Next Article in Journal
Feature Assessment of Toe Area Activity during Walking of Elderly People with Stumbling Experiences through Wearable Clog-Integrated Plantar Visualization System
Next Article in Special Issue
Thermoelectricity Modeling with Cold Dipole Atoms in Aubry Phase of Optical Lattice
Previous Article in Journal
Experiment on Interaction of Abutment, Steel H-Pile and Soil in Integral Abutment Jointless Bridges (IAJBs) under Low-Cycle Pseudo-Static Displacement Loads
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Multiple Current Reversals Using Superimposed Driven Lattices

by
Aritra K. Mukhopadhyay
1 and
Peter Schmelcher
1,2,*
1
Zentrum für Optische Quantentechnologien, Fachbereich Physik, Universität Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany
2
The Hamburg Centre for Ultrafast Imaging, Universität Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(4), 1357; https://doi.org/10.3390/app10041357
Submission received: 17 January 2020 / Revised: 11 February 2020 / Accepted: 12 February 2020 / Published: 17 February 2020
(This article belongs to the Special Issue Optical Trapping of Ions and Atoms 2020: Novel Advances and Prospects)

Abstract

:
We demonstrate that directed transport of particles in a two dimensional driven lattice can be dynamically reversed multiple times by superimposing additional spatially localized lattices on top of a background lattice. The timescales of such current reversals can be flexibly controlled by adjusting the spatial locations of the superimposed lattices. The key principle behind the current reversals is the conversion of the particle dynamics from chaotic to ballistic, which allow the particles to explore regions of the underlying phase space which are inaccessible otherwise. Our results can be experimentally realized using cold atoms in driven optical lattices and allow for the control of transport of atomic ensembles in such setups.

1. Introduction

Originally conceived as a proof of principle behind the working of biological motors [1,2,3,4], the phenomenon of ‘ratchet’ transport of particles, i.e., the emergence of unidirectional particle transport in an unbiased non-equilibrium environment, has gained widespread applications across various disciplines [2,5,6,7,8,9,10,11,12,13,14]. The necessary ingredients required for such a rectification of random particle motion into directed transport has been shown to be non-equilibrium, non-linearity and the breaking of certain spatio-temporal symmetries [7,15,16]. Since then the ratchet effect has found numerous applications including particle separation based on physical properties [17,18,19], design of efficient velocity filters [20,21], transportation of fluxons in Josephson junctions arrays [22,23], unidirectional motion of active matter [13,24], voltage rectification in superconducting quantum interference devices (SQUID) [25,26,27], and enhancement of photocurrents in quantum wells [28].
Due to novel experimental progress in atom trapping techniques, directed transport of atomic ensembles has been realized in ac-driven optical lattices [29,30] both in the ultracold quantum regime [31] and at micro kelvin temperatures where a classical dynamics approach successfully describes the experiments [14,32]. Apart from the vast majority of ratchet-based setups in one spatial dimension (1D) [7,15,16,33,34], recent experiments have significantly progressed the realization of highly controllable two dimensional (2D) setups using ac-driven optical lattices [14,29,35,36] and holographic optical tweezers [37]. Due to such widespread applications of directed particle transport, the different mechanisms to control the transport have been a topic of ongoing research. One such mechanism is ‘current reversal’ where the direction of the particle transport can be reversed by suitably changing one or more system parameters [25,35,38,39,40,41,42,43,44,45,46]. Indeed, most of the existing schemes to generate current reversals focus on reverting the direction of asymptotic particle transport due to a change of system parameter [47,48,49,50]. Only recently has research focused on setups where the current reversal occurs dynamically in time either due to a time-dependent switching of system parameters or due to the presence of interactions and dimensional coupling [33,38,51,52].
Here, we present a scheme to dynamically generate multiple current reversals due to superimposed driven lattices in two dimensions. The setup employs a ‘background lattice’ driven by an external bi-harmonic oscillating driving force, whose underlying potential is separable in terms of the spatial coordinates. This allows directed transport of particles along the direction of the driving force and trapped motion in the orthogonal direction. Superimposing a second lattice in a finite region of space along the direction of transport leads to a reflection behavior and hence generates a current reversal. Subsequently, the superposition of a third identical lattice can reflect the transport direction once again yielding a second reversal of transport. The timescales of the current reversals can be controlled by the spatial locations of the superimposed lattices. The underlying principle behind the current reversals lie in the conversion of the particle dynamics from chaotic to ballistic in the setup involving multiple lattices, a phenomenon which is forbidden in the background lattice alone. Our paper is structured as follows. In Section 2, we describe the underlying setup in detail and discuss its relevant symmetries followed by the main results in Section 3. We discuss the cause of the current reversals in terms of the underlying phase space in Section 4. Finally, in Section 5, we provide a possible experimental realization of our setup and conclude our findings in Section 6.

