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Journal articles on the topic 'Magnetic systems dynamics'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Ji, J. C., Colin H. Hansen, and Anthony C. Zander. "Nonlinear Dynamics of Magnetic Bearing Systems." Journal of Intelligent Material Systems and Structures 19, no. 12 (May 20, 2008): 1471–91. http://dx.doi.org/10.1177/1045389x08088666.

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2

Wang, Bin, Jianwei Li, Fuming Xu, Yadong Wei, Jian Wang, and Hong Guo. "Transient dynamics of magnetic Co–graphene systems." Nanoscale 7, no. 22 (2015): 10030–38. http://dx.doi.org/10.1039/c5nr01525a.

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3

Awschalom, D. D., and J. M. Halbout. "Picosecond spin dynamics in dilute magnetic systems." Journal of Magnetism and Magnetic Materials 54-57 (February 1986): 1381–84. http://dx.doi.org/10.1016/0304-8853(86)90862-0.

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4

Rubí, J. M., A. Pérez-Madrid, and M. C. Miguel. "Relaxation dynamics in systems of magnetic particles." Journal of Non-Crystalline Solids 172-174 (September 1994): 495–500. http://dx.doi.org/10.1016/0022-3093(94)90479-0.

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5

Zivieri, Roberto, and Giancarlo Consolo. "Hamiltonian and Lagrangian Dynamical Matrix Approaches Applied to Magnetic Nanostructures." Advances in Condensed Matter Physics 2012 (2012): 1–16. http://dx.doi.org/10.1155/2012/765709.

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Two micromagnetic tools to study the spin dynamics are reviewed. Both approaches are based upon the so-called dynamical matrix method, a hybrid micromagnetic framework used to investigate the spin-wave normal modes of confined magnetic systems. The approach which was formulated first is the Hamiltonian-based dynamical matrix method. This method, used to investigate dynamic magnetic properties of conservative systems, was originally developed for studying spin excitations in isolated magnetic nanoparticles and it has been recently generalized to study the dynamics of periodic magnetic nanoparticles. The other one, the Lagrangian-based dynamical matrix method, was formulated as an extension of the previous one in order to include also dissipative effects. Such dissipative phenomena are associated not only to intrinsic but also to extrinsic damping caused by injection of a spin current in the form of spin-transfer torque. This method is very accurate in identifying spin modes that become unstable under the action of a spin current. The analytical development of the system of the linearized equations of motion leads to a complex generalized Hermitian eigenvalue problem in the Hamiltonian dynamical matrix method and to a non-Hermitian one in the Lagrangian approach. In both cases, such systems have to be solved numerically.

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6

Kovalev, A. S., Y. E. Prilepskii, and K. A. Gradjushko. "Dynamics of pair of coupled nonlinear systems. I. Magnetic systems." Low Temperature Physics 46, no. 8 (August 2020): 856–62. http://dx.doi.org/10.1063/10.0001554.

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7

Golubović, Leonardo, and Shechao Feng. "Dynamics of droplets in random Ising magnetic systems." Physical Review B 43, no. 1 (January 1, 1991): 972–92. http://dx.doi.org/10.1103/physrevb.43.972.

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8

Nordblad, Per. "Non-equilibrium dynamics in fine magnetic particle systems." Journal of Physics D: Applied Physics 41, no. 13 (June 19, 2008): 134011. http://dx.doi.org/10.1088/0022-3727/41/13/134011.

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9

Morrison, P. J. "Magnetic field lines, Hamiltonian dynamics, and nontwist systems." Physics of Plasmas 7, no. 6 (June 2000): 2279–89. http://dx.doi.org/10.1063/1.874062.

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10

Enomoto, Y., and R. Kato. "Annihilation dynamics of two-dimensional magnetic vortex systems." Progress in Colloid & Polymer Science 106, no. 1 (December 1997): 287–90. http://dx.doi.org/10.1007/bf01189540.

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11

SHERMAN, A., and M. SCHREIBER. "SPIN DYNAMICS IN STRONGLY CORRELATED ELECTRON SYSTEMS." International Journal of Modern Physics B 21, no. 05 (February 20, 2007): 669–90. http://dx.doi.org/10.1142/s0217979207036692.

