Accelerating next-generation materials research with AI.
The AI-MI interdisciplinary team works on the interface of AI and materials research.
Led by Cornell University, NSF AI-MI is accelerating the discovery of next-generation materials essential for energy, sustainability and quantum technologies.
By bringing together computer scientists, materials researchers and data scientists, AI-M tackles knowledge- and data-centric challenges to advance AI and materials science. The institute integrates data generation, AI analysis and rapid experimental feedback to dramatically reduce the time it takes to discover new materials – from months to days – and to establish reproducible, reusable workflows for the broader research community. Funded by NSF with additional support from Intel Corporation.
The Artificial Intelligence Materials Institute is a collaboration between
Groundbreaking Research
“Materials move and change the world. Now, for the first time, we’re on the verge of designing matter with intention—turning data and algorithms into the architects of new materials.”
— Eun-Ah Kim, Lead PI, Cornell University
Dr. Eun-Ah Kim is the founder and lead PI of AI-MI @ Cornell University
Top Research
Universities
18
Key Investigators
20
Million dollars
in support from NSF
and Intel
25
Collaborators
Top Research
Universities
18
Key
Investigators
20
Million dollars
in support from
NSF & Intel
25
Collaborators
Featured News
Sneak Peek: AI-MI’s New Computing Units
It is shiny hardware moment for AI-MI, as three golden NVIDIA-powered computing units have arrived and are now installed at their new home at AI-MI.
Two Summer Research Opportunities for Undergrads
Join a cross-disciplinary summer program uniting AI, data science, and materials research through mentored projects, seminars, and real-world discovery! The AI-MI Summer Undergraduate Research Program has two tracks building upon new collaborations between the NSF funded CHESS program and the Cornell Bowers BURE program.
Now Recruiting Institute Postdocs!
AI-MI seeks postdoctoral researchers to drive rapid, AI-enabled discovery of next-generation materials for energy, sustainability and quantum technologies. Join our interdisciplinary team advancing reproducible, data-centric materials science.