119 citations · 380 across the 26 of their papers we have counts for
3 papers · 1 filter
Predicting impurity spectral functions using machine learning
Erica J. Sturm, Matthew R. Carbone, Deyu Lu +2
The Anderson Impurity Model (AIM) is a canonical model of quantum many-body physics. Here we investigate whether machine learning models, both neural networks (NN) and kernel ridge…
Microscopic model of the doping dependence of line widths in monolayer transition metal dichalcogenides
Matthew R. Carbone, Matthew Z. Mayers, David R. Reichman
A fully microscopic model of the doping-dependent exciton and trion line widths in the absorption spectra of monolayer transition metal dichalcogenides in the low temperature and l…
Effective Trap-like Activated Dynamics in a Continuous Landscape
Matthew R. Carbone, Valerio Astuti, Marco Baity-Jesi
We use a simple model to extend network models for activated dynamics to a continuous landscape with a well-defined notion of distance and a direct connection to many-body systems.…