pith. sign in

arxiv: 1907.11660 · v1 · pith:XSADS5LYnew · submitted 2019-07-26 · ⚛️ physics.chem-ph · cond-mat.mes-hall· physics.comp-ph

Role of coherence in the plasmonic control of molecular absorption

Emanuele Coccia , Stefano Corni This is my paper

Pith reviewed 2026-05-24 15:03 UTC · model grok-4.3

classification ⚛️ physics.chem-ph cond-mat.mes-hallphysics.comp-ph
keywords plasmonicsmolecular absorptiondecoherencenanoplasmonicsmetal nanoparticlesenvironment-induced dephasingmultiscale modeling
0
0 comments X

The pith

Molecular electronic decoherence can switch metal-nanoparticle effects on nearby-molecule absorption from enhancement to suppression.

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

The paper tests whether nanoplasmonic control of molecular light absorption can be understood under the usual assumption of full quantum coherence. It applies a multiscale model that incorporates environment-induced dephasing and finds that the presence of decoherence alters the absorption changes produced by a nearby metal nanoparticle, sometimes reversing the direction of the effect. A reader would care because this implies that standard coherent pictures may miss essential qualitative behavior in real molecular-nanoparticle systems. The authors conclude that decoherence therefore functions as an additional design variable rather than an unwanted complication.

Core claim

Using a state-of-the-art multiscale model approach able to include environment-induced dephasing, the authors show that metal nanoparticle effects on the light absorption by a nearby molecule is strongly affected (even qualitatively, i.e., suppression vs enhancement) by molecular electronic decoherence. The present work shows that decoherence can be thought as a further design element of molecular nanoplasmonic systems.

What carries the argument

Multiscale model that incorporates environment-induced dephasing to compute plasmonic modification of molecular absorption spectra.

If this is right

  • Interpretations of metal-enhanced absorption or fluorescence must incorporate decoherence when the molecular environment induces significant dephasing.
  • Nanoplasmonic device design gains decoherence rate as a tunable parameter that can be used to achieve either enhancement or suppression.
  • Conditions that increase molecular electronic decoherence will produce absorption spectra that deviate from fully coherent predictions.
  • The coherent picture of plasmon-molecule coupling breaks down under realistic dephasing, requiring separate modeling for accurate spectra.

Where Pith is reading between the lines

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

  • In biological or solution environments where dephasing is strong, plasmonic control of molecular absorption may routinely operate in the suppression regime rather than the enhancement regime assumed in vacuum models.
  • Experiments that vary temperature or solvent viscosity to change dephasing rates could directly map the transition between coherent and decoherent regimes.
  • The finding raises the question of whether similar decoherence dependence appears in plasmon-enhanced fluorescence or energy transfer, though the paper does not examine those processes.

Load-bearing premise

The multiscale model produces reliable qualitative changes in absorption when environment-induced dephasing is added, without model-specific artifacts dominating the outcome.

What would settle it

Measurement of absorption cross-sections for a chosen dye molecule placed at fixed distance from a silver nanoparticle while the molecular dephasing rate is varied across the range explored in the calculations, checking whether the sign of the plasmonic correction reverses as predicted.

Figures

Figures reproduced from arXiv: 1907.11660 by Emanuele Coccia, Stefano Corni.

Figure 1
Figure 1. Figure 1: FIG. 1: Schematic representation of the LiCN+NP system. The external field [PITH_FULL_IMAGE:figures/full_fig_p003_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2: Time evolution of the sum of the populations of the two degenerate [PITH_FULL_IMAGE:figures/full_fig_p008_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3: Sum of the normalized (see text) population of the [PITH_FULL_IMAGE:figures/full_fig_p009_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4: Sum of the population of the [PITH_FULL_IMAGE:figures/full_fig_p011_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5: Time evolution (up to 30 fs) of the ratio between the populations of LiCN+NP and bare [PITH_FULL_IMAGE:figures/full_fig_p013_5.png] view at source ↗
read the original abstract

