More than $2.4M will help collaborations with Brookhaven National Lab and different establishments to deal with complicated science and know-how challenges
Researchers on the State University of New York at Stony Brook (Stony Brook University) secured 5 inaugural awards by means of the U.S. Department of Energy’s (DOE) Genesis Mission, a nationwide AI-for-science initiative designed to speed up scientific discovery and strengthen U.S. management in innovation, vitality and nationwide safety. The awards reinforce Stony Brook University’s rising management in synthetic intelligence, quantum applied sciences, engineering, physics and superior computing, and convey greater than $2.41 million in mixed undertaking funding to deal with complicated scientific and engineering challenges.
Three initiatives are led by Stony Brook’s Jan C. Bernauer, Emre Salman and Shikui Chen and can convey practically $1.68 million on to Stony Brook and help collaborations with Brookhaven National Laboratory, Argonne National Laboratory, Sandia National Laboratories, Indiana University and GE Vernova. Additionally, Nengkun Yu, a professor in Stony Brook’s Department of Computer Science, obtained a subaward for an AI-enabled computational physics undertaking led by Johns Hopkins University. Anatoly Frenkel, a professor within the Department of Materials Science and Chemical Engineering, additionally obtained a subaward by means of Brookhaven National Laboratory for a undertaking utilizing AI to research adjustments in molten salt chemistry.
The awards had been introduced on July 22 on the Genesis Mission Summit on the Capital Hilton in Washington, D.C., the place leaders from the U.S. Department of Energy, Congress, nationwide laboratories, universities and trade gathered to launch the nationwide initiative. Hendrik Hamann, chief AI scientist at Brookhaven National Laboratory for Innovation, Science, and Security and professor at Stony Brook University’s School of Marine and Atmospheric Sciences, was one in all 5 individuals who delivered Genesis Mission technical keynotes on the summit, on “How AI Is Transforming the Electrical Grid.”
The Genesis Mission is a nationwide initiative bringing collectively DOE nationwide laboratories, universities, trade and different companions to speed up breakthroughs in vitality, discovery science and nationwide safety. The initiative seeks to attach superior computing techniques, experimental services, AI capabilities and scientific datasets to deal with 21 nationwide science and know-how challenges.
The awards observe a coordinated university-wide effort that produced 89 Stony Brook submissions, together with 40 university-led proposals and 49 proposals on which Stony Brook participated as a collaborating establishment. Stony Brook-led submissions spanned 16 analysis areas and drew upon the college’s strengths in synthetic intelligence, superior computing, physics, microelectronics, vitality techniques, supplies science and interdisciplinary analysis. Stony Brook was amongst simply 278 awardees chosen from greater than 5,000 functions.
“The State University of New York at Stony Brook’s selection for multiple Genesis Mission awards validates our position as a national leader in expanding the scope, scale and impact of research in science and engineering by leveraging the powerful tool of AI,” stated Stony Brook University President Andrea Goldsmith. “In response to an ambitious national challenge with a very tight response time, our faculty and research partners came together to develop bold, creative, interdisciplinary ideas that advance AI-driven scientific discovery. These awards reflect not only the depth and breadth of Stony Brook’s expertise and our strong partnerships with Brookhaven National Laboratory, industry and other institutions but also our commitment to preparing the next generation of scientists, engineers and innovators. By rapidly advancing the frontiers of knowledge across scientific disciplines through the use of AI, the work to be undertaken through these awards will create new opportunities for our faculty and students while also strengthening American innovation, economic competitiveness and national security.”
The 5 initiatives are:
Jan C. Bernauer
Department of Physics and Astronomy
Foundation Models for Transferable Particle Tracking in Nuclear Physics, in collaboration with Brookhaven National Laboratory and Argonne National Laboratory.
The undertaking will develop AI basis fashions that be taught straight from uncooked particle detector knowledge collected throughout a number of nuclear physics experiments. By coaching the fashions on completely different detector applied sciences, the analysis workforce goals to create extra adaptable instruments that may enhance particle monitoring throughout experiments whereas decreasing the necessity to construct a separate data-analysis system for every one.
Emre Salman
Department of Electrical and Computer Engineering
AI-Driven Autonomous and Self-Healing Readout Electronics for Radiation-Tolerant HEP Detectors, in collaboration with Brookhaven National Laboratory and Indiana University.