2. Setup, Equations of Motion and Symmetries

We consider N non-interacting classical particles of mass m in a two dimensional (2D) periodic potential V ( r ) = V B ( r ) + V G ( r ) . The separable potential due to the ‘background lattice’ is represented by V B ( r ) = V ˜ B ( cos 2 π x l + cos 2 π y l ) with potential height V ˜ B and spatial period l in both x and y directions. On top of the lattice V B , we superimpose two finite lattices of 2D Gaussian barriers V G 1 and V G 2 localized in different regions which can be described by the potential V G ( r ) = m , n = + U ˜ G ( r m n ) e α r r m n 2 with the barriers centered at positions r m n = ( m l , n l ) where m , n Z (see Figure 1a). These two lattices also have spatial period l along both x and y directions. U ˜ G ( r m n ) denote the potential height of the barrier located at r m n and α is a measure of the widths of the barriers. In addition, the lattices are driven by an external bi-harmonic periodic driving force f D ( t ) = a ( cos ω t + 0.5 cos 2 ω t , 0 ) along the x-direction with driving amplitude a and frequency ω . This force is spatially independent. Introducing dimensionless variables x = x l , y = y l and t = ω t and dropping the primes for simplicity, the equation of motion for a single particle at position r = ( x , y ) with velocity r ˙ = ( x ˙ , y ˙ ) reads
r ¨ = F B ( r ) + F G ( r ) + F D ( t ) = U B π ( sin 2 π x , sin 2 π y ) + 2 β m , n = + U G ( R m n ) r R m n e β ( r R m n ) 2 + d ( cos t + 0 . 5 cos 2 t , 0 )
where F B ( r ) , F G ( r ) and F D ( t ) denote the forces due to the background lattice, superimposed lattices of Gaussian barriers and external driving respectively. The system is described by the four dimensionless parameters: U B = V ˜ B m l 2 ω 2 denoting the effective potential height of the lattice V B , U G ( R m n ) = U ˜ G ( r m n ) m l 2 ω 2 denoting the effective potential heights of the Gaussian barriers, β = α l 2 and the effective driving amplitude d = a m l ω 2 . R m n = ( m , n ) denote the positions of the maxima of the Gaussian barriers which coincides with the positions of the potential maxima of the background lattice V B . In this dimensionless form, the system has a spatial period L = 1 in both x and y directions and a temporal period T = 2 π .
Our setup breaks the generalized time reversal symmetry S t : t t + τ , r r + δ (for arbitrary constant translations δ and τ of space and time respectively) and the generalized parity symmetry P x : x x + δ , t t + τ in the x-direction. As a result, directed transport of a particle ensemble is expected along the x-direction [7]. Since the setup preserves the generalized parity symmetry along the y-direction: P y : y y + δ , t t + τ , directed transport is not possible along this direction. Throughout the following discussions, by ‘transport’ we would always refer to the directed transport along the x-direction.

3. Results

To explore the transport properties of our setup, we initialize N = 10 4 particles within a square region x , y [ 5 , 5 ] × [ 5 , 5 ] with small random velocities v x , v y [ 0.1 , 0.1 ] × [ 0.1 , 0.1 ] . The initial velocities of the particles are chosen randomly within the low velocity regime such that their initial kinetic energies are small compared to the potential heights of the lattices. Subsequently we time evolve our ensemble up to time t = t f = 4 × 10 4 T by numerical integration of Equation (1) using a Runge-Kutta Dormand Prince integrator [53]. The background lattice is large enough such that the ensemble never leaves the lattice throughout the duration of the simulation; hence no boundary conditions are imposed on the particles. We now discuss the transport properties of our setup characterized by the average velocity v ¯ x of the particle ensemble along the x-direction.
In the presence of only the background lattice V B (setup I in Figure 1a), the particles exhibit directed transport along the positive x-direction with an asymptotic transport velocity v ¯ x 1.3 (Figure 1b). In the setup II we consider a spatially localized lattice of Gaussian barriers V G 1 superimposed on the lattice V B (Figure 1a), such that U G ( R m n ) = 5 for 5 × 10 3 < m < 10 4 and U G ( R m n ) = 0 everywhere else. We define x 1 = 5 × 10 3 ϵ and x 2 = 10 4 + ϵ with ϵ = 5 L as the left and right ‘edges’ of the lattice V G 1 , since the force on the particles due to the Gaussian barriers is negligible for x < x 1 and x > x 2 . In this case, we observe an initial directed transport along the positive x-direction with v ¯ x > 0 (Figure 1b). However, the transport velocity starts to decelerate and at t 3.1 × 10 3 T, the transport completely vanishes. Thereafter, the ensemble is transported along the negative x-direction with v ¯ x < 0 and the transport velocity finally saturates to v ¯ x 7.1 . Hence, a superimposed spatially localized lattice of Gaussian barriers can trigger a current reversal with the reversal timescale in this case given by t r 1 = 3.1 × 10 3 T, i.e., when v ¯ x changes its sign.
In the third setup (setup III), we consider a second identical lattice of Gaussian barriers V G 2 superimposed on the lattice V B between x = x 1 and x = x 2 , such that now U G ( R m n ) = 5 for 5 × 10 3 < | m | < 10 4 and U G ( R m n ) = 0 elsewhere (Figure 1a). Up to t 4.6 × 10 3 T , the transport velocity exhibits a similar behavior as that observed in setup II (Figure 1b). Thereafter, instead of asymptotically attaining a negative value, the velocity increases steadily, exhibiting a second current reversal at t = t r 2 = 5.6 × 10 3 T before finally attaining a constant value v ¯ x 4.7 . The timescales of current reversal can be controlled by the locations of the lattices V G 1 and V G 2 . Overall, this demonstrates a controllable scheme to generate multiple reversals of directed particle transport by superimposing spatially localized lattices of 2D Gaussian barriers over a background lattice.

