Physics – Condensed Matter – Mesoscale and Nanoscale Physics
Scientific paper
2009-06-09
Chinese Physics B 18, 3960 (2009)
Physics
Condensed Matter
Mesoscale and Nanoscale Physics
Chin. Phys. B, in press
Scientific paper
We investigate the exchange bias and training effects in the FM/AF heterostructures using a unified Monte Carlo dynamical approach. This real dynamical method has been proved reliable and effective in simulating dynamical magnetization of nanoscale magnetic systems. The magnetization of the uncompensated AF layer is still open after the first field cycling is finished. Our simulated results show obvious shift of hysteresis loops (exchange bias) and cycling dependence of exchange bias (training effect) when the temperature is below 45 K. The exchange bias fields decrease with decreasing the cooling rate or increasing the temperature and the number of the field cycling. With the simulations, we show the exchange bias can be manipulated by controlling the cooling rate, the distributive width of the anisotropy energy, or the magnetic coupling constants. Essentially, these two effects can be explained on the basis of the microscopical coexistence of both reversible and irreversible moment reversals of the AF domains. Our simulated results are useful to really understand the magnetization dynamics of such magnetic heterostructures. This unified nonequilibrium dynamical method should be applicable to other exchange bias systems.
Liu Bang-Gui
Zhang Kai-Cheng
No associations
LandOfFree
Unified nonequilibrium dynamical theory for exchange bias and training effects does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Unified nonequilibrium dynamical theory for exchange bias and training effects, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Unified nonequilibrium dynamical theory for exchange bias and training effects will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-65288