Pith. sign in

REVIEW 3 major objections 6 minor 86 references

Computational study of active polar polymer melts: from active reptation to activity induced local alignment

T0 review · 3 major / 6 minor · reviewed 2026-08-12 · deepseek-v4-flash

Pith's one-line read Tangent polar activity gives entangled polymer melts a low-activity regime that matches active reptation theory and a high-activity regime where diffusion becomes independent of molecular weight, tube segments stretch and align, and local…

desk verdict A solid simulation test of active reptation in all-active melts that is worth refereeing despite an unchecked high-activity extrapolation and some internal numerical inconsistencies. read the letter →

arxiv 2411.11472 v1 pith:XEJNWES5 submitted 2024-11-18 cond-mat.soft

classification cond-mat.soft
keywords activepolymersentangledpolymermeltsreptationpolaractivityconstraintreleaseprimitivepathanalysisphasediagramsuperdiffusion
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper asks what happens when every chain in an entangled polymer melt pushes itself along its own contour, so that constraint release is active as well as reptation. It argues that the existing active reptation theory survives in this all-active setting at low activity, but that above a threshold the theory stops capturing the dynamics: diffusion becomes independent of molecular weight, a superdiffusive regime precedes the terminal Fickian motion, and the melt develops local bond alignment, non-uniform segment stretching, and tube orientation and stretching. The evidence is a set of molecular dynamics simulations of a coarse-grained bead-spring melt over four decades of the dimensionless monomeric activity $Pe_m$. If the picture is right, the tube framework for entangled polymers extends into active matter and the behavior can be organized into an eight-region phase diagram.

What carries the argument

The central mechanism is a coarse-grained bead-spring melt in which each monomer feels a tangent self-propulsion force $\mathbf{f}^a_i = f_c(\mathbf{r}_{i+1}-\mathbf{r}_{i-1})/b$, with the dimensionless activity $Pe_m = f_c b / k_BT$ and a global activity $Pe_g = N Pe_m$. The load-bearing identity is a force balance between the accumulated active tension $N f_c$ and the entropic elasticity of the chain inside its tube, giving the relative primitive-path stretch $(L_{PP}-L^0_{PP})/L^0_{PP} = \alpha Pe_g[1-(L_{PP}/1.5 L^0_{PP})^2]$, which says that tube stretching is controlled only by the global activity. The diagnostics that carry the argument are primitive path analysis for the tube length, the tube tangent correlation and tube survival functions for distinguishing passive reptation from active drift, and the local order parameter $p_2$ for nematic bond alignment.

What would settle it

Repeat the high-activity simulations with a stiffer spring potential or an explicit no-crossing constraint while tracking chain crossings; if the tube stretching, the superdiffusion peak, or the alignment peak near $Pe_m \approx 2$ disappear when crossings are suppressed, the claimed high-activity regimes were artifacts of bond deformation.

Watch

Extended reading notes

Core claim

On the paper's own terms, the discovery is that an entangled melt of chains that each push tangentially along their own contour has a low-activity regime that matches the active reptation theory: diffusion $D_G$ is proportional to $Pe_m$ and independent of molecular weight, the center-of-mass mean-square displacement is superdiffusive before the terminal Fickian regime, and the end-to-end relaxation time scales as $\tau_\phi \propto N/Pe_m$. Above roughly $Pe_m \approx 0.05$ the assumptions of the theory break down: tube segments acquire orientational correlations beyond the entanglement length, the primitive path stretches while the coil stretches only mildly, and the head-tail symmetry of the chain is broken in both conformation and dynamics, with the head monomer becoming the slowest. At the highest activities local bond alignment appears, peaking near $Pe_m = 2$ and forming transient clusters of aligned segments, and the whole set of regimes is summarized in an eight-region diagram as a function of molecular weight and activity.

Load-bearing premise

The high-activity conclusions rest on the assumption that a 10 percent stretch of the inter-monomer springs does not make chains able to pass through each other; if that assumption fails, the tube stretching, local alignment, and the high-activity regions of the phase diagram would be artifacts of the model rather than entanglement physics.

Editorial extensions

If this is right

  • Once activity dominates, the diffusion coefficient becomes independent of molecular weight and grows linearly with $Pe_m$ in the active-reptation regime, so chain length ceases to set the transport rate.
  • The center-of-mass mean-square displacement shows a superdiffusive regime that can persist for over a decade in logarithmic time before becoming Fickian, with the same functional form as the mean-square displacement of a single self-propelled particle.
  • The end-to-end relaxation time scales as $\tau_\phi \propto N/Pe_m$ in the activity-dominated regime, so longer chains relax faster relative to their passive disengagement time.
  • The primitive path can stretch up to about 50 percent while the overall coil stretches only about 10 percent, revealing an inward-folded chain structure whose tube stretch is a universal function of the global activity $Pe_g$.
  • The eight-region phase diagram organizes unentangled and entangled chains, passive and active reptation, anisotropic active motion, tube stretching, and nematic bond alignment into a single map spanned by $N$ and $Pe_m$.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • If the alignment-induced reduction of effective monomer friction is real, the peak in diffusion near $Pe_m \approx 2$ should come with a measurable drop in the effective friction inferred from the chain's internal relaxation modes; the paper does not report that check.
  • The collapse of tube stretch onto the global activity $Pe_g$ suggests a universality that could be tested in other bead-spring models: a model with different bond stiffness might shift the coefficient $\alpha$ in the tube-stretch identity but keep the same functional form.
  • By analogy with shear-oriented melts, the tube-tangent halo at high activity implies an anisotropic stress relaxation mechanism; computing the stress relaxation function would give a rheological consequence that the paper does not extract.
  • If the melt result transfers to motor-driven filament networks, transport in such active entangled fluids should become insensitive to filament length at high motor activity, a testable in-vitro prediction.
Share X Bluesky LinkedIn Reddit HN

