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Journal articles on the topic 'Dynamic field'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 May 2022

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1

Goldar, Dulal. "OS01W0028 Full-Field Dynamic Photoelastic Studies of Transversely Impacted Beams." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2003.2 (2003): _OS01W0028. http://dx.doi.org/10.1299/jsmeatem.2003.2._os01w0028.

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2

Kalegaev, V. V. "Dynamic geomagnetic field models." Geomagnetism and Aeronomy 51, no. 7 (December 2011): 855–65. http://dx.doi.org/10.1134/s0016793211070073.

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3

Zhang, Qingquan, Yao Yao, Ting Zhu, Ziqiao Zhou, Wei Xu, Ping Yi, and Sheng Xiao. "Dynamic Enhanced Field Division." ACM Transactions on Sensor Networks 15, no. 1 (February 21, 2019): 1–26. http://dx.doi.org/10.1145/3216721.

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4

Postma, Maarten Jacobus. "The dynamic field of pharmacoeconomics." Expert Review of Clinical Pharmacology 2, no. 2 (March 2009): 125–27. http://dx.doi.org/10.1586/17512433.2.2.125.

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5

Shinada, Hiroyuki. "Dynamic Micro-Magnetic Field Measurement." IEEJ Transactions on Fundamentals and Materials 112, no. 2 (1992): 87–90. http://dx.doi.org/10.1541/ieejfms1990.112.2_87.

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6

J. Chaplin and C. Wu. "Dynamic Modeling of Field Sprayers." Transactions of the ASAE 32, no. 6 (1990): 1857. http://dx.doi.org/10.13031/2013.31235.

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7

Gray, Jonathan, and Amanda D. Lotz. "A robust and dynamic field." Media, Culture & Society 35, no. 8 (November 2013): 1019–22. http://dx.doi.org/10.1177/0163443713508703.

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8

Westphal, V., M. A. Lauterbach, A. Di Nicola, and S. W. Hell. "Dynamic far-field fluorescence nanoscopy." New Journal of Physics 9, no. 12 (December 5, 2007): 435. http://dx.doi.org/10.1088/1367-2630/9/12/435.

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9

Lipiński, S., and A. Szajek. "Dynamic Crystal Field in CePb3." Acta Physica Polonica A 97, no. 1 (January 2000): 245–48. http://dx.doi.org/10.12693/aphyspola.97.245.

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10

Tsui, Ivy F. L., Cathie Garnis, and Catherine F. Poh. "A Dynamic Oral Cancer Field." American Journal of Surgical Pathology 33, no. 11 (November 2009): 1732–38. http://dx.doi.org/10.1097/pas.0b013e3181b669c2.

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11

Bayles, Alexandra V., Todd M. Squires, and Matthew E. Helgeson. "Dark-field differential dynamic microscopy." Soft Matter 12, no. 8 (2016): 2440–52. http://dx.doi.org/10.1039/c5sm02576a.

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12

Surridge, Christopher D. "Advancing in a dynamic field." Nature Structural & Molecular Biology 1, no. 10 (October 1994): 664–66. http://dx.doi.org/10.1038/nsb1094-664.

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13

Corzilius, Björn. "High-Field Dynamic Nuclear Polarization." Annual Review of Physical Chemistry 71, no. 1 (April 20, 2020): 143–70. http://dx.doi.org/10.1146/annurev-physchem-071119-040222.

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Dynamic nuclear polarization (DNP) is one of the most prominent methods of sensitivity enhancement in nuclear magnetic resonance (NMR). Even though solid-state DNP under magic-angle spinning (MAS) has left the proof-of-concept phase and has become an important tool for structural investigations of biomolecules as well as materials, it is still far from mainstream applicability because of the potentially overwhelming combination of unique instrumentation, complex sample preparation, and a multitude of different mechanisms and methods available. In this review, I introduce the diverse field and history of DNP, combining aspects of NMR and electron paramagnetic resonance. I then explain the general concepts and detailed mechanisms relevant at high magnetic field, including solution-state methods based on Overhauser DNP but with a greater focus on the more established MAS DNP methods. Finally, I review practical considerations and fields of application and discuss future developments.

