玻色凝聚的原子自旋链中的非线性自旋波

研究了囚禁在光晶格中的旋量玻色-爱因斯坦凝聚体(BEC)形成的原子自旋链中的相干非线性自旋波的激发与调制不稳定性.通过解析分析，得到了调制不稳定性的一般判据以及其对原子自旋的长程耦合的依赖关系.在蓝失谐和红失谐光晶格的情况下，分别具体分析了长程非线性自旋耦合，包括光诱导的和静磁诱导的偶极-偶极相互作用对相干自旋波调制不稳定性的影响.     

自旋-轨道耦合对磁性绝缘体磁光Kerr效应的影响

采用单原子能级跃迁模型,导出在同时考虑自旋交换劈裂和自旋轨道耦合时磁光Kerr旋转的微观表达式,并就四能级跃迁情况,研究了磁光效应随原子基态及激发态能级自旋轨道耦合常数的变化规律.结果表明:磁光Kerr旋转角与自旋轨道耦合劈裂能量不成正比;单原子能级自旋轨道耦合常数为正或中间激发态自旋轨道耦合常数为负时,有利于提高磁光Kerr旋转. 关键词： 磁光Kerr效应 自旋轨道耦合 线性响应核 劈裂     

自旋轨道转矩

信息磁存储技术在日常生活中,特别是目前的“大数据”时代,扮演着极其重要的角色。随着物理学的深入研究和发展,磁存储技术也发生着翻天覆地的变化。磁性随机存储器被视为未来磁存储技术的一颗新星,低功耗、读写快的特点使其拥有着巨大并且广泛的应用前景。磁存储技术很大程度上依赖于写入和读取磁存储单元信息的效率。近年来,基于自旋轨道耦合这一基本物理原理发展而来的自旋轨道转矩,由于能够有效地控制磁存储单元的磁矩,而受到了凝聚态物理和电子信息领域的广泛关注。涉及自旋轨道转矩的物理效应,如自旋轨道耦合、自旋霍尔效应、Edelstein效应等,都正在被全世界科学家深入地研究中。文章涵盖了近年来自旋轨道转矩领域的最新研究进展,重点介绍了重金属、二维材料体系、拓扑绝缘体以及反铁磁体系中的自旋轨道转矩。文章最后展望了自旋轨道转矩未来的发展方向及其潜在的工业应用价值。     

多层结构双自旋过滤隧道结中的电子输运特性

在转移矩阵方法及Mireles和Kirczenow的量子相干输运理论的基础上,研究了正常金属层/磁性半导体层/非磁绝缘层/磁性半导体层/正常金属层型双自旋过滤隧道结中Rashba自旋轨道耦合效应和自旋过滤效应对自旋相关输运的影响.讨论了隧穿磁电阻（TMR）、隧穿电导与各材料层厚度、Rashba自旋轨道耦合强度以及两磁性半导体中磁矩的相对夹角θ之间的关系.研究表明：含磁性半导体层的双自旋过滤隧道结由于磁性半导体层的自旋过滤效应和Rashba自旋轨道耦合作用可获得极大的TMR值.另外TMR和隧穿电导随着Rashba自旋轨道耦合强度的变化而振荡,振荡周期随Rashba自旋轨道耦合强度的增大逐渐减小. 关键词： 双自旋过滤隧道结 Rashba自旋轨道耦合 隧穿磁电阻 隧穿电导     

Fe-Ga磁致伸缩合金自旋轨道耦合效应研究

磁致伸缩和磁晶各向异性来源于自旋轨道耦合及晶体场效应,两种效应作用效果将对Fe-Ga大磁致伸缩合金研究方向将起指导作用.通过基于均匀梯度近似的线形缀加平面波法研究了Fe-Ga磁致伸缩合金中D03、B2-like、L12结构在施加自旋轨道耦合效应前后Fe原子3d轨道劈裂情况,轨道电子数及磁晶各向异性.结果表明,自旋轨道耦合效应可以进一步劈裂D03及L12立方结构晶体场,D03和L12结构中Fe原子3d轨道电子数,尤其是dxy和d(x2-y2)轨道下自旋电子数由于自旋轨道耦合作用发生改变;但自旋轨道耦合对B2-like结构作用微弱.Fe-Ga磁致伸缩合金中磁晶各向异性主要由晶体场效应决定.     

