.9 - aioseo.com -->\n\t<meta name=\"description\" content=\"MIT researchers are set to contribute to the U.S. Department of Energy\u2019s (DOE) Genesis Mission, with 15 collaborative projects amongst those chosen for funding under Genesis Phase I, DOE announced Wednesday.The Genesis Mission, a national initiative, intends to construct \u201cthe world\u2019s strongest integrated science discovery platform\u201d by incentivizing cross-sector collaborations that leverage AI, supercomputing, quantum systems, and\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"ebiztoday.news\"\/>\n\t<meta name=\"google-site-verification\" content=\"G1Pyp5JbhWr5PQ6IszY06NoXKQCjx1ChQj88DWWzPq8\" \/>\n\t<link rel=\"canonical\" href=\"https:\/\/ebiztoday.news\/index.php\/2026\/07\/23\/mit-projects-chosen-for-funding-under-us-department-of-energys-genesis-mission-mit-news\/\" \/>\n\t<meta name=\"generator\" content=\"All in One SEO (AIOSEO) 4.9.9\" \/>\n\t\t<meta property=\"og:locale\" content=\"en_GB\" \/>\n\t\t<meta property=\"og:site_name\" content=\"eBizToday - 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