2012/10/31 by D. Pinna, Daniele Pinna, Andrew D. Kent +2 · 10 citations
Engineering · Mathematics · Physics and Astronomy · #Advanced Memory and Neural Computing #Condensed matter physics #Current (fluid) #Energy (signal processing) #Geometry #Magnet #Magnetic field #Magnetic moment #Magnetic properties of thin films #Magnetization #Mathematics #Nanomagnet #Physics #Physics of Superconductivity and Magnetism #Quantum mechanics #Scaling #Spin (aerodynamics) #Spin-transfer torque #Statistical physics #Torque #cond-mat.mes-hall #cond-mat.mtrl-sci
paper · pdf · doi:10.1109/tmag.2013.2239266
published in IEEE Transactions on Magnetics 49(7), 3144-3146 (IEEE Magnetics Society) · arXiv admin note: substantial text overlap with arXiv:1205.6509
openalex publication_date 2013/07/01 · arxiv created 2013/08/30 · arxiv updated 2013/11/25 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
We propose a new analytical method for studying the asymptotic behavior of switching time as a function of current in macrospins under the effects of both spin-torque and thermal noise by focusing on their diffusive energy space dynamics. We test our method on the well understood uniaxial macrospin model and confirm the switching scaling dependence (I → 0,(τ)∝ exp(-ξ(1-I)2)). The analysis also shows that when there is an angle between spin current and magnet's uniaxial axes the mean switching time in the low current limit depends on the spin-current projection on the easy axis, but otherwise has the same functional form as that in the collinear case. These results have implications for modeling the energetics of thermally assisted magnetization reversal of spin transfer magnetic random access memory bit cells.