Speaker
Agnes Valenti
(Flatiron Institute, Center for Computat Quantum Physics, New York, NY 10010 USA)
Description
Two-dimension van-der-Waals materials provide a versatile platform with a high degree of tunability, that has led to a multitude of realizations of correlated and topological phases in the recent years. However, theoretical modeling remains a challenge: Strong correlations call for tools beyond mean-field theory. In this talk I will explain how variational Monte Carlo, in particular neural quantum states, addresses this challenge. I will use these tools to piece together features such as anisotropy or quantum geometry in 2D quantum materials and explain their effect on the emerging phases. I will then explain how modern machine learning advances can be used to shape new tools for the exploration of strongly correlated materials.
Author
Agnes Valenti
(Flatiron Institute, Center for Computat Quantum Physics, New York, NY 10010 USA)