English

Applications of gradient descent method to magnetic Skyrmion problems

Disordered Systems and Neural Networks 2017-12-12 v2 Statistical Mechanics

Abstract

The conjugate gradient (CG) method, a standard and vital way of minimizing the energy of a variational state, is applied to solve several problems in Skyrmion physics. The single-Skyrmion profile optimizing the energy of a two-dimensional chiral magnet is found without relying on specific boundary conditions. The two-dimensional Skyrmion lattice and three-dimensional hedgehog crystal state is recovered with efficiency using the modified CG (p-GD) method. The p-GD method is proposed as a complement to the traditional Monte Carlo annealing method, which still gives better results for the ground state but at the far greater cost in computation time.

Cite

@article{arxiv.1707.04665,
  title  = {Applications of gradient descent method to magnetic Skyrmion problems},
  author = {Jung Hoon Han and Manhyung Han},
  journal= {arXiv preprint arXiv:1707.04665},
  year   = {2017}
}

Comments

4 pages, 4 figures (To be replaced with a significantly updated version)

R2 v1 2026-06-22T20:47:40.428Z