Signed reviews

No signed human review yet.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

3 major / 6 minor

Summary. This paper reports Langevin molecular dynamics simulations of entangled Kremer-Grest polymer melts in which every monomer is subjected to a tangent polar active force (Eq. 3), with monomeric Péclet numbers spanning four orders of magnitude and chain lengths N=50–800. The authors characterize coil size and segmental deformation, primitive-path tube length and orientation correlations, local bond alignment and cluster statistics, center-of-mass and monomeric MSDs, end-to-end relaxation, and tube-tangent/survival functions. They conclude that at low activities the data confirm the earlier active reptation theory—molecular-weight-independent diffusion coefficient proportional to Pem, transient superdiffusion, and end-to-end relaxation time scaling as N/Pem—while at high activities new phenomena appear: progressive head-tail stretching asymmetry, tube stretching, local nematic-like bond alignment, and an eight-region phase diagram. Additional simulations with higher friction are used to assess inertia effects.

Significance. The low-activity part of the paper is a valuable, largely parameter-free test of active reptation theory in fully active melts: the predicted N-independent D, D∝Pem, and superdiffusive MSD are compared with simulation without fitting the theory to these data, and the agreement supports the theory's robustness when constraint release is present. The high-activity findings—tube stretching, alignment, and the phase diagram—are novel and interesting, but they currently rest on an unverified assumption about chain uncrossability under ~10% FENE bond stretch. If that assumption survives a direct test, the paper will provide a useful map of active entangled polymer behavior and a benchmark for future theory; even if it fails, the low-activity conclusions stand. The manuscript is generally well organized and includes reproducible simulation protocols and comparisons to prior work.

major comments (3)
  1. [§3.3 and Fig. S5] The central high-activity claims—tube stretching (Fig. 4), local bond alignment (Fig. 6), the high-activity tube-tangent correlations (Fig. 11), and phase-diagram regions V, VII, and VIII—are made for Pem ≥ 1 at ζ=0.5, where the authors find ~10% FENE bond stretch. The text acknowledges that 'the uncrossability of the chains might be compromised,' but the assertion that 10% stretching 'remains limited enough to preserve the validity of our results' is not supported by any test. Because all tube-based observables presuppose that chains cannot pass through each other, please supply a direct test (e.g., a bond–bond crossing census as a function of Pem, or a repeat of key high-Pem runs with stiffer FENE springs) and show that the PPA results and phase diagram are unchanged. This is required before the high-activity regimes can be accepted as entanglement physics rather than model artifacts.
  2. [§3.1.4, §3.2.2, §3.2.4, Conclusions] The manuscript uses incompatible thresholds for the validity of the active reptation theory. Section 3.1.4 reports that orientation correlations of tube segments deviate from equilibrium for Pem ≥ 0.05 and that the theory's key assumption fails above this value; §3.2.2 similarly states that the t^{1/4} tube-constrained regime disappears for Pem ≥ 0.05. The Conclusions and the final bullet list, however, say the theory is valid only up to Pem = 0.0125. Please reconcile these numbers and state explicitly, for each quantitative comparison to theory in Figs. 7, 9, 10, and 12, which threshold applies. As written, it is unclear whether the regime called 'low activity' is Pem ≤ 0.0125 or Pem ≤ 0.05.
  3. [§3.4 and Eq. (9)] The phase-diagram boundary separating active anisotropic reptation from the active stretched tube is set by a 10% tube elongation, stated to correspond to Peg ≈ 100. Using the paper's own Eq. (9) with α = 0.00485, the relative tube elongation in the linear regime is (LPP − L0PP)/L0PP ≈ αPeg = 0.00485 Peg, so a 10% elongation is reached at Peg ≈ 21; including the saturation factor (1 − (LPP/1.5L0PP)^2) gives Peg ≈ 21.5, not Peg ≈ 100. Please correct the threshold or the reported α and redraw the corresponding boundary; the current V–VII line is quantitatively inconsistent with Fig. 4(b).
minor comments (6)
  1. [Abstract and §3.2.3] The abstract states that the end-to-end relaxation time is inversely proportional to the molecular weight, but the body and the conclusions state τϕ ∼ N/Pem, i.e., proportional to N and inversely proportional to Pem. Please correct the abstract to match the results.
  2. [§3.1.1 and §3.1.3] The maximum chain elongation is reported as 14% in Section 3.1.1 and as 10% in Section 3.1.3; please make these values consistent.
  3. [Fig. 2 caption] The second panel is also labeled (a); it should be (b).
  4. [§3.2.3, Eq. (11)] For β > 1 the function in Eq. (11) is a compressed exponential, not a stretched exponential; please adjust the terminology.
  5. [§3.4] The sentence 'unentangled chains also experience elongation (region IV)' appears to mislabel the region; region IV is the entangled active-reptation region, and the intended region is likely VI. Please check all region labels in the bullet list against Fig. 14.
  6. [§3.1.5] The cluster analysis uses p2^th = 0.25 and d = 2.0σ; a brief statement of sensitivity to these cutoffs would strengthen the phase-diagram boundary in region VIII.