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14

Magatti, D., M. D. Alaimo, M. A. C. Potenza, and F. Ferri. "Dynamic heterodyne near field scattering." Applied Physics Letters 92, no. 24 (June 16, 2008): 241101. http://dx.doi.org/10.1063/1.2937841.

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15

Aurbach, Doron. "Advanced Batteries: A Dynamic Field." Journal of The Electrochemical Society 162, no. 14 (2015): A2379. http://dx.doi.org/10.1149/2.0221514jes.

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16

Watanabe, Takanobu. "Dynamic bond-order force field." Journal of Computational Electronics 10, no. 1-2 (January 19, 2011): 2–20. http://dx.doi.org/10.1007/s10825-011-0344-0.

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17

Wang, Jin. "Dynamic magnetic field entanglement stabilization." Journal of the Optical Society of America B 38, no. 9 (August 3, 2021): 2451. http://dx.doi.org/10.1364/josab.419601.

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18

Lu, Bao Yan, and Yan Zhou Li. "Computational Fluid Dynamic of Date Transfer." Applied Mechanics and Materials 477-478 (December 2013): 236–39. http://dx.doi.org/10.4028/www.scientific.net/amm.477-478.236.

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A high-speed craft in the supersonic speed, ambient temperature and pressure would affect its structure, heat flow fluid-solid coupling simulation can quantify the effect. Due to physical fields had different heat flow fluid-solid coupling simulation, the data transmission was needed when the fluid dynamics to calculate the quantities of the import structure field. This paper given the derivation process and method of the physical fields data transfer, fluid dynamics to calculate the data in the simulation of structure field was implemented and to quantify the temperature field and stress field impacted on structure field.

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19

Liu, Siqi, and Junqiang Bai. "Exploration of high-altitude dynamic soaring based on six-degree-of-freedom model." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 39, no. 4 (August 2021): 703–11. http://dx.doi.org/10.1051/jnwpu/20213940703.

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Dynamic soaring is an emerging flight range-extension technology that effectively reduces UAV's energy consumption by deriving wind energy from lateral gradient wind fields. Comparing with the small UAV's near the surface, the application of dynamic soaring technology in the high-altitude long-endurance flight requires the additional consideration of the influence of sustained side wind, the influence of the sideslip angle cannot be ignored. This puts higher requirements on the flight dynamics model. In this paper, the dynamic model for the high-altitude dynamic soaring based on the six-degree-of-freedom equation is modeled to replace the traditional mass point model; the energy change principle of the high-altitude dynamic gliding is derived; the effect of the high-altitude wind field on the dynamic soaring UAV is analyzed; and the way to get optimal wind field energy acquisition and energy saving efficiency are analyzed. The results show that the dynamics model based on the six-degree-of-freedom equation can more realistically reflect at high altitude; the application of dynamic soaring can effectively improve the range of the high-altitude UAV; the wind direction at high-altitude wind field has a significant effect on the dynamic soaring efficiency.

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20

SCHMID, PETER J. "Dynamic mode decomposition of numerical and experimental data." Journal of Fluid Mechanics 656 (July 1, 2010): 5–28. http://dx.doi.org/10.1017/s0022112010001217.

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The description of coherent features of fluid flow is essential to our understanding of fluid-dynamical and transport processes. A method is introduced that is able to extract dynamic information from flow fields that are either generated by a (direct) numerical simulation or visualized/measured in a physical experiment. The extracted dynamic modes, which can be interpreted as a generalization of global stability modes, can be used to describe the underlying physical mechanisms captured in the data sequence or to project large-scale problems onto a dynamical system of significantly fewer degrees of freedom. The concentration on subdomains of the flow field where relevant dynamics is expected allows the dissection of a complex flow into regions of localized instability phenomena and further illustrates the flexibility of the method, as does the description of the dynamics within a spatial framework. Demonstrations of the method are presented consisting of a plane channel flow, flow over a two-dimensional cavity, wake flow behind a flexible membrane and a jet passing between two cylinders.

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21

Mo, Hanning, Shangping Li, Guiqing He, Bang Zeng, and Chen Qiu. "Dynamic Characteristics of a Simulated Sugarcane Field Exciter for Small Sugarcane Harvesters." Discrete Dynamics in Nature and Society 2022 (February 12, 2022): 1–22. http://dx.doi.org/10.1155/2022/3209449.

