Nanomag Dataset: Labyrinth Spin Structures
Published: 11 April 2022| Version 1 | DOI: 10.17632/4833bhfjv3.1
Contributors:
, Description
These datasets are composed of various labyrinth spin configurations simulated on a 128*128 square grid lattice system with Heisenberg spin model.
Files
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