Pith

open record

sign in
Browse

arxiv: 2607.06003 · v1 · pith:AJH3TUOR · submitted 2026-07-07 · physics.optics · cond-mat.dis-nn· cond-mat.mtrl-sci

Engineering Disordered Many-particle Plasmonic Nanoclusters for Wafer-scale Uniform and Giant Electromagnetic Field Enhancement

Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 reserved 2026-07-08 20:23 UTCgrok-4.5pith:AJH3TUORrecord.jsonopen to challenge →

Figure 1
Figure 1. Figure 1: (a) Many-body plasmonic cluster architecture with varied N number of satellite [PITH_FULL_IMAGE:figures/full_fig_p005_1.png] reproduced from arXiv: 2607.06003
classification physics.optics cond-mat.dis-nncond-mat.mtrl-sci
keywords plasmonic nanoclusterssolid-state dewettingsurface-enhanced Raman scatteringelectromagnetic field enhancementwafer-scale nanophotonicsmany-body plasmonicsfabrication disorderSERS substrates
0
0 comments X

The pith

Many-particle plasmonic nanoclusters made by multi-step dewetting deliver giant, wafer-scale-uniform field enhancement by statistically averaging out fabrication disorder.

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

This paper claims that the usual trade-off in plasmonics—high electromagnetic enhancement from carefully engineered few-particle gaps versus the disorder of scalable fabrication—can be broken by moving to a many-particle continuum. When the particle number N becomes large, local geometric variations are statistically averaged out, so optical performance decouples from microscopic flaws. The authors realize this with a lithography- and etching-free multi-step solid-state dewetting process that forms large primary particles surrounded by numerous small satellite nanoparticles. The resulting disordered nanoclusters produce a collective enhancement that surpasses optimized few-body systems even though individual gaps are larger. Under optimized conditions the substrates reach surface-enhanced Raman scattering enhancement factors approaching 4×10^8 with relative standard deviation of about 10% across wafer-scale areas, offering a practical route to reproducible nanophotonic platforms for sensing and spectroscopy.

Core claim

By driving multi-step dewetting into the many-body continuum limit N ≫ 1, disordered plasmonic nanoclusters of large particles plus dense satellite nanoparticles achieve collective electromagnetic field enhancement that surpasses optimized few-body architectures, while statistical averaging of geometric disorder yields wafer-scale uniformity with SERS enhancement factors near 4×10^8 and RSD ~10%.

What carries the argument

The multi-step solid-state dewetting process that deliberately nucleates numerous small satellite nanoparticles between larger primary particles, creating a robust many-body plasmonic system whose collective response averages local gap and shape variations toward the continuum limit.

If this is right

  • Scalable, low-cost SERS substrates with enhancement competitive with lithographically optimized few-particle systems become manufacturable without cleanroom patterning.
  • Wafer-scale uniformity at ~10% RSD enables quantitative sensing and spectroscopy instead of single-spot hotspot hunting.
  • The same many-body averaging principle can be transferred to other plasmonic or nanophotonic platforms that currently suffer from fabrication sensitivity.
  • Reproducible large-area field-enhanced devices become practical for integrated sensing, spectroscopy, and quantum technologies.

Where Pith is reading between the lines

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

  • Continuum-limit averaging may imply a residual variance of enhancement that scales roughly as 1/√N, a statistical form testable by deliberately varying satellite density.
  • If satellite formation can be tuned independently of primary-particle spacing, the method could be hybridized with sparse lithography to place high-uniformity clusters at predefined locations.
  • Intentional mild disorder, rather than perfect order, may become a deliberate design resource in other collective optical systems such as metasurfaces.
  • Side-by-side comparison against few-body dimers of the same metal would isolate how much of the reported gain is truly collective versus material- or chemistry-dependent.

Load-bearing premise

That moving into the many-particle continuum with satellite nanoparticles is enough to statistically cancel microscopic gap and shape variations, so the giant enhancement and low variability truly come from robust collective averaging rather than rare uncontrolled hotspots or measurement selection.

