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cond-mat.stat-mech2018
Super-resolving the Ising model with convolutional neural networks
Stavros Efthymiou, Matthew J. S. Beach, Roger G. Melko
Machine learning is becoming widely used in condensed matter physics. Inspired by the concept of image super-resolution, we propose a method to increase the size of lattice spin co…
cond-mat.stat-mech2017★ 175 cited
Machine learning vortices at the Kosterlitz-Thouless transition
Matthew J. S. Beach, Anna Golubeva, Roger G. Melko
Efficient and automated classification of phases from minimally processed data is one goal of machine learning in condensed matter and statistical physics. Supervised algorithms tr…