This repository contains the code used to generate the results in the paper "Machine learning assisted discovery of exotic criticality in a planar quasicrystal". It uses the rsmine package, which discovers the emergent degrees of freedom of dimers on AB tilings to be superdimers on the deflated tiling by solving an information theoretic variational problem.
rsminenetworkxtensorflownumpy
@article{2023arXiv230111934,
title = {Machine learning assisted discovery of exotic criticality in a planar quasicrystal},
author = {G\"okmen, Doruk Efe and
Biswas, Sounak and
Huber, Sebastian D. and
Ringel, Zohar and
Flicker, Felix and
Koch-Janusz, Maciej},
journal = {arXiv e-prints},
year = {2023},
month = {Jan},
eid = {arXiv:2301.11934},
archivePrefix = {arXiv},
eprint = {2301.11934},
primaryClass = {cond-mat.stat-mech}
}