自旋转向相变中的条纹磁畴研究

用光激发电子显微镜研究了Fe/Ni铁磁膜和Co/Cu/Fe/Ni磁耦合膜中的条纹磁畴. 实验发现：在Fe/Ni体系中,条纹磁畴宽度随着铁层厚度趋近于自旋转向相变点呈指数下降;在Co/Cu/Fe/Ni体系中,Fe/Ni层中的条纹磁畴会沿着钴层磁矩的方向排列,其磁畴宽度会随着Co－Fe/Ni间的层间耦合强度呈指数下降. 理论上推导出条纹磁畴随着磁各向异性能和层间耦合强度变化的统一公式,而实验结果与理论符合得非常好.     

圆柱状铁磁体中的偶极-交换自旋波

对于轴向磁化的圆柱状铁磁体,同时考虑偶极作用和交换作用,得到了偶极-交换自旋波的本征方程,给出了频谱的数值结果。当自旋波波矢β较小,即偶极能起主要作用时,相当于静磁模的结果,β较大,即交换能起主要作用时,过渡到宏观自旋波交换模理论的结果。     

自旋转向相变中的条纹磁畴研究

用光激发电子显微镜研究了Fe／Ni铁磁膜和Co／Cu／Fe／Ni磁耦合膜中的条纹磁畴．实验发现：在Fe／Ni体系中，条纹磁畴宽度随着铁层厚度趋近于自旋转向相变点呈指数下降；在Co／Cu／Fe／Ni体系中，Fe／M层中的条纹磁畴会沿着钴层磁矩的方向排列，其磁畴宽度会随着Co-Fe／Ni间的层间耦合强度呈指数下降．理论上推导出条纹磁畴随着磁各向异性能和层间耦合强度变化的统一公式，而实验结果与理论符合得非常好。     

金属表面Rashba自旋轨道耦合作用研究进展

自旋轨道耦合是电子自旋与轨道相互作用的桥梁, 它提供了利用外电场来调控电子的轨道运动、进而调控电子自旋状态的可能. 固体材料中有很多有趣的物理现象, 例如磁晶各向异性、自旋霍尔效应、拓扑绝缘体等, 都与自旋轨道耦合密切相关. 在表面/界面体系中, 由于结构反演不对称导致的自旋轨道耦合称为Rashba自旋轨道耦合, 它最早在半导体材料中获得研究, 并因其强度可由栅电压灵活调控而备受关注, 成为电控磁性的重要物理基础之一. 继半导体材料后, 金属表面成为具有Rashba自旋轨道耦合作用的又一主流体系. 本文以Au(111), Bi(111), Gd(0001)等为例综述了磁性与非磁性金属表面Rashba自旋轨道耦合的研究进展, 讨论了表面电势梯度、原子序数、表面态波函数的对称性, 以及表面态中轨道杂化等因素对金属表面Rashba自旋轨道耦合强度的影响. 在磁性金属表面, 同时存在Rashba自旋轨道耦合作用与磁交换作用, 通过Rashba自旋轨道耦合可能实现电场对磁性的调控. 最后, 阐述了外加电场和表面吸附等方法对金属表面Rashba自旋轨道耦合的调控. 基于密度泛函理论的第一性原理计算和角分辨光电子能谱测量是金属表面Rashba自旋轨道耦合的两大主要研究方法, 本文综述了这两方面的研究结果, 对金属表面Rashba自旋轨道耦合进行了深入全面的总结和分析.     

自旋轨道耦合作用的等效磁场

自旋与电荷一样,是电子的固有属性,电子的周期性轨道运动产生的磁场与电子的自旋磁矩相互作用,这种磁相互作用就是自旋轨道相互作用。在原子物理学中,这种自旋轨道作用会影响原子光谱的精细结构,然而教材中缺少自旋轨道耦合作用在二维半导体材料中的微观描述。本文将引入Rashba和Dresselhaus自旋轨道耦合作用的哈密顿量,研究单电子在无外场下二维平面内运动,讨论一种或者两种自旋轨道耦合的哈密顿量表示。通过自旋与等效磁场耦合的塞曼能量表示,本文计算了本征态下不同自旋轨道耦合作用下的等效磁场,从而有助于探索二维半导体材料中不同自旋轨道耦合作用下的物理特性。     