4. Discussion

The mechanism behind such controllable multiple current reversals in our setup crucially depends on the structure of the phase space underlying the system. Since the particles are non-interacting and can move along both x and y directions, the single particle phase space in our externally driven lattice setup is five-dimensional (5D); characterized by ( x , p x , y , p y , t ) . However in the regions where the lattices V G 1 and V G 2 are absent, the particle dynamics along x and y directions can be completely decoupled. Hence the dynamics of the particles moving only through the background lattice V B driven along the x-direction can be described in terms of a three-dimensional (3D) phase space characterized by ( x , p x , t ) along x and a 2D phase space characterized by ( y , p y ) along y direction. Since we are only interested in the transport along the x-direction, we would henceforth only refer to the 3D phase space along the x-direction in the course of our discussion.

4.1. Directed Transport in Background Lattice

First, we discuss the directed transport of particles in the positive x-direction in the presence of only the lattice V B and the driving force. To do so, it is necessary to understand the phase space underlying our setup I by taking stroboscopic snapshots of particle trajectories x ( t ) , v x ( t ) at t = n T ( n N ) with each particle having different initial conditions. This leads to the 2D Poincaré surface of sections (PSOS): { x ( n T ) m o d L , v x ( n T ) } , which provide a representative overview of the structure of the complete 3D phase space (Figure 2a). Due to the broken P x and S t symmetries, the PSOS do not possess any reflection symmetry about v x = 0 . The PSOS is characterized by a single chaotic manifold or ‘chaotic sea’ bounded by the two first invariant spanning curves (FISC) at v x 10 and v x 6 . The chaotic sea correspond to trajectories undergoing diffusive motion through the lattice. The large regular island embedded in the chaotic sea denotes trapped particles oscillating near the potential minima of the lattice. The particles with speed | v x | higher than the speed of the respective FISC at positive and negative velocities correspond to ballistic unidirectional motion through the lattice along positive or negative x-directions.
The low energy initial coordinates of our particle ensemble correspond to trajectories in the chaotic sea. Hence in the course of their time evolution, they ergodically populate the entire chaotic sea. This can be observed from (Figure 2b), where we project the snapshot of the ensemble population distribution as a function of the particle coordinates ( x , v x ) at time t = t f onto the PSOS. This leads to a converged value of the ensemble velocity which is equal to the transport velocity of the chaotic manifold [16]. Physically this signifies that these particles undergo diffusive motion through the lattice which is however asymmetric about v x = 0 due to the broken symmetries. Hence, the asymptotic average velocity of the ensemble is non-zero and the particles exhibit directed transport along x-direction with v ¯ x 1.3 as observed in Figure 1b.

4.2. First Current Reversal

Next, we discuss why the transport velocity is reversed due to the superposition of a localized lattice of 2D Gaussian barriers V G 1 on the background lattice V B as in the setup II. Here, the particle dynamics is governed by the 2D PSOS (Figure 2a) in the region where only the lattice V B is present, but by the full 5D phase space in the region x 1 < x < x 2 due to the presence of both the lattices V B and V G 1 . Although this 5D phase space cannot be straightforwardly visualized, it turns out that the cause of current reversal can be explained solely on the basis of the ensemble population in the 2D PSOS in Figure 2a. Since the ensemble is initialized near the origin ( 0 , 0 ) , the particles initially experience the spatial potential only due to the lattice V B and hence their initial dynamics is exactly the same as described for setup I in the previous subsection. As a result the initial transport velocity is v ¯ x 1.3 .
Since the transport velocity is positive, the particles reach x = x 1 in the course of time where they encounter the lattice V G 1 in addition to V B . In the region x 1 < x < x 2 , since the particle dynamics is no longer governed by the 2D PSOS, the particles are now no longer confined to the central chaotic sea and can access higher velocities beyond the FISC. In fact, the higher potential heights of the Gaussian barriers ensure that most of the particles perform chaotic diffusive motion even at higher velocities corresponding to the full 5D phase space of our setup. This leads to an interesting conversion process between diffusive and ballistic motion of the particles at the left edge of the lattice V G 1 , i.e., at x = x 1 , which is the key mechanism behind the current reversal. A diffusive particle close to the left edge but with x > x 1 can cross this edge in the course of time back to x < x 1 with v x < 0 . However, its velocity v x immediately after crossing back can be either ≳−6 in which case it lies in the chaotic sea performing diffusive motion or ≲−6 which means it moves away ballistically from the lattice V G 1 towards the negative x-direction. For the particles with v x 6 , such a conversion from diffusive to ballistic motion ensures that they perform unidirectional ballistic flights towards the negative x-direction, thus attaining a permanent negative velocity. On the other hand, since the particles with v x 6 perform diffusive motion they can again enter the region x 1 < x < x 2 in course of time. They would then undergo the same conversion mechanism until all the particles undergo the conversion from diffusive to ballistic motion with v x 6 . This can be observed in Figure 3a where we plot the asymptotic distribution of the ensemble over the 2D PSOS. Most of the particles are located on the invariant curves v x 6 moving ballistically in the negative x-direction. This results in the asymptotic ensemble transport velocity v ¯ x 7.1 . The dynamical change in the transport direction leads to the current reversal at t r 1 = 3.1 × 10 3 T.

