3 papers
cond-mat.dis-nn2021
Machine learning band gaps from the electron density
Javier Robledo Moreno, Johannes Flick, Antoine Georges
A remarkable consequence of the Hohenberg-Kohn theorem of density functional theory is the existence of an injective map between the electronic density and any observable of the ma…
cond-mat.str-el2020
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states
James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis +1
First-quantized deep neural network techniques are developed for analyzing strongly coupled fermionic systems on the lattice. Using a Slater-Jastrow inspired ansatz which exploits…
cond-mat.dis-nn2019
Deep learning the Hohenberg-Kohn maps of Density Functional Theory
Javier Robledo Moreno, Giuseppe Carleo, Antoine Georges
A striking consequence of the Hohenberg-Kohn theorem of density functional theory is the existence of a bijection between the local density and the ground-state many-body wave func…