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The sugarcane harvester vibration has a bad effect on the sugarcane cutting quality. The effect of sugarcane field roughness on the sugarcane harvester vibration is much more significant than those of cutting forces and the engine. In order to simulate sugarcane field roughness, a simulated sugarcane field exciter (SSFE) was developed to actuate a self-developed sugarcane harvester experiment platform (SHEP). The dynamics and the mathematical models of the SHEP were established. Simulations of the mathematical model show these two models are reasonable. The dynamic characteristic experiment of the SSFE shows it matches characteristics of sugarcane field roughness, but great lateral oscillations existed when it worked. Then the SSFE II was developed. The dynamic characteristic experiment of the SSFE II shows it matches characteristics of sugarcane field roughness and improves the SSFE. The modal test of the SHEP was done to further study dynamic characteristics of the SSFE II. With the SSFE II, simulated experiments of sugarcane harvesters under complete vibration causing conditions can be done in labs instead of sugarcane fields to avoid the low efficiency, poor security, and bad reliability during experiments in sugarcane fields.

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22

Zhang, Yichi, Yu Gu, and Yousheng Zou. "Electro-rotation of spheroids in fluids under linear-polarized AC electric field: A dynamic model." Journal of Applied Physics 131, no. 19 (May 21, 2022): 194701. http://dx.doi.org/10.1063/5.0089113.

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Under a linear-polarized AC electric field, a spheroid suspended in fluids typically aligns one of its axes with the field. The time-averaged torque model is widely used to predict the orientation of the spheroid with respect to the field. Different from the AC case, the dynamical behaviors including stable orientation, stable spinning, and the limit cycle of spheroids under the DC electric field are much richer. An inconsistency exists between the two cases, and a criterion for the validity of the time-average torque model is also missing. In this article, the dynamic model for the DC electric field was adapted to its AC counterpart and the full dynamics of spheroids under the AC field were studied. We bridged the DC and AC dynamics of spheroidal particles and widened the frequency range for applying the time-averaged torque model. It was found that the phase diagram at the DC limit is a very instructive guiding map for predicting the dynamical behavior at the AC field and ωτη ∼ 1 ( ω: angular frequency of the electric field, τη: characteristic time of particle rotation) appears to be a universal criterion for the time-averaged model to be effective. The flipping of particle orientation was explained with bifurcations of the periodic solutions and the irregular dynamics at low frequencies were uncovered with the Poincaré map and the power spectrum analysis. Our study sheds light on even richer dynamical behaviors of the particles under the AC electric field and may help realize other unconventional dynamical behaviors of particles in the future.

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23

Fang, Angbo. "Dynamical effective field model for interacting ferrofluids: II. The proper relaxation time and effects of dynamic correlations." Journal of Physics: Condensed Matter 34, no. 11 (December 31, 2021): 115103. http://dx.doi.org/10.1088/1361-648x/ac4346.

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Abstract The recently proposed dynamical effective field model (DEFM) is quantitatively accurate for ferrofluid dynamics. It is derived in paper I within the framework of dynamical density functional theory (DDFT) along with a phenomenological description of nonadiabatic effects. However, it remains to clarify how the characteristic rotational relaxation time of a dressed particle, denoted by τ r , is quantitatively related to that of a bare particle, denoted by τ r 0 . By building macro-micro connections via two different routes, I reveal that under some gentle assumptions τ r can be identified with the mean time characterizing long-time rotational self-diffusion. I further introduce two simple but useful integrated correlation factors, describing the effects of quasi-static (adiabatic) and dynamic (nonadiabatic) inter-particle correlations, respectively. In terms of both the dynamic magnetic susceptibility is expressed in an illuminating and elegant form. Remarkably, it shows that the macro-micro connection is established via two successive steps: a dynamical coarse-graining with nonadiabatic effects accounted for by the dynamic factor, followed by equilibrium ensemble averaging captured by the static factor. By analyzing data from Brownian dynamics simulations on monodisperse interacting ferrofluids, I find τ r / τ r 0 is, somehow unexpectedly, insensitive to changes of particle volume fraction. A physical picture is proposed to explain it. Furthermore, an empirical formula is proposed to characterize the dependence of τ r / τ r 0 on dipole-dipole interaction strength. The DEFM supplemented with this formula leads to parameter-free predictions in good agreement with results from Brownian dynamics simulations. The theoretical developments presented in this paper may have important consequences to studies of ferrofluid dynamics in particular and other systems modeled by DDFTs in general.

