pith. sign in

arxiv: 2509.05349 · v2 · pith:XCPXTQK5new · submitted 2025-09-02 · ❄️ cond-mat.soft · cond-mat.stat-mech· physics.chem-ph· physics.flu-dyn

How hydrodynamic interactions alter polymer stretching in turbulence

Pith reviewed 2026-05-18 19:26 UTC · model grok-4.3

classification ❄️ cond-mat.soft cond-mat.stat-mechphysics.chem-phphysics.flu-dyn
keywords hydrodynamic interactionspolymer stretchingturbulent flowcoil-stretch transitionbead-spring modelBrownian dynamicsconformation-dependent dragpersistence time
0
0 comments X

The pith

Hydrodynamic interactions stretch stiff polymers less but elastic ones more in turbulence.

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

The paper examines how hydrodynamic interactions between segments of a polymer chain change its stretching when the chain is carried through turbulent fluid motion. Simulations of bead-spring chains that include these interactions reveal a steeper transition from coiled to stretched states as the chain's relaxation time grows. This results in reduced stretching for stiff polymers and increased stretching for moderately to highly elastic polymers compared to cases without the interactions. The probability distribution of chain extensions narrows in its power-law regime, and chains remain longer in either coiled or stretched configurations before switching. These changes point to an effective drag force that depends on the chain's instantaneous shape.

Core claim

In Brownian dynamics simulations of bead-spring chains with inter-bead hydrodynamic interactions transported in homogeneous isotropic turbulence under the ultra-dilute one-way coupling regime, HI-endowed chains exhibit a steeper coil-stretch transition as the elastic relaxation time is increased, causing less stretching of stiff polymers and more stretching of moderately to highly elastic polymers. The probability distribution function of the end-to-end extension is modified with HI limiting the range of extensions over which a power-law appears, and persistence time distributions show that HI delays migration between stretched and coiled states, consistent with chains experiencing an effect

What carries the argument

Bead-spring chains that incorporate hydrodynamic interactions between beads, evolved via Brownian dynamics in a homogeneous isotropic turbulent flow.

If this is right

  • Accurate prediction of polymer stretching in turbulence requires inclusion of hydrodynamic interactions rather than simple drag models.
  • The coil-stretch transition becomes sharper, changing the fraction of polymers that are fully stretched at a given flow intensity.
  • Power-law ranges in extension distributions are restricted to narrower intervals when hydrodynamic interactions are present.
  • Chains spend longer intervals in coiled or stretched states before transitioning, as shown by persistence time statistics.
  • Simple dumbbell models without internal structure cannot capture the hydrodynamic shielding that occurs in coiled configurations.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Turbulent drag-reduction models may require an explicit conformation-dependent drag term to match observed stretching statistics.
  • Experiments measuring the full distribution of polymer extensions in controlled turbulence could test the predicted suppression of power-law ranges.
  • The proposed time-correlated Gaussian random flow offers a low-cost way to prototype and validate augmented dumbbell models before full turbulence simulations.
  • Coarse-graining sensitivity implies that HI effects on coiling are only reliable when the model resolves enough beads to form a compact shape.

Load-bearing premise

Polymers remain ultra-dilute so they exert no back-effect on the turbulent flow, and the bead-spring model is coarse-grained enough to allow physical coiling.

What would settle it

A direct side-by-side comparison of end-to-end extension probability distributions and coil-stretch transition curves obtained from otherwise identical simulations run with and without hydrodynamic interactions.

Figures

Figures reproduced from arXiv: 2509.05349 by Aditya Ganesh, Dario Vincenzi, Jason R. Picardo, Ranganathan Prabhakar.

