Characterizing out-of-distribution generalization of neural networks: application to the disordered Su-Schrieffer-Heeger model

K Cybinski, M Płodzień, M Tomza… - Machine Learning …, 2024 - iopscience.iop.org
Abstract Machine learning (ML) is a promising tool for the detection of phases of matter.
However, ML models are also known for their black-box construction, which hinders …

Majorana-magnon interactions in topological Shiba chains

PX Shen, V Perrin, M Trif, P Simon - Physical Review Research, 2023 - APS
A chain of magnetic impurities deposited on the surface of a superconductor can form a
topological Shiba band that supports Majorana zero modes and holds a promise for …

Snake net with a neural network for detecting multiple phases in the phase diagram

X Sun, H Yang, N Wu, TC Scott, J Zhang, W Zhang - Physical Review E, 2023 - APS
Unsupervised machine learning applied to the study of phase transitions is an ongoing and
interesting research direction. The active contour model, also called the snake model, was …

Supervised learning of an interacting two-dimensional hardcore boson model of a weak topological insulator using correlation functions

A Ghosh, M Sarkar - Physical Review B, 2024 - APS
We study a system of hard-core bosons on a two-dimensional periodic honeycomb lattice
subjected to an on-site potential with alternating signs along y direction, using machine …

Machine learning for quantum models and quantum optimization for classical problems

S Tibaldi - 2024 - amsdottorato.unibo.it
This manuscript is divided in two parts. In the first one we explore different machine learning
inspired techniques to reconstruct the topological phase diagram of a few variants of the …

Did the PIIGS Already Fly? A Retrospective Study of the European Economy Using Data Mining Techniques

RF Dias, JM Pais, IF Rocha, FP Belfo - 2023 - aisel.aisnet.org
The term PIIGS was used to refer to five countries in Europe, respectively Portugal, Italy,
Ireland, Greece and Spain. This nomenclature was created due to the fact that they shared …