Circularity Check

1 steps flagged · score 2.0 of 10

Central active-reptation test is independent; minor circularity burden from the fitted tube-stretch law used to place one phase-diagram boundary.

  1. fitted input called prediction [Section 3.1.3, Eq. (9) and Fig. 4(b); Section 3.4 phase-diagram boundary V/VII]
    "The black dashed line shown on Fig. 4(b) has been obtained with α = 0.00485. ... The line separating active anisotropic reptation (V) from the active stretched tube (VII) can be derived from Fig. 4 by establishing a threshold elongation of the tube at 10%. The global Péclet number corresponding to this relative elongation of the tube is Peg ≈ 100."

    Equation (9) is calibrated to the same LPP(Peg) data it is then said to describe: the dashed line in Fig. 4(b) is a one-parameter fit, not a parameter-free prediction. The V/VII phase boundary is then 'derived from Fig. 4' by reading the 10% tube-elongation threshold off this fitted curve, so the resulting boundary (Peg ≈ 100, hence Pem ∝ 100/N ∝ 1/Z) is a re-description of the fit rather than an independent test. The paper's central dynamical claims (D ∝ Pem, N-independent D, superdiffusion, tube-survival asymmetry) are instead compared with the analytical active-reptation theory and are not affected by this in-sample fitting.

full rationale

The paper's main derivation chain is not circular. The active-reptation theory predictions tested here (D ∝ Pem, molecular-weight-independent D, transient superdiffusion, asymmetric tube survival) are parameter-free analytical scalings from the authors' earlier theory, and the present simulations are new multi-chain data with all chains active; the predictions are not fit to these simulations. The self-citations [59,60] provide the analytical benchmark, and the paper actively tests the theory's stated assumption (isotropic tube-segment creation) via orientation correlations rather than assuming it. The only notable in-sample element is Eq. (9), where the tube-stretch law is fitted to the same primitive-path data it describes and later used to place the V/VII boundary in the phase diagram; this is a minor circularity burden but does not support the paper's headline dynamical results. The acknowledged 10% FENE bond stretch at high Pem is a model-robustness concern about chain uncrossability, not a circularity of the derivation chain. Overall, the central claims have independent empirical content, so a low score is appropriate.

Assumptions & free parameters 5 free parameters · 7 assumptions · 0 invented entities

The paper's central claims rest on the standard KG model and tube theory, plus the specific active-force discretization and the assumption that topological constraints survive at high activity. No new physical entities are introduced. Several descriptive fits (α_tube, α_coil, cluster exponent) and operational thresholds enter the analysis but are not used as input to the theory comparison.

free parameters (5)
  • alpha_tube = 0.00485
    Fit parameter in Eq. (9) for the relative tube-length growth; introduced because the projection of active tension onto the tube axis is unknown, giving the dashed 'universal' line in Fig. 4(b).
  • alpha_coil = 0.035
    Slope of the logarithmic fit to the normalized end-to-end distance vs Peg in Fig. 2(b); used to claim a universal coil growth above Peg ≈ 0.5.
  • cluster_size_exponent_nu = -1.7
    Power-law exponent of the cluster size distribution p(m) ~ m^ν at high activities, Fig. 6(b).
  • phase_diagram_thresholds = various (10% tube elongation, 1.5x diffusion increase, Pem ≈ 0.2, Pem ≈ 1)
    Operational thresholds chosen from the simulation data to draw regime boundaries in Fig. 14; these are not derived from theory.
  • cluster_definition_cutoffs = p_th=0.25, d=2.0σ
    Ad hoc criteria used to define nematic clusters in Section 3.1.5; changing them changes cluster sizes and the reported exponent.
assumptions (7)
  • domain assumption The Kremer-Grest model and the tube/reptation framework describe entangled polymer dynamics.
    Used throughout; standard for passive melts, assumed to remain valid for active melts at low activity.
  • domain assumption Chain ends explore all orientations before creating new tube segments (c ≤ a/τe), a key assumption of the active reptation theory.
    Used in Section 3.1.4 to define the validity limit of the theory [59,60]; the paper tests this assumption.
  • domain assumption Primitive path analysis (PPA) yields meaningful tube lengths and tangent correlations in non-equilibrium active steady states.
    PPA is an equilibrium-based geometric tool; applying it to stretched active chains assumes the tube notion survives. Section 3.1.3.
  • domain assumption Hydrodynamic interactions are negligible at the monomer density considered.
    Stated in Section 2; not tested.
  • ad hoc to paper The tangent active force in Eq. (3), f_i^a = f_c b (r_{i+1} - r_{i-1}), is a valid discretization of polar activity.
    Model choice; the force magnitude depends on local conformation, which may affect stretching and alignment results.
  • domain assumption At high activity, 10% FENE bond stretching does not compromise chain uncrossability.
    Assumed in Section 3.3 to preserve the validity of high-Pem entanglement results; not quantitatively validated.
  • standard math The Langevin thermostat with constant friction ζ and Gaussian white noise obeying the fluctuation-dissipation relation describes the thermal bath.
    Standard; used in Eq. (4).

how reviews work

0 comments
Cite this review

Pith. "Pith review of Computational study of active polar polymer melts: from active reptation to activity induced local alignment." pith.science (2026). https://pith.science/paper/XEJNWES5