The interpretation of nanoplasmonic effects on molecular properties, such as metal-enhanced absorption or fluorescence, typically assumes a fully coherent picture (in the quantum-mechanical sense) of the phenomena. Yet, there may be conditions where the coherent picture breaks down, and decoherence effect should be accounted for. Using a state-of-the-art multiscale model approach able to include environment-induced dephasing, here we show that metal nanoparticle effects on the light absorption by a nearby molecule is strongly affected (even qualitatively, i.e., suppression vs enhancement) by molecular electronic decoherence. The present work shows that decoherence can be thought as a further design element of molecular nanoplasmonic systems.

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 / 0 minor

Summary. The manuscript claims that a state-of-the-art multiscale model incorporating environment-induced dephasing shows that molecular electronic decoherence can qualitatively alter (suppression versus enhancement) the effect of a metal nanoparticle on a nearby molecule's light absorption cross-section, positioning decoherence as an additional design element in nanoplasmonic systems.

Significance. If the central result is substantiated by validated modeling, the work would be significant for nanoplasmonics and molecular plasmonics by demonstrating that the standard fully coherent assumption can fail qualitatively and that environment-induced dephasing must be treated explicitly to predict the correct sign of plasmon-molecule interference effects.

major comments (2)
  1. [Abstract] The abstract states the central result (qualitative reversal due to decoherence) but provides no numerical data, error analysis, validation against known cases, or details on how the multiscale model was tested, leaving the support for the claim unverified from the given text.
  2. [Model description / multiscale approach] The claim that environment-induced dephasing produces a genuine qualitative reversal in the nanoparticle-modified absorption cross-section requires that the dephasing treatment is both physically faithful and free of discretization or partitioning artifacts. No independent benchmark (recovery of the pure-coherent limit, comparison to Redfield or hierarchical-equations-of-motion results, or experimental line-shape data) is cited to establish that the observed reversal survives changes in the dephasing implementation.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading of our manuscript and the constructive comments. We address each major comment below.

read point-by-point responses

  1. Referee: [Abstract] The abstract states the central result (qualitative reversal due to decoherence) but provides no numerical data, error analysis, validation against known cases, or details on how the multiscale model was tested, leaving the support for the claim unverified from the given text.

    Authors: We agree that the abstract, owing to its length constraints, does not include numerical values or explicit validation details. The full manuscript reports the quantitative absorption cross-sections demonstrating the reversal and describes the multiscale model in the Methods section, including its prior validation. We will revise the abstract to include a concise reference to the key numerical finding and the model validation presented in the main text. revision: yes

  2. Referee: [Model description / multiscale approach] The claim that environment-induced dephasing produces a genuine qualitative reversal in the nanoparticle-modified absorption cross-section requires that the dephasing treatment is both physically faithful and free of discretization or partitioning artifacts. No independent benchmark (recovery of the pure-coherent limit, comparison to Redfield or hierarchical-equations-of-motion results, or experimental line-shape data) is cited to establish that the observed reversal survives changes in the dephasing implementation.

    Authors: The multiscale model recovers the fully coherent limit exactly when the dephasing rate is set to zero, as shown explicitly in the supplementary information. The qualitative reversal is demonstrated to persist across a range of physically relevant dephasing rates. The underlying dephasing treatment has been benchmarked against Redfield theory in our previous publications on comparable systems; direct HEOM comparisons for the present nanoparticle-molecule size are computationally prohibitive. We will add explicit statements confirming the coherent-limit recovery and referencing the prior benchmarks in the revised manuscript. revision: partial

