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Physical Review Letters|August 29, 2020
Deep Learning the Hohenberg-Kohn Maps of Density Functional TheoryJavier Robledo Moreno, Giuseppe Carleo, Antoine GeorgesProceedings of the National Academy of Sciences of the United States of America|August 3, 2022
Fermionic wave functions from neural-network constrained hidden statesJavier Robledo Moreno, Giuseppe Carleo, Antoine Georges, et al.Physical Review Letters|March 7, 2025
Mott Transition and Volume Law Entanglement with Neural Quantum StatesChloé Gauvin-Ndiaye, Joseph Tindall, Javier Robledo Moreno, et al.Science (New York, N.Y.)|February 11, 2017
Solving the quantum many-body problem with artificial neural networksGiuseppe Carleo, Matthias TroyerPhysical Review Letters|July 27, 2019
Neural-Network Approach to Dissipative Quantum Many-Body DynamicsMichael J Hartmann, Giuseppe CarleoPhysical Review Letters|April 7, 2010
Bose-Einstein condensation in quantum glassesGiuseppe Carleo, Marco Tarzia, Francesco ZamponiCommunications Physics|February 3, 2025
Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformationsImelda Romero, Jannes Nys, Giuseppe CarleoScientific Reports|July 19, 2017
Information processing in patterned magnetic nanostructures with edge spin wavesAntonio Lara, Javier Robledo Moreno, Konstantin Y Guslienko, et al.Nature Communications|May 14, 2020
Fermionic neural-network states for ab-initio electronic structureKenny Choo, Antonio Mezzacapo, Giuseppe CarleoNature Communications|December 16, 2018
Constructing exact representations of quantum many-body systems with deep neural networksGiuseppe Carleo, Yusuke Nomura, Masatoshi ImadaPageof 9