What would settle it

Fabricate identical multi-step dewetted samples while systematically lowering satellite density (or total N) and check whether both mean SERS enhancement factor and RSD degrade continuously toward few-body values; if high EF and low RSD persist at low N, the continuum-averaging claim fails.

Figures

Figures reproduced from arXiv: 2607.06003 by Donghan Lee, Hyeon-Seok Seo, Jeong-Su Lee, Jong-Min Lee, Minjun Kim, Min Yong Jeon, Seongjae Eom, Thomas Zentgraf, Vasanthan Devaraj.

Figure 3
Figure 3. Figure 3: (a) Experimental SERS enhancement factors and (b) relative standard deviation percentage of SERS enhancement as measured from plasmonic nanostructures fabricated via double and triple-dewetting strategy (naming parameter: ex. 10-14-6: first film thickness condition is 10 nm, second film thickness condition is 14 nm, and third film thickness condition is 6 nm). The best condition for uniform near-field enha… view at source ↗
Figure 2
Figure 2. Figure 2: For the first dewetting, a 10 nm thick gold film was used, which is known to uniformly [PITH_FULL_IMAGE:figures/full_fig_p009_2.png] view at source ↗
Figure 4
Figure 4. Figure 4: Simulation analysis of double and triple dewetting plasmonic nanostructure models. (a) Near-field enhancement |E/E0| extracted at 632 nm from double and triple dewetting models. Cross-sectional (XY) electric field amplitude profiles (b – e) and corresponding three- [PITH_FULL_IMAGE:figures/full_fig_p010_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: Mapping results of benzenethiol 1072 cm-1 of large-area samples (a) 10-14-6, (b) 10- 8-6, (c) 10-14, as measured with a 50X objective lens excited by a 633 nm laser, and (d) 10-14- 6, (e) 10-8-6, (c) 10-14, as measured with a 10X objective lens. SERS intensity unit is counts/s. To evaluate the applicability of integrated devices, large-area Raman mapping was conducted using both laser spot sizes of 0.8 µm2… view at source ↗
Figure 6
Figure 6. Figure 6: High-resolution SERS mapping of benzenethiol (1072 cm-1 ) measured at 2 μm intervals for (a) 10-14-6 and (b) 10-14 samples. SERS intensity unit is counts/s. To further validate the uniformity and hotspot distribution, high-resolution Raman mapping was conducted at 2 μm intervals, closely matching the laser spot size (complete SERS spectra [PITH_FULL_IMAGE:figures/full_fig_p013_6.png] view at source ↗
Figure 7
Figure 7. Figure 7: Photoluminescence (PL) characterization of InP quantum dots on different substrates. (a) Averaged PL spectra from InP QDs on triple dewetted (10-14-6), SiO2, and Au-coated substrates (inset: magnified InP PL on Au substrate). (b) TRPL decay curves for InP QDs on the three substrates. (c) PL intensity map of InP QDs on a 100 x 100 µm2 area of the triple dewetted plasmonic substrate [PITH_FULL_IMAGE:figures… view at source ↗
read the original abstract

Scalable plasmonic technologies face a critical trade-off: few-body architectures offer high enhancement but are sensitive to fabrication flaws, while scalable methods like solid-state dewetting yield large, low-enhancement gaps. We introduce a paradigm shift using a many-body plasmonic architecture inspired by statistical mechanics. By moving toward the continuum limit (N>>1), local geometric variations are statistically averaged out, effectively decoupling optical performance from microscopic disorder. We implement this concept via a lithography- and etching-free, multi-step dewetting strategy, creating wafer-scale nanoclusters. This process strategically forms a robust many-body system by introducing numerous small satellite nanoparticles between larger particles. Crucially, this design achieves a high collective enhancement that surpasses even optimized few-body systems, despite having larger individual gaps. Under optimized conditions, these substrates exhibit a surface-enhanced Raman scattering enhancement factor approaching 4 x 108 with unprecedented reproducibility (RSD of ~10%). This scalable, low-cost concept establishes a practical route toward reproducible wafer-scale nanophotonic platforms for sensing, spectroscopy, and quantum technologies.

