Welcome
We study the magnetism and magnetic dynamics in restricted symmetry
systems.
The restricted symmetry systems include spatially
confined system (nano structure), low dimensional systems where
limited translational symmetry applies, systems without inversions
symmetry including asymmetric exchange interaction(Dzyaloshinskii
Moriya interaction), coupled systems with non-uniform magnetic
moments, magnetic heterostructures, complex spin structures, and etc.
In the restricted symmetry systems, rich magnetic phenomena occur
due to various enhanced interactions such as asymmetric exchange
interaction, high order anisotropies, dipolar interaction.
The rich mangetic behaviors are affected by external field, electric
current and temperature, which we also investigate the mechanism.
And these effects are related with applications using spin current,
or spintronics.
To do research, we use our own lab-built
programs which uses Monte-Calro method, Lagevin dynamics, Landau
Lifshitz dynamics and more.
Recently, as deep learning technology has developed, we are conducting research on magnetic materials using this technology.
We also work with experiment
groups at Physics Department, Fudan University in China and SPLEEM
group in LBNL, USA.
물리학과 학부연구생 6주 인턴쉽 프로그램
| 회차 | 내용 | 비고 |
|---|---|---|
| 1-1 | 파이썬과 딥러닝을 위한 컴퓨터 환경설정 | |
| 1-2 | 파이썬 기초문법 | |
| 2-1 | 자성모델 파이썬으로 구현하기-1 (이징모델 이론) | |
| 2-2 | 자성모델 파이썬으로 구현하기-2 (몬테카를로 시뮬레이션) | |
| 3-1 | 딥러닝 기초 이론 | |
| 3-2 | 딥러닝 기초과정 실습 (심층신경망) | |
| 4-1 | 딥러닝 중급과정 실습-1 (오토인코더) | |
| 4-2 | 딥러닝 중급과정 실습-2 (변분 오토인코더) | |
| 5-1 | 직접 만든 데이터로 딥러닝 학습하기 | |
| 5-2 | 하이젠버그자성모델 전산모사 및 이론 (Antisymmetric exchange) | |
| 6-1 | 논문 따라하기 1 Interpolation and extrapolation between the magnetic chiral states using autoencoder |
|
| 6-2 | 논문 따라하기 2 Indexing topological numbers on images by transferring chiral magnetic textures |