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Two-frequency Wigner distribution is introduced to capture the asymptotic behavior of the space-frequency correlation of paraxial waves in the radiative transfer limits. The scaling limits give rises to deterministic transport-like…

Optics · Physics 2015-06-26 Albert C. Fannjiang

Stochastic dynamics of spin torque oscillators (STOs) can be described in terms of magnetization drift and diffusion over a current-dependent effective energy surface given by the Fokker-Planck equation. Here we present a method that…

Mesoscale and Nanoscale Physics · Physics 2015-06-15 Graham E. Rowlands , Jordan A. Katine , Juergen Langer , Jian Zhu , Ilya N. Krivorotov

We study the deterministic and stochastic rotational dynamics of ferromagnetic nanoparticles in a precessing magnetic field. Our approach is based on the system of effective Langevin equations and on the corresponding Fokker-Planck…

Mesoscale and Nanoscale Physics · Physics 2015-10-21 T. V. Lyutyy , S. I. Denisov , V. V. Reva , Yu. S. Bystrik

Magnetization switching in ferromagnetic structures is an important process for technical applications such as data storage in spintronics, and therefore the determination of the corresponding switching rates becomes essential. We…

Materials Science · Physics 2021-10-15 Johannes Mögerle , Robin Schuldt , Johannes Reiff , Jörg Main , Rigoberto Hernandez

We reported a systematic study of spin-orbit torque biased magnetic sensors based on NiFe/Pt bilayers through both macro-spin modeling and experiments. The simulation results show that it is possible to achieve a linear sensor with a…

Mesoscale and Nanoscale Physics · Physics 2017-12-13 Yanjun Xu , Yumeng Yang , Ziyan Luo , Baoxi Xu , Yihong Wu

We report a systematic study of current-induced perpendicular magnetization switching in W/Co$_{x}$Tb$_{1-x}$/Al thin films with strong perpendicular magnetic anisotropy. Various Co$_{x}$Tb$_{1-x}$ ferrimagnetic alloys with different…

The recently obtained spin-crossover nanoparticles are possible candidates for applications in the recording media industry as materials for data storage, or as pressure and temperature sensors. For these applications the intermolecular…

Mesoscale and Nanoscale Physics · Physics 2015-06-23 Laurentiu Stoleriu , Alexandru Stancu , Pradip Chakraborty , Andreas Hauser , Cristian Enachescu

The Cosmic Axion Spin Precession Experiment (CASPEr) seeks to measure oscillating torques on nuclear spins caused by axion or axion-like-particle (ALP) dark matter via nuclear magnetic resonance (NMR) techniques. A sample spin-polarized…

Interfacial spin-flip scattering plays an important role in magnetoelectronic devices. Spin loss at metallic interfaces is usually quantified by matching the magnetoresistance data for multilayers to the Valet-Fert model, while treating…

Materials Science · Physics 2016-11-15 K. D. Belashchenko , Alexey A. Kovalev , M. van Schilfgaarde

The writing energy for reversing the magnetization of the free layer in a magnetic tunnel junction (MTJ) is a key figure of merit for comparing the performances of magnetic random access memories with competing technologies. Magnetization…

In a ferromagnet/heavy-metal bilayer device with strong spin Hall effect an in-plane current excites magnetic dynamics through spin torque. We analyze bilayers with perpendicular magnetization and calculate three-dimensional phase diagrams…

Mesoscale and Nanoscale Physics · Physics 2015-06-24 Shu Yan , Ya. B. Bazaliy

Spin-torque effects in antiferromagnetic (AFM) materials are of great interest due to the possible applications as high-speed spintronic devices. In the present paper we analyze the statistical properties of the current-driven AFM…

Mesoscale and Nanoscale Physics · Physics 2013-01-01 Helen Gomonay , Vadim Loktev

Extending the transfer matrix DMRG algorithm, we are able to calculate imaginary time spin autocorrelations with high accuracy (absolute error $<10^{-6}$) over a wide temperature range ($0<\beta J<20$). After analytic continuation using the…

Strongly Correlated Electrons · Physics 2007-05-23 F. Naef X. Wang , X. Zotos , W. von der Linden

We compute the distribution function of single-level curvatures, $P(k)$, for a tight binding model with site disorder, on a cubic lattice. In metals $P(k)$ is very close to the predictions of the random-matrix theory (RMT). In insulators…

Condensed Matter · Physics 2009-10-28 C. M. Canali , Chaitali Basu , W. Stephan , V. E. Kravtsov

We computed spin wave dispersions of surface-reconstructed Co films on the W(110) surface in the adiabatic approximation. The magnetic exchange interactions are obtained via first-principles electronic structure calculations using the…

Mesoscale and Nanoscale Physics · Physics 2017-04-11 Flaviano José dos Santos , Manuel dos Santos Dias , Samir Lounis

We propose a novel variationally consistent membrane wrinkling model for analyzing the mechanical responses of wrinkled thin membranes. The elastic strain energy density is split into tensile and compressive terms via a spectral…

Numerical Analysis · Mathematics 2024-09-23 Daobo Zhang , Josef Kiendl

Training and recovery of exchange bias in FeNi/Cu/Co/FeMn spin valves have been studied by magnetoresistance curves with field sweep rates from 1000 to 4800 Oe/s. It is found that training and recovery of exchange field are proportional to…

Materials Science · Physics 2015-06-03 D. Z. Yang , A. Kapelrud , M. Saxegaard , E. Wahlstrom

The field-free spin-orbit torque induced 180{\deg} reorientation of perpendicular magnetization is beneficial for the high performance magnetic memory. The antiferromagnetic material (AFM) can provide higher operation speed than the…

Mesoscale and Nanoscale Physics · Physics 2022-12-15 Zhengde Xu , Jie Ren , Zhengping Yuan , Yue Xin , Xue Zhang , Shuyuan Shi , Yumeng Yang , Zhifeng Zhu

We have developed a new three-dimensional algorithm, based on the standard P$^3$M method, for computing deflections due to weak gravitational lensing. We compare the results of this method with those of the two-dimensional planar approach,…

Astrophysics · Physics 2009-10-31 H. M. P. Couchman , Andrew J. Barber , Peter A. Thomas

In regression analysis under artificial neural networks, the prediction performance depends on determining the appropriate weights between layers. As randomly initialized weights are updated during back-propagation using the gradient…

Machine Learning · Computer Science 2020-09-09 Eunho Koo , Hyungjun Kim
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