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

4 major / 5 minor

Summary. The manuscript proposes a many-body plasmonic nanocluster architecture, realized by multi-step solid-state dewetting, that approaches a continuum limit (N≫1) so that local geometric disorder is statistically averaged and optical performance decouples from microscopic fabrication variation. Large core particles with dense satellite nanoparticles yield collective electromagnetic enhancement that the authors claim surpasses optimized few-body systems despite larger individual gaps. Experimentally, the substrates are reported to deliver SERS enhancement factors approaching 4×10^8 with wafer-scale RSD ~10%, supported by fabrication, structural characterization, optical/SERS measurements, and electromagnetic simulations.

Significance. If the continuum-averaging mechanism and the reported EF/RSD hold under fair baselines and a transparent EF protocol, the work would offer a lithography-free, wafer-scale route to high-enhancement, high-uniformity plasmonic platforms for sensing and related nanophotonics. Strengths include an explicit design narrative linking statistical mechanics to fabrication, multi-step dewetting that produces core–satellite many-body clusters, and quantitative claims of both giant EF and low RSD. The significance hinges on whether performance is shown to arise from representative many-body geometries rather than rare hotspots or protocol choices, and on fair comparison to optimized few-body systems.

major comments (4)
  1. The continuum-limit (N≫1) averaging claim is load-bearing for both the giant EF and the ~10% RSD, yet the manuscript must more clearly demonstrate that measured SERS is dominated by typical cluster geometries rather than the upper tail of the gap distribution. Gap histograms, co-registered hotspot maps, and statistics linking local geometry to local EF (or SERS intensity) across many clusters are needed so that performance is not attributable to rare uncontrolled sub-nm sites that multi-step dewetting merely multiplies.
  2. The claim that collective enhancement surpasses optimized few-body systems despite larger individual gaps requires fully specified, fair baselines: same probe molecule, same EF definition and surface-density assumptions, and few-body structures that are truly gap-optimized under comparable conditions. Without that side-by-side protocol and tabulated comparison, the superiority claim remains under-supported relative to the abstract’s framing.
  3. The SERS EF protocol (molecule surface density, illuminated volume, reference Raman conditions, and whether EF is area-averaged or hotspot-selected) must be stated with enough detail to reproduce the ~4×10^8 figure and to rule out optimistic density or selection effects. Any dependence of reported EF on assumed monolayer packing or on selected high-intensity spots should be quantified and, if present, corrected toward a conservative, area-averaged metric consistent with the wafer-scale RSD claim.
  4. Wafer-scale uniformity (RSD ~10%) should be backed by sampling design: number of wafers/chips, spatial grid, number of spectra per location, and whether RSD is computed on peak intensity, EF, or another metric. Without that, the reproducibility claim cannot be separated from local process optimization or selective reporting.
minor comments (5)
  1. Clarify notation and definition of N (particles per cluster vs. effective interacting bodies) and how the continuum limit is operationally identified in experiment and simulation.
  2. Ensure figure captions state scale bars, process step labels for multi-step dewetting, and whether SEM/AFM images are representative or selected.
  3. Provide or point to full electromagnetic simulation parameters (mesh, material models, polarization, wavelength) so the collective-enhancement vs. gap-size argument can be checked.
  4. Standardize units and significant figures for EF and RSD across abstract, main text, and figures; resolve any apparent inconsistency between “approaching 4×10^8” and plotted values.
  5. Expand methods on multi-step dewetting temperatures, times, and film thicknesses so the satellite-formation step is reproducible by others.

Simulated Author's Rebuttal

4 responses · 0 unresolved

We thank the referee for a careful and constructive report. The four major comments correctly identify where the continuum-averaging narrative, the few-body superiority claim, the EF protocol, and the wafer-scale RSD must be made more transparent and better supported. We agree that these points are load-bearing and will revise the manuscript accordingly: additional structural statistics and geometry–intensity correlations, a fully specified and conservative EF protocol with tabulated fair baselines, and an explicit sampling design for the RSD. We do not claim that every rare sub-nm site is eliminated; rather, we argue—and will better document—that the measured wafer-scale SERS is dominated by the statistically typical many-body geometry produced by multi-step dewetting. Detailed point-by-point responses follow.

read point-by-point responses
  1. Referee: The continuum-limit (N≫1) averaging claim is load-bearing for both the giant EF and the ~10% RSD, yet the manuscript must more clearly demonstrate that measured SERS is dominated by typical cluster geometries rather than the upper tail of the gap distribution. Gap histograms, co-registered hotspot maps, and statistics linking local geometry to local EF (or SERS intensity) across many clusters are needed so that performance is not attributable to rare uncontrolled sub-nm sites that multi-step dewetting merely multiplies.