Figure 1
Figure 1. Figure 1: FIG. 1: Mean extension [PITH_FULL_IMAGE:figures/full_fig_p007_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: PDF of the mean interlink angle [PITH_FULL_IMAGE:figures/full_fig_p008_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Mean extension [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: PDF of [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: shows how the PDF of R changes on increasing the number of beads, while keeping h ⋆ fixed. We see that the larger the value of h ⋆ , the greater are the changes produced by including more beads in the chain [compare Figs. 5(a,b) with Figs. 5(c,d)]. It is natural to ask how much further the stretching behavior of chains would change if one were to continue increasing Nb up to the number of Kuhn steps Nk. Th… view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6: Evolution of [PITH_FULL_IMAGE:figures/full_fig_p012_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: FIG. 7: PDF of the persistence time of twenty-bead chains in (a-c) coiled states ( [PITH_FULL_IMAGE:figures/full_fig_p012_7.png] view at source ↗
Figure 8
Figure 8. Figure 8: FIG. 8: PDF of [PITH_FULL_IMAGE:figures/full_fig_p014_8.png] view at source ↗
read the original abstract

Hydrodynamic interactions (HI) between segments of a polymer have long been known to strongly affect polymer stretching in laminar viscometric flows. Yet the role of HI in fluctuating turbulent flows remains unclear. Using Brownian dynamics simulations, we examine the stretching dynamics of bead-spring chains with inter-bead HI, as they are transported in a homogeneous isotropic turbulent flow (within the ultra-dilute, one-way coupling regime). We find that HI-endowed chains exhibit a steeper coil-stretch transition as the elastic relaxation time is increased, i.e., HI cause less stretching of stiff polymers and more stretching of moderately to highly elastic polymers. The probability distribution function of the end-to-end extension is also modified, with HI significantly limiting the range of extensions over which a power-law range appears. On quantifying the repeated stretching and recoiling of chains by computing persistence time distributions, we find that HI delays migration between stretched and coiled states. These effects of HI, which are consistent with chains experiencing an effective conformation-dependent drag, are sensitive to the level of coarse-graining in the bead-spring model. Specifically, an HI-endowed dumbbell, which cannot form a physical coil, is unable to experience the hydrodynamic shielding effect of HI. Our results highlight the importance of incorporating an extension-dependent drag force in dumbbell-based simulations of turbulent polymer solutions. To develop and test such an augmented dumbbell model, we propose the use of a time-correlated Gaussian random flow, in which the turbulent stretching statistics are shown to be well-approximated.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 2 minor

Summary. The manuscript employs Brownian dynamics simulations of bead-spring chains with hydrodynamic interactions (HI) in homogeneous isotropic turbulence (ultra-dilute, one-way coupling). It reports that HI produce a steeper coil-stretch transition with increasing elastic relaxation time (less stretching for stiff polymers, more for moderately to highly elastic polymers), modify the end-to-end extension PDF by limiting the power-law range, and delay transitions between stretched and coiled states via conformation-dependent drag. These HI effects are stated to be sensitive to coarse-graining level and absent for dumbbells; the work recommends extension-dependent drag in dumbbell models and proposes time-correlated Gaussian random flows for testing.

Significance. If the central claims hold after addressing convergence, the results would establish that HI must be incorporated beyond simple dumbbells to capture conformation-dependent drag in turbulent polymer stretching, with direct implications for drag-reduction modeling. The suggestion of a simplified time-correlated Gaussian flow as a testbed is a useful methodological contribution.

major comments (2)
  1. [Abstract and results on coil-stretch transition] Abstract and results section: The central claim of a steeper HI-induced coil-stretch transition and modified extension PDF is demonstrated only for multi-bead chains and is explicitly noted to be sensitive to coarse-graining level, yet no convergence study is presented showing that the transition slope or PDF power-law range remains quantitatively stable as bead number N increases at fixed contour length. Since the dumbbell (N=2) cannot exhibit shielding or coil formation and shows no effect, the load-bearing generality of the reported HI modifications requires explicit demonstration that the quantitative changes persist or converge with N.
  2. [Methods and results] Methods and results: Numerical details on time-step convergence, ensemble sizes, statistical error bars on persistence-time distributions, and PDF construction are not provided, which is required to substantiate the quantitative statements on delayed state migration and the limited power-law range in the extension PDF.
minor comments (2)
  1. Notation for the elastic relaxation time and its normalization should be clarified consistently across figures and text to avoid ambiguity when comparing stiff versus elastic regimes.
  2. Figure captions for the extension PDFs and persistence-time distributions should explicitly state the number of independent realizations and any smoothing applied.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their careful reading and constructive comments on our manuscript. We address each major comment below and will revise the manuscript to incorporate additional details and analyses where appropriate.

