collaborators

5 papers

nucl-th2019

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

Jan Ryckebusch, Wim Cosyn, Tom Vieijra +1

The variations of short-range correlations (SRC) across nuclei can be quantified in an approximately model-independent fashion in terms of the so-called SRC scaling factors. We pro…

cond-mat.str-el2019

Restricted Boltzmann Machines for Quantum States with Nonabelian or Anyonic Symmetries

Tom Vieijra, Corneel Casert, Jannes Nys +4

Although artificial neural networks have recently been proven to provide a promising new framework for constructing quantum many-body wave functions, the parameterization of a quan…

nucl-th2018

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

Jan Ryckebusch, Wim Cosyn, Sam Stevens +2

We provide a systematic study of the isospin composition and neutron-to-proton ratio dependence of nuclear short-range correlations (SRC) across the nu…

physics.soc-ph2018

Social Stability and Extended Social Balance - Quantifying the Role of Inactive Links in Social Networks

Andres M. Belaza, Jan Ryckebusch, Aaron Bramson +5

Structural balance in social network theory starts from signed networks with active relationships (friendly or hostile) to establish a hierarchy between four different types of tri…

cond-mat.stat-mech2018

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

C. Casert, T. Vieijra, J. Nys +1

Still under debate is the question of whether machine learning is capable of going beyond black-box modeling for complex physical systems. We investigate the generalizing and inter…