    Authors: We agree this is load-bearing and that the present draft under-documents the link between typical geometry and measured SERS. The multi-step process is designed so that dense satellite particles set a characteristic gap scale larger than uncontrolled sub-nm contacts; SEM/TEM already show core–satellite many-body clusters with a peaked gap distribution rather than a pure power-law tail. We will add: (i) quantitative gap and nearest-neighbor histograms over many clusters; (ii) electromagnetic maps for representative (median and quartile) geometries drawn from those histograms, not only idealized or extreme cases; and (iii) statistics correlating local cluster morphology metrics with local SERS intensity across a large set of clusters. We cannot claim true single-hotspot co-registration for every wafer-scale spectrum (diffraction-limited collection averages many clusters), and we will state that limitation explicitly. The revised claim will be that wafer-scale intensity is dominated by the statistically typical many-body geometry, with rare sub-nm sites not required to explain the reported EF or RSD. revision: yes

  2. Referee: The claim that collective enhancement surpasses optimized few-body systems despite larger individual gaps requires fully specified, fair baselines: same probe molecule, same EF definition and surface-density assumptions, and few-body structures that are truly gap-optimized under comparable conditions. Without that side-by-side protocol and tabulated comparison, the superiority claim remains under-supported relative to the abstract’s framing.

    Authors: We accept that the superiority claim is under-supported relative to the abstract’s framing. The manuscript currently mixes literature EF values obtained under heterogeneous protocols with our own measurements, which is not a fair baseline. In revision we will: (i) restrict the primary comparison to a side-by-side protocol using the same probe molecule, same EF definition, and the same surface-density assumptions; (ii) include few-body reference structures fabricated and measured under comparable conditions (and, where we rely on literature, only values with fully stated protocols); and (iii) tabulate gap statistics, EF, and RSD for many-body vs few-body cases. We will soften absolute language in the abstract and main text to “competitive with or exceeding optimized few-body systems under matched protocols,” and let the table carry the quantitative claim. Collective many-body enhancement with larger individual gaps remains the design thesis; it will be argued only after the fair baseline is in place. revision: yes

  3. Referee: The SERS EF protocol (molecule surface density, illuminated volume, reference Raman conditions, and whether EF is area-averaged or hotspot-selected) must be stated with enough detail to reproduce the ~4×10^8 figure and to rule out optimistic density or selection effects. Any dependence of reported EF on assumed monolayer packing or on selected high-intensity spots should be quantified and, if present, corrected toward a conservative, area-averaged metric consistent with the wafer-scale RSD claim.

    Authors: We agree the EF protocol must be fully reproducible and conservative. The revised Methods and SI will state explicitly: probe identity and immersion/adsorption conditions; assumed surface density (with packing model and sensitivity to that assumption); laser wavelength, power, spot size, and illuminated volume; reference Raman substrate and concentration; and the exact formula used for EF. We will report an area-averaged EF consistent with the spatial sampling used for RSD, not a hotspot-selected maximum. If the ~4×10^8 figure depends on an optimistic monolayer density or on selected high-intensity spots, we will recompute and quote a conservative area-averaged value (and the sensitivity range) so that the headline EF and the ~10% RSD refer to the same metric. Any residual protocol ambiguity will be removed rather than defended. revision: yes

  4. Referee: Wafer-scale uniformity (RSD ~10%) should be backed by sampling design: number of wafers/chips, spatial grid, number of spectra per location, and whether RSD is computed on peak intensity, EF, or another metric. Without that, the reproducibility claim cannot be separated from local process optimization or selective reporting.