@misc{pith2026241111472,
  author       = {Pith},
  title        = {Pith review of: Computational study of active polar polymer melts: from active reptation to activity induced local alignment},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/XEJNWES5}},
  note         = {Machine review of arXiv:2411.11472}
}
read the original abstract

This work investigates the effects of tangent polar activity on the conformational and dynamic properties of entangled polymer melts through Langevin molecular dynamics simulations. We examine systems composed of all self-propelled, monodisperse linear chains, so that constraint release is considered. The range of activities explored here includes values where the active reptation theory is applicable, as well as higher activities that challenge the validity of the theory. Chain conformations exhibit a moderate increase in coil size increase, which becomes more pronounced at higher activity levels. Under these conditions, a local bond alignment along the chain contour appears together with a non-homogeneous segmental stretching, and orientation and stretching of the tube. Dynamically, polar activity induces a molecular-weight-independent diffusion coefficient, a transient superdiffusive behavior, and an end-to-end relaxation time inversely proportional to the molecular weight. Finally, our results are summarized in a diagram that classifies the various regimes of behavior observed in the simulations. Overall, these findings provide valuable insights into the complex interplay between activity and entanglements, advancing our understanding of active polymer systems and their potential applications across various fields.

Figures

Figures reproduced from arXiv: 2411.11472 by the authors.

Figure 1
Figure 1. Schematic depiction of the polar active force applied in our coarse-grained model, [PITH_FULL_IMAGE:figures/full_fig_p009_1.png] view at source ↗
Figure 2
Figure 2. a) End-to-end distance normalized with the equilibrium value, a) as a function [PITH_FULL_IMAGE:figures/full_fig_p013_2.png] view at source ↗
Figure 3
Figure 3. a) Snapshots of polymer conformations with [PITH_FULL_IMAGE:figures/full_fig_p015_3.png] view at source ↗
Figures from the paper (12 more)
Figure 4
Figure 4. Figure 4: a) Normalized average tube length LPP, calculated from Primitive Path Analysis (PPA), as a function of the molecular weight N, for different values of the activity, showing the stretching of the tubes. b) Relative growth of the primitive path length as a function of th…
Figure 1
Figure 1. Figure 1: If the tube is static, the correlation of the tube segment orientation [PITH_FULL_IMAGE:figures/full_fig_p019_1.png]
Figure 5
Figure 5. Figure 5: Orientation correlations of bonds along the primitive path from head to tail, [PITH_FULL_IMAGE:figures/full_fig_p020_5.png]
Figure 6
Figure 6. Figure 6: a) Average order parameter, ⟨p2⟩ as a function of Pem for the molecular weights studied. Snapshots for N = 800 are included as insets, with atoms colored from black (low p2) to red, white and yellow (higher p2). Two snapshots refer to the bond distribution of the compl…
Figure 7
Figure 7. Figure 7: a) Molecular center of mass mean square displacement normalized by time for [PITH_FULL_IMAGE:figures/full_fig_p026_7.png]
Figure 8
Figure 8. Figure 8: (a) Mean-square displacement divided by time (to highlight the terminal Fickian [PITH_FULL_IMAGE:figures/full_fig_p030_8.png]
Figure 9
Figure 9. Figure 9: a) Normalized auto-correlation function of the end-to-end vector for chains of [PITH_FULL_IMAGE:figures/full_fig_p033_9.png]
Figure 10
Figure 10. Figure 10: Tangent-tangent correlation function for chains of [PITH_FULL_IMAGE:figures/full_fig_p036_10.png]
Figure 11
Figure 11. Figure 11: Tangent-tangent correlation function for chains of [PITH_FULL_IMAGE:figures/full_fig_p037_11.png]
Figure 12
Figure 12. Figure 12: Tube segment survival function for chains with [PITH_FULL_IMAGE:figures/full_fig_p038_12.png]
Figure 13
Figure 13. Figure 13: Effect of inertia for chains of N = 200: (a) Diffusion coefficient, (b) bond alignment p2 , (c) normalized end-to-end size, (d) center of mass mean square displace￾ment, (e) monomeric mean square displacement, and (f) end-to-end relaxation. coefficients should be inve…
Figure 14
Figure 14. Figure 14: Phase diagram of active polar linear polymer melts: (a) Diagram showcasing [PITH_FULL_IMAGE:figures/full_fig_p043_14.png]

Discussion (0). Continue with ORCID to comment.

Reference graph

Works this paper leans on

86 extracted references · 59 canonical work pages

  1. [1]

    Bechinger, R

    C. Bechinger, R. Di Leonardo, H. Löwen, C. Reichhardt, G. Volpe, G. Volpe, Active particles in complex and crowded environments, Rev. Mod. Phys. 88 (4) (2016) 045006

  2. [2]

    Gompper, R

    G. Gompper, R. G. Winkler, T. Speck, A. Solon, C. Nardini, F. Peruani, H. Löwen, R. Golestanian, U. B. Kaupp, L. Alvarez, et al., The 2020 47 motile active matter roadmap, Journal of Physics: Condensed Matter 32 (19) (2020) 193001

  3. [3]

    Roca-Bonet, M

    S. Roca-Bonet, M. Wagner, M. Ripoll, Clustering of self-thermophilic asymmetricdimers: therelevanceofhydrodynamics, SoftMatter(2022). doi:https://doi.org/10.1039/D2SM00523A

  4. [4]