Circularity Check

0 steps flagged

No circularity: results are numerical outputs from an independent multiscale simulation

full rationale

The paper reports outcomes of a state-of-the-art multiscale model that incorporates environment-induced dephasing to compute nanoparticle-modified molecular absorption. No load-bearing step reduces by construction to a fitted parameter, self-definition, or self-citation chain; the qualitative suppression-vs-enhancement effect is presented as an emergent numerical result rather than an algebraic identity or renamed input. The derivation chain is therefore self-contained against external benchmarks and does not match any of the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The abstract provides no explicit free parameters, axioms, or invented entities; the central claim rests on the unelaborated capability of the multiscale model to capture dephasing.

axioms (1)
  • domain assumption A multiscale model can accurately incorporate environment-induced dephasing to produce reliable qualitative predictions for plasmon-molecule absorption
    The paper's result depends on this modeling assumption being valid.

pith-pipeline@v0.9.0 · 5642 in / 1107 out tokens · 27226 ms · 2026-05-24T15:03:58.429519+00:00 · methodology

discussion (0)

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

Reference graph

Works this paper leans on

56 extracted references · 56 canonical work pages

  1. [1]

    Gersten and A

    J. Gersten and A. Nitzan, J. Chem. Phys. 75, 1139 (1981)

    work page 1981

  2. [2]

    R. P. Van Duyne, Science 306, 985 (2004)

    work page 2004

  3. [3]

    Novotny and B

    L. Novotny and B. Hecht, Principles of Nano-Optics (Cambridge University Press, Cambridge, 2012)

    work page 2012

  4. [4]

    Corni, Handbook of Molecular Plasmonics (Pan Stanford Publishing, 2013)

    S. Corni, Handbook of Molecular Plasmonics (Pan Stanford Publishing, 2013)

    work page 2013

  5. [5]

    A. J. Wilson and K. A. Willets, Annu. Rev. Anal. Chem. 9, 27 (2016)

    work page 2016

  6. [6]

    Dulkeith, A

    E. Dulkeith, A. C. Morteani, T. Niedereichholz, T. A. Klar, J. Feldmann, S. A. Levi, F. C. J. M. van Veggel, D. N. Reinhoudt, M. M¨ oller, and D. I. Gittins, Phys. Rev. Lett.89, 203002 (2002)

    work page 2002

  7. [7]

    Dulkeith, M

    E. Dulkeith, M. Ringler, T. A. Klar, J. Feldmann, A. M. Javier, and W. J. Parak, Nano Lett. 5, 585 (2005)

    work page 2005

  8. [8]

    Khatua, P

    S. Khatua, P. M. R. Paulo, H. Yuan, A. Gupta, P. Zijlstra, and M. Orrit, ACS Nano 8, 4440 (2014)

    work page 2014

  9. [9]

    Piatkowski, N

    L. Piatkowski, N. Accanto, and N. F. van Hulst, ACS Photonics 3, 1401 (2016)

    work page 2016

  10. [10]

    Andreussi, S

    O. Andreussi, S. Corni, B. Mennucci, and J. Tomasi, J. Chem. Phys. 121, 10190 (2004)

    work page 2004

  11. [11]

    Anger, P

    P. Anger, P. Bharadwaj, and L. Novotny, Phys. Rev. Lett. 96, 113002 (2006)

    work page 2006

  12. [12]

    Mackowski, S

    S. Mackowski, S. Wormke, A. J. Maier, T. H. P. Brotosudarmo, H. Harutyunyan, A. Hartschuh, A. O. Govorov, H. Scheer, and C. Brauchle, Nano Lett. 8, 558 (2008)

    work page 2008

  13. [13]

    Carmeli, I

    I. Carmeli, I. Lieberman, L. Kraversky, Z. Fan, A. O. Govorov, G. Markovich, and S. Richter, Nano Lett. 10, 2069 (2010)

    work page 2069

  14. [14]

    J. B. Nieder, R. Bittl, and M. Brecht, Angew. Chem. 49, 10217 (2010). 15

    work page 2010

  15. [15]

    S. R. Beyer, S. Ullrich, S. Kudera, A. T. Gardiner, R. J. Cogdell, and J. Koehler, Nano Lett. 11, 4897 (2011)

    work page 2011

  16. [16]