4.3. Second Current Reversal

We now discuss why the transport can be reversed once again by superimposing a second identical lattice of Gaussian barriers V G 2 between x = x 1 and x = x 2 as in the setup III. Initially since the particles are initialized near the origin ( 0 , 0 ) , the ensemble drifts towards the positive x-direction and exhibit the same dynamics as in the setup II. As a result, the transport velocity is initially positive till the first current reversal occurs at t r 1 = 3.1 × 10 3 T and then continues to be negative until t 4.6 × 10 3 T. Thereafter, the particle dynamics undergo another conversion process due to which the transport velocity is reversed again.
Unlike the situation in setup II, the particles in the setup III moving ballistically with negative v x after t = t r 1 cannot keep moving through the lattice V B for all longer timescales. Instead at some point, they interact with the lattice V G 2 in the region x 2 < x < x 1 . Due to the high kinetic energy of the particles (since | v x | 6 ), some of them can pass through the region and continue their ballistic flights for longer timescales through the lattice V B . This can be seen from the asymptotic ensemble distribution projected on to the 2D PSOS in Figure 3b, showing that even at t = t f a considerable fraction of the ensemble moves with v x 6 .
However, once a particle enters the region x 2 < x < x 1 , its dynamics is no longer confined to the region v x 6 of the 2D PSOS and can explore the different regions of the 5D phase space. Hence most of the particles attain v x > 0 which in turn allow them to cross the right edge of the lattice V G 2 at x = x 1 back into the region x 1 < x < x 1 where only the lattice V B is present. After crossing to this region, these particles can either belong to the chaotic sea or to the invariant spanning curves with velocity higher than the FISC at v x 10 of the 2D PSOS in Figure 2a. The particles with v x 10 perform unidirectional ballistic flights in the positive x-direction. Due to their significantly higher kinetic energy, most of these particles are not ‘reflected’ further by the lattice V G 1 in the region x 1 < x < x 2 ; instead, after crossing this region, they continue moving ballistically through the lattice V B with v x 10 . This can be observed from the significant distribution of particles with v x 10 in Figure 3b at t = t f . As the velocities of more and more particles undergo the conversion from v x 6 to v x 10 , the transport velocity increases steadily after t 4.6 × 10 3 T, leading to a second current reversal at t = t r 2 = 5.6 × 10 3 T (Figure 1b). On the other hand, the particles in the chaotic layer would eventually again encounter the lattices V G 1 or V G 2 so that their chaotic dynamics is eventually converted to ballistic motion either with v x 10 or with v x 6 . Due to the overall higher number of particles moving asymptotically with v x 10 compared to those with v x 6 (see Figure 3b), the asymptotic transport velocity is v ¯ x 4.7 .
It is worth stressing that the conversion from chaotic to ballistic dynamics of the particles is possible solely due to the 2D nature of the potential generated by the superimposed Gaussian barriers. This ensures that the particle dynamics is coupled in the x and y directions upon entering the regions x 1 < | x | < x 2 (where the Gaussian barriers are present) whereas it is uncoupled in all other regions. In Figure 4a, we show the typical trajectory of a particle in our setup III undergoing such a conversion process. The particle exhibits diffusive motion in the x direction through the lattice V B until it reaches the left edge of the lattice V G 1 at t 5 × 10 3 T. However, since its motion in the y direction is completely decoupled from the x direction, its velocity component v y shows a regular oscillatory behaviour until t 5 × 10 3 T. The interaction with the 2D Gaussian barriers couples the x and y motion of the particle leading to a change in both the velocity components v x and v y . It then undergo ballistic motion with negative v x between t 5 × 10 3 T and t 6 × 10 3 T. Between t 6 × 10 3 T and t 8 × 10 3 T, it interacts with the lattice V G 2 exhibiting diffusive motion coupled in x and y directions. Finally, it undergoes a second conversion from diffusive to ballistic motion at t 8 × 10 3 T as it exits the right edge of the lattice V G 2 and ballistically moves with a positive v x thereafter. It is important to note that the individual timescales of such conversion processes vary for different particles. Some particles may even undergo multiple conversions between diffusive and ballistic dynamics over long timescales as shown for another typical trajectory in Figure 4b.

5. Experimental Realization

Our scheme of multiple current reversal can be experimentally realized using cold atoms or colloids with optical lattices [14,32,38] and lattices designed using holographic trapping techniques [37,54,55,56,57]. The background lattice can be formed by 2D optical lattices where the periodic potential is generated by counterpropagating laser beams of perpendicular polarization. The spatially localized lattices of 2D Gaussian barriers can be obtained by reflecting a linearly polarized laser beam onto a spatial light modulator (SLM) displaying a computer generated hologram. The external driving force can be realized using a piezo-modulator [37].
Translating our parameters to experimentally relevant quantities for an optical lattice setup with cold rubidium (Rb87) atoms and 780 nm lasers, we obtain the lattice height V ˜ B 5 E r , the width 1 α 350 nm, the driving frequency ω ω r and the driving amplitude a 0.003 E r /nm, where E r and ω r are the recoil energy and recoil frequency of the atom respectively. The timescales of the current reversals can be controlled by the spatial locations of the two lattices of Gaussian barriers. Further away the lattices are from the origin, i.e., near the initial location of the ensemble, the larger would be the reversal timescales. In contrast to Brownian ratchets, our mechanism does not depend on noise and operates in the purely Hamiltonian regime. The effect of weak noise typical for ratchet experiments with cold atoms and underdamped colloids [10,58] represent minor fluctuations of the average velocity of the ensemble and this does not affect the functionality of the current reversal mechanism. Interaction and disorder have been shown to enhance accumulation of particles within the regular regions of the phase space [33,59,60], which would aid the conversion of chaotic to ballistic dynamics of particles. This would possibly decrease the reversal timescales.

6. Brief Conclusions

We provided a scheme to realize time dependent multiple reversals of directed transport in a two dimensional driven lattice setup by superimposing ‘spatially localized lattices’ on top of a ‘global background lattice’. In contrast to most other current reversal schemes, the reversal of transport here occurs dynamically and the timescales of reversal can be controlled by controlling the spatial location of the localized lattices. The scheme is generic in the sense that the only requirement is a mixed phase space corresponding to the underlying background lattice and hence can be applied to a variety of physical systems, for e.g, cold atoms and colloids.