    Zöttl, H

    A. Zöttl, H. Stark, Emergent behavior in active colloids, Journal of Physics: Condensed Matter 28 (25) (2016) 253001

  5. [5]

    R. S. Negi, R. G. Winkler, G. Gompper, Emergent collective behavior of active brownian particles with visual perception, Soft Matter 18 (33) (2022) 6167–6178

  6. [6]

    M. F. Hagan, A. Baskaran, Emergent self-organization in active mate- rials, Current opinion in cell biology 38 (2016) 74–80

  7. [7]

    Vicsek, A

    T. Vicsek, A. Zafeiris, Collective motion, Physics Reports 517 (3-4) (2012) 71–140. doi:10.1016/j.physrep.2012.03.004. URL https://doi.org/10.1016%2Fj.physrep.2012.03.004

  8. [8]

    Yildiz, M

    A. Yildiz, M. Tomishige, R. D. Vale, P. R. Selvin, Kinesin walks hand- over-hand, Science 303 (5658) (2004) 676–678

Show all 86 references
  1. [9]

    Molloy, Myosin motors drive long range alignment of actin filaments 2, Journal of Biological Chemistry 285 (7) (2010) 4964–4974

    T.Butt, T.Mufti, A.Humayun, P.B.Rosenthal, S.Khan, S.Khan, J.E. Molloy, Myosin motors drive long range alignment of actin filaments 2, Journal of Biological Chemistry 285 (7) (2010) 4964–4974

  2. [10]

    P. Xu, S. Duan, Z. Xiao, Z. Yang, W. Wang, Light-powered active colloids from monodisperse and highly tunable microspheres with a 48 thin TiO2 shell, Soft Matter 16 (26) (2020) 6082–6090.doi:10.1039/ d0sm00719f. URL https://doi.org/10.1039%2Fd0sm00719f

  3. [11]

    Ghosh, P

    A. Ghosh, P. Fischer, Controlled Propulsion of Artificial Magnetic Nanostructured Propellers, Nano Lett. 9 (6) (2009) 2243–2245. doi: 10.1021/nl900186w

  4. [12]

    Jiang, N

    H.-R. Jiang, N. Yoshinaga, M. Sano, Active Motion of a Janus Particle by Self-Thermophoresis in a Defocused Laser Beam, Phys. Rev. Lett. 105 (26) (2010) 268302.doi:10.1103/PhysRevLett.105.268302

  5. [13]

    R. G. Winkler, G. Gompper, The physics of active polymers and fila- ments, The Journal of Chemical Physics 153 (4) (2020) 040901

  6. [14]

    Nishiguchi, J

    D. Nishiguchi, J. Iwasawa, H.-R. Jiang, M. Sano, Flagellar dynamics of chains of active Janus particles fueled by an AC electric field, New J. Phys. 20 (1) (2018) 015002.doi:10.1088/1367-2630/aa9b48

  7. [15]

    Duclos, R

    G. Duclos, R. Adkins, D. Banerjee, M. S. E. Peterson, M. Varghese, I. Kolvin, A. Baskaran, R. A. Pelcovits, T. R. Powers, A. Baskaran, F.Toschi, M.F. Hagan, S.J. Streichan, V.Vitelli, D. A.Beller, Z. Dogic, Topological structure and dynamics of three-dimensional active nemat- ...

  8. [16]

    G. A. Vliegenthart, A. Ravichandran, M. Ripoll, T. Auth, G. Gompper, Filamentous active matter: Band formation, bending, buckling, and de- fects, Science advances 6 (30) (2020) eaaw9975.doi:10.1126/sciadv. aaw997. 49

  9. [17]

    Martinez-Pedrero, A

    F. Martinez-Pedrero, A. Ortiz-Ambriz, I. Pagonabarraga, P. Tierno, Colloidal Microworms Propelling via a Cooperative Hydrodynamic Con- veyor Belt, Phys. Rev. Lett. 115 (13) (2015) 138301. doi:10.1103/ PhysRevLett.115.138301

  10. [18]

    Jaiswal, M

    S. Jaiswal, M. Ripoll, S. Thakur, Diffusiophoretic Brownian Dynam- ics: Characterization of Hydrodynamic Effects for an Active Chemoat- tractive Polymer, Macromolecules 57 (15) (2024) 6968–6978. doi: 10.1021/acs.macromol.4c00720

  11. [19]

    F. J. Nédélec, T. Surrey, A. C. Maggs, S. Leibler, Self-organization of microtubules and motors, Nature 389 (6648) (1997) 305–308.doi:10. 1038/38532

  12. [20]

    Hirokawa, Y

    N. Hirokawa, Y. Noda, Y. Tanaka, S. Niwa, Kinesin superfamily mo- tor proteins and intracellular transport, Nature reviews Molecular cell biology 10 (10) (2009) 682–696

  13. [21]

    Schaller, C

    V. Schaller, C. Weber, C. Semmrich, E. Frey, A. R. Bausch, Polar pat- terns of driven filaments, Nature 467 (7311) (2010) 73–77

  14. [22]

    C. A. Philipps, G. Gompper, R. G. Winkler, Tangentially driven ac- tive polar linear polymers-an analytical study, The Journal of Chemical Physics (2022)

  15. [23]

    Brahmachari, T

    S. Brahmachari, T. Markovich, F. C. MacKintosh, J. N. Onuchic, Temporally Correlated Active Forces Drive Segregation and Enhanced Dynamics in Chromosome Polymers, PRX Life 2 (3) (2024) 033003. doi:10.1103/PRXLife.2.033003. 50

