Corneel Casert

Tom Vieijra, Corneel Casert (UGent) , Jannes Nys (UGent) , Wesley De Neve (UGent) , Jutho Haegeman (UGent) , Jan Ryckebusch (UGent) and Frank Verstraete (UGent)

(2020) PHYSICAL REVIEW LETTERS. 124(9).

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open access

Isospin composition of the high-momentum fluctuations in nuclei from asymptotic momentum distributions

Jan Ryckebusch (UGent) , Wim Cosyn (UGent) , Tom Vieijra and Corneel Casert (UGent)

(2019) PHYSICAL REVIEW C. 100(5).

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The isospin and neutron-to-proton excess dependence of short-range correlations

Jan Ryckebusch (UGent) , Wim Cosyn (UGent) , Sam Stevens, Corneel Casert (UGent) and Jannes Nys (UGent)

(2019) PHYSICS LETTERS B. 792. p.21-28

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Interpretable machine learning for inferring the phase boundaries in a nonequilibrium system

Corneel Casert (UGent) , Tom Vieijra, Jannes Nys (UGent) and Jan Ryckebusch (UGent)

(2019) PHYSICAL REVIEW E. 99(2).

Academic Bibliography

Corneel Casert

Revealing nonequilibrium phenomena and slow dynamics in many-body systems through machine learning

Training neural networks using Metropolis Monte Carlo and an adaptive variant

Robust prediction of force chains in jammed solids using graph neural networks

Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz

Optical lattice experiments at unobserved conditions with generative adversarial deep learning

Adversarial generation of mesoscale surfaces from small-scale chemical motifs

Restricted Boltzmann machines for quantum states with non-abelian or anyonic symmetries

Isospin composition of the high-momentum fluctuations in nuclei from asymptotic momentum distributions

The isospin and neutron-to-proton excess dependence of short-range correlations

Interpretable machine learning for inferring the phase boundaries in a nonequilibrium system

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