Efficient Monte Carlo Simulation of Ferromagnetic Spin Configuration
ORAL
Abstract
Due to the long-range dipole-dipole interactions (DDI) in ferromagnets (FM), the time complexity of Monte Carlo (MC) simulation is order O(N2), in a FM system with N spins. Tradition trivial MC algorithm is unbearably computationally expensive, as the size of system N increases. To solve this dilemma, we introduce an efficient algorithm named stochastic cutoff (SCO) algorithm and reduce the time complexity of O(N*log N). In this talk, I will show our simulation results of spin configuration in FM with different shapes.
Considering the anisotropy of DDI in FM, shape anisotropy will affect the spin configuration. As a result in long thin ferromagnets, spins prefer to align parallel to the long side of ferromagnets. In addition, magnetic domains of flux-closure shape can be observed in ferromagnets. These two kinds of spin configuration is related to not only the competition of the nearest-neighbouring exchange interaction J and dipole-dipole interaction D, but also the shape of the ferromagnts. We simulate the spin configuration from a first-principle perspective and study the phase diagram of spin configuration with different system sizes and interaction constants.
Considering the anisotropy of DDI in FM, shape anisotropy will affect the spin configuration. As a result in long thin ferromagnets, spins prefer to align parallel to the long side of ferromagnets. In addition, magnetic domains of flux-closure shape can be observed in ferromagnets. These two kinds of spin configuration is related to not only the competition of the nearest-neighbouring exchange interaction J and dipole-dipole interaction D, but also the shape of the ferromagnts. We simulate the spin configuration from a first-principle perspective and study the phase diagram of spin configuration with different system sizes and interaction constants.
*The speaker is funded by World-leading Innovative Graduate Study program for Materials Research, Information, and Technology (MERIT-WINGS Course). The computation resource is provided by Supercomputing Division, Information Technology Center, The University of Tokyo.
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Presenters
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Qifang Li
- Univ of Tokyo