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Magnetic properties of the two-dimensional t-J model are reviewed. Some of these properties are close to those observed in cuprate perovskites. In particular, the magnetic response of the model is characterized by the intensive peak at the antiferromagnetic wave vector and at some transfer frequency. The peak splits into several incommensurate maxima for lower and higher frequencies. We discuss mechanisms which are responsible for these peculiarities in the model, which might also refer to cuprates.

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12

Jayaraman, C. P., J. A. Kirk, D. K. Anand, and M. Anjanappa. "Rotor Dynamics of Flywheel Energy Storage Systems." Journal of Solar Energy Engineering 113, no. 1 (February 1, 1991): 11–18. http://dx.doi.org/10.1115/1.2929944.

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This paper deals with the dynamic analysis of the magnetic bearing stack system. The stack consists of a single flywheel supported by two magnetic bearings. To model the system, the dynamic equations of a magnetically suspended flywheel are derived. Next, the four control systems controlling the four degrees-of-freedom of the stack are incorporated into the model. The resulting dynamic equations are represented as first-order differential equations in a matrix form. A computer simulation program was then used to simulate the working of the magnetic bearing stack. Real time plots from the simulation are used to show the effect of dynamic coupling on torque response. Frequency response is used to determine the resonance frequencies of the stack system. It is found that system stability depends on flywheel speed. On the basis of the above results suggestions are made to improve stability and allow the stack to be spun beyond 60,000 rpm.

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13

Grines, V. Z., E. V. Zhuzhoma, and O. V. Pochinka. "Dynamical Systems and Topology of Magnetic Fields in Conducting Medium." Contemporary Mathematics. Fundamental Directions 63, no. 3 (December 15, 2017): 455–74. http://dx.doi.org/10.22363/2413-3639-2017-63-3-455-474.

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We discuss application of contemporary methods of the theory of dynamical systems with regular and chaotic hyperbolic dynamics to investigation of topological structure of magnetic ﬁelds in conducting media. For substantial classes of magnetic ﬁelds, we consider well-known physical models allowing us to reduce investigation of such ﬁelds to study of vector ﬁelds and Morse-Smale diﬀeomorphisms as well as diﬀeomorphisms with nontrivial basic sets satisfying the A axiom introduced by Smale. For the point-charge magnetic ﬁeld model, we consider the problem of separator playing an important role in the reconnection processes and investigate relations between its singularities. We consider the class of magnetic ﬁelds in the solar corona and solve the problem of topological equivalency of ﬁelds in this class. We develop a topological modiﬁcation of the Zeldovich funicular model of the nondissipative cinematic dynamo, constructing a hyperbolic diﬀeomorphism with chaotic dynamics that is conservative in the neighborhood of its transitive invariant set.

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14

Yeh, T. J., Ying-Jer Chung, and Wei-Chung Wu. "Sliding Control of Magnetic Bearing Systems." Journal of Dynamic Systems, Measurement, and Control 123, no. 3 (October 29, 1999): 353–62. http://dx.doi.org/10.1115/1.1386392.

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This paper proposes a sliding control scheme to deal with the nonlinear, uncertain dynamics of magnetic bearing systems. The controller is designed based on the Thevenin equivalent of a network model that characterizes both the main electromechanical interaction and the secondary electromagnetic effects such as flux leakage, fringing fluxes, and finite core permeance. The controller consists of two parts: the nominal control part that linearizes the nonlinear dynamics, and the robust control part that provides robust performance against the uncertainties. Because the unidirectionality of magnetic forces may render the control law ill-defined in some scenarios, a lemma is proved and can be used to select proper control parameters to guarantee the performance. Moreover, a control modification is also suggested in order to reduce the intensive control pulsation in the absence of gravity. The proposed control scheme is applied to the thrust bearing of a magnetically levitated rotor. Simulations and experiments indicate that the control system is capable of maintaining stability and consistent performance.

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15

Куклина, И. В. "Stochastic dynamics of atomic systems in a magnetic field." Scientific Herald of Uzhhorod University.Series Physics 10 (December 31, 2001): 221–24. http://dx.doi.org/10.24144/2415-8038.2001.10.221-224.

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16

Isayev, Kovalevsky, and Peletminsky. "Variational principle and low-frequency dynamics of magnetic systems." Condensed Matter Physics, no. 3 (1994): 57. http://dx.doi.org/10.5488/cmp.3.57.