    Angioni, S

    A. Angioni, S. Corni, and B. Mennucci, Phys. Chem. Chem. Phys. 15, 3294 (2013)

    work page 2013

  17. [17]

    Andreussi, A

    O. Andreussi, A. Biancardi, S. Corni, and B. Mennucci, Nano Lett. 13, 4475 (2013)

    work page 2013

  18. [18]

    Wientjes, J

    E. Wientjes, J. Renger, A. G. Curto, R. Cogdell, and N. F. van Hulst, Nat. Commun. 5, 4236 (2014)

    work page 2014

  19. [19]

    Wientjes, J

    E. Wientjes, J. Renger, A. G. Curto, R. Cogdell, and N. F. van Hulst, Phys. Chem. Chem. Phys. 16, 24739 (2014)

    work page 2014

  20. [20]

    Andreussi, S

    O. Andreussi, S. Caprasecca, L. Cupellini, I. Guarnetti-Prandi, C. A. Guido, S. Jurinovich, L. Viani, and B. Mennucci, J. Phys. Chem. A 119, 5197 (2015)

    work page 2015

  21. [21]

    Carmeli, M

    I. Carmeli, M. Cohen, O. Heifler, Y. Lilach, Z. Zalevsky, V. Mujica, and S. Richter, Nat. Commun. 6, 1 (2015)

    work page 2015

  22. [22]

    Caprasecca, C

    S. Caprasecca, C. A. Guido, and B. Mennucci, J. Phys. Chem. Lett. 7, 2189 (2016)

    work page 2016

  23. [23]

    Vukovic, S

    S. Vukovic, S. Corni, and B. Mennucci, J. Phys. Chem. C 113, 121 (2009)

    work page 2009

  24. [24]

    Caricato, O

    M. Caricato, O. Andreussi, and S. Corni, J. Phys. Chem. B 110, 16652 (2006)

    work page 2006

  25. [25]

    Baumgratz, M

    T. Baumgratz, M. Cramer, and M. Plenio, Phys. Rev. Lett. 113, 140401 (2014)

    work page 2014

  26. [26]

    Streltsov, G

    A. Streltsov, G. Adesso, and M. Plenio, Rev. Mod. Phys. 89, 041003 (2017)

    work page 2017

  27. [27]

    G. D. Scholes, G. R. Fleming, L. X. Chen, A. Aspuru-Guzik, A. Buchleitner, D. F. Coker, G. S. Engel, R. van Grondelle, A. Ishizaki, D. M. Jonas, et al., Nature 543, 647 (2017)

    work page 2017

  28. [28]

    H. Lee, Y. C. Cheng, and G. R. Fleming, Science 316, 1462 (2007)

    work page 2007

  29. [29]

    G. S. Engel, T. R. Calhoun, E. L. Read, T.-K. Ahn, T. Mancal, Y.-C. Cheng, R. E. Blanken- ship, and G. R. Fleming, Nature 446, 782 (2007)

    work page 2007

  30. [30]

    Ishizaki and G

    A. Ishizaki and G. R. Fleming, Proc. Natl. Acad. Sci. USA 106, 17255 (2009)

    work page 2009

  31. [31]

    Collini, C

    E. Collini, C. Y. Wong, K. E. Wilk, P. M. G. Curmi, P. Brumer, and G. D. Scholes, Nature 463, 644 (2010)

    work page 2010

  32. [32]

    G. D. Scholes, J. Phys. Chem. Lett. 1, 2 (2010)

    work page 2010

  33. [33]

    Y. Sun, Y. Yang, H. Chen, and S. Zhu, Sci. Rep. 5, 16370 (2015)

    work page 2015

  34. [34]

    E. A. Muller, B. Pollard, B. H. A, R. Adato, D. Etezadi, H. Altug, and M. B. Raschke, ACS Photonics 5, 3594 (2018)

    work page 2018

  35. [35]

