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Journal articles on the topic 'Brownian dynamics'

To see the other types of publications on this topic, follow the link: Brownian dynamics.

Author: Grafiati

Published: 4 June 2021

Last updated: 7 September 2023

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1

Sammüller, Florian, and Matthias Schmidt. "Adaptive Brownian Dynamics." Journal of Chemical Physics 155, no. 13 (October 7, 2021): 134107. http://dx.doi.org/10.1063/5.0062396.

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2

Ma, Lina, Xiantao Li, and Chun Liu. "From generalized Langevin equations to Brownian dynamics and embedded Brownian dynamics." Journal of Chemical Physics 145, no. 11 (September 21, 2016): 114102. http://dx.doi.org/10.1063/1.4962419.

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3

Bang, Jong-Geun, and Yoong-Sup Yoon. "Analysis of Filtration Performance by Brownian Dynamics." Transactions of the Korean Society of Mechanical Engineers B 33, no. 10 (October 1, 2009): 811–19. http://dx.doi.org/10.3795/ksme-b.2009.33.10.811.

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4

Erban, Radek. "From molecular dynamics to Brownian dynamics." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 470, no. 2167 (July 8, 2014): 20140036. http://dx.doi.org/10.1098/rspa.2014.0036.

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Three coarse-grained molecular dynamics (MD) models are investigated with the aim of developing and analysing multi-scale methods which use MD simulations in parts of the computational domain and (less detailed) Brownian dynamics (BD) simulations in the remainder of the domain. The first MD model is formulated in one spatial dimension. It is based on elastic collisions of heavy molecules (e.g. proteins) with light point particles (e.g. water molecules). Two three-dimensional MD models are then investigated. The obtained results are applied to a simplified model of protein binding to receptors on the cellular membrane. It is shown that modern BD simulators of intracellular processes can be used in the bulk and accurately coupled with a (more detailed) MD model of protein binding which is used close to the membrane.

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5

Geyer, T., C. Gorba, and V. Helms. "Interfacing Brownian dynamics simulations." Journal of Chemical Physics 120, no. 10 (March 8, 2004): 4573–80. http://dx.doi.org/10.1063/1.1647522.

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6

Donev, Aleksandar, Chiao-Yu Yang, and Changho Kim. "Efficient reactive Brownian dynamics." Journal of Chemical Physics 148, no. 3 (January 21, 2018): 034103. http://dx.doi.org/10.1063/1.5009464.

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7

Fradon, Myriam. "Brownian Dynamics of Globules." Electronic Journal of Probability 15 (2010): 142–61. http://dx.doi.org/10.1214/ejp.v15-739.

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8

Poelert, Sander L., Harrie Weinans, and Amir A. Zadpoor. "BROWNIAN DYNAMICS OF MICROTUBULES." Journal of Biomechanics 45 (July 2012): S440. http://dx.doi.org/10.1016/s0021-9290(12)70441-4.

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9

WHITE, TOBY O., GIOVANNI CICCOTT, and JEAN-PIERRE HANSEN. "Brownian dynamics with constraints." Molecular Physics 99, no. 24 (December 20, 2001): 2023–36. http://dx.doi.org/10.1080/00268970110090854.

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10

RICCI, ANDREA, and GIOVANNI CICCOTTI. "Algorithms for Brownian dynamics." Molecular Physics 101, no. 12 (June 20, 2003): 1927–31. http://dx.doi.org/10.1080/0026897031000108113.

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11

Vacchini, Bassano. "Brownian Motion: the Quantum Perspective." Zeitschrift für Naturforschung A 56, no. 1-2 (February 1, 2001): 230–34. http://dx.doi.org/10.1515/zna-2001-0143.

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AbstractWe briefly go through the problem of the quantum description of Brownian motion, concentrating on recent results about the connection between the dynamics of the particle and dynamic structure factor of the medium. - 05.40.Jc, 05.30.Fk, 05.30.Jp, 03.65.Yz

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12

Delong, Steven, Florencio Balboa Usabiaga, Rafael Delgado-Buscalioni, Boyce E. Griffith, and Aleksandar Donev. "Brownian dynamics without Green's functions." Journal of Chemical Physics 140, no. 13 (April 7, 2014): 134110. http://dx.doi.org/10.1063/1.4869866.