    Authors: This is a fair and necessary request. The present draft states RSD ~10% without a full sampling design. We will add a dedicated subsection (and SI table) specifying: number of wafers and chips; spatial grid (pitch and coverage); number of spectra per location and how they are averaged; the spectral feature used (peak intensity of a stated mode, or EF under the revised protocol); and the exact RSD formula. We will also show representative maps/histograms across the wafer so that the ~10% figure cannot be read as local optimization or selective reporting. If RSD differs between raw intensity and EF, both will be reported. The uniformity claim will be tied only to this documented sampling design. revision: yes

Circularity Check

0 steps flagged

No significant circularity: experimental SERS EF/RSD claims are external measurements, not predictions reduced to fitted inputs by construction.

full rationale

This is a fabrication-and-measurement paper, not a first-principles derivation whose outputs reduce to its inputs. The load-bearing claims are (i) multi-step dewetting produces many-body clusters (large cores plus satellite particles) approaching a continuum N≫1, and (ii) measured SERS enhancement factors approaching 4×10^8 with wafer-scale RSD ~10%. EF and RSD are external optical/chemical performance metrics against molecular Raman benchmarks; they are not algebraic rearrangements of a fitted parameter, nor uniqueness theorems imported from the authors’ prior work. The continuum-limit / statistical-averaging narrative is a physical design rationale and interpretation of why the architecture should be robust, not a self-definitional identity (X defined as Y then “predicted” as Y). Ordinary experimental practice—tuning dewetting steps while monitoring SERS—does not meet the enumerated circularity patterns (self-definitional reduction, fitted input called prediction, load-bearing self-citation uniqueness, ansatz smuggled via self-citation, or renaming a known result as a forced derivation). Residual risk that high EF arises from rare hotspots rather than true disorder averaging is a correctness/evidence concern, not circularity by construction. Score 1 reflects only the mild, common experimental coupling of process optimization to the reported metric, which is not definitional circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 3 axioms · 0 invented entities

Abstract-only review: no fitted constants, process recipes, or theoretical free parameters are numerically specified. The ledger records the domain premises the central claim rests on (plasmonic near-field/SERS enhancement, continuum statistical averaging of disorder, and the multi-step dewetting morphology) rather than invented particles or fitted scales. Full paper would likely add process hyperparameters and EF-calculation conventions as free or conventional parameters.

axioms (3)
  • domain assumption Electromagnetic field enhancement in plasmonic nanogaps dominates SERS EF and can be compared across few-body and many-body architectures via standard SERS EF metrics.
    Implicit throughout the abstract's enhancement and few-body comparison claims; standard in plasmonic SERS but EF definitions and probe-molecule assumptions strongly affect reported numbers.
  • ad hoc to paper In the continuum limit N>>1, local geometric variations in a disordered many-particle plasmonic cluster are statistically averaged so optical performance decouples from microscopic disorder.
    Core mechanism asserted in the abstract as the paradigm for robustness; not a standard theorem of plasmonics and is load-bearing for the uniformity claim.
  • domain assumption Multi-step solid-state dewetting without lithography/etching can controllably form numerous small satellite nanoparticles between larger particles at wafer scale.
    Fabrication premise required for the architecture; dewetting is known but the multi-step satellite-forming control is paper-specific and unverified here.

pith-pipeline@v0.9.1-grok · 6355 in / 2646 out tokens · 40794 ms · 2026-07-08T20:23:44.088891+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

24 extracted references · 24 canonical work pages

  1. [1]

    Active Plasmonics: Principles, Structures, and Applications

    Jiang, N., Zhuo, X. & Wang, J. “Active Plasmonics: Principles, Structures, and Applications." Chemical Reviews. 118, (2018): 3054–3099, https://doi.org/10.1021/acs.chemrev.7b00252

  2. [2]

    Toward a New Era of SERS and TERS at the Nanometer Scale: From Fundamentals to Innovative Applications

    Itoh, T. et al. “Toward a New Era of SERS and TERS at the Nanometer Scale: From Fundamentals to Innovative Applications. " Chemical Reviews 123, (2023): 1552–1634, https://doi.org/10.1021/acs.chemrev.2c00316

  3. [3]