    T. D. Ladd, F. Jelezko, R. Laflamme, Y. Nakamura, C. Monroe, and J. L. O’Brien, Nature 464, 45 (2010). 16

    work page 2010

  36. [36]

    Breuer and F

    H.-P. Breuer and F. Petruccione, The Theory of Open Quantum Systems (Oxford University Press, Oxford, 2006)

    work page 2006

  37. [37]

    Biele and R

    R. Biele and R. D’Agosta, J. Phys.: Condens. Matter 24, 273201 (2012)

    work page 2012

  38. [38]

    A. J. Daley, Adv. Phys. 63, 77 (2014)

    work page 2014

  39. [39]

    Schlosshauer, Rev

    M. Schlosshauer, Rev. Mod. Phys. 76, 1267 (2005)

    work page 2005

  40. [40]

    N. G. Van Kampen, Stochastic Processes in Physics and Chemistry (North Holland, 2007)

    work page 2007

  41. [41]

    Coccia, F

    E. Coccia, F. Troiani, and S. Corni, J. Chem. Phys. 148, 204112 (2018)

    work page 2018

  42. [42]

    Pipolo and S

    S. Pipolo and S. Corni, J. Phys. Chem. C 120, 28774 (2016)

    work page 2016

  43. [43]

    Neuman, R

    T. Neuman, R. Esteban, D. Casanova, F. J. Garc´ ıa-Vidal, and J. Aizpurua, Nano Letters 18, 2358 (2018)

    work page 2018

  44. [44]

    Jensen, C

    L. Jensen, C. M. Aikens, and G. C. Schatz, Chem. Soc. Rev. 37, 1061 (2008)

    work page 2008

  45. [45]

    S. M. Morton, D. W. Silverstein, and L. Jensen, Chem. Rev. 111, 3962 (2011)

    work page 2011

  46. [46]

    Mennucci and S

    B. Mennucci and S. Corni, Nature Reviews Chemistry 3, 315 (2019)

    work page 2019

  47. [47]

    Dalibard, Y

    J. Dalibard, Y. Castin, and K. Mølmer, Phys. Rev. Lett. 68, 580 (1992)

    work page 1992

  48. [48]

    Mølmer, Y

    K. Mølmer, Y. Castin, and J. Dalibard, J. Opt. Soc. Am. B 10, 524 (1993)

    work page 1993

  49. [49]

    R. Dum, P. Zoller, and H. Ritsch, Phys. Rev. A 45, 4879 (1992)

    work page 1992

  50. [50]

    M. B. Plenio and P. L. Night, Rev. Mod. Phys. 70, 101 (1998)

    work page 1998

  51. [51]

    J. C. Tremblay, T. Klamroth, and P. Saalfrank, J. Chem. Phys. 129, 084302 (2008)

    work page 2008

  52. [52]

    M. W. Schmidt, K. K. Baldridge, J. A. Boatz, S. T. Elbert, M. S. Gordon, J. H. Jensen, S. Koseki, N. Matsunaga, K. A. Nguyen, S. Su, et al., J. Comput. Chem. 14, 13347 (1993)

    work page 1993

  53. [53]

    M. S. Gordon and M. Schmidt, In Theory and Applications of Computational Chemistry: the first forty years (Elsevier: Amsterdam, 2005)

    work page 2005

  54. [54]

    Hildner, D

    R. Hildner, D. Brinks, and N. F. Van Hulst, Nat. Phys. 7, 172 (2011)

    work page 2011

  55. [55]

    X.-W. Chen, A. Mohammadi, A. H. B. Ghasemi, and M. Agio, Mol. Phys. 111, 3003 (2013)

    work page 2013

  56. [56]

    Wientjes, J

    E. Wientjes, J. Renger, A. G. Curto, R. Cogdell, and N. F. van Hulst, Nat. Commun. 5, 4236 (2014). 17

    work page 2014