2020年第81回応用物理学会秋季学術講演会

講演情報

一般セッション(口頭講演)

10 スピントロニクス・マグネティクス » 10.1 新物質・新機能創成(作製・評価技術)

[11p-Z08-1~19] 10.1 新物質・新機能創成(作製・評価技術)

2020年9月11日(金) 12:30 〜 17:45 Z08

窪田 崇秀(東北大)、小山 知弘(阪大)、増田 啓介(物材機構)

15:15 〜 15:30

[11p-Z08-11] Monte Carlo Simulation of Magnetic Behaviors of Ferromagnet with Long-range Interaction

〇(M2)Qifang Li1、Taichi Hinokihara1、Tomoya Higo1、Seiji Miyashita1、Satoru Nakatsuji1 (1.UTokyo)

キーワード:Monte Carlo simulation, algorithm, ferromagnet

Magnetic behavior of ferromagnets is one of centers of spintronics and magnetics, not only for its theoretical significance, but also for the sake of application. Although the simulation of magnetic property is meaningful, it faces two main challenges: colossal numbers of molecules and complicated long-range interaction. Fast multipole method (FMM) accelerates the calculation of long-range forces in many-body system by dividing remote molecules into grains. Ferromagnetism ensures that neighbouring molecules share almost parallel spin direction. Stochastic cutoff (SCO) algorithm is a newly developed Monte Carlo method to reduce the numbers of bonds between molecules in simulation. I will introduce recent work is to combine these two algorithms to speed up the simulation of magnetic behaviors of ferromagnetic behaviors. This new approach provides a powerful tool for the prediction and design of ferromagnetic devices.