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13

Brańka, A. C., and D. M. Heyes. "Algorithms for Brownian dynamics simulation." Physical Review E 58, no. 2 (August 1, 1998): 2611–15. http://dx.doi.org/10.1103/physreve.58.2611.

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14

Randrup, Jørgen, and Peter Möller. "Brownian shape dynamics in fission." EPJ Web of Conferences 63 (2013): 02009. http://dx.doi.org/10.1051/epjconf/20136302009.

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15

Fixman, Marshall. "Brownian dynamics of chain polymers." Faraday Discussions of the Chemical Society 83 (1987): 199. http://dx.doi.org/10.1039/dc9878300199.

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16

Lobaskin, V., D. Lobaskin, and I. M. Kulić. "Brownian dynamics of a microswimmer." European Physical Journal Special Topics 157, no. 1 (April 2008): 149–56. http://dx.doi.org/10.1140/epjst/e2008-00637-7.

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17

Randrup, J., and P. Möller. "Brownian Shape Dynamics in Fission." Physics Procedia 47 (2013): 3–9. http://dx.doi.org/10.1016/j.phpro.2013.06.002.

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18

Knapp, E. W. "Dynamics of hierarchical Brownian oscillators." Physical Review B 38, no. 14 (November 15, 1988): 9474–82. http://dx.doi.org/10.1103/physrevb.38.9474.

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19

Biswas, Parbati, and Binny J. Cherayil. "Dynamics of Fractional Brownian Walks." Journal of Physical Chemistry 99, no. 2 (January 1995): 816–21. http://dx.doi.org/10.1021/j100002a052.

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20

Shin, Hyun Kyung, Changho Kim, Peter Talkner, and Eok Kyun Lee. "Brownian motion from molecular dynamics." Chemical Physics 375, no. 2-3 (October 2010): 316–26. http://dx.doi.org/10.1016/j.chemphys.2010.05.019.

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21

Ermakova, Elena. "Lysozyme dimerization: brownian dynamics simulation." Journal of Molecular Modeling 12, no. 1 (August 18, 2005): 34–41. http://dx.doi.org/10.1007/s00894-005-0001-2.

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22

Oettinger, Hans Christian. "Variance Reduced Brownian Dynamics Simulations." Macromolecules 27, no. 12 (June 1994): 3415–23. http://dx.doi.org/10.1021/ma00090a041.

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23

HEYES, D. M., and A. C. BRANKA. "Monte Carlo as Brownian dynamics." Molecular Physics 94, no. 3 (June 20, 1998): 447–54. http://dx.doi.org/10.1080/00268979809482337.

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24

D. M. HEYES A. C. BRANKA. "Monte Carlo as Brownian dynamics." Molecular Physics 94, no. 3 (June 1998): 447–54. http://dx.doi.org/10.1080/002689798167953.

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25

HEYES, D. M., and A. C. BRAŃKA. "More efficient Brownian dynamics algorithms." Molecular Physics 98, no. 23 (December 10, 2000): 1949–60. http://dx.doi.org/10.1080/00268970009483398.

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26

M. Heyes, A. C. Bra ` ka, D. "More efficient Brownian dynamics algorithms." Molecular Physics 98, no. 23 (December 10, 2000): 1949–60. http://dx.doi.org/10.1080/002689700750036962.

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27

Kneller, G. R., and K. Hinsen. "Fractional Brownian dynamics in proteins." Journal of Chemical Physics 121, no. 20 (November 22, 2004): 10278–83. http://dx.doi.org/10.1063/1.1806134.

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28

Löwen, Hartmut. "Brownian dynamics of hard spherocylinders." Physical Review E 50, no. 2 (August 1, 1994): 1232–42. http://dx.doi.org/10.1103/physreve.50.1232.

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29

Banchio, Adolfo J., and John F. Brady. "Accelerated Stokesian dynamics: Brownian motion." Journal of Chemical Physics 118, no. 22 (June 8, 2003): 10323–32. http://dx.doi.org/10.1063/1.1571819.

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30

Ennis, J., and Denis J. Evans. "Configurational Temperature for Brownian Dynamics." Molecular Simulation 26, no. 2 (February 2001): 147–55. http://dx.doi.org/10.1080/08927020108023013.

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31

Tsekov, Roumen, and Eli Ruckenstein. "Brownian dynamics in amorphous solids." Journal of Chemical Physics 101, no. 9 (November 1994): 7844–49. http://dx.doi.org/10.1063/1.468209.