  16. [24]

    Goychuk, D

    A. Goychuk, D. Kannan, A. K. Chakraborty, M. Kardar, Polymer folding through active processes recreates features of genome organiza- tion, Proceedings of the National Academy of Sciences 120 (20) (2023) e2221726120. doi:10.1073/pnas.2221726120

  17. [25]

    S. K. Anand, S. P. Singh, Conformation and dynamics of a self-avoiding active flexible polymer, Physical Review E 101 (3) (2020) 030501

  18. [26]

    A. R. Tejedor, J. Ramírez, M. Ripoll, Progressive polymer deforma- tion induced by polar activity and the influence of inertia, Phys. Rev. Research 6 (3) (2024) L032002. doi:10.1103/PhysRevResearch.6. L032002

  19. [27]

    Martín-Gómez, D

    A. Martín-Gómez, D. Levis, A. Díaz-Guilera, I. Pagonabarraga, Col- lective motion of active Brownian particles with polar alignment, Soft Matter 14 (14) (2018) 2610–2618.doi:10.1039/C8SM00020D

  20. [28]

    Bianco, E

    V. Bianco, E. Locatelli, P. Malgaretti, Globulelike conformation and enhanced diffusion of active polymers, Physical Review Letters 121 (21) (2018)

  21. [29]

    S. K. Anand, S. P. Singh, Structure and dynamics of a self-propelled semiflexible filament, Physical Review E 98 (4) (2018) 042501

  22. [31]

    Lamura, Excluded volume effects on tangentially driven active ring polymers, Phys

    A. Lamura, Excluded volume effects on tangentially driven active ring polymers, Phys. Rev.E 109 (5) (2024) 054611.doi:10.1103/PhysRevE. 109.054611

  23. [32]

    C. A. Philipps, G. Gompper, R. G. Winkler, Dynamics of active polar ring polymers, Physical Review E 105 (6) (2022) L062501

  24. [33]

    van Steijn, M

    L. van Steijn, M. Fazelzadeh, S. Jabbari-Farouji, Conformation and dynamics of wet tangentially-driven active filaments (2024). arXiv: 2407.17602, doi:10.48550/arXiv.2407.17602

  25. [34]

    Martín-Gómez, G

    A. Martín-Gómez, G. Gompper, R. G. Winkler, Active brownian fila- mentous polymers under shear flow, Polymers 10 (8) (2018) 837

  26. [35]

    Vatin, S

    M. Vatin, S. Kundu, E. Locatelli, Conformation and dynamics of par- tially active linear polymers, Soft Matter 20 (8) (2024) 1892–1904. doi:10.1039/D3SM01162C

  27. [36]

    Fazelzadeh, E

    M. Fazelzadeh, E. Irani, Z. Mokhtari, S. Jabbari-Farouji, Effects of iner- tiaonconformationanddynamicsoftangentiallydrivenactivefilaments, Physical Review E 108 (2) (2023) 024606

  28. [37]

    M. S. E. Peterson, M. F. Hagan, A. Baskaran, Statistical properties of a tangentially driven active filament, J. Stat. Mech. 2020 (1) (2020) 013216. doi:10.1088/1742-5468/ab6097

  29. [38]

    J. R. Howse, R. A. Jones, A. J. Ryan, T. Gough, R. Vafabakhsh, R. Golestanian, Self-motile colloidal particles: from directed propulsion to random walk, Physical review letters 99 (4) (2007) 048102. 52

  30. [39]

    R. E. Isele-Holder, J. Elgeti, G. Gompper, Self-propelled worm-like fil- aments: spontaneous spiral formation, structure, and dynamics, Soft matter 11 (36) (2015) 7181–7190

  31. [40]

    Duman, R

    Ö. Duman, R. E. Isele-Holder, J. Elgeti, G. Gompper, Collective dynam- ics of self-propelled semiflexible filaments, Soft matter 14 (22) (2018) 4483–4494

  32. [41]

    M. A. Ubertini, E. Locatelli, A. Rosa, Universal Time and Length Scales of Polar Active Polymer Melts, ACS Macro Lett. (2024) 1204–1210doi: 10.1021/acsmacrolett.4c00423

  33. [42]

    J. P. Miranda, E. Locatelli, C. Valeriani, Self-Organized States from Solutions of Active Ring Polymers in Bulk and under Confinement, J. Chem. Theory Comput. 20 (4) (2024) 1636–1645. doi:10.1021/acs. jctc.3c00818

  34. [43]

    S. F. Edwards, Statistical mechanics with topological constraints: I, Proceedings of the Physical Society 91 (3) (1967) 513

  35. [44]

    Watanabe, Viscoelasticity and dynamics of entangled polymers, Progress in Polymer Science 24 (9) (1999) 1253–1403

    H. Watanabe, Viscoelasticity and dynamics of entangled polymers, Progress in Polymer Science 24 (9) (1999) 1253–1403

  36. [45]

    McLeish, Tube theory of entangled polymer dynamics, Advances in physics 51 (6) (2002) 1379–1527

    T. McLeish, Tube theory of entangled polymer dynamics, Advances in physics 51 (6) (2002) 1379–1527

  37. [46]

    Rubinstein, R

    M. Rubinstein, R. H. Colby, Polymer Physics, Oxford University Press, Oxford, New York, 2003. 53

  38. [47]