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24

ROMANOVA, J. Y., and Y. A. ROMANOV. "DYNAMIC LOCALIZATION AND ELECTROMAGNETIC TRANSPARENCY OF SEMICONDUCTOR SUPERLATTICE IN MULTIFREQUENCY ELECTRIC FIELDS." International Journal of Nanoscience 06, no. 05 (October 2007): 395–98. http://dx.doi.org/10.1142/s0219581x0700450x.

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We consider the dynamics of electrons in semiconductor superlattices in intense multifrequency electric fields. We examine the conditions for dynamic localization and electromagnetic transparency. We investigate processes of formation, destruction, and stabilization of electromagnetic transparency in biharmonic field. The stable states with static fields are determined.

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25

Lybbert, Travis J., Francisco B. Galarza, John McPeak, Christopher B. Barrett, Stephen R. Boucher, Michael R. Carter, Sommarat Chantarat, Aziz Fadlaoui, and Andrew Mude. "Dynamic Field Experiments in Development Economics: Risk Valuation in Morocco, Kenya, and Peru." Agricultural and Resource Economics Review 39, no. 2 (April 2010): 176–92. http://dx.doi.org/10.1017/s1068280500007231.

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The effective design and implementation of interventions that reduce vulnerability and poverty require a solid understanding of underlying poverty dynamics and associated behavioral responses. Stochastic and dynamic benefit streams can make it difficult for the poor to learn the value of such interventions to them. We explore how dynamic field experiments can help (i) intended beneficiaries to learn and understand these complicated benefit streams, and (ii) researchers to better understand how the poor respond to risk when faced with nonlinear welfare dynamics. We discuss and analyze dynamic risk valuation experiments in Morocco, Peru, and Kenya.

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26

Neugebauer, Petr, Jan G. Krummenacker, Vasyl P. Denysenkov, Christina Helmling, Claudio Luchinat, Giacomo Parigi, and Thomas F. Prisner. "High-field liquid state NMR hyperpolarization: a combined DNP/NMRD approach." Phys. Chem. Chem. Phys. 16, no. 35 (2014): 18781–87. http://dx.doi.org/10.1039/c4cp02451f.

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Dynamic nuclear polarization and NMR relaxation dispersion measurements have been performed on liquid solutions of TEMPOL radicals in solvents with different viscosities at a high magnetic field of 9.2 T. The results indicate that fast dynamics significantly contribute to DNP enhancements at high fields.

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27

Betiuk, Marek. "Cylindrical Magnetron with Dynamic Magnetic Field." Solid State Phenomena 237 (August 2015): 61–67. http://dx.doi.org/10.4028/www.scientific.net/ssp.237.61.

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The formation of anti-wear coatings on the inner surface of steel cylinders and pipes presents a difficult process-related problem for PA PVD methods. This problem is associated with a strictly limited geometry of the reaction space and dimensions of plasma sputtering-sources. Among the main factors behind physical and chemical phenomena occurring the reaction space, formed within a low-temperature plasma and at its boundaries with a solid object, there are type, concentration, unobstructed path for reacting substances, as well as values and geometry of electrical/magnetic/thermal fields [1-5]. In the research on the plasma-based technology in confined space, the lowest possible distance between the surface being modified and the source of ions of metallic and gaseous elements is taken into account.

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28

Samatov, B. T., and A. I. Sotvoldiyev. "Intercept problem in dynamic flow field." Uzbek Mathematical Journal 2019, no. 2 (June 17, 2019): 103–12. http://dx.doi.org/10.29229/uzmj.2019-2-12.

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29

Sagy, Amir, Ze'ev Reches, and Itzhak Roman. "Dynamic fracturing: field and experimental observations." Journal of Structural Geology 23, no. 8 (August 2001): 1223–39. http://dx.doi.org/10.1016/s0191-8141(00)00190-5.