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17

Morandi, Omar. "Quantum Stochastic Model for Spin Dynamics in Magnetic Systems." Communications in Computational Physics 26, no. 3 (June 2019): 681–99. http://dx.doi.org/10.4208/cicp.oa-2018-0151.

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18

Rezende, S. M., and F. M. de Aguiar. "Nonlinear dynamics in microwave driven coupled magnetic multilayer systems." Journal of Applied Physics 79, no. 8 (1996): 6309. http://dx.doi.org/10.1063/1.362047.

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19

Tsai, Shan-Ho, and David P. Landau. "Spin Dynamics: An Atomistic Simulation Tool for Magnetic Systems." Computing in Science & Engineering 10, no. 1 (January 2008): 72–79. http://dx.doi.org/10.1109/mcse.2008.12.

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20

Sancho, J. M., A. M. Lacasta, M. C. Torrent, J. Garcia-Ojalvo, and J. Tejada. "Langevin equation approach for slow dynamics in magnetic systems." Physics Letters A 181, no. 4 (October 1993): 335–39. http://dx.doi.org/10.1016/0375-9601(93)90617-9.

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21

Kana, L. K., A. Fomethe, H. B. Fotsin, E. T. Wembe, and A. I. Moukengue. "Complex Dynamics and Synchronization in a System of Magnetically Coupled Colpitts Oscillators." Journal of Nonlinear Dynamics 2017 (April 10, 2017): 1–13. http://dx.doi.org/10.1155/2017/5483956.

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We propose the use of a simple, cheap, and easy technique for the study of dynamic and synchronization of the coupled systems: effects of the magnetic coupling on the dynamics and of synchronization of two Colpitts oscillators (wireless interaction). We derive a smooth mathematical model to describe the dynamic system. The stability of the equilibrium states is investigated. The coupled system exhibits spectral characteristics such as chaos and hyperchaos in some parameter ranges of the coupling. The numerical exploration of the dynamics system reveals various bifurcations scenarios including period-doubling and interior crisis transitions to chaos. Moreover, various interesting dynamical phenomena such as transient chaos, coexistence of solution, and multistability (hysteresis) are observed when the magnetic coupling factor varies. Theoretical reasons for such phenomena are provided and experimentally confirmed with practical measurements in a wireless transfer.

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22

Stasyszyn, F. A., and M. de los Rios. "Faraday rotation measure dependence on galaxy cluster dynamics." Monthly Notices of the Royal Astronomical Society 487, no. 4 (June 28, 2019): 4768–74. http://dx.doi.org/10.1093/mnras/stz1450.

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ABSTRACT We study the magnetic fields in galaxy clusters through Faraday rotation measurements crossing systems in different dynamical states. We confirm that magnetic fields are present in those systems and analyse the difference between relaxed and unrelaxed samples with respect to the dispersion between their inherent Faraday rotation measurements (RM). We found an increase of this RM dispersion and a higher RM overlapping frequency for unrelaxed clusters. This fact suggests that a large-scale physical process is involved in the nature of unrelaxed systems and possible depolarization effects are present in the relaxed ones. We show that dynamically unrelaxed systems can enhance magnetic fields to large coherence lengths. In contrast, the results for relaxed systems suggests that a small-scale dynamo can be a dominant mechanism for sustaining magnetic fields, leading to intrinsic depolarization.

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23

Maaravi, Tal, and Oded Hod. "Simulating Electron Dynamics in Open Quantum Systems under Magnetic Fields." Journal of Physical Chemistry C 124, no. 16 (March 17, 2020): 8652–62. http://dx.doi.org/10.1021/acs.jpcc.0c01706.

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24

Badran, Esmael, and Sergio E. Ulloa. "Frequency-dependent magnetotransport and particle dynamics in magnetic modulation systems." Physical Review B 59, no. 4 (January 15, 1999): 2824–32. http://dx.doi.org/10.1103/physrevb.59.2824.

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25

Berkov, D. V., N. L. Gorn, and P. Görnert. "The Langevin-dynamics simulation of interacting fine magnetic particle systems." Journal of Magnetism and Magnetic Materials 226-230 (May 2001): 1936–38. http://dx.doi.org/10.1016/s0304-8853(00)01293-2.