    M. Doi, S. F. Edwards, S. F. Edwards, The theory of polymer dynamics, Vol. 73, oxford university press, 1988

  39. [48]

    Doi, Explanation for the 3.4-power law for viscosity of polymeric liquids on the basis of the tube model, Journal of Polymer Science: Polymer Physics Edition 21 (5) (1983) 667–684

    M. Doi, Explanation for the 3.4-power law for viscosity of polymeric liquids on the basis of the tube model, Journal of Polymer Science: Polymer Physics Edition 21 (5) (1983) 667–684

  40. [49]

    S. T. Milner, T. McLeish, Reptation and Contour-Length Fluctuations in Melts of Linear Polymers, Physical Review Letters 81 (3) (1998) 725–

  41. [50]

    Rubinstein, R

    M. Rubinstein, R. H. Colby, Self-consistent theory of polydisperse en- tangled polymers: Linear viscoelasticity of binary blends, The Journal of chemical physics 89 (8) (1988) 5291–5306

  42. [51]

    S. T. Milner, T. C. B. McLeish, A. E. Likhtman, Microscopic theory of convective constraint release, Journal of Rheology 45 (2) (2001) 539

  43. [52]

    Marrucci, Relaxation by reptation and tube enlargement: A model for polydisperse polymers, J

    G. Marrucci, Relaxation by reptation and tube enlargement: A model for polydisperse polymers, J. Polym. Sci. Polym. Phys. Ed. 23 (1) (1985) 159–177. doi:10.1002/pol.1985.180230115

  44. [53]

    S. T. Milner, T. C. B. McLeish, Parameter-Free Theory for Stress Relax- ation in Star Polymer Melts, Macromolecules 30 (7) (1997) 2159–2166. doi:10.1021/ma961559f

  45. [54]

    A. E. Likhtman, T. C. McLeish, Quantitative theory for linear dynamics of linear entangled polymers, Macromolecules 35 (16) (2002) 6332–6343. 54

  46. [55]

    Watanabe, S

    H. Watanabe, S. Ishida, Y. Matsumiya, T. Inoue, Viscoelastic and Di- electric Behavior of Entangled Blends of Linear Polyisoprenes Having Widely Separated Molecular Weights: Test of Tube Dilation Picture, Macromolecules 37 (5) (2004) 1937–1951.doi:10.1021/ma030443y

  47. [56]

    Watanabe, Y

    H. Watanabe, Y. Matsumiya, T. Inoue, Dielectric and Viscoelastic Relaxation of Highly Entangled Star Polyisoprene: Quantitative Test of Tube Dilation Model, Macromolecules 35 (6) (2002) 2339–2357. doi:10.1021/ma011782z

  48. [57]

    Zamponi, A

    M. Zamponi, A. Wischnewski, M. Monkenbusch, L. Willner, D. Richter, A. E. Likhtman, G. Kali, B. Farago, Molecular Observation of Con- straintReleaseinPolymerMelts, Phys.Rev.Lett.96(23)(2006)238302. doi:10.1103/PhysRevLett.96.238302

  49. [58]

    D. Auhl, J. Ramirez, A. E. Likhtman, P. Chambon, C. Fernyhough, Linear and nonlinear shear flow behavior of monodisperse polyisoprene melts with a large range of molecular weights, Journal of Rheology 52 (3) (2008) 801–835. doi:10.1122/1.2890780

  50. [59]

    A. R. Tejedor, J. Ramírez, Reptation of active entangled polymers, Macromolecules 52 (22) (2019) 8788–8792

  51. [60]

    A. R. Tejedor, J. Ramírez, Dynamics of entangled polymers subjected to reptation and drift, Soft matter 16 (12) (2020) 3154–3168

  52. [61]

    A. R. Tejedor, R. Carracedo, J. Ramírez, Molecular dynamics simula- tions of active entangled polymers reptating through a passive mesh, Polymer 268 (2023) 125677.doi:10.1016/j.polymer.2023.125677. 55

  53. [62]

    Z. Wang, R. G. Larson, Constraint release in entangled binary blends of linear polymers: A molecular dynamics study, Macromolecules 41 (13) (2008) 4945–4960

  54. [63]

    Kremer, G

    K. Kremer, G. S. Grest, Dynamics of entangled linear polymer melts: A molecular-dynamics simulation, The Journal of Chemical Physics 92 (8) (1990) 5057–5086

  55. [64]

    J. D. Weeks, D. Chandler, H. C. Andersen, Role of repulsive forces in determining the equilibrium structure of simple liquids, The Journal of chemical physics 54 (12) (1971) 5237–5247

  56. [65]

    R. B. Bird, C. F. Curtiss, R. C. Armstrong, O. Hassager, Dynamics of polymeric liquids, volume 2: Kinetic theory, Wiley, 1987

  57. [66]

    H. C. Öttinger, Stochastic Processes in Polymeric Fluids: Tools and Examples for Developing Simulation Algorithms, Springer Berlin Hei- delberg, Berlin, Heidelberg, 1996

  58. [67]

    N. G. Van Kampen, Stochastic processes in physics and chemistry, Vol. 1, Elsevier, 1992

  59. [68]

    A. P. Thompson, H. M. Aktulga, R. Berger, D. S. Bolintineanu, W. M. Brown, P. S. Crozier, P. J. in ’t Veld, A. Kohlmeyer, S. G. Moore, T. D. Nguyen, R. Shan, M. J. Stevens, J. Tranchida, C. Trott, S. J. Plimpton, LAMMPS - a flexible simulation tool for particle-based materials...