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30

Gedafa, Daba S., Mustaque Hossain, Stefan Romanoschi, and Andrew J. Gisi. "Field Verification of Superpave Dynamic Modulus." Journal of Materials in Civil Engineering 22, no. 5 (May 2010): 485–94. http://dx.doi.org/10.1061/(asce)mt.1943-5533.0000048.

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31

Franson, J. D. "Dynamic phase of the electromagnetic field." Physical Review A 51, no. 3 (March 1, 1995): 2371–80. http://dx.doi.org/10.1103/physreva.51.2371.

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32

Wilkinson, D. P., M. Blanco, H. Zhao, J. Wu, and H. Wang. "Dynamic Flow Field for Fuel Cells." Electrochemical and Solid-State Letters 10, no. 9 (2007): B155. http://dx.doi.org/10.1149/1.2755359.

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33

Talley, Daniel J., Thomas L. Davis, Robert D. Benson, and Steven L. Roche. "Dynamic reservoir characterization of Vacuum Field." Leading Edge 17, no. 10 (October 1998): 1396–402. http://dx.doi.org/10.1190/1.1437858.

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34

Christen, T., and M. Büttiker. "Magnetic-field symmetry of dynamic capacitances." Physical Review B 55, no. 4 (January 15, 1997): R1946—R1949. http://dx.doi.org/10.1103/physrevb.55.r1946.

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35

Bauso, Dario. "Dynamic Demand and Mean-Field Games." IEEE Transactions on Automatic Control 62, no. 12 (December 2017): 6310–23. http://dx.doi.org/10.1109/tac.2017.2705911.

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36

Erlhagen, Wolfram, and Gregor Schöner. "Dynamic field theory of movement preparation." Psychological Review 109, no. 3 (2002): 545–72. http://dx.doi.org/10.1037/0033-295x.109.3.545.

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37

Rougier, Nicolas P. "Dynamic neural field with local inhibition." Biological Cybernetics 94, no. 3 (December 10, 2005): 169–79. http://dx.doi.org/10.1007/s00422-005-0034-8.

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38

Ginsberg, Jason, and Neil Movva. "Dynamic Field of View in a Tomographic Light Field Display." SMPTE Motion Imaging Journal 128, no. 1 (January 2019): 55–60. http://dx.doi.org/10.5594/jmi.2018.2876072.

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39

Lurie, David J., Ian Nicholson, and John R. Mallard. "Low-field EPR measurements by field-cycled dynamic nuclear polarization." Journal of Magnetic Resonance (1969) 95, no. 2 (November 1991): 405–9. http://dx.doi.org/10.1016/0022-2364(91)90230-q.

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40

Ertaş, Mehmet. "The dynamic magnetic behaviors of the Blume–Capel Ising bilayer system." Modern Physics Letters B 29, no. 35n36 (December 30, 2015): 1550236. http://dx.doi.org/10.1142/s021798491550236x.

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The dynamic magnetic behaviors of the spin-1 Blume–Capel Ising bilayer system (BCIS) are studied in an oscillating external magnetic field on a two-layer square lattice by utilizing the mean field theory (MFT) based on Glauber-type stochastic dynamics [dynamic mean field theory (DMFT)]. The dynamic equations describing the time-dependencies of the average magnetizations are obtained with the Master equation. The dynamic phases in this system are found by solving these dynamic equations. The temperature dependence of the dynamic order parameters is examined to characterize the nature (continuous or discontinuous) of the phase transitions and to obtain the dynamic phase transition (DPT) points. The dynamic phase diagrams (DPDs) are shown for ferromagnetic/ferromagnetic, antiferromagnetic/ferromagnetic, antiferromagnetic/antiferromagnetic interactions in the plane of the reduced temperature versus magnetic field amplitude and they display dynamic tricritical and re-entrant behavior as well as the dynamic triple point (tp).

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41

TAKAKI, Tomohiro, and Yoshihiro TOMITA. "610 Phase-Field Modeling during Dynamic Recrystallization." Proceedings of Conference of Kansai Branch 2007.82 (2007): _6–10_. http://dx.doi.org/10.1299/jsmekansai.2007.82._6-10_.