Author Contributions

Conceptualization, A.K.M. and P.S.; methodology, A.K.M.; software, A.K.M.; validation, A.K.M.; formal analysis, A.K.M; investigation, A.K.M; resources, P.S.; data curation, A.K.M.; writing–original draft preparation, A.K.M.; writing–review and editing, A.K.M. and P.S.; visualization, A.K.M.; supervision, P.S.; project administration, P.S.; funding acquisition, A.K.M. and P.S. All authors have read and agreed to the published version of the manuscript.

Funding

A.K.M acknowledges a doctoral research grant (Funding ID: 57129429) by the Deutscher Akademischer Austauschdienst (DAAD).

Acknowledgments

The authors thank B. Liebchen and T. Wulf for insightful discussions.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

References

  1. Ait-Haddou, R.; Herzog, W. Brownian Ratchet Models of Molecular Motors. Cell Biochem. Biophys. 2003, 38, 191–214. [Google Scholar] [CrossRef]
  2. Astumian, R.D.; Hänggi, P. Brownian Motors. Phys. Today 2002, 55, 33. [Google Scholar] [CrossRef]
  3. Astumian, R.D. Thermodynamics and Kinetics of a Brownian Motor. Science 1997, 276, 917–922. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Jülicher, F.; Ajdari, A.; Prost, J. Modeling Molecular Motors. Rev. Mod. Phys. 1997, 69, 1269–1282. [Google Scholar] [CrossRef] [Green Version]
  5. Bartussek, R.; Hänggi, P.; Kissner, J.G. Periodically Rocked Thermal Ratchets. Europhys. Lett. 1994, 28, 459–464. [Google Scholar] [CrossRef]
  6. Cubero, D.; Renzoni, F. Brownian Ratchets; Cambridge University Press: Cambridge, UK, 2016. [Google Scholar] [CrossRef]
  7. Denisov, S.; Flach, S.; Hänggi, P. Tunable Transport with Broken Space–Time Symmetries. Phys. Rep. 2014, 538, 77–120. [Google Scholar] [CrossRef] [Green Version]
  8. Faucheux, L.P.; Bourdieu, L.S.; Kaplan, P.D.; Libchaber, A.J. Optical Thermal Ratchet. Phys. Rev. Lett. 1995, 74, 1504–1507. [Google Scholar] [CrossRef]
  9. Hänggi, P.; Marchesoni, F.; Nori, F. Brownian Motors. Ann. Phys. 2005, 14, 51. [Google Scholar] [CrossRef]
  10. Hänggi, P.; Marchesoni, F. Artificial Brownian Motors: Controlling Transport on the Nanoscale. Rev. Mod. Phys. 2009, 81, 387–442. [Google Scholar] [CrossRef] [Green Version]
  11. Magnasco, M.O. Forced Thermal Ratchets. Phys. Rev. Lett. 1993, 71, 1477–1481. [Google Scholar] [CrossRef]
  12. Prost, J.; Chauwin, J.F.; Peliti, L.; Ajdari, A. Asymmetric Pumping of Particles. Phys. Rev. Lett. 1994, 72, 2652–2655. [Google Scholar] [CrossRef]
  13. Reichhardt, C.J.O.; Reichhardt, C. Ratchet Effects in Active Matter Systems. Annu. Rev. Condens. Matter Phys. 2017, 8, 51. [Google Scholar] [CrossRef] [Green Version]
  14. Renzoni, F. Driven Ratchets in Cold Atoms; Elsevier: Amsterdam, The Netherlands, 2009. [Google Scholar]
  15. Flach, S.; Yevtushenko, O.; Zolotaryuk, Y. Directed Current Due to Broken Time-Space Symmetry. Phys. Rev. Lett. 2000, 84, 2358–2361. [Google Scholar] [CrossRef] [Green Version]
  16. Schanz, H.; Dittrich, T.; Ketzmerick, R. Directed Chaotic Transport in Hamiltonian Ratchets. Phys. Rev. E 2005, 71, 026228. [Google Scholar] [CrossRef] [Green Version]
  17. Matthias, S.; Müller, F. Asymmetric Pores in a Silicon Membrane Acting as Massively Parallel Brownian Ratchets. Nature 2003, 424, 53. [Google Scholar] [CrossRef]
  18. Mukhopadhyay, A.K.; Liebchen, B.; Schmelcher, P. Simultaneous Control of Multispecies Particle Transport and Segregation in Driven Lattices. Phys. Rev. Lett. 2018, 120, 218002. [Google Scholar] [CrossRef] [Green Version]
  19. Wambaugh, J.F.; Reichhardt, C.; Olson, C.J. Ratchet-Induced Segregation and Transport of Nonspherical Grains. Phys. Rev. E 2002, 65, 031308. [Google Scholar] [CrossRef] [Green Version]
  20. Petri, C.; Lenz, F.; Liebchen, B.; Diakonos, F.; Schmelcher, P. Formation of Density Waves via Interface Conversion of Ballistic and Diffusive Motion. Europhys. Lett. 2011, 95, 30005. [Google Scholar] [CrossRef]
  21. Wulf, T.; Petri, C.; Liebchen, B.; Schmelcher, P. Analysis of Interface Conversion Processes of Ballistic and Diffusive Motion in Driven Superlattices. Phys. Rev. E 2012, 86, 016201. [Google Scholar] [CrossRef] [Green Version]
  22. Falo, F.; Martínez, P.J.; Mazo, J.J.; Cilla, S. Ratchet Potential for Fluxons in Josephson-Junction Arrays. Europhys. Lett. 1999, 45, 700–706. [Google Scholar] [CrossRef]
  23. Zolotaryuk, Y. Asymmetric Ac Fluxon Depinning in a Josephson Junction Array: A Highly Discrete Limit. Phys. Rev. E 2012, 86, 026604. [Google Scholar] [CrossRef] [Green Version]
  24. Ai, B. Ratchet Transport Powered by Chiral Active Particles. Sci. Rep. 2016, 6, 18740. [Google Scholar] [CrossRef] [Green Version]