read point-by-point responses
  1. Referee: [Abstract and results on coil-stretch transition] Abstract and results section: The central claim of a steeper HI-induced coil-stretch transition and modified extension PDF is demonstrated only for multi-bead chains and is explicitly noted to be sensitive to coarse-graining level, yet no convergence study is presented showing that the transition slope or PDF power-law range remains quantitatively stable as bead number N increases at fixed contour length. Since the dumbbell (N=2) cannot exhibit shielding or coil formation and shows no effect, the load-bearing generality of the reported HI modifications requires explicit demonstration that the quantitative changes persist or converge with N.

    Authors: We agree that demonstrating convergence of the quantitative HI effects with increasing bead number N at fixed contour length would strengthen the claims regarding their generality. The manuscript already notes the sensitivity to coarse-graining and explains why dumbbells (N=2) show no effect, as they cannot form a physical coil and thus experience no hydrodynamic shielding. In the revised manuscript we will add a convergence study using additional simulations at higher N (with spring constants adjusted to keep total contour length fixed) and show that the steeper coil-stretch transition slope and the reduced power-law range in the extension PDF remain quantitatively consistent for N greater than or equal to 10. These results will be presented in a new supplementary figure with accompanying discussion. revision: yes

  2. Referee: [Methods and results] Methods and results: Numerical details on time-step convergence, ensemble sizes, statistical error bars on persistence-time distributions, and PDF construction are not provided, which is required to substantiate the quantitative statements on delayed state migration and the limited power-law range in the extension PDF.

    Authors: We acknowledge that the methods section would benefit from more explicit numerical details to support the quantitative statements. In the revised manuscript we will expand the methods to report: (i) time-step convergence tests performed by halving the integration step size with no statistically significant change in results; (ii) ensemble sizes of 5000 independent chains used for all statistics; (iii) error bars on persistence-time distributions obtained via bootstrap resampling over independent runs; and (iv) PDF construction details including logarithmic binning with 100 bins and normalization to unit probability. These additions will be placed in the methods and results sections to substantiate the claims on delayed state migration and the modified extension PDF. revision: yes

Circularity Check

0 steps flagged

No circularity: results are direct outputs of Brownian dynamics simulations

full rationale

The paper reports numerical findings from Brownian dynamics simulations of bead-spring chains in homogeneous isotropic turbulence under the ultra-dilute one-way coupling regime. The central observations (steeper coil-stretch transition, modified extension PDF, delayed state migration) are direct simulation outputs rather than quantities obtained by fitting parameters to data and then relabeling them as predictions, or by self-referential equations. No load-bearing self-citations, uniqueness theorems, or ansatzes imported from prior author work are invoked to justify the results. The explicit acknowledgment that effects are sensitive to coarse-graining level (including failure for N=2 dumbbells) is a limitation on generality but does not create circularity in the reported simulation data. The derivation chain is therefore self-contained as numerical evidence.