Vector-FEM Analysis of Millimeter Wave Circulator with SOC Truncation Technique

In this paper, the application of the edge-based vector finite element method combined with the short-open calibration (SOC) technique to waveguide junction circulators was presented. By applying permittivity and permeability tensors, the functional formula for tetrahedral vector elements are analytically derived in terms of the electric field strength. And the SOC technique is directly accommodated in the FEM algorithm and used to truncate the computational domain. The SOC technique removes or separates unwanted parasitics brought by the approximation of the impressed voltage source and also the problem of resulting inconsistency between different simulations. Truncation of computational domain by SOC technique makes the iterative solvers for large-sparse linear matrix equations from FEM converge much faster than by perfectly matching layers (PML). The analysis of three 2-port networks is sufficient to form the admittance matrix of the corresponding three-port waveguide junction circulators. To validate the theory, typical three-dimensional numerical results of isotropic dielectric-filled discontinuity are first presented and compared with other hybrid numerical techniques. Further, the ferrite filled waveguide junction circulators are analysed and compared with the measured and available publications. The comparison shows that good agreement is obtained.     

Efficient Analysis of Millimeter Wave Circuit Using Numerical Calibration Technique

In this paper, A numerical technique, called short-open calibration (SOC), in conjunction with edge-based finite element method (FEM) is employed to analyze millimeter wave circuit that can be segmented into two distinct section: static model of feedlines and dynamic model of circuit discontinuity. The derivation of reflection coefficient of 3D discontinuities is arranged in two steps. In the first step, this SOC technique is incorporated into the FEM for mesh truncation of computaional domain. In this way, much faster convergence is achieved for large-sparse linear matrix equations from FEM by this termination than by perfectly matching layers (PML). The field distribution of the dominated mode in uniform feedlines and entire circuit is obtained individually by exciting a pair of even and odd impressed voltages along the struture. In step two, Scattering parameters based on the voltages and current defintion is calculated by integral of electric and magnetic fields. Numerical solutions for a class of planar circuit discontuities are very well compared with those published in the available literatures.     

Self-organized criticality in a nutshell

In order to gain insight into the nature of self-organized criticality (SOC), we present a minimal model exhibiting this phenomenon. In this analytically solvable model, the state of the system is fully described by a single-integer variable. The system organizes in its critical state without external tuning. We derive analytically the probability distribution of durations of disturbances propagating through the system. As required by SOC, this distribution is scale invariant and follows a power law over several orders of magnitude. Our solution also reproduces the exponential tail of the distribution due to finite size effects. Moreover, we show that large avalanches are suppressed when stabilizing the system in its critical state. Interestingly, avalanches are affected in a similar way when driving the system away from the critical state. With this model, we have reduced SOC dynamics to a leveling process as described by Ehrenfest's famous flea model.     

Stability of spin-orbit coupled Fermi gases with population imbalance

We use the self-consistent mean-field theory to analyze the effects of Rashba-type spin-orbit coupling (SOC) on the ground-state phase diagram of population-imbalanced Fermi gases throughout the BCS-Bose-Einstein condensate evolution. We find that the SOC and population imbalance are counteracting, and that this competition tends to stabilize the uniform superfluid phase against the phase separation. However, we also show that the SOC stabilizes (destabilizes) the uniform superfluid phase against the normal phase for low (high) population imbalances. In addition, we find topological quantum phase transitions associated with the appearance of momentum-space regions with zero quasiparticle energies, and study their signatures in the momentum distribution.     

Self-organized Criticality Model for Ocean Internal Waves

In this paper, we present a simple spring-block model for ocean internal waves based on the self-organized criticality （SOC）. The oscillations of the water blocks in the model display power-law behavior with an exponent of -2 in the frequency domain, which is similar to the current and sea water temperature spectra in the actual ocean and the universal Garrett and Munk deep ocean internal wave model [Geophysical Fluid Dynamics 2 （1972） 225; J. Geophys. Res. 80 （1975） 291]. The influence of the ratio of the driving force to the spring coefficient to SOC behaviors in the model is also discussed.     