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32

Toroczkai, Z., G. Korniss, B. Schmittmann, and R. K. P. Zia. "Brownian-vacancy–mediated disordering dynamics." Europhysics Letters (EPL) 40, no. 3 (November 1, 1997): 281–86. http://dx.doi.org/10.1209/epl/i1997-00461-5.

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33

Smith, E. R., I. K. Snook, and W. Van Megen. "Hydrodynamic interactions in Brownian dynamics." Physica A: Statistical Mechanics and its Applications 143, no. 3 (June 1987): 441–67. http://dx.doi.org/10.1016/0378-4371(87)90160-9.

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34

Beck, Christian. "Brownian motion from deterministic dynamics." Physica A: Statistical Mechanics and its Applications 169, no. 2 (November 1990): 324–36. http://dx.doi.org/10.1016/0378-4371(90)90173-p.

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35

Echenausía-Monroy, José Luis, Eric Campos, Rider Jaimes-Reátegui, Juan Hugo García-López, and Guillermo Huerta-Cuellar. "Deterministic Brownian-like Motion: Electronic Approach." Electronics 11, no. 18 (September 17, 2022): 2949. http://dx.doi.org/10.3390/electronics11182949.

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Brownian motion is a dynamic behavior with random changes over time (stochastic) that occurs in many vital functions related to fluid environments, stock behavior, or even renewable energy generation. In this paper, we present a circuit implementation that reproduces Brownian motion based on a fully deterministic set of differential equations. The dynamics of the electronic circuit are characterized using four well-known metrics of Brownian motion, namely: (i) Detrended Fluctuation Analysis (DFA), (ii) power law in the power spectrum, (iii) normal probability distribution, and (iv) Mean Square Displacement (MSD); where traditional Brownian motion exhibits linear time growth of the MSD, a Gaussian distribution, a −2 power law of the frequency spectrum, and DFA values close to 1.5. The obtained results show that for a certain combination of values in the deterministic model, the dynamics in the electronic circuit are consistent with the expectations for a stochastic Brownian behavior. The presented electronic circuit improves the study of Brownian behavior by eliminating the stochastic component, allowing reproducibility of the results through fully deterministic equations, and enabling the generation of physical signals (analog electronic signals) with Brownian-like properties with potential applications in fields such as medicine, economics, genetics, and communications, to name a few.

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36

Lillian, Todd D., David Bell, and Justin Polk. "Supercoil Dynamics along Stretched DNA by Brownian Dynamics." Biophysical Journal 106, no. 2 (January 2014): 277a. http://dx.doi.org/10.1016/j.bpj.2013.11.1624.

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37

Lemak, A. S., and N. K. Balabaev. "A Comparison Between Collisional Dynamics and Brownian Dynamics." Molecular Simulation 15, no. 4 (September 1995): 223–31. http://dx.doi.org/10.1080/08927029508022336.

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38

Braun, Marco, Alois Würger, and Frank Cichos. "Trapping of single nano-objects in dynamic temperature fields." Phys. Chem. Chem. Phys. 16, no. 29 (2014): 15207–13. http://dx.doi.org/10.1039/c4cp01560f.

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39

FRADON, MYRIAM, and SYLVIE RŒLLY. "INFINITELY MANY BROWNIAN GLOBULES WITH BROWNIAN RADII." Stochastics and Dynamics 10, no. 04 (December 2010): 591–612. http://dx.doi.org/10.1142/s021949371000311x.

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We consider an infinite system of non-overlapping globules undergoing Brownian motions in ℝ3. The term globules means that the objects we are dealing with are spherical, but with a radius which is random and time-dependent. The dynamics is modelized by an infinite-dimensional stochastic differential equation with local time. Existence and uniqueness of a strong solution is proven for such an equation with fixed deterministic initial condition. We also find a class of reversible measures.

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40

Phung, Thanh N., John F. Brady, and Georges Bossis. "Stokesian Dynamics simulation of Brownian suspensions." Journal of Fluid Mechanics 313 (April 25, 1996): 181–207. http://dx.doi.org/10.1017/s0022112096002170.