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26

Chechetkin, V. R., and V. S. Lutovinov. "Dynamics of dilute spin systems in random fluctuating magnetic fields." Physica A: Statistical Mechanics and its Applications 145, no. 3 (October 1987): 498–532. http://dx.doi.org/10.1016/0378-4371(87)90006-9.

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27

Cárdenas, Esteban, Dirk Hundertmark, Edgardo Stockmeyer, and Semjon Vugalter. "On the Asymptotic Dynamics of 2-D Magnetic Quantum Systems." Annales Henri Poincaré 22, no. 2 (January 8, 2021): 415–45. http://dx.doi.org/10.1007/s00023-020-01012-1.

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28

Crippa, Luca, Francesco Tacchino, Mario Chizzini, Antonello Aita, Michele Grossi, Alessandro Chiesa, Paolo Santini, Ivano Tavernelli, and Stefano Carretta. "Simulating Static and Dynamic Properties of Magnetic Molecules with Prototype Quantum Computers." Magnetochemistry 7, no. 8 (August 12, 2021): 117. http://dx.doi.org/10.3390/magnetochemistry7080117.

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Magnetic molecules are prototypical systems to investigate peculiar quantum mechanical phenomena. As such, simulating their static and dynamical behavior is intrinsically difficult for a classical computer, due to the exponential increase of required resources with the system size. Quantum computers solve this issue by providing an inherently quantum platform, suited to describe these magnetic systems. Here, we show that both the ground state properties and the spin dynamics of magnetic molecules can be simulated on prototype quantum computers, based on superconducting qubits. In particular, we study small-size anti-ferromagnetic spin chains and rings, which are ideal test-beds for these pioneering devices. We use the variational quantum eigensolver algorithm to determine the ground state wave-function with targeted ansatzes fulfilling the spin symmetries of the investigated models. The coherent spin dynamics are simulated by computing dynamical correlation functions, an essential ingredient to extract many experimentally accessible properties, such as the inelastic neutron cross-section.

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29

Youcef-Toumi, K., and S. Reddy. "Dynamic Analysis and Control of High Speed and High Precision Active Magnetic Bearings." Journal of Dynamic Systems, Measurement, and Control 114, no. 4 (December 1, 1992): 623–33. http://dx.doi.org/10.1115/1.2897734.

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The successful operation of actively controlled magnetic bearings depends greatly on the electromechanical design and control system design. The function of the controller is to maintain bearing performance in the face of system dynamic variations and unpredictable disturbances. The plant considered here is the rotor and magnetic bearing assembly of a test apparatus. The plant dynamics consisting of actuator dynamics, rigid rotor dynamics and flexibility effects are described. Various components of the system are identified and their corresponding linearized theoretical models are validated experimentally. Tests are also run to identify the coupling effects and flexibility modes. The highly nonlinear behavior of the magnetic bearings in addition to the inherent instability of such a system makes the controller design complex. A digital Time Delay Controller is designed and its effectiveness evaluated using several simulations based on linear and nonlinear models for the bearing including bending mode effects. This controller is implemented as an alternative to an existing linear analog compensator. Several experiments are conducted with each controller for spinning and nonspinning conditions. These include time responses, closed loop frequency responses and disturbance rejection responses. The experimental results and comparisons between those of a digital Time Delay Controller and an analog compensator indicate that the Time Delay Controller has impressive static and dynamic stiffness characteristics for the prototype considered. The Time Delay Controller also maintains almost the same dynamic behavior over a significantly wide range of rotor speeds.

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30

Berkov, D. V., N. L. Gorn, and P. G�rnert. "Magnetization Dynamics in Nanoparticle Systems: Numerical Simulation Using Langevin Dynamics." physica status solidi (a) 189, no. 2 (February 2002): 409–21. http://dx.doi.org/10.1002/1521-396x(200202)189:2<409::aid-pssa409>3.0.co;2-g.

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31

Fu, Hong Ya, Ping Fan Liu, Qing Chun Zhang, and Guo Dong Li. "Neural Network Analysis of the Magnetic Bearing Systems." Applied Mechanics and Materials 29-32 (August 2010): 190–96. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.190.