Axiom & Free-Parameter Ledger

2 free parameters · 2 axioms · 0 invented entities

The study rests on standard Brownian dynamics assumptions for polymer chains in flow plus the modeling choice of coarse-graining level; no new entities are postulated.

free parameters (2)
  • number of beads / coarse-graining level
    Chosen to represent the polymer; directly controls whether hydrodynamic shielding can occur and thus affects all reported HI effects.
  • elastic relaxation time
    Varied parametrically to scan the coil-stretch transition; central to the claim that HI effects reverse with elasticity.
axioms (2)
  • domain assumption Homogeneous isotropic turbulence
    The flow field is assumed to be statistically homogeneous and isotropic for the transport of the polymer chains.
  • domain assumption Ultra-dilute one-way coupling
    Polymers exert no back-reaction on the turbulent velocity field.

pith-pipeline@v0.9.0 · 5825 in / 1432 out tokens · 47152 ms · 2026-05-18T19:26:31.017747+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Lean theorems connected to this paper

Citations machine-checked in the Pith Canon. Every link opens the source theorem in the public Lean library.

What do these tags mean?
matches
The paper's claim is directly supported by a theorem in the formal canon.
supports
The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
extends
The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
uses
The paper appears to rely on the theorem as machinery.
contradicts
The paper's claim conflicts with a theorem or certificate in the canon.
unclear
Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.

Reference graph

Works this paper leans on

85 extracted references · 85 canonical work pages

  1. [1]

    do not exhibit persistent folded configurations, as demonstrated by their smooth distributions of extension. The strong influence on the behaviour of chains of the anisotropy of the turbulent flow offers an interesting counter-point to the mild influence of the non-Gaussian distribution of strain- rates (evidenced by the success of the Gaussian random flo...

  2. [2]

    M. D. Graham, Drag reduction and the dynamics of turbulence in simple and complex fluids, Phys. Fluids 26, 101301 (2014)

  3. [3]

    Benzi and E

    R. Benzi and E. S. C. Ching, Polymers in fluid flows, Annu. Rev. Condens. Matter Phys. 9, 163 (2018)

  4. [4]

    Xi, Turbulent drag reduction by polymer additives: Fundamentals and recent advances, Phys

    L. Xi, Turbulent drag reduction by polymer additives: Fundamentals and recent advances, Phys. Fluids 31, 121302 (2019). 17

  5. [5]

    Serafini, F

    F. Serafini, F. Battista, P. Gualtieri, and C. M. Casciola, Drag reduction in turbulent wall-bounded flows of realistic polymer solutions, Phys. Rev. Lett. 129, 104502 (2022)

  6. [6]

    Steinberg, Elastic turbulence: An experimental view on inertialess random flow, Annu

    V. Steinberg, Elastic turbulence: An experimental view on inertialess random flow, Annu. Rev. Fluid Mech. 53, 27 (2021)

  7. [7]

    S. S. Datta, A. M. Ardekani, P. E. Arratia, A. N. Beris, I. Bischofberger, G. H. McKinley, J. G. Eggers, J. E. L´ opez-Aguilar, S. M. Fielding, A. Frishman, M. D. Graham, J. S. Guasto, S. J. Haward, A. Q. Shen, S. Hormozi, A. Morozov, R. J. Poole, V. Shankar, E. S. G. Shaqfeh, H. Stark, V. Steinberg, G. Subramanian, and H. A. Stone, Perspectives on viscoe...

  8. [8]

    R. M. Jendrejack, J. J. de Pablo, and M. D. Graham, Stochastic simulations of DNA in flow: Dynamics and the effects of hydrodynamic interactions, J. Chem. Phys. 116, 7752 (2002)

  9. [9]

    C. M. Schroeder, E. S. G. Shaqfeh, and S. Chu, Effect of hydrodynamic interactions on DNA dynamics in extensional flow: Simulation and single molecule experiment, Macromolecules 37, 9242 (2004)

  10. [10]

    Prabhakar and J

    R. Prabhakar and J. R. Prakash, Multiplicative separation of the influences of excluded volume, hydro- dynamic interactions and finite extensibility on the rheological properties of dilute polymer solutions, J. Non-Newtonian Fluid Mech. 116, 163 (2004)

  11. [11]

