Fellow Project
2025–2026
AI x Quantum Materials
Project by
Discovering new quantum materials is still a slow process, largely because artificial intelligence (AI) lacks the kind of large, well-structured experimental datasets that have revolutionized other fields, such as structural biology.
During his fellowship, Artem Mishchenko will collaborate with others to create the first systematically curated dataset for two-dimensional quantum materials. The project will integrate automated sample fabrication, autonomous testing, and real-time data analysis to enable AI to rapidly learn which combinations of atomic layers give rise to exotic quantum states, such as superconductivity or topological order. As the dataset expands, the team will test simple guiding principles to explore how increasing both the quantity and quality of data improves predictive accuracy.
The resulting open-access resource is expected to accelerate discovery well beyond physics, with potential applications in areas like sustainable energy catalysis and quantum-secure communication. Complementing the scientific work, a public engagement program titled Quantum Futures will bring together philosophers, artists, and members of the public to reflect on how AI-driven science could shape future technologies and society.
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