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In order to overcome the system nonlinear instability and uncertainty inherent in magnetic bearing systems, two PID neural network controllers (BP-based and GA-based) are designed and trained to emulate the operation of a complete system. Through the theoretical deduction and simulation results, the principles for the parameters choice of two neural network controllers are given. The feasibility of using the neural network to control nonlinear magnetic bearing systems with un-known dynamics is demonstrated. The robust performance and reinforcement learning capability in controlling magnetic bearing systems are compared between two PID neural network controllers.

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32

LANDAU, D. P., SHAN-HO TSAI, M. KRECH, and ALEX BUNKER. "IMPROVED SPIN DYNAMICS SIMULATIONS OF MAGNETIC EXCITATIONS." International Journal of Modern Physics C 10, no. 08 (December 1999): 1541–51. http://dx.doi.org/10.1142/s0129183199001327.

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Using Suzuki–Trotter decompositions of exponential operators we describe new algorithms for the numerical integration of the equations of motion for classical spin systems. These techniques conserve spin length exactly and, in special cases, also conserve the energy and maintain time reversibility. We investigate integration schemes of up to eighth order and show that these new algorithms can be used with much larger time steps than a well established predictor–corrector method. These methods may lead to a substantial speedup of spin dynamics simulations, however, the choice of which order method to use is not always straightforward.

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33

Guduff, Ludmilla, Ahmed J. Allami, Carine van Heijenoort, Jean-Nicolas Dumez, and Ilya Kuprov. "Efficient simulation of ultrafast magnetic resonance experiments." Physical Chemistry Chemical Physics 19, no. 27 (2017): 17577–86. http://dx.doi.org/10.1039/c7cp03074f.

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We present a convenient and powerful simulation formalism for ultrafast NMR spectroscopy. The formalism is based on the Fokker–Planck equation that supports systems with complicated combinations of classical spatial dynamics and quantum mechanical spin dynamics.

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34

Qiao, Xin, Xiao-Bo Zhang, Ai-Xia Zhang, Zi-Fa Yu, and Ju-Kui Xue. "Dynamics and phase transitions in biased ladder systems with magnetic flux." Physics Letters A 383, no. 25 (September 2019): 3095–100. http://dx.doi.org/10.1016/j.physleta.2019.06.047.

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35

Gumbs, Godfrey, Danhong Huang, and Miroslav Kolář. "Axial-magnetic-field effects on the dynamics of interacting-particle systems." Physical Review B 47, no. 8 (February 15, 1993): 4379–84. http://dx.doi.org/10.1103/physrevb.47.4379.

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36

Radons, G., and A. Zienert. "Nonlinear dynamics of complex hysteretic systems: Oscillator in a magnetic field." European Physical Journal Special Topics 222, no. 7 (September 2013): 1675–84. http://dx.doi.org/10.1140/epjst/e2013-01954-4.

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37

Kuznetsov, E. A., and V. P. Ruban. "Hamiltonian dynamics of vortex and magnetic lines in hydrodynamic type systems." Physical Review E 61, no. 1 (January 1, 2000): 831–41. http://dx.doi.org/10.1103/physreve.61.831.

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38

Kalegaev, V. V., and E. V. Makarenkov. "Dynamics of magnetospheric current systems during magnetic storms of different intensity." Geomagnetism and Aeronomy 46, no. 5 (October 2006): 570–79. http://dx.doi.org/10.1134/s0016793206050045.

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39

Jin, Ju, and Toshiro Higuchi. "Dynamics and Stability of Magnetic Suspension Systems Using Tuned LC Circuit." JSME international journal. Ser. C, Dynamics, control, robotics, design and manufacturing 37, no. 3 (1994): 494–98. http://dx.doi.org/10.1299/jsmec1993.37.494.

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40

Vargas, José M., Abhishek Srivastava, Ezra Garza, Amin Yourdkhani, Gabriel Caruntu, and Leonard Spinu. "Dynamics and collective state of ordered magnetic nanoparticles in mesoporous systems." Journal of Applied Physics 112, no. 9 (November 2012): 094309. http://dx.doi.org/10.1063/1.4764018.

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41

Arter, Wayne. "Reduced MHD and Astrophysical Fluid Dynamics." Proceedings of the International Astronomical Union 6, S271 (June 2010): 355–60. http://dx.doi.org/10.1017/s1743921311017789.