  25. Spiechowicz, J.; Łuczka, J. SQUID Ratchet: Statistics of Transitions in Dynamical Localization. Chaos Interdiscip. J. Nonlinear Sci. 2019, 29, 013105. [Google Scholar] [CrossRef] [Green Version]
  26. Spiechowicz, J.; Łuczka, J. Efficiency of the SQUID Ratchet Driven by External Current. New J. Phys. 2015, 17, 023054. [Google Scholar] [CrossRef]
  27. Zapata, I.; Bartussek, R.; Sols, F.; Hänggi, P. Voltage Rectification by a SQUID Ratchet. Phys. Rev. Lett. 1996, 77, 2292–2295. [Google Scholar] [CrossRef] [Green Version]
  28. Faltermeier, P.; Budkin, G.V.; Unverzagt, J.; Hubmann, S.; Pfaller, A.; Bel’Kov, V.V.; Golub, L.E.; Ivchenko, E.L.; Adamus, Z.; Karczewski, G.; et al. Magnetic Quantum Ratchet Effect in (Cd,Mn)Te- and CdTe-Based Quantum Well Structures with a Lateral Asymmetric Superlattice. Phys. Rev. B 2017, 95, 155442. [Google Scholar] [CrossRef] [Green Version]
  29. Lebedev, V.; Renzoni, F. Two-Dimensional Rocking Ratchet for Cold Atoms. Phys. Rev. A 2009, 80, 023422. [Google Scholar] [CrossRef] [Green Version]
  30. Schiavoni, M.; Sanchez-Palencia, L.; Renzoni, F.; Grynberg, G. Phase Control of Directed Diffusion in a Symmetric Optical Lattice. Phys. Rev. Lett. 2003, 90, 094101. [Google Scholar] [CrossRef] [Green Version]
  31. Salger, T.; Kling, S.; Hecking, T.; Geckeler, C.; Morales-Molina, L.; Weitz, M. Directed Transport of Atoms in a Hamiltonian Quantum Ratchet. Science 2009, 326, 1241–1243. [Google Scholar] [CrossRef] [Green Version]
  32. Brown, M.; Renzoni, F. Ratchet Effect in an Optical Lattice with Biharmonic Driving: A Numerical Analysis. Phys. Rev. A 2008, 77, 033405. [Google Scholar] [CrossRef]
  33. Liebchen, B.; Diakonos, F.K.; Schmelcher, P. Interaction-Induced Current-Reversals in Driven Lattices. New J. Phys. 2012, 14, 103032. [Google Scholar] [CrossRef] [Green Version]
  34. Schanz, H.; Otto, M.F.; Ketzmerick, R.; Dittrich, T. Classical and Quantum Hamiltonian Ratchets. Phys. Rev. Lett. 2001, 87, 070601. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Cubero, D.; Renzoni, F. Control of Transport in Two-Dimensional Systems via Dynamical Decoupling of Degrees of Freedom with Quasiperiodic Driving Fields. Phys. Rev. E 2012, 86, 056201. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Denisov, S.; Zolotaryuk, Y.; Flach, S.; Yevtushenko, O. Vortex and Translational Currents Due to Broken Time-Space Symmetries. Phys. Rev. Lett. 2008, 100, 224102. [Google Scholar] [CrossRef]
  37. Arzola, A.V.; Villasante-Barahona, M.; Volke-Sepúlveda, K.; Jákl, P.; Zemánek, P. Omnidirectional Transport in Fully Reconfigurable Two Dimensional Optical Ratchets. Phys. Rev. Lett. 2017, 118, 138002. [Google Scholar] [CrossRef]
  38. Arzola, A.V.; Volke-Sepúlveda, K.; Mateos, J.L. Experimental Control of Transport and Current Reversals in a Deterministic Optical Rocking Ratchet. Phys. Rev. Lett. 2011, 106, 168104. [Google Scholar] [CrossRef] [Green Version]
  39. Dandogbessi, B.; Akin-Ojo, O.; Kenfack, A. Controlling Current Reversals in Chaotic Ratchet Transport. Phys. Scr. 2015, 90, 055206. [Google Scholar] [CrossRef]
  40. Schreier, M.; Reimann, P.; Hänggi, P.; Pollak, E. Giant Enhancement of Diffusion and Particle Selection in Rocked Periodic Potentials. Europhys. Lett. 1998, 44, 416–422. [Google Scholar] [CrossRef]
  41. Wickenbrock, A.; Cubero, D.; Wahab, N.A.A.; Phoonthong, P.; Renzoni, F. Current Reversals in a Rocking Ratchet: The Frequency Domain. Phys. Rev. E 2011, 84, 021127. [Google Scholar] [CrossRef] [Green Version]
  42. Dinis, L.; Quintero, N.R. Nonsinusoidal Current and Current Reversals in a Gating Ratchet. Phys. Rev. E 2015, 91, 032920. [Google Scholar] [CrossRef] [Green Version]
  43. Zeng, C.; Wang, H.; Nie, L. Multiple Current Reversals and Diffusion Enhancement in a Symmetrical Periodic Potential. Chaos Interdiscip. J. Nonlinear Sci. 2012, 22, 033125. [Google Scholar] [CrossRef]
  44. Kostur, M.; Łuczka, J. Multiple Current Reversal in Brownian Ratchets. Phys. Rev. E 2001, 63, 021101. [Google Scholar] [CrossRef]
  45. Chen, R.; Zhang, G.; Wang, C.; Nie, L.; Chen, C. Current Reversal in a Symmetric Periodic Potential. Chaos Solitons Fractals 2017, 98, 205–209. [Google Scholar] [CrossRef]
  46. Rana, S.; Goswami, S.; Chatterjee, S.; Pradhan, P. Current Reversal in Interacting Colloids under Time-Periodic Drive. Phys. Rev. E 2018, 98, 052142. [Google Scholar] [CrossRef] [Green Version]
  47. Da Silva, R.M.; Manchein, C.; Beims, M.W. Optimal Ratchet Current for Elastically Interacting Particles. Chaos Interdiscip. J. Nonlinear Sci. 2019, 29, 111101. [Google Scholar] [CrossRef]