Subsampling effects in neuronal avalanche distributions recorded in vivo

Background  

Many systems in nature are characterized by complex behaviour where large cascades of events, or avalanches, unpredictably alternate with periods of little activity. Snow avalanches are an example. Often the size distribution f(s) of a system's avalanches follows a power law, and the branching parameter sigma, the average number of events triggered by a single preceding event, is unity. A power law for f(s), and sigma = 1, are hallmark features of self-organized critical (SOC) systems, and both have been found for neuronal activity in vitro. Therefore, and since SOC systems and neuronal activity both show large variability, long-term stability and memory capabilities, SOC has been proposed to govern neuronal dynamics in vivo. Testing this hypothesis is difficult because neuronal activity is spatially or temporally subsampled, while theories of SOC systems assume full sampling. To close this gap, we investigated how subsampling affects f(s) and sigma by imposing subsampling on three different SOC models. We then compared f(s) and sigma of the subsampled models with those of multielectrode local field potential (LFP) activity recorded in three macaque monkeys performing a short term memory task.     

双包络去除和OPLS的土壤有机碳含量反演

土壤有机碳(SOC)对土壤肥力至关重要,可见-近红外光谱能对其实现快速反演,为区域监测和定量遥感提供基础。针对包络去除(CR)仅提供反射光谱的单向吸收特征,多元回归中预测信息缺失、拟合结果未充分反映波段特征,利用世界土壤数据库245份中国土样的可见-近红外光谱,首次提出双包络去除(BCR)与正交偏最小二乘(OPLS)结合的反演方法BCR-OPLS,同时纳入光谱反射率及上、下边包络去除量,讨论组分参考值偏态分布时幂函数或对数缩放在回归时的优化作用,建立多种土壤的综合与分类估计模型,并导出适用特定类型土壤的SOC指数。结果表明,对多种土壤有机碳含量反演,相较PLSR模型(决定系数R2和估计根均方误差RMSEE分别为0.69和0.45%),BCR-OPLS模型的预测能力明显改善(R2和RMSEE分别为0.9和0.26%);而对单一类型土壤的反演精度则进一步提升,根据载荷趋势和变量重要性建立的SOC指数,预测如黄色铁铝土的有机碳含量时(以400,590和920 nm),其反演结果R2达到0.94、RMSEE达到0.21%。双包络去除与OPLS相结合,增强了光谱特征诊断的鲁棒性,提高了不同类型土壤的综合与分类SOC全谱反演精度,基于直观的图谱表达可构建简单的波段预测关系,深化了物理经验吸收与统计多元回归之间的联系。     

Asymmetric Fraunhofer pattern in Josephson junctions from heterodimensional superlattice V5S8

Introduction of spin-orbit coupling (SOC) in a Josephson junction (JJ) gives rise to unusual Josephson effects. We investigate JJs based on a newly discovered heterodimensional superlattice V₅S₈ with a special form of SOC. The unique homointerface of our JJs enables elimination of extrinsic effects due to interfaces and disorder. We observe asymmetric Fraunhofer patterns with respect to both the perpendicular magnetic field and the current. The asymmetry is influenced by an in-plane magnetic field. Analysis of the pattern points to a nontrivial spatial distribution of the Josephson current that is intrinsic to the SOC in V₅S₈.     

Self-organized Criticality in a Model Based on Neural Network

Based on the LISSOM neural network model, we introduce a model to investigate self-organized criticality in the activity of neural populations. The influence of connection (synapse) between neurons has been adequately considered in this model. It is found to exhibit self-organized criticality (SOC) behavior under appropriate conditions. We also find that the learning process has promotive influence on emergence of SOC behavior. In addition, we analyze the influence of various factors of the model on the SOC behavior, which is characterized by the power-law behavior of the avalanche size distribution.     

Boltzmann power laws

In this paper we propose a model based on the Boltzmann distribution as a mechanism for generating power laws, Boltzmann Power Laws (BPL). Some of these power laws are studied and compared to popular power laws such as ‘1/f’ noise and self-organized criticality (SOC). We will show how, in some cases, these BPLs reproduce behaviors similar to the finite size scaling (FSS) scenario, which is typical of SOC.