News & Events
News, updates, and upcoming events from AI-MI highlighting research advances, partnerships, and people accelerating AI-driven materials discovery for energy, sustainability, and quantum technologies.
Seminar Series
NSF & Private Partners Award $100M to National AI Research Institutes
The National Science Foundation is investing $100 million in five National Artificial Intelligence Research Institutes and a central community hub to accelerate open innovation, build an AI-ready workforce and strengthen U.S. global competitiveness.
Leslie Schoop Tapped for Leadership Role at AI-MI
Professor of Chemistry Leslie Schoop will hold a leadership role in a new U.S. National Science Foundation Artificial Intelligence Materials Institute (NSF AI-MI) scheduled to open this fall at Cornell University, marking a major investment in AI-driven materials discovery by the federal government.
CCNY joins Cornell to Accelerate AI Development
Zhigang Zhu, the Herbert G. Kayser Professor of Computer Science in The City College of New York’s Grove School of Engineering, is a co-principal investigator for a new National Artificial Intelligence Materials Institute.
NSF announces $100 million investment in National Artificial Intelligence Research Institutes
The investment will accelerate open innovation, empower an AI-ready workforce and strengthen U.S. global competitiveness.
National Science Foundation announces Cornell-led AI Materials Institute
Directed by Eun-Ah Kim, principal investigator, AI-MI will accelerate and transform the discovery of new materials to be used in sustainable energy, advanced electronics, environmental stewardship and quantum technologies by integrating human scientific expertise with AI methods.
Upcoming Events
AI-MI Seminar Series: Heng Ji (University of Illinois Urbana-Champaign)
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AI-MI Seminar Series: Daniel Tabor (Texas A&M University)
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AI-MI Seminar Series: Adrian Del Maestro (University of Tennessee)
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Predictions for helium on atomically thin substrates depend sensitively on the adsorption potential. Adrian Del Maestro (University of Tennessee, Knoxville) combines coupled-cluster calculations, multi-fidelity Gaussian process regression and knowledge distillation to reach single-wavenumber accuracy.
AI-MI Seminar Series: Ying Diao (University of Illinois Urbana-Champaign)
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