AI-MI faculty member Emilia Morosan — Director of the Rice Center for Quantum Materials and Trustee Professor of Physics and Astronomy at Rice University — organized and keynoted the 2026 RCQM–KAST InterAcademy Global Workshop on Quantum Materials Synthesis, held June...
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Keith Brown to Lead Boston University’s Materials Science & Engineering Division
AI-MI faculty member Keith Brown has been named Head of the Division of Materials Science & Engineering at Boston University, effective July 1, 2026. An associate professor of mechanical engineering, materials science and engineering, and physics, Brown is a...
Schlom elected to National Academy of Sciences
Darrell Schlom, materials scientist and AI-MI member, has been elected to the National Academy of Sciences — among the highest honors in U.S. science.
AI-MI Researchers Featured at AI4X 2026 in Singapore
AI-MI Director Eun-Ah Kim (Cornell) delivered a plenary talk — “Learning Quantum Matter from Data: Data-Centric AI for Scientific Discovery” — at the AI4X 2026 conference in Singapore. The plenary session was chaired by Yong Tao Tan. AI-MI Senior Investigator Keith...
AI-MI Summer Undergraduate Research Program Kicks Off for 2026
The AI-MI Summer Undergraduate Research Program (SURP) began its 10-week run on June 1, 2026, running through August 7. The program offers two tracks — SURP Materials Track, run jointly with Cornell's CHESS REU program, and SURP AI Track conducted in collaboration...
AI-MI Marks Milestone with Launch of New NVIDIA-Powered Computing Cluster
AI-MI marks a major milestone with the launch of a new NVIDIA-powered computing cluster, significantly expanding its capacity for AI-driven materials research. The new infrastructure enables rapid, on-desk development and supports researchers across the AI-MI network in tackling complex scientific challenges.
Watch our AI-MI Seminar Series talks, live on YouTube!
This bi-weekly series brings together leading researchers at the intersection of artificial intelligence, machine learning, and materials science. It highlights advances in AI-enabled discovery and data-driven materials research while fostering interdisciplinary...