Designing Quantum Materials using AI & Machine Learning: Opportunities for Collaboration

Maria Chan obtained her PhD in Physics from MIT. Since 2012, Dr. Chan has been a staff scientist at Argonne’s Center for Nanoscale Materials. Her research focuses on the computational prediction of materials properties, using first principles, atomistic, and ML methods, particularly in applications toward energy technologies, such as energy storage, photovoltaics, catalysis, and thermal management.

Stephen K. Gray is a Senior Scientist at Argonne’s Center for Nanoscale Materials. He has a PhD in Chemistry from UC Berkeley, and carried out post-doctoral work at Oxford and the University of Chicago. He is a Fellow of the American Physical Society, and his diverse research work is currently focused on modeling light-matter interactions in nanoscale materials, as well as hybrid materials for quantum information and quantum sensing. 

Alán Aspuru-Guzik is a Professor of Chemistry and Computer Science at the University of Toronto. He is a CIFAR AI Chair and CIFAR Fellow and Faculty member at the Vector Institute for Artificial Intelligence. He is interested in the intersections of quantum information and chemistry as well as the intersections of AI, automation and chemistry. He is a co-founder and officer of Zapata Computing, a quantum computing startup and Kebotix, a startup dedicated to self-driving laboratories.