67 citations · 217 across the 10 of their papers we have counts for
10 papers
Neural-Network Quantum Embedding Solvers for Correlated Materials
Agnes Valenti, Ina Park, Antoine Georges +2
Quantum impurity solvers are the computational bottleneck of quantum embedding approaches to correlated materials, such as dynamical mean-field theory (DMFT). We show that neural n…
Critical gate distance for Wigner crystallization in the two-dimensional electron gas
Agnes Valenti, Vladimir Calvera, Yubo Yang +4
We report on the properties of the two-dimensional electron gas in a dual-gate geometry, using quantum Monte Carlo methods to obtain aspects of the phase diagram as a function of e…
Design and characterization of all two-dimensional fragile topological bands
Samuel Bird, Chiara Devescovi, Pascal Engeler +5
Designing topological materials with specific topological indices is a complex inverse problem, traditionally tackled through manual, intuition-driven methods that are neither scal…
Theory of Coulomb driven nematicity in a multi-valley two-dimensional electron gas
Vladimir Calvera, Agnes Valenti, Sebastian D. Huber +2
The properties of a two-dimensional electron gas (2DEG) in a semiconductor host with two valleys related by an underlying rotational symmetry are studied using Hartree-Fock (…
Nematic metal in a multi-valley electron gas: Variational Monte Carlo analysis and application to AlAs
Agnes Valenti, Vladimir Calvera, Steven A. Kivelson +2
The two-dimensional electron gas is of fundamental importance in quantum many-body physics. We study a minimal extension of this model with (as opposed to full rotational) sy…
Correlation-Enhanced Neural Networks as Interpretable Variational Quantum States
Agnes Valenti, Eliska Greplova, Netanel H. Lindner +1
Variational methods have proven to be excellent tools to approximate ground states of complex many body Hamiltonians. Generic tools like neural networks are extremely powerful, but…