  48. De Souza Silva, C.C.; Van de Vondel, J.; Morelle, M.; Moshchalkov, V.V. Controlled Multiple Reversals of a Ratchet Effect. Nature 2006, 440, 651–654. [Google Scholar] [CrossRef]
  49. Marconi, V.I. Rocking Ratchets in Two-Dimensional Josephson Networks: Collective Effects and Current Reversal. Phys. Rev. Lett. 2007, 98, 047006. [Google Scholar] [CrossRef] [Green Version]
  50. Mateos, J.L. Chaotic Transport and Current Reversal in Deterministic Ratchets. Phys. Rev. Lett. 2000, 84, 258–261. [Google Scholar] [CrossRef] [Green Version]
  51. Mukhopadhyay, A.K.; Xie, T.; Liebchen, B.; Schmelcher, P. Dimensional Coupling-Induced Current Reversal in Two-Dimensional Driven Lattices. Phys. Rev. E 2018, 97, 050202. [Google Scholar] [CrossRef] [Green Version]
  52. Mukhopadhyay, A.K.; Liebchen, B.; Wulf, T.; Schmelcher, P. Freezing, Accelerating, and Slowing Directed Currents in Real Time with Superimposed Driven Lattices. Phys. Rev. E 2016, 93, 052219. [Google Scholar] [CrossRef] [Green Version]
  53. Dormand, J.R.; Prince, P.J. A Family of Embedded Runge-Kutta Formulae. J. Comput. Appl. Math. 1980, 6, 19. [Google Scholar] [CrossRef] [Green Version]
  54. Barredo, D.; de Léséleuc, S.; Lienhard, V.; Lahaye, T.; Browaeys, A. An Atom-by-Atom Assembler of Defect-Free Arbitrary Two-Dimensional Atomic Arrays. Science 2016, 354, 1021–1023. [Google Scholar] [CrossRef] [Green Version]
  55. Kim, H.; Lee, W.; Lee, H.G.; Jo, H.; Song, Y.; Ahn, J. In Situ Single-Atom Array Synthesis Using Dynamic Holographic Optical Tweezers. Nat. Commun. 2016, 7, 13317. [Google Scholar] [CrossRef]
  56. Nogrette, F.; Labuhn, H.; Ravets, S.; Barredo, D.; Béguin, L.; Vernier, A.; Lahaye, T.; Browaeys, A. Single-Atom Trapping in Holographic 2D Arrays of Microtraps with Arbitrary Geometries. Phys. Rev. X 2014, 4, 021034. [Google Scholar] [CrossRef] [Green Version]
  57. Stuart, D.; Kuhn, A. Single-Atom Trapping and Transport in DMD-Controlled Optical Tweezers. New J. Phys. 2018, 20, 023013. [Google Scholar] [CrossRef]
  58. Cubero, D.; Lebedev, V.; Renzoni, F. Current Reversals in a Rocking Ratchet: Dynamical versus Symmetry-Breaking Mechanisms. Phys. Rev. E 2010, 82, 041116. [Google Scholar] [CrossRef] [Green Version]
  59. Liebchen, B.; Schmelcher, P. Interaction Induced Directed Transport in Ac-Driven Periodic Potentials. New J. Phys. 2015, 17, 083011. [Google Scholar] [CrossRef] [Green Version]
  60. Wulf, T.; Liebchen, B.; Schmelcher, P. Disorder Induced Regular Dynamics in Oscillating Lattices. Phys. Rev. Lett. 2014, 112, 034101. [Google Scholar] [CrossRef] [Green Version]
Figure 1. (a) Schematic representation of a slice of our 2D setup along the x-direction and viewed along the y-direction. The filled dots denote particles and the colors red and black denote diffusive and ballistic motion respectively. The arrows denote the direction of motion of the particles at asymptotic timescales ( t = t f ) with the length of the arrow being proportional to the magnitude of the x component of their velocities, i.e., v x . In the presence of only the driven background lattice V B depicted in blue (setup I, upper panel), most particles exhibit diffusive/chaotic transport towards right, hence the average transport is along the positive x-direction. On superimposing a finite lattice of 2D Gaussian barriers V G 1 (in green), most particles undergo a conversion from diffusive to ballistic motion leading to a reversal of their average transport direction (setup II, middle panel). Their velocities can be reversed once again due to the superposition of a second identical lattice of Gaussian barriers V G 2 , thus leading to a second current reversal. The external driving force is along the x-direction. (b) Mean transport velocity of the ensemble along the x-direction as a function of time for the three different setups. U G ( R m n ) = 0 for all ( m , n ) in setup I. For the setup II, U G ( R m n ) = 5 for 5 × 10 3 < m < 10 4 and vanishes elsewhere whereas for setup III, U G ( R m n ) = 5 for 5 × 10 3 < | m | < 10 4 and zero elsewhere. Remaining parameters: U B = 1.0 , β = 5 , d = 0.5 .