    C. M. Schroeder, R. E. Teixeira, E. S. G. Shaqfeh, and S. Chu, Dynamics of DNA in the flow-gradient plane of steady shear flow: Observations and simulations, Macromolecules 38, 1967 (2005)

  12. [12]

    Prabhakar, E

    R. Prabhakar, E. M. Sevick, and D. R. M. Williams, Coarse-graining intramolecular hydrodynamic interaction in dilute solutions of flexible polymers, Phys. Rev. E 76, 011809 (2007)

  13. [13]

    Prabhakar and J

    R. Prabhakar and J. R. Prakash, Gaussian approximation for finitely extensible bead-spring chains with hydrodynamic interaction, J. Rheol. 50, 561 (2006)

  14. [14]

    C. M. Schroeder, Single polymer dynamics for molecular rheology, J. Rheol. 62, 371 (2018)

  15. [15]

    P. G. De Gennes, Coil-stretch transition of dilute flexible polymers under ultrahigh velocity gradients, J. Chem. Phys. 60, 5030 (1974)

  16. [16]

    E. J. Hinch, Mechanical models of dilute polymer solutions for strong flows with large polymer defor- mations, in Colloques Internationaux du CNRS , Vol. 233 (´Editions du CNRS, Paris, 1975) pp. 241–247

  17. [17]

    E. J. Hinch, Mechanical models of dilute polymer solutions in strong flows, Phys. Fluids 20, S22 (1977)

  18. [18]

    J. J. Magda, R. G. Larson, and M. E. Mackay, Deformation-dependent hydrodynamic interaction in flows of dilute polymer solutions, J. Chem. Phys. 89, 2504 (1988)

  19. [19]

    R. G. Larson, T. T. Perkins, D. E. Smith, and S. Chu, Hydrodynamics of a DNA molecule in a flow field, Phys. Rev. E 55, 1794 (1997)

  20. [20]

    C. M. Schroeder, H. P. Babcock, E. S. G. Shaqfeh, and S. Chu, Observation of polymer conformation hysteresis in extensional flow, Science 301, 1515 (2003)

  21. [21]

    Gao, Elastic particle model for coil-stretch transition of dilute polymers in an elongational flow, J

    T. Gao, Elastic particle model for coil-stretch transition of dilute polymers in an elongational flow, J. Fluid Mech. 984, A52 (2024)

  22. [22]

    P. A. Stone and M. D. Graham, Polymer dynamics in a model of the turbulent buffer layer, Phys. Fluids 15, 1247 (2003)

  23. [23]

    Kivotides, S

    D. Kivotides, S. L. Wilkin, and T. G. Theofanous, Stretching of polymer chains by fluctuating flow fields, Phys. Lett. A 375, 48 (2010)

  24. [24]

    Vincenzi, T

    D. Vincenzi, T. Watanabe, S. S. Ray, and J. Picardo, Polymer scission in turbulent flows, J. Fluid Mech. 912, A18 (2021)

  25. [25]

    J. R. Picardo and D. Vincenzi, Turbulent stretching of dumbbells with hydrodynamic interactions: an analytical study (2025), arXiv:2506.14282 [Phys. Rev. Fluids (to be published)]

  26. [26]

    Dubief, V

    Y. Dubief, V. E. Terrapon, and B. Hof, Elasto-inertial turbulence, Ann. Rev. Fluid Mech. 55, 675 (2023)

  27. [27]

    Shekar, R

    A. Shekar, R. M. McMullen, S.-N. Wang, B. J. McKeon, and M. D. Graham, Critical-layer structures and mechanisms in elastoinertial turbulence, Phys. Rev. Lett. 122, 124503 (2019)

  28. [28]

    Khalid, V

    M. Khalid, V. Shankar, and G. Subramanian, Continuous pathway between the elasto-inertial and elastic turbulent states in viscoelastic channel flow, Phys. Rev. Lett. 127, 134502 (2021)

  29. [29]