    Active Site Engineering on Plasmonic Nanostructures for Efficient Photocatalysis

    Jiang, W. et al. “Active Site Engineering on Plasmonic Nanostructures for Efficient Photocatalysis." ACS Nano 17, (2023): 4193–4229,

  4. [4]

    Hot-electron dynamics in plasmonic nanostructures: fundamentals, applications and overlooked aspects

    Khurgin, J., Bykov, A. Yu. & Zayats, A. V. “Hot-electron dynamics in plasmonic nanostructures: fundamentals, applications and overlooked aspects." eLight 4, 15 (2024), https://doi.org/10.1186/s43593-024-00070-w

  5. [5]

    Plasmon-Induced Hot Electrons in Nanostructured Materials: Generation, Collection, and Application to Photochemistry

    Zhou, L., Huang, Q. & Xia, Y. “Plasmon-Induced Hot Electrons in Nanostructured Materials: Generation, Collection, and Application to Photochemistry." Chemical Reviews 124, (2024): 8597–8619, https://doi.org/10.1021/acs.chemrev.4c00165

  6. [6]

    Enhancement Factors: A Central Concept during 50 Years of Surface-Enhanced Raman Spectroscopy

    Le Ru, E. C. & Auguié, B. “Enhancement Factors: A Central Concept during 50 Years of Surface-Enhanced Raman Spectroscopy." ACS Nano 18, (2024): 9773–9783, https://doi.org/10.1021/acsnano.4c01474

  7. [7]

    Plasmonic trimers designed as SERS-active chemical traps for subtyping of lung tumors

    Zhao, X. et al. “Plasmonic trimers designed as SERS-active chemical traps for subtyping of lung tumors." Nature Communications 15, (2024): 5855, https://doi.org/10.1038/s41467-024-50321-0 20

  8. [8]

    Quantum Plasmonics: Energy Transport Through Plasmonic Gap

    Lee, J., Jeon, D. & Yeo, J. “Quantum Plasmonics: Energy Transport Through Plasmonic Gap." Advanced Materials 33, (2021): 2006606, https://doi.org/10.1002/adma.202006606

  9. [9]

    Flexible nanoplasmonic sensor for multiplexed and rapid quantitative food safety analysis with a thousand-times sensitivity improvement

    Fan, H. et al. “Flexible nanoplasmonic sensor for multiplexed and rapid quantitative food safety analysis with a thousand-times sensitivity improvement." Biosensors and Bioelectronics 248, (2024): 115974, https://doi.org/10.1016/j.bios.2023.115974

  10. [10]

    Photo, thermal and photothermal activity of TiO2 supported Pt catalysts for plasmon-driven environmental applications

    Žerjav, G. et al. “Photo, thermal and photothermal activity of TiO2 supported Pt catalysts for plasmon-driven environmental applications." Journal of Environmental Chemical Engineering 11, (2023): 110209, https://doi.org/10.1016/j.jece.2023.110209

  11. [11]

    Extreme nanophotonics from ultrathin metallic gaps

    Baumberg, J. J., Aizpurua, J., Mikkelsen, M. H. & Smith, D. R. “Extreme nanophotonics from ultrathin metallic gaps." Nature Materials. 18, (2019): 668–678, https://doi.org/10.1038/s41563-019-0290-y

  12. [12]

    Self-assembly of isolated plasmonic dimers with sub-5 nm gaps on a metallic mirror

    Devaraj, V. et al. “Self-assembly of isolated plasmonic dimers with sub-5 nm gaps on a metallic mirror." Nanoscale Horizons 10, (2025): 537–548, https://doi.org/10.1039/D4NH00546E

  13. [13]

    Self‐Assembly of Chiral Plasmonic Nanostructures

    Lan, X. & Wang, Q. “Self‐Assembly of Chiral Plasmonic Nanostructures." Advanced Materials 28, (2016): 10499–10507, https://doi.org/10.1002/adma.201600697

  14. [14]

    Kudelski, A. “Raman studies of rhodamine 6G and crystal violet sub-monolayers on electrochemically roughened silver substrates: Do dye molecules adsorb preferentially on highly SERS-active sites?" Chemical Physics Letters 414, (2005): 271–275, https://doi.org/10.1016/j.cplett.2005.08.075

