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...
Emine Kucukbenli's research aims to explore the vast landscape of crystal structures that atoms or molecules form. She builds numerical tools to speed up the exploration using machine learning [1,2] or to identify different points on this landscape that...
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.
Marios is studying electronic properties of two-dimensional and multilayered van der Waals materials through effective macroscopic theories. He is also designing Neural Network architectures for implementation in physics.