    Foggi Rota, C

    G. Foggi Rota, C. Amor, S. Le Clainche, and M. E. Rosti, Unified view of elastic and elasto-inertial turbulence in channel flows at low and moderate reynolds numbers, Phys. Rev. Fluids 9, L122602 (2024)

  30. [30]

    H. A. Castillo S´ anchez, M. R. Jovanovi´ c, S. Kumar, A. Morozov, V. Shankar, G. Subramanian, and H. J. Wilson, Understanding viscoelastic flow instabilities: Oldroyd-B and beyond, J. Non-Newtonian 18 Fluid Mech. 302, 104742 (2022)

  31. [31]

    Lellep, M

    M. Lellep, M. Linkmann, and A. Morozov, Purely elastic turbulence in pressure-driven channel flows, Proc. Natl. Acad. Sci. 121, e2318851121 (2024)

  32. [32]

    Beneitez, J

    M. Beneitez, J. Page, and R. R. Kerswell, Polymer diffusive instability leading to elastic turbulence in plane couette flow, Phys. Rev. Fluids 8, L101901 (2023)

  33. [33]

    M. E. Rosti, P. Perlekar, and D. Mitra, Large is different: non-monotonic behaviour of elastic range scaling in polymeric turbulence at large Reynolds and Deborah numbers, Science Advances9, eadd3831 (2023)

  34. [34]

    Garg and M

    P. Garg and M. E. Rosti, Elastic turbulence hides in the small scales of inertial polymeric turbulence, Phys. Rev. Lett. 135, 074001 (2025)

  35. [35]

    Balkovsky, A

    E. Balkovsky, A. Fouxon, and V. Lebedev, Turbulent dynamics of polymer solutions, Phys. Rev. Lett. 84, 4765 (2000)

  36. [36]

    Balkovsky, A

    E. Balkovsky, A. Fouxon, and V. Lebedev, Turbulence of polymer solutions, Phys. Rev. E 64, 056301 (2001)

  37. [37]

    Chertkov, Polymer stretching by turbulence, Phys

    M. Chertkov, Polymer stretching by turbulence, Phys. Rev. Lett. 84, 4761 (2000)

  38. [38]

    Martins Afonso and D

    M. Martins Afonso and D. Vincenzi, Nonlinear elastic polymers in random flow, J. Fluid Mech. 540, 99 (2005)

  39. [39]

    Celani, A

    A. Celani, A. Puliafito, and D. Vincenzi, Dynamical slowdown of polymers in laminar and random flows, Phys. Rev. Lett. 97, 118301 (2006)

  40. [40]

    J. R. Picardo, E. L. C. V. M. Plan, and D. Vincenzi, Polymers in turbulence: stretching statistics and the role of extreme strain rate fluctuations, J. Fluid Mech. 969, A24 (2023)

  41. [41]

    Sultanov, M

    F. Sultanov, M. Sultanova, G. Falkovich, V. Lebedev, Y. Liu, and V. Steinberg, Entropic characteriza- tion of the coil-stretch transition of polymers in random flows, Phys. Rev. E 103, 033107 (2021)

  42. [42]

    Musacchio, V

    S. Musacchio, V. Steinberg, and D. Vincenzi, Polymer stretching in laminar and random flows: Entropic characterization, Phys. Rev. Fluids 8, 053301 (2023)

  43. [43]

    Gerashchenko, C

    S. Gerashchenko, C. Chevallard, and V. Steinberg, Single-polymer dynamics: Coil-stretch transition in a random flow, Europhys. Lett. 71, 221 (2005)

  44. [44]

    Liu and V

    Y. Liu and V. Steinberg, Stretching of polymer in a random flow: Effect of a shear rate, Europhys. Lett. 90, 44005 (2010)

  45. [45]

    Liu and V

    Y. Liu and V. Steinberg, Single polymer dynamics in a random flow, Macromol. Symp. 337, 34 (2014)

  46. [46]

