Nanomag Dataset: Labyrinth Spin Structures

Published: 11 April 2022| Version 1 | DOI: 10.17632/4833bhfjv3.1
Contributors:
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Description

These datasets are composed of various labyrinth spin configurations simulated on a 128*128 square grid lattice system with Heisenberg spin model.

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Steps to reproduce

Each spin configuration data was generated using a simulated annealing process implemented with a direct heat-bath algorithm. (Temperature parameter decreases from 1.0 to 0.0 during 100,000 simulation steps) Simulation was performed with a simple spin Hamiltonian model which only includes the nearest-neighbor exchange interaction and Dzyaloshinskii-Moriya interaction. (The parametrized strengths of exchange and DM interaction were 1.0 and 0.3, respectively)

Institutions

Kyung Hee University

Categories

Machine Learning, Magnetism

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