REVIEW 3 major objections 5 minor 58 references
Correlated Structural and Optical Characterization of Hexagonal Boron Nitride
T0 review · 3 major / 5 minor · reviewed 2026-08-12 · deepseek-v4-flash
Pith's one-line read Characterization tools and common cleaning treatments themselves alter the optical activity, surface residue, and morphology of hexagonal boron nitride, so any hBN quantum-emitter experiment must account for these induced changes.
desk verdict A useful correlative study that overstates oxygen-plasma brightening in the conclusions, but the core observation that measurements and treatments perturb hBN is solid and deserves referee time. read the letter →
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
The reading
What carries the argument
The central object is a correlated measurement platform: mechanically exfoliated multilayer hBN flakes (about 10–30 nm thick) suspended over focused-ion-beam-milled holes in silicon nitride membranes, which are compatible with both confocal photoluminescence and transmission electron microscopy. The argument is carried by three quantitative tools: an image-processing routine that thresholds TEM micrographs to compute contamination coverage and residue-size distributions; an emitter-family analysis that fits PL image histograms to extract background, density, and brightness of emitter groups; and energy-dispersive x-ray spectroscopy mapping that ties the residue to silicon, carbon, and oxygen, consistent with polydimethylsiloxane transfer contamination.
What would settle it
A direct test would be to acquire TEM images of the same hBN region before and after electron irradiation using a parameter-free residue quantification method (for example, manual segmentation by multiple independent observers or machine learning trained on labeled images) and compare the resulting coverage curves; if the non-monotonic peak at 25 minutes disappears under ground-truth segmentation, the claimed dose-dependent residue evolution would not be supported.
Extended reading notes
Core claim
The authors claim that the microscopy techniques themselves induce changes in hBN's optical activity and residue morphology: PL measurements induce photobleaching, whereas TEM measurements alter surface residue and emission characteristics. They further claim that oxygen plasma treatment results in thinning of hBN and reduces surface residue while brightening and diffusing PL emission, whereas annealing induces warping and cracking in hBN flakes and results in an increase or re-distribution of surface residue while reducing optical activity overall. These conclusions rest on a custom sample platform—hBN flakes suspended over holes in silicon nitride membranes—that allows the same flake to be examined sequentially with confocal PL, TEM, and AFM, together with quantitative image analysis of contamination coverage and emitter-family statistics.
Load-bearing premise
The quantitative contamination coverage and residue size distributions rest on an image-processing routine whose parameters (threshold intensity, minimum area, morphological kernel) were chosen by visual inspection on the same TEM images from which the reported values are drawn, with no ground-truth masks or raw images provided, so the non-monotonic residue trend could shift with parameter choice.
Editorial extensions
If this is right
- If the central claim is correct, any experiment that first images hBN with TEM and then measures PL cannot assume the observed emission reflects the pristine material; the electron beam itself modifies residue and emission.
- Oxygen plasma, often used as a cleaning step, measurably thins hBN and can brighten and diffuse its emission, so its use changes the very defect landscape under study.
- Annealing, commonly expected to stabilize or brighten emitters, can instead warp the flake, increase surface residue, and reduce optical activity, at least for flakes in this thickness range.
- Quantitative contamination coverage provides a concrete metric for comparing sample-transfer methods and cleaning recipes, enabling future optimization that avoids etching the hBN itself.
- The same correlated platform can be applied to other two-dimensional materials to separate intrinsic properties from measurement-induced changes.
Reading between the lines
- A likely editorial extension is that some previously reported 'activation' of hBN emitters by electron irradiation or annealing may actually reflect electron-beam-induced residue redistribution or Fermi-level shifts rather than the creation of new intrinsic defects.
- The non-monotonic residue trend (coverage rising to 25 minutes, then falling by 40 minutes) suggests a dose-dependent competition between hydrocarbon polymerization and beam-induced removal; this could be tested directly with in-situ mass spectrometry or controlled hydrocarbon partial pressures.
- A testable extension would be to perform the same correlated measurements on flakes transferred by a residue-free method (for example, dry transfer with clean stamps) to isolate whether the observed optical changes are intrinsic to hBN or mediated by PDMS residue.
- The reported recipe dependence of oxygen plasma effects implies that an optimized cleaning protocol might remove residue without etching the hBN; systematic parameter sweeps with the correlated platform could identify such a window.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The paper reports a correlative structural and optical study of exfoliated hexagonal boron nitride (hBN) flakes suspended over holes in silicon nitride membranes, combining confocal photoluminescence (PL) microscopy, transmission electron microscopy (TEM), atomic force microscopy (AFM), and energy-dispersive X-ray spectroscopy (EDS). The authors present evidence that the measurement techniques themselves alter the samples: prolonged laser exposure causes photobleaching of localized emitters, while electron-beam irradiation in the TEM restructures surface contamination (attributed to PDMS transfer residue) and changes the optical emission, including a shift from localized to diffuse emission. They also compare two common treatments: oxygen plasma (studied on Samples B, D, and F) is reported to thin the flakes, reduce surface residue, and convert localized to diffuse emission, with a large brightness increase in Sample D; annealing (Samples C and E) is reported to increase roughness, warp/crack the flake (Sample C), increase or redistribute residue, and reduce localized emission. The central message is that correlated characterization is necessary because microscopy and treatments themselves modify hBN's optical activity and surface chemistry.