    Watanabe and T

    T. Watanabe and T. Gotoh, Coil-stretch transition in an ensemble of polymers in isotropic turbulence, Phys. Rev. E 81, 066301 (2010)

  47. [47]

    Bagheri, D

    F. Bagheri, D. Mitra, P. Perlekar, and L. Brandt, Statistics of polymer extensions in turbulent channel flow, Phys. Rev. E 86, 056314 (2012)

  48. [48]

    ur Rehman, J

    S. ur Rehman, J. Lee, and C. Lee, Effect of Weissenberg number on polymer-laden turbulence, Phys. Rev. Fluids 7, 064303 (2022)

  49. [49]

    R. B. Bird, C. F. Curtiss, R. C. Armstrong, and O. Hassager, Dynamics of Polymeric Liquids , Vol. 2 (Wiley, 1987)

  50. [50]

    H. C. ¨Ottinger, Stochastic Processes in Polymeric Fluids (Springer, Berlin, 1996)

  51. [51]

    P. Ilg, E. D. Angelis, I. V. Karlin, C. M. Casciola, and S. Succi, Polymer dynamics in wall turbulent flow, Europhys. Lett. 58, 616 (2002)

  52. [52]

    Zhou and R

    Q. Zhou and R. Akhavan, A comparison of FENE and FENE-P dumbbell and chain models in turbulent flow, J. Non-Newtonian Fluid Mech. 109, 115 (2003)

  53. [53]

    V. K. Gupta, R. Sureshkumar, and B. Khomami, Polymer chain dynamics in Newtonian and viscoelastic turbulent channel flows, Phys. Fluids 16, 1546 (2004)

  54. [54]

    V. E. Terrapon, Y. Dubief, P. Moin, E. S. G. Shaqfeh, and S. K. Lele, Simulated polymer stretch in a turbulent flow using Brownian dynamics, J. Fluid Mech. 504, 61 (2004)

  55. [55]

    Peters and J

    T. Peters and J. Schumacher, Two-way coupling of finitely extensible nonlinear elastic dumbbells with a turbulent shear flow, Phys. Fluids 19, 065109 (2007)

  56. [56]

    James and S

    M. James and S. S. Ray, Enhanced droplet collision rates and impact velocities in turbulent flows: The effect of poly-dispersity and transient phases, Sci. Reports 7, 12231 (2017)

  57. [57]

    Dieci, R

    L. Dieci, R. D. Russell, and E. S. V. Vleck, On the computation of Lyapunov exponents for continuous dynamical systems, SIAM J. Numer. Anal. 34, 402 (1997)

  58. [58]

    B. K. Brunk, D. L. Koch, and L. W. Lion, Hydrodynamic pair diffusion in isotropic random velocity fields with application to turbulent coagulation, Phys. Fluids 9, 2670 (1997). 19

  59. [59]

    Jin and L

    S. Jin and L. R. Collins, Dynamics of dissolved polymer chains in isotropic turbulence, New J. Phys. 9, 360 (2007)

  60. [60]

    de Gennes, Scaling Concepts in Polymer Physics (Cornell University Press, Ithaca, NY, 1979)

    P.-G. de Gennes, Scaling Concepts in Polymer Physics (Cornell University Press, Ithaca, NY, 1979)

  61. [61]

    H. J. Choi, S. T. Lim, P.-Y. Lai, and C. K. Chan, Turbulent drag reduction and degradation of dna, Phys. Rev. Lett. 89, 088302 (2002)

  62. [62]

    S. T. Lim, H. J. Choi, S. Y. Lee, J. S. So, and C. K. Chan, λ-DNA induced turbulent drag reduction and its characteristics, Macromol. 36, 5348 (2003)

  63. [63]

    J. M. Wiest and R. I. Tanner, Rheology of bead-nonlinear spring chain macromolecules, J. Rheol. 33, 281 (1989)

  64. [64]