  60. [69]

    Y. R. Sliozberg, J. W. Andzelm, Fast protocol for equilibration of entan- gled and branched polymer chains, Chemical Physics Letters 523 (2012) 139–143

  61. [70]

    S. K. Sukumaran, G. S. Grest, K. Kremer, R. Everaers, Identifying the primitive path mesh in entangled polymer liquids, Journal of Polymer Science Part B: Polymer Physics 43 (8) (2005) 917–933

  62. [71]

    Everaers, S

    R. Everaers, S. K. Sukumaran, G. S. Grest, C. Svaneborg, A. Sivasub- ramanian, K. Kremer, Rheology and microscopic topology of entangled polymeric liquids, Science 303 (5659) (2004) 823–826

  63. [72]

    Hagita, T

    K. Hagita, T. Murashima, Effect of chain-penetration on ring shape for mixtures of rings and linear polymers, Polymer 218 (2021) 123493. doi:10.1016/j.polymer.2021.123493

  64. [73]

    A. E. Likhtman, S. K. Sukumaran, J. Ramirez, Linear viscoelastic- ity from molecular dynamics simulation of entangled polymers, Macro- molecules 40 (18) (2007) 6748–6757

  65. [74]

    R. S. Graham, A. E. Likhtman, T. C. B. McLeish, S. T. Milner, Micro- scopic theory of linear, entangled polymer chains under rapid deforma- tion including chain stretch and convective constraint release, Journal of Rheology 47 (5) (2003) 1171–1200.doi:10.1122/1.1595099

  66. [75]

    I. C. Gârlea, O. Dammone, J. Alvarado, V. Notenboom, Y. Jia, G. H. Koenderink, D. G. A. L. Aarts, M. P. Lettinga, B. M. Mulder, Colloidal liquid crystals confined to synthetic tactoids. 57 https://doi.org/10.1038/s41598-019-56729-9, Sci. Rep. 9 (2019) 20391. doi:https://doi.or...

  67. [76]

    Kuhnhold, P

    A. Kuhnhold, P. van der Schoot, Structure of nematic tactoids of hard rods, J. Chem. Phys. 156 (2022) 104501. doi:https://doi.org/10. 1063/5.0078056

  68. [77]

    Huepe, M

    C. Huepe, M. Aldana, Intermittency and Clustering in a System of Self- Driven Particles, Phys. Rev. Lett. 92 (16) (2004) 168701.doi:10.1103/ PhysRevLett.92.168701

  69. [78]

    Levis, L

    D. Levis, L. Berthier, Clustering and heterogeneous dynamics in a ki- neticMonteCarlomodelofself-propelledharddisks, Phys.Rev.E89(6) (2014) 062301. doi:10.1103/PhysRevE.89.062301

  70. [79]

    Peruani, A

    F. Peruani, A. Deutsch, M. Bär, Nonequilibrium clustering of self- propelled rods, Phys. Rev. E 74 (3) (2006) 030904. doi:10.1103/ PhysRevE.74.030904

  71. [80]

    Ramírez, S

    J. Ramírez, S. K. Sukumaran, B. Vorselaars, A. E. Likhtman, Efficient on the fly calculation of time correlation functions in computer simula- tions, The Journal of chemical physics 133 (15) (2010) 154103

  72. [81]

    W. Li, P. K. Jana, A. F. Behbahani, G. Kritikos, L. Schneider, P. Polińska, C. Burkhart, V. A. Harmandaris, M. Müller, M. Doxas- takis, Dynamics of Long Entangled Polyisoprene Meltsvia Multiscale Modeling, Macromolecules 54 (18) (2021) 8693–8713. doi:10.1021/ acs.macromol.1c01376. 58

  73. [82]

    C. B. Gell, W. W. Graessley, L. J. Fetters, Viscoelasticity and self-diffusion in melts of entangled linear polymers, J. Polym. Sci. B Polym. Phys. 35 (12) (1997) 1933–1942. doi:10.1002/(SICI) 1099-0488(19970915)35:12<1933::AID-POLB8>3.0.CO;2-Q

  74. [83]

    Van Ruymbeke, Y

    E. Van Ruymbeke, Y. Masubuchi, H. Watanabe, Effective Value of the Dynamic Dilution Exponent in Bidisperse Linear Polymers: From 1 to 4/3, Macromolecules 45 (4) (2012) 2085–2098. doi:10.1021/ ma202167q

  75. [84]

    Watanabe, O

    H. Watanabe, O. Urakawa, T. Kotaka, Slow dielectric relaxation of en- tangled linear cis-polyisoprenes with asymmetrically inverted dipoles. 2. behavior in a short matrix, Macromolecules 27 (13) (1994) 3525–3536

  76. [85]

    Watanabe, Y

    H. Watanabe, Y. Matsumiya, T. Inoue, Dielectric and viscoelastic study of entanglement dynamics: A review of recent findings, Macromolecular Symposia 228 (1) (2005) 51–70

  77. [86]

    J. S. Centre, Journal of large-scale research facilities 7 (2018) A182. doi:10.17815/jlsrf-7-182. 59

  78. [728]

    doi:10.1103/physrevlett.81.725

Pith tools

Reviewed August 12, 2026 · model on record in the stance chip above.