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AbstractRecent work has shown a relationship between between the equations of Reduced Magnetohydrodynamics (RMHD), used to model magnetic fusion laboratory experiments, and incompressible magnetoconvection (IMC), employed in the simulation of astrophysical fluid dynamics (AFD), which means that the two systems are mathematically equivalent in certain geometries. Limitations on the modelling of RMHD, which were found over twenty years ago, are reviewed for an AFD audience, together with hitherto unpublished material on the role of finite-time singularities in the discrete equations used to model fluid dynamical systems. Possible implications for turbulence modelling are mentioned.

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42

Mikula, Slawomir, and Andrzej Kos. "Thermal Dynamics of Multicore Integrated Systems." IEEE Transactions on Components and Packaging Technologies 33, no. 3 (September 2010): 524–34. http://dx.doi.org/10.1109/tcapt.2009.2038169.

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43

Rajagopalan, Raj. "The dynamics of colloidal systems." Journal of Colloid and Interface Science 124, no. 2 (August 1988): 700–701. http://dx.doi.org/10.1016/0021-9797(88)90211-1.

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44

Annaswamy, A. M., C. Thanomsat, N. Mehta, and Ai-Poh Loh. "Applications of Adaptive Controllers to Systems With Nonlinear Parametrization." Journal of Dynamic Systems, Measurement, and Control 120, no. 4 (December 1, 1998): 477–87. http://dx.doi.org/10.1115/1.2801489.

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Nonlinear parametrizations occur in dynamic models of several complex engineering problems. The theory of adaptive estimation and control has been applicable, by and large, to problems where parameters appear linearly. We have recently developed an adaptive controller that is capable of estimating parameters that appear nonlinearly in dynamic systems in a stable manner. In this paper, we present this algorithm and its applicability to two problems, temperature regulation in chemical reactors and precise positioning using magnetic bearings both of which contain nonlinear parametrizations. It is shown in both problems that the proposed controller leads to a significantly better performance than those based on linear parametrizations or linearized dynamics.

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45

Lachman, Ella O., Andrea F. Young, Anthony Richardella, Jo Cuppens, H. R. Naren, Yonathan Anahory, Alexander Y. Meltzer, et al. "Visualization of superparamagnetic dynamics in magnetic topological insulators." Science Advances 1, no. 10 (November 2015): e1500740. http://dx.doi.org/10.1126/sciadv.1500740.

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Quantized Hall conductance is a generic feature of two-dimensional electronic systems with broken time reversal symmetry. In the quantum anomalous Hall state recently discovered in magnetic topological insulators, time reversal symmetry is believed to be broken by long-range ferromagnetic order, with quantized resistance observed even at zero external magnetic field. We use scanning nanoSQUID (nano–superconducting quantum interference device) magnetic imaging to provide a direct visualization of the dynamics of the quantum phase transition between the two anomalous Hall plateaus in a Cr-doped (Bi,Sb)2Te3 thin film. Contrary to naive expectations based on macroscopic magnetometry, our measurements reveal a superparamagnetic state formed by weakly interacting magnetic domains with a characteristic size of a few tens of nanometers. The magnetic phase transition occurs through random reversals of these local moments, which drive the electronic Hall plateau transition. Surprisingly, we find that the electronic system can, in turn, drive the dynamics of the magnetic system, revealing a subtle interplay between the two coupled quantum phase transitions.

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46

BRODSKY, STANLEY J. "HADRON SPIN DYNAMICS." International Journal of Modern Physics A 18, no. 08 (March 30, 2003): 1531–50. http://dx.doi.org/10.1142/s0217751x03015027.

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Spin effects in exclusive and inclusive reactions provide an essential new dimension for testing QCD and unraveling hadron structure. Remarkable new experiments from SLAC, HERMES (DESY), and Jefferson Lab present many challenges to theory, including measurements at HERMES and SMC of the single spin asymmetries in ep → e′ π X where the proton is polarized normal to the scattering plane. This type of single spin asymmetry may be due to the effects of rescattering of the outgoing quark on the spectators of the target proton, an effect usually neglected in conventional QCD analyses. Many aspects of spin, such as single-spin asymmetries and baryon magnetic moments are sensitive to the dynamics of hadrons at the amplitude level, rather than probability distributions. I will illustrate the novel features of spin dynamics for relativistic systems by examining the explicit form of the light-front wavefunctions for the two-particle Fock state of the electron in QED, thus connecting the Schwinger anomalous magnetic moment to the spin and orbital momentum carried by its Fock state constituents and providing a transparent basis for understanding the structure of relativistic composite systems and their matrix elements in hadronic physics. I also present a survey of outstanding spin puzzles in QCD, particularly ANN in elastic pp scattering, the J/ψ → ρπ puzzle, and J/ψ polarization at the Tevatron.