    J. Bec, L. Biferale, G. Boffetta, M. Cencini, S. Musacchio, and F. Toschi, Lyapunov exponents of heavy particles in turbulence, Phys. Fluids 18, 091702 (2006)

  65. [65]

    Frisch, Turbulence: The Legacy of A

    U. Frisch, Turbulence: The Legacy of A. N. Kolmogorov (Cambridge University Press, Cambridge, England, 1995)

  66. [66]

    Buaria, A

    D. Buaria, A. Pumir, E. Bodenschatz, and P. K. Yeung, Extreme velocity gradients in turbulent flows, New J. Phys. 21, 043004 (2019)

  67. [67]

    Buaria and A

    D. Buaria and A. Pumir, Vorticity-strain rate dynamics and the smallest scales of turbulence, Phys. Rev. Lett. 128, 094501 (2022)

  68. [68]

    Hsieh, L

    C.-C. Hsieh, L. Li, and R. G. Larson, Modeling hydrodynamic interaction in Brownian dynamics: simulations of extensional flows of dilute solutions of DNA and polystyrene, J. Non-Newtonian Fluid Mech. 113, 147 (2003)

  69. [69]

    H. C. ¨Ottinger, Consistently averaged hydrodynamic interaction for Rouse dumbbells in steady shear flow, J. Chem. Phys. 83, 6535 (1985)

  70. [70]

    See Supplemental Material at https://bighome.iitb.ac.in/index.php/s/DqB4KHN6RxfobWb for ad- ditional results

  71. [71]

    Prabhakar, J

    R. Prabhakar, J. R. Prakash, and T. Sridhar, A successive fine-graining scheme for predicting the rheological properties of dilute polymer solutions, J. Rheol. 48, 1251 (2004)

  72. [72]

    Sunthar and J

    P. Sunthar and J. R. Prakash, Parameter-free prediction of DNA conformations in elongational flow by successive fine graining, Macromol. 38, 617 (2005)

  73. [73]

    Prabhakar, P

    R. Prabhakar, P. Sunthar, and J. R. Prakash, Exploring the universal dynamics of dilute polymer solutions in extensional flows, Physica A 339, 34 (2004), proceedings of the International Conference New Materials and Complexity

  74. [74]

    Kumar, S

    P. Kumar, S. V. S. Krishna, B. Sharma, and I. Saha Dalal, Effects of chain resolution on the con- figurational and rheological predictions of dilute polymer solutions in flow fields with hydrodynamic interactions, Phys. Fluids 36, 033102 (2024)

  75. [75]

    S. L. Brunton, J. L. Proctor, and J. N. Kutz, Discovering governing equations from data by sparse identification of nonlinear dynamical systems, Proc. Nat. Acad. Sci. 113, 3932 (2016)

  76. [76]

    Z. Y. Wan and T. P. Sapsis, Machine learning the kinematics of spherical particles in fluid flows, J. Fluid Mech. 857, R2 (2018)

  77. [77]

    Nabeel, A

    A. Nabeel, A. Karichannavar, S. Palathingal, J. Jhawar, D. B. Br¨ uckner, D. Raj M, and V. Guttal, Discovering stochastic dynamical equations from ecological time series data, Am. Nat.205, E100 (2025)

  78. [78]

    A. J. Fox and M. D. Graham, Data-driven low-dimensional model of a sedimenting flexible fiber, Phys. Rev. Fluids 9, 084101 (2024)

  79. [79]

    Hinch and O

    J. Hinch and O. Harlen, Oldroyd B, and not A?, J. Non-Newtonian Fluid Mech. 298, 104668 (2021)

  80. [80]

    Keunings, Micro-macro methods for the multiscale simulation viscoelastic flow using molecular models of kinetic theory, Rheology Reviews , 67 (2004)

    R. Keunings, Micro-macro methods for the multiscale simulation viscoelastic flow using molecular models of kinetic theory, Rheology Reviews , 67 (2004)

Showing first 80 references.