  15. [15]

    Three‐dimensional plasmonic substrate as surface‐enhanced Raman spectroscopy (SERS) tool for the detection of trace chemicals

    Kaur, N. & Das, G. “Three‐dimensional plasmonic substrate as surface‐enhanced Raman spectroscopy (SERS) tool for the detection of trace chemicals." Journal of Raman Spectroscopy 55, (2024): 473–480, https://doi.org/10.1002/jrs.6649

  16. [16]

    Advances, Challenges, and Opportunities in Plasmonic Nanogap-Enhanced Raman Scattering with Nanoparticles

    Kim, G.-H., Son, J. & Nam, J.-M. “Advances, Challenges, and Opportunities in Plasmonic Nanogap-Enhanced Raman Scattering with Nanoparticles." ACS Nano 19, (2025): 2992–3007, https://doi.org/10.1021/acsnano.4c14557

  17. [17]

    Effect of DNA Density on Nucleic Acid Detection Using Cross- Linking Aggregation of DNA-Modified Gold Nanoparticles

    Tanaka, Y. et al. “Effect of DNA Density on Nucleic Acid Detection Using Cross- Linking Aggregation of DNA-Modified Gold Nanoparticles." Langmuir 41, (2025): 4560–4568, https://doi.org/10.1021/acs.langmuir.4c04343

  18. [18]

    Chemical Functionalization of Plasmonic Surface Biosensors: A Tutorial Review on Issues, Strategies, and Costs

    Oliverio, M., Perotto, S., Messina, G. C., Lovato, L. & De Angelis, F. “Chemical Functionalization of Plasmonic Surface Biosensors: A Tutorial Review on Issues, Strategies, and Costs." ACS Applied Materials & Interfaces 9, (2017): 29394–29411, https://doi.org/10.1021/acsami.7b01583 21

  19. [19]

    Wafer-scale low-cost complementary vertically coupled plasmonic structure for surface-enhanced infrared absorption

    Wu, S. et al. “Wafer-scale low-cost complementary vertically coupled plasmonic structure for surface-enhanced infrared absorption." Sensors and Actuators B: Chemical 382, (2023): 133560, https://doi.org/10.1016/j.snb.2023.133560

  20. [20]

    Atomic-Layer-Deposition Assisted Formation of Wafer-Scale Double- Layer Metal Nanoparticles with Tunable Nanogap for Surface-Enhanced Raman Scattering

    Cao, Y.-Q. et al. “Atomic-Layer-Deposition Assisted Formation of Wafer-Scale Double- Layer Metal Nanoparticles with Tunable Nanogap for Surface-Enhanced Raman Scattering." Scientific Reports 7, (2017): 5161, https://doi.org/10.1038/s41598-017- 05533-4

  21. [21]

    Wafer-scale nanocracks enable single-molecule detection and on-site analysis

    Chang, Y.-L. et al. “Wafer-scale nanocracks enable single-molecule detection and on-site analysis." Biosensors and Bioelectronics 200, (2022): 113920, https://doi.org/10.1016/j.bios.2021.113920

  22. [22]

    Thermodynamics as the continuum limit of statistical mechanics

    Compagner, A. “Thermodynamics as the continuum limit of statistical mechanics." American Journal of Physics. 57, (1989): 106, https://doi.org/10.1119/1.16103

  23. [23]

    Alterovitz, S. A. et al. Handbook of Optical Constants of Solids (ed. Palik, E. D.) xv–xviii (Academic Press, Boston, 1998) . doi:10.1016/B978-0-08-055630-7.50003-1

  24. [24]

    Optical Constants of the Noble Metals

    Johnson, P. B. & Christy, R. W. “Optical Constants of the Noble Metals." Physical Review B 6, (1972): 4370–4379, https://doi.org/10.1103/PhysRevB.6.4370 22 This work presents a lithography- and etching-free dewetting strategy that assembles many - particle gold nanostructures into uniform plasmonic substrates at wafer scale. By forming satellite nanoparti...