The undertaking will develop an AI-enabled framework to make microelectronics extra resilient in harsh, radiation-intensive environments, with an preliminary concentrate on detector readout chips utilized in high-energy physics and scientific devices. The workforce will show a speedy workflow that makes use of AI to observe these chips, establish radiation-induced disruptions and apply fastidiously managed corrections to assist keep dependable efficiency. (Total Amount to Stony Brook and National Lab Partners: $700,000)
Shikui Chen
Department of Mechanical Engineering
Geometry-Informed AI for Accelerated Multiphysics Co-Design of Wide-Bandgap Power Modules, in collaboration with Sandia National Laboratories and GE Vernova.
The undertaking will create an AI platform to speed up the design and testing of superior wide-bandgap energy modules utilized in high-efficiency vitality techniques. By quickly evaluating designs, studying throughout completely different part configurations and incorporating components comparable to manufacturability, reliability and uncertainty, the platform will assist researchers transfer from a gradual, step-by-step course of to a extra built-in and environment friendly method to engineering design. (Total Amount to Stony Brook and National Lab Partners: $723,076)
Nengkun Yu
Department of Computer Science
Neuro-Symbolic Synthesis of Verified Computational Physics Code for Scientific Discovery, led by Johns Hopkins University.
The undertaking will develop an AI-assisted method to assist scientists create and adapt complicated software program for high-performance and quantum computing techniques extra effectively. By combining AI code era with symbolic reasoning that may confirm mathematical and bodily necessities, the workforce goals to provide scientific software program that’s quicker to develop and extra dependable. (Stony Brook Awarded $99,999)
Anatoly Frenkel
Department of Materials Science and Chemical Engineering
Transient Kinetics and Spectroscopy for Agentic Digital Twins to Upgrade Domestic Alkane Feedstocks into Value-Added Chemicals, in collaboration with The Pennsylvania State University, Georgia Institute of Technology, and ExxonMobil Corporation
The undertaking will develop an AI-enabled “digital twin” framework to speed up the invention and optimization of catalysts that convert domestically accessible alkane feedstocks, comparable to propane, into higher-value chemical compounds. By combining speedy transient reactor measurements with infrared, Raman, and X-ray absorption spectroscopy, the workforce will practice AI brokers to foretell catalyst efficiency, establish energetic constructions and response mechanisms, and information subsequent experiments. The Frenkel group will contribute superior operando X-ray spectroscopy and machine-learning-assisted evaluation to trace how catalysts restructure below working circumstances. The workforce goals to show catalyst analysis as much as 20 occasions quicker than standard strategies whereas sustaining correct predictions of exercise and product selectivity. (Total quantity to the workforce: $750,000.)
“What makes these awards so significant is how clearly they showcase Stony Brook’s multidisciplinary leadership in artificial intelligence,” stated Mónica Bugallo, interim vice chairman for analysis and innovation at Stony Brook University. “Our faculty are applying AI to challenges of national importance across an incredible range of disciplines, from modernizing microelectronics and power networks to decoding cosmic physics and pioneering neuro-symbolic models for high-energy physics. Their work positions Stony Brook to drive the next era of AI innovation and advance U.S. leadership in science, technology and national security.”
Researchers Advance AI Across Physics, Microelectronics and Energy Systems
The three Stony Brook-led initiatives apply synthetic intelligence to nuclear physics, radiation-tolerant microelectronics and next-generation energy applied sciences. The principal investigators described how their analysis may speed up AI-enabled scientific discovery and innovation:
“With this award, our team will develop AI foundation models that learn directly from raw detector signals and can be adapted across different experiments and detector technologies,” stated Bernauer. “By combining expertise and data from Stony Brook, Brookhaven National Laboratory and Argonne National Laboratory, we aim to improve the precision of particle tracking while building tools that are more flexible, efficient and broadly reusable. This could fundamentally change how data are analyzed at current and future nuclear physics facilities.”
“We are honored to receive this award and to collaborate with GE Vernova Advanced Research and Sandia National Laboratories on this important initiative,” stated Chen. “This project will combine geometry-informed artificial intelligence with advanced multiphysics modeling to dramatically accelerate the design of next-generation power modules. We hope the research will lead to more efficient, reliable and manufacturable power electronics that strengthen future energy and communication systems.”
“This project seeks to develop a new AI-enabled approach for making detector readout electronics more resilient by combining radiation characterization with intelligent, real-time fault detection and recovery,” stated Salman. “This award will enable our multidisciplinary team to establish the experimental and technological foundation for a new generation of reliable, autonomous microelectronics that can support future DOE scientific missions and other harsh-environment applications.”
Strengthening National Research Leadership
The DOE’s Genesis Mission awards reinforce Stony Brook’s rising management in synthetic intelligence and quantum applied sciences whereas increasing collaborations throughout the Department of Energy nationwide laboratory system, academia and trade. Together, these partnerships place the college to speed up scientific discovery and pursue future analysis alternatives at nationwide scale.