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42

Peresada, S., S. Bozhko, S. Kovbasa, and Ye Nikonenko. "ROBUST DIRECT FIELD ORIENTED CONTROL OF INDUCTION GENERATOR." Tekhnichna Elektrodynamika 2021, no. 4 (June 17, 2021): 14–24. http://dx.doi.org/10.15407/techned2021.04.014.

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A novel and robust field oriented vector control method for standalone induction generators (IG) is presented. The proposed controller exploits the concept of direct field orientation and provides asymptotic rotor flux modulus and DC-link voltage regulations when a DC-load is constant or slowly varying. Flux subsystem, designed using Lyapunov’s second method, has, in contrast to standard structures, closed loop properties and therefore is robust with respect to rotor resistance variations. A decomposition approach on the base of the two-time scale separation of the voltage and torque current dynamics is used for design of the voltage subsystem. The feedback linearizing voltage controller is designed using a steady state IG power balance equation. The resulting quasi-linear dynamics of the voltage control loop allows use of simple controllers tuning procedure and provides an improved dynamic performance for variable speed and flux operation. Results of a comparative experimental study with standard indirect field oriented control are presented. In contrast to existing solutions, the designed controller provides system performances stabilization when speed and flux are varying. It is experimentally shown that a robust field oriented controller ensures robust flux regulation and robust stabilization of the torque current dynamics leading to improved energy efficiency of the electromechanical conversion process. The proposed controller is suitable for energy generation systems with variable speed operation. References 18, figures 8.

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43

Le, Duc-Anh. "Mott transition in the dynamic Hubbard model within slave boson mean-field approach." Modern Physics Letters B 28, no. 10 (April 20, 2014): 1450078. http://dx.doi.org/10.1142/s021798491450078x.

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At zero temperature, the Kotliar–Ruckenstein slave boson mean-field approach is applied to the dynamic Hubbard model. In this paper, the influences of the dynamics of the auxiliary boson field on the Mott transition are investigated. At finite boson frequency, the Mott-type features of the Hubbard model is found to be enhanced by increasing the pseudospin coupling parameter g. For sufficiently large pseudospin coupling g, the Mott transition occurs even for modest values of the bare Hubbard interaction U. The lack of electron–hole symmetry is highlighted through the quasiparticle weight. Our results are in good agreement with the ones obtained by two-site dynamical mean-field theory and determinant quantum Monte Carlo simulation.

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44

BURDOV, VLADIMIR A., and DMITRY SOLENOV. "DISSIPATIVE REGIME OF DYNAMIC LOCALIZATION IN DOUBLE QUANTUM DOT." International Journal of Nanoscience 06, no. 05 (October 2007): 389–93. http://dx.doi.org/10.1142/s0219581x07004596.

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Dissipative electron dynamics in a double quantum dot, influenced by external ac and dc electric fields, has been analyzed. It was shown that the dissipation caused by phonon environment disappears under certain relations between electric field parameters. In this case one may perform the dynamic localization and form stable electron states localized within one of the dots.

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45

Liu, Cai Ping, Qing Quan Duan, and Jian Ping Zuo. "Theoretical Research on the Dynamic Crack Propagation Velocity Based on Nonlocal Field Theories." Key Engineering Materials 417-418 (October 2009): 953–56. http://dx.doi.org/10.4028/www.scientific.net/kem.417-418.953.

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The purpose of this paper is to discuss the nonlocal effect on dynamic crack propagation velocity. Some experimental phenomena in dynamic fracture and simulative results using molecular & atom dynamics were analyzed and discussed in this paper. The authors found that there were still some disagreements on the dynamic crack propagation velocity. Based on these researches, we introduced nonlocal field theories into the estimation of dynamic crack propagation velocity. The dynamic crack propagation velocity is affected not only by the crack instability, but by characteristic length of material. A nonlocal characteristic length parameter M is defined through a double pile-up dislocation model. According to the Mott’s research method for crack velocity in dynamic fracture and the nonlocal field theories, an approximate theoretical dynamic propagation velocity is obtained. And we conclude that the velocity is related to the combined activity of the nonlocal characteristic length parameter M, the velocity of longitudinal wave, constant k, crack length and Poisson’s ratio.