Significance. If the qualitative findings hold, this is a useful and timely cautionary study for the hBN quantum-emitter community. Its strengths include the genuinely correlative use of PL and TEM on the same flakes, the EDS confirmation of PDMS-related residue, the direct visual evidence for electron-beam-induced residue restructuring, and the explicit reporting of image-processing parameters with a partial robustness check for Sample A. The paper is also honest in several places about sample-to-sample variability. However, the significance is moderated by the small number of samples per treatment (often one or two), the reliance on user-tuned image segmentation for quantitative residue claims, and the overgeneralized wording in the abstract and conclusions regarding oxygen-plasma 'brightening' and annealing-induced 'warping and cracking.' These issues are fixable with rephrasing and additional uncertainty reporting, but they are load-bearing for the paper's headline conclusions.
major comments (3)
- [Abstract and Sec. IV (Conclusions)] The statement that oxygen plasma treatment results in 'brightening and diffusing PL emission' is not supported by the paper's own data across all samples. In SI Sec. VII, Sample B, treated with the identical 5-min, 50-W, 50-sccm recipe as Sample D, shows background brightness returning to the initial level after plasma (Fig. S10c), and Sample F, treated with the lower-flow recipe, shows little change in overall optical activity (Fig. S11c). The main text itself concedes that 'changes in brightness were less consistent' (Sec. III.B). The robust, reproducible effects are morphological (thinning, residue reduction) and the localized-to-diffuse transition. The abstract and conclusions should be reworded to describe brightness changes as sample-dependent rather than a categorical brightening effect.
- [Abstract and Sec. IV (Conclusions)] The conclusion that 'annealing induces warping and cracking in hBN flakes' is based primarily on TEM observation of Sample C (Sec. III.A, Fig. 4i,j). Sample E, annealed with the same recipe, is reported to show substantially increased roughness but no mention of cracking or warping (Sec. III.B, Fig. 5f-i). The categorical wording overgeneralizes from a single flake. The conclusion should be qualified to state that annealing can induce warping and cracking (observed in Sample C) and that increased roughness is the more consistently observed morphological change.
- [SI Secs. IV-V and Figs. S6-S8] The quantitative contamination coverage values (Sample A: 19% after 40 min; Sample B: 25% to 7%; Sample C: 7% to 23%) rest on image-processing parameters that were selected by visual inspection on the same TEM images being quantified. For Sample A, the authors provide a welcome robustness check across three parameter sets (Fig. S6k-l) showing that the non-monotonic trend is stable. However, no equivalent sensitivity analysis is provided for Samples B and C, where the parameters were re-optimized (SI Sec. V). Since the plasma-vs-annealing comparison uses these numbers, the authors should either provide similar robustness data for Samples B and C or explicitly label the coverage values as semi-quantitative. This is a load-bearing issue for the quantitative residue claims, though the qualitative visual trends are clear.
minor comments (5)
- [Fig. 4 caption] The caption reads 'Effects of annealing on Sample B and O2 plasma on Sample C', which is the reverse of the text and figure content: Sample B received oxygen plasma and Sample C received annealing. This should be corrected.
- [Sec. II.B, para. 5] The sentence 'Figure 2e illustrates the dramatic qualitative change in the fluorescence properties following TEM imaging' should refer to Fig. 3e, not Fig. 2e, since the PL images and emitter family analysis are in Fig. 3.
- [Methods G] The sentence 'oxygen plasma at 50W with flow rate of 25 or 50 sccm for 5 or 10 minutes, respectively' is ambiguous about which flow rate pairs with which duration. The main text and SI indicate 50 sccm for 5 min and 25 sccm for 10 min; the sentence should be rephrased to avoid confusion.
- [Methods D and Fig. 3c,f] The emitter family analysis selects the number of groups based on reduced chi-squared, but no uncertainties are reported for the fitted density and brightness parameters, and no threshold for a 'significant' change (e.g., the reported factor-of-3 decrease in density/brightness) is defined. Reporting confidence intervals or fit residuals would strengthen the quantitative interpretation.
- [SI Sec. VII] In the paragraph describing Fig. S10, the text refers to 'Fig. 4.2' in one place; this should be 'Fig. 4' or a more specific panel reference.