Figure 1. (a) Schematic representation of a slice of our 2D setup along the x-direction and viewed along the y-direction. The filled dots denote particles and the colors red and black denote diffusive and ballistic motion respectively. The arrows denote the direction of motion of the particles at asymptotic timescales ( t = t f ) with the length of the arrow being proportional to the magnitude of the x component of their velocities, i.e., v x . In the presence of only the driven background lattice V B depicted in blue (setup I, upper panel), most particles exhibit diffusive/chaotic transport towards right, hence the average transport is along the positive x-direction. On superimposing a finite lattice of 2D Gaussian barriers V G 1 (in green), most particles undergo a conversion from diffusive to ballistic motion leading to a reversal of their average transport direction (setup II, middle panel). Their velocities can be reversed once again due to the superposition of a second identical lattice of Gaussian barriers V G 2 , thus leading to a second current reversal. The external driving force is along the x-direction. (b) Mean transport velocity of the ensemble along the x-direction as a function of time for the three different setups. U G ( R m n ) = 0 for all ( m , n ) in setup I. For the setup II, U G ( R m n ) = 5 for 5 × 10 3 < m < 10 4 and vanishes elsewhere whereas for setup III, U G ( R m n ) = 5 for 5 × 10 3 < | m | < 10 4 and zero elsewhere. Remaining parameters: U B = 1.0 , β = 5 , d = 0.5 .
Applsci 10 01357 g001
Figure 2. (a) The stroboscopic 2D Poincaré surface of sections (PSOS) in the ( x , v x ) plane corresponding to the driven background lattice V B . The regular islands and invariant curves (in black) denote trapped oscillations and ballistic motion respectively. The chaotic sea (in green) denotes diffusive motion. (b) The asymptotic particle distribution as a function of position x mod L and v x (in colormap) of all the N = 10 4 particles propagating in the setup I superimposed on the PSOS shown in Figure 2a. The parameters are the same as in Figure 1.
Figure 2. (a) The stroboscopic 2D Poincaré surface of sections (PSOS) in the ( x , v x ) plane corresponding to the driven background lattice V B . The regular islands and invariant curves (in black) denote trapped oscillations and ballistic motion respectively. The chaotic sea (in green) denotes diffusive motion. (b) The asymptotic particle distribution as a function of position x mod L and v x (in colormap) of all the N = 10 4 particles propagating in the setup I superimposed on the PSOS shown in Figure 2a. The parameters are the same as in Figure 1.
Applsci 10 01357 g002
Figure 3. The asymptotic particle distribution as a function of position x mod L and v x (in colormap) of all the N = 10 4 particles propagating in the (a) setup II and (b) setup III projected on to the PSOS shown in Figure 2a. The parameters are the same as in Figure 1.
Figure 3. The asymptotic particle distribution as a function of position x mod L and v x (in colormap) of all the N = 10 4 particles propagating in the (a) setup II and (b) setup III projected on to the PSOS shown in Figure 2a. The parameters are the same as in Figure 1.
Applsci 10 01357 g003
Figure 4. (a,b) Trajectories of two typical particles depicting the conversion between diffusive and ballistic dynamics in the setup III. The horizontal black lines at x = x 1 and x = x 1 in the upper panels denote the left and right edges of the lattices V G 1 and V G 2 respectively. The particle in (a) is reflected twice by these two lattices due to the conversion between diffusive and ballistic dynamics. However, the particle in (b) undergoes such conversions multiple times over long timescales. The parameters are the same as in Figure 1.
Figure 4. (a,b) Trajectories of two typical particles depicting the conversion between diffusive and ballistic dynamics in the setup III. The horizontal black lines at x = x 1 and x = x 1 in the upper panels denote the left and right edges of the lattices V G 1 and V G 2 respectively. The particle in (a) is reflected twice by these two lattices due to the conversion between diffusive and ballistic dynamics. However, the particle in (b) undergoes such conversions multiple times over long timescales. The parameters are the same as in Figure 1.
Applsci 10 01357 g004

Share and Cite

MDPI and ACS Style

Mukhopadhyay, A.K.; Schmelcher, P. Multiple Current Reversals Using Superimposed Driven Lattices. Appl. Sci. 2020, 10, 1357. https://doi.org/10.3390/app10041357

AMA Style

Mukhopadhyay AK, Schmelcher P. Multiple Current Reversals Using Superimposed Driven Lattices. Applied Sciences. 2020; 10(4):1357. https://doi.org/10.3390/app10041357

Chicago/Turabian Style

Mukhopadhyay, Aritra K., and Peter Schmelcher. 2020. "Multiple Current Reversals Using Superimposed Driven Lattices" Applied Sciences 10, no. 4: 1357. https://doi.org/10.3390/app10041357

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop