Show
Sort by
-
Revealing nonequilibrium phenomena and slow dynamics in many-body systems through machine learning
(2023) -
- Journal Article
- A1
- open access
Training neural networks using Metropolis Monte Carlo and an adaptive variant
-
- Journal Article
- A1
- open access
Robust prediction of force chains in jammed solids using graph neural networks
-
- Journal Article
- A1
- open access
Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz
-
- Journal Article
- A2
- open access
Optical lattice experiments at unobserved conditions with generative adversarial deep learning
-
Adversarial generation of mesoscale surfaces from small-scale chemical motifs
-
- Journal Article
- A1
- open access
Restricted Boltzmann machines for quantum states with non-abelian or anyonic symmetries
-
- Journal Article
- A1
- open access
Isospin composition of the high-momentum fluctuations in nuclei from asymptotic momentum distributions
-
- Journal Article
- A1
- open access
The isospin and neutron-to-proton excess dependence of short-range correlations
-
Interpretable machine learning for inferring the phase boundaries in a nonequilibrium system