Circularity Check
No significant circularity: the paper is an empirical before/after study with direct measurements and robustness checks; same-group citations are non-load-bearing.
full rationale
This paper is an empirical characterization study and contains no derivation chain in which a reported result is constructed from its own inputs. The central claims — PL photobleaching, TEM-induced changes to residue and optical activity, and the morphological and optical effects of annealing and oxygen plasma — are supported by direct before/after measurements (Figs. 2–5; SI Figs. S10–S11), including a vacuum-only control (SI Fig. S9) that isolates electron-beam effects from the TEM environment. The emitter-family analysis is imported from Breitweiser et al. [21], a same-group citation, but it is a published statistical fitting procedure used as a measurement tool; the paper's conclusions do not depend on that citation as an unverified theorem, and the other same-group citations (Bhatia et al. [36], Keneipp et al. [26]) concern transfer protocols and prior observations rather than load-bearing evidence for the present findings. The TEM residue quantification uses user-selected image-processing parameters optimized by visual inspection on the analyzed images, but this is calibration of a measurement, not a fitted input renamed as a prediction; the authors explicitly checked that the non-monotonic trend persists across three parameter sets (SI Fig. S6k,l), so the result is not forced by parameter choice. No equation, definition, or uniqueness claim makes any reported quantity equal to its inputs by construction. The abstract/conclusion statement that oxygen plasma 'brightens' PL emission overgeneralizes the paper's own SI data (Samples B and F show no net brightening), but that is a correctness or accuracy concern, not circularity.
Assumptions & free parameters
free parameters (2)
- Emitter family fit parameters (background level, density, brightness per emitter group) =
Sample-specific, e.g., density/brightness decrease by a factor of ~3 after photobleaching in Sample A
- Contamination segmentation parameters (threshold intensity, minimum area, morphological kernel) =
For Sample A: i=175, amin=9 nm², km=1.0 nm²; separate sets optimized for Samples B and C
assumptions (4)
- domain assumption PL intensity decomposes into a uniform background plus discrete emitter groups that follow Gaussian intensity distributions
- domain assumption The dark lacey features seen in TEM are surface residue from PDMS transfer
- domain assumption The observed optical changes after TEM exposure are caused by the electron beam rather than the vacuum environment
- domain assumption Samples B, C, D, and E are comparable because they were fabricated with identical protocols and have similar thickness
Cite this review
Pith. "Pith review of Correlated Structural and Optical Characterization of Hexagonal Boron Nitride." pith.science (2026). https://pith.science/paper/W2B7KHPC
@misc{pith2026241114408,
author = {Pith},
title = {Pith review of: Correlated Structural and Optical Characterization of Hexagonal Boron Nitride},
year = {2026},
howpublished = {\url{https://pith.science/paper/W2B7KHPC}},
note = {Machine review of arXiv:2411.14408}
}
abstract
Hexagonal boron nitride (hBN) plays a central role in nanoelectronics and nanophotonics. Moreover, hBN hosts room-temperature quantum emitters and optically addressable spins, making it promising for quantum sensing and quantum photonics. Despite many investigations of their optical properties, however, the emitters' chemical structure remains unclear, as does the role of contamination at surfaces and interfaces in forming the emitters or modifying their properties. We prepare hBN samples that are compatible with confocal photoluminescence (PL) microscopy, transmission electron microscopy (TEM), and atomic-force microscopy (AFM), and we use those techniques to quantitatively investigate correlations between fluorescent emission, flake morphology, and surface residue. We find that the microscopy techniques themselves induce changes in hBN's optical activity and residue morphology: PL measurements induce photobleaching, whereas TEM measurements alter surface residue and emission characteristics. We also study the effects of common treatments $\unicode{x2014}$ annealing and oxygen plasma cleaning $\unicode{x2014}$ on the structure and optical activity of hBN. The methods can be broadly applied to study two-dimensional materials, and the results illustrate the importance of correlative studies to elucidate structural factors that influence hBN's functionality as a host for quantum emitters and spin defects.
Figures
Reference graph
Works this paper leans on
-
[1]
A. B. D.-a.-j.-w.-i. Shaik and P. Palla, Scientific Reports 11, 1 (2021)
work page 2021
-
[2]
N. R. Jungwirth, B. Calderon, Y . Ji, M. G. Spencer, M. E. Flatté, and G. D. Fuchs, Nano Letters 16, 6052 (2016)
work page 2016
-
[3]
C. R. Dean, A. F. Young, I. Meric, C. Lee, L. Wang, S. Sor- genfrei, K. Watanabe, T. Taniguchi, P. Kim, K. L. Shepard, and J. Hone, Nature Nanotechnology 5, 722 (2010)
work page 2010
-
[4]
G. L. Yu, R. Jalil, B. Belle, A. S. Mayorov, P. Blake, F. Schedin, S. V . Morozov, L. A. Ponomarenko, F. Chiappini, S. Wiedmann, U. Zeitler, M. I. