activity
20202026
most citedDiscovering Quantum Phase Transitions with Fermionic Neural Networks

84 citations · 130 across the 7 of their papers we have counts for

collaborators

8 papers

cond-mat.quant-gas2026

Uncovering Exotic Paired States in the 2D Spin-Imbalanced Fermi Gas with Neural Wave Functions

Wan Tong Lou, Gino Cassella, Andres Perez Fadon +5

We study the zero-temperature phase diagram of the 2D spin-imbalanced Fermi gas with short-ranged attractive interactions using the recently developed neural network variational Mo…

physics.chem-ph2025

An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking

Adam Foster, Zeno Schätzle, P. Bernát Szabó +7

Reliable description of bond breaking remains a major challenge for quantum chemistry due to the multireference character of the electronic structure in dissociating species. Multi…

cond-mat.str-el2024

Interaction-Induced Symmetry Breaking in Circular Quantum Dots

Andres Perez Fadon, Gino Cassella, Halvard Sutterud +1

This paper investigates interaction-induced symmetry breaking in circular quantum dots. We explain that the anisotropic static Wigner molecule ground states frequently observed in…

physics.comp-ph2023

Neural network variational Monte Carlo for positronic chemistry

G. Cassella, W. M. C. Foulkes, D. Pfau +1

Quantum chemical calculations of the ground-state properties of positron-molecule complexes are challenging. The main difficulty lies in employing an appropriate basis set for repr…

cond-mat.quant-gas2023★ 14 cited

Neural Wave Functions for Superfluids

Wan Tong Lou, Halvard Sutterud, Gino Cassella +4

Understanding superfluidity remains a major goal of condensed matter physics. Here we tackle this challenge utilizing the recently developed Fermionic neural network (FermiNet) wav…

cond-mat.str-el2022★ 25 cited

An Exact Chiral Amorphous Spin Liquid

Gino Cassella, Peru D'Ornellas, Thomas Hodson +2

Topological insulator phases of non-interacting particles have been generalized from periodic crystals to amorphous lattices, which raises the question whether topologically ordere…

physics.comp-ph2022★ 84 cited

Discovering Quantum Phase Transitions with Fermionic Neural Networks

G. Cassella, H. Sutterud, S. Azadi +4

Deep neural networks have been extremely successful as highly accurate wave function ansätze for variational Monte Carlo calculations of molecular ground states. We present an exte…

cond-mat.soft2020★ 7 cited

Complete absorption of topologically protected waves

Guido Baardink, Gino Cassella, Luke Neville +2

Chiral edge states can transmit energy along imperfect interfaces in a topologically robust and unidirectional manner when protected by bulk-boundary correspondence. However, in co…