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47

Lukin, V. P. "Dynamics of adaptive optical systems." Journal of the Optical Society of America A 27, no. 11 (September 24, 2010): A216. http://dx.doi.org/10.1364/josaa.27.00a216.

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48

Pyanzina, Elena. "Macroproperties of the Magnetic Systems with Anisotropic Microstructural Units." Solid State Phenomena 233-234 (July 2015): 306–9. http://dx.doi.org/10.4028/www.scientific.net/ssp.233-234.306.

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We present the theoretical study of the magnetic and thermodynamic properties for the systems with anisotropic magnetic units and results of computer simulations. We focus our attention on the theoretical description of the initial susceptibly and structure factor. An extensive comparison of our theoretical model to the results of molecular dynamics simulations for a wide range of system parameters demonstrated good quantitative and qualitative agreement. As a result, we can say that the macroscopic responses of the systems drastically change with the anisotropy of the microstructural units.

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49

Candelaresi, Simon, Fabio Del Sordo, and Axel Brandenburg. "Decay of trefoil and other magnetic knots." Proceedings of the International Astronomical Union 6, S274 (September 2010): 461–63. http://dx.doi.org/10.1017/s1743921311007496.

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AbstractTwo setups with interlocked magnetic flux tubes are used to study the evolution of magnetic energy and helicity on magnetohydrodynamical (MHD) systems like plasmas. In one setup the initial helicity is zero while in the other it is finite. To see if it is the actual linking or merely the helicity content that influences the dynamics of the system we also consider a setup with unlinked field lines as well as a field configuration in the shape of a trefoil knot. For helical systems the decay of magnetic energy is slowed down by the helicity which decays slowly. It turns out that it is the helicity content, rather than the actual linking, that is significant for the dynamics.

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Guslienko, K. Yu. "Magnetic Vortex State Stability, Reversal and Dynamics in Restricted Geometries." Journal of Nanoscience and Nanotechnology 8, no. 6 (June 1, 2008): 2745–60. http://dx.doi.org/10.1166/jnn.2008.18305.

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Abstract:

Magnetic vortices are typically the ground states in geometrically confined ferromagnets with small magnetocrystalline anisotropy. In this article I review static and dynamic properties of the magnetic vortex state in small particles with nanoscale thickness and sub-micron and micron lateral sizes (magnetic dots). Magnetic dots made of soft magnetic material shaped as flat circular and elliptic cylinders are considered. Such mesoscopic dots undergo magnetization reversal through successive nucleation, displacement and annihilation of magnetic vortices. The reversal process depends on the stability of different possible zero-field magnetization configurations with respect to the dot geometrical parameters and application of an external magnetic field. The interdot magnetostatic interaction plays an important role in magnetization reversal for dot arrays with a small dot-to-dot distance, leading to decreases in the vortex nucleation and annihilation fields. Magnetic vortices reveal rich, non-trivial dynamical properties due to existance of the vortex core bearing topological charges. The vortex ground state magnetization distribution leads to a considerable modification of the nature of spin excitations in comparison to those in the uniformly magnetized state. A magnetic vortex confined in a magnetically soft ferromagnet with micron-sized lateral dimensions possesses a characteristic dynamic excitation known as a translational mode that corresponds to spiral-like precession of the vortex core around its equilibrium position. The translation motions of coupled vortices are considered. There are, above the vortex translation mode eigenfrequencies, several dynamic magnetization eigenmodes localized outside the vortex core whose frequencies are determined principally by dynamic demagnetizing fields appearing due to restricted dot geometry. The vortex excitation modes are classified as translation modes and radially or azimuthally symmetric spin waves over the vortex ground state. Studying the spin eigenmodes in such systems provides valuable information to relate the particle dynamical response to geometrical parameters. Unresolved problems are identified to attract attention of researchers working in the area of nanomagnetism.

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