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46

Qu, Na, Dao Lai Qu, and Zhi Rong Liao. "Study on Dynamic Field of Project Organization." Advanced Materials Research 639-640 (January 2013): 1237–40. http://dx.doi.org/10.4028/www.scientific.net/amr.639-640.1237.

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First of all, the paper introduces the concept of "field" in physics, constructs conceptual model and structural model of "dynamic field "to illustrate the role of evolution dynamic played to the participants in a project organization. On this basis, it constructs the field force function model of dynamic field, analyzing the field force after the dynamic factors coupled, and finally puts forward the working methods of the "dynamic field" of an organization and the conditions that the "dynamic field" of an organization can work better .

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47

Wennekers, Thomas. "Dynamic Approximation of Spatiotemporal Receptive Fields in Nonlinear Neural Field Models." Neural Computation 14, no. 8 (August 1, 2002): 1801–25. http://dx.doi.org/10.1162/089976602760128027.

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This article presents an approximation method to reduce the spatiotemporal behavior of localized activation peaks (also called “bumps”) in nonlinear neural field equations to a set of coupled ordinary differential equations (ODEs) for only the amplitudes and tuning widths of these peaks. This enables a simplified analysis of steady-state receptive fields and their stability, as well as spatiotemporal point spread functions and dynamic tuning properties. A lowest-order approximation for peak amplitudes alone shows that much of the well-studied behavior of small neural systems (e.g., the Wilson-Cowan oscillator) should carry over to localized solutions in neural fields. Full spatiotemporal response profiles can further be reconstructed from this low-dimensional approximation. The method is applied to two standard neural field models: a one-layer model with difference-of-gaussians connectivity kernel and a two-layer excitatory-inhibitory network. Similar models have been previously employed in numerical studies addressing orientation tuning of cortical simple cells. Explicit formulas for tuning properties, instabilities, and oscillation frequencies are given, and exemplary spatiotemporal response functions, reconstructed from the low-dimensional approximation, are compared with full network simulations.

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48

Butenko, Andrey, Olha Kazinova, Sergey Kostromin, Vladimir Mikhaylov, Alexey Tuzikov, and Hamlet Khodzhibagiyan. "Magnetic field errors tolerances of Nuclotron booster." EPJ Web of Conferences 177 (2018): 08001. http://dx.doi.org/10.1051/epjconf/201817708001.

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Generation of magnetic field in units of booster synchrotron for the NICA project is one of the most important conditions for getting the required parameters and qualitative accelerator operation. Research of linear and nonlinear dynamics of ion beam 197Au31+ in the booster have carried out with MADX program. Analytical estimation of magnetic field errors tolerance and numerical computation of dynamic aperture of booster DFO-magnetic lattice are presented. Closed orbit distortion with random errors of magnetic fields and errors in layout of booster units was evaluated.

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Pratt, John R. "Home Health Care: A Dynamic, Complex Field Requiring Dynamic, Competent Managers." Journal of Home Health Care Practice 8, no. 2 (February 1996): 6–14. http://dx.doi.org/10.1177/108482239600800206.

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50

Chen, Guoda, and Yijie Chen. "Multi-Field Coupling Dynamics Modeling of Aerostatic Spindle." Micromachines 12, no. 3 (March 1, 2021): 251. http://dx.doi.org/10.3390/mi12030251.

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Abstract:

The aerostatic spindle in the ultra-precision machine tool shows the complex multi-field coupling dynamics behavior under working condition. The numerical investigation helps to better understand the dynamic characteristics of the aerostatic spindle and improve its structure and performance with low cost. A multi-field coupling 5-DOF dynamics model for the aerostatic spindle is proposed in this paper, which considers the interaction between the air film, spindle shaft and the motor. The restoring force method is employed to deal with the times varying air film force, the transient Reynolds equation of the aerostatic journal bearing and the aerostatic thrust bearing is solved using ADI method and Thomas method. The transient air film pressure of aerostatic bearings is obtained which clearly presents the influence induced by the tilt motion of the spindle shaft. The motion trajectory of the spindle shaft is obtained which shows different stability of the shaft under different external forces. The dynamics model shows good performance on simulating the multi-field coupling behavior of the aerostatic spindle under external force. which is quite meaningful and useful for the further research on the dynamic characteristics of the aerostatic spindle.

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