Chiara investigates low-dimensional materials using density-functional-theory and machine-learned force fields, with a particular focus on vibrational properties. Her work at Harvard focuses on the corrugation of twisted bilayer graphene using machine...
Circe's research centers around the interface between machine learning, physics, and math, focusing on applying mathematical techniques to deep learning tasks. Previously, she worked with the Kaxiras group on physics-informed neural network methods for...
Yiqi is an M.E. student in computational science and engineering studying magnetism in 2D materials using high-throughput computing and machine learning methods. He pursued his B.S. in physics at Peking University before coming to Harvard.
Dogus currently works at Google. He finished his Ph.D. studying structural complexities in atomistic systems, ranging from disordered solids to catalytic surfaces, in 2016. He worked on developing methodologies to combine first-principles calculations...