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The non-equilibrium behaviour of concentrated colloidal dispersions is studied by Stokesian Dynamics, a general molecular-dynamics-like technique for simulating particles suspended in a viscous fluid. The simulations are of a suspension of monodisperse Brownian hard spheres in simple shear flow as a function of the Péclet number, Pe, which measures the relative importance of shear and Brownian forces. Three clearly defined regions of behaviour are revealed. There is first a Brownian-motion-dominated regime (Pe ≤ 1) where departures from equilibrium in structure and diffusion are small, but the suspension viscosity shear thins dramatically. When the Brownian and hydrodynamic forces balance (Pe ≈ 10), the dispersion forms a new ‘phase’ with the particles aligned in ‘strings’ along the flow direction and the strings are arranged hexagonally. This flow-induced ordering persists over a range of Pe and, while the structure and diffusivity now vary considerably, the rheology remains unchanged. Finally, there is a hydrodynamically dominated regime (Pe > 200) with a dramatic change in the long-time self-diffusivity and the rheology. Here, as the Péclet number increases the suspension shear thickens owing to the formation of large clusters. The simulation results are shown to agree well with experiment.

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41

Arkar, Kyaw, Mikhail M. Vasiliev, Oleg F. Petrov, Evgenii A. Kononov, and Fedor M. Trukhachev. "Dynamics of Active Brownian Particles in Plasma." Molecules 26, no. 3 (January 21, 2021): 561. http://dx.doi.org/10.3390/molecules26030561.

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Experimental data on the active Brownian motion of single particles in the RF (radio-frequency) discharge plasma under the influence of thermophoretic force, induced by laser radiation, depending on the material and type of surface of the particle, are presented. Unlike passive Brownian particles, active Brownian particles, also known as micro-swimmers, move directionally. It was shown that different dust particles in gas discharge plasma can convert the energy of a surrounding medium (laser radiation) into the kinetic energy of motion. The movement of the active particle is a superposition of chaotic motion and self-propulsion.

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42

Bley, Michael, Pablo I. Hurtado, Joachim Dzubiella, and Arturo Moncho-Jordá. "Active interaction switching controls the dynamic heterogeneity of soft colloidal dispersions." Soft Matter 18, no. 2 (2022): 397–411. http://dx.doi.org/10.1039/d1sm01507a.

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We employ Reactive Dynamical Density Functional Theory, Reactive Brownian Dynamics simulations and a Continuous Time Random Walk model to study the heterogeneous dynamics of active soft colloids that switch between two states with different mobility.

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43

He, Siqian, and Harold A. Scheraga. "Brownian dynamics simulations of protein folding." Journal of Chemical Physics 108, no. 1 (January 1998): 287–300. http://dx.doi.org/10.1063/1.475379.

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44

Bauer, Wolfgang R., and Walter Nadler. "Dynamics and efficiency of Brownian rotors." Journal of Chemical Physics 129, no. 22 (December 14, 2008): 225103. http://dx.doi.org/10.1063/1.3026736.

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45

Urbina-Villalba, German, and Máximo García-Sucre. "Brownian Dynamics Simulation of Emulsion Stability." Langmuir 16, no. 21 (October 2000): 7975–85. http://dx.doi.org/10.1021/la000405x.

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46

Cates, M. E. "Brownian dynamics of self-similar macromolecules." Journal de Physique 46, no. 7 (1985): 1059–77. http://dx.doi.org/10.1051/jphys:019850046070105900.

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47

Åkesson, Torbjörn, and Bo Jönsson. "Brownian dynamics simulation of interacting particles." Molecular Physics 54, no. 2 (February 10, 1985): 369–81. http://dx.doi.org/10.1080/00268978500100291.

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48

Wajnryb, E., P. Szymczak, and B. Cichocki. "Brownian dynamics: divergence of mobility tensor." Physica A: Statistical Mechanics and its Applications 335, no. 3-4 (April 2004): 339–58. http://dx.doi.org/10.1016/j.physa.2003.12.012.

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49

Nyland, Gunnar H., Paal Skjetne, Arne Mikkelsen, and Arnljot Elgsaeter. "Brownian dynamics simulation of needle chains." Journal of Chemical Physics 105, no. 3 (July 15, 1996): 1198–207. http://dx.doi.org/10.1063/1.471941.

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50

Sottas, Pierre-Edouard, Eric Larquet, Andrzej Stasiak, and Jacques Dubochet. "Brownian Dynamics Simulation of DNA Condensation." Biophysical Journal 77, no. 4 (October 1999): 1858–70. http://dx.doi.org/10.1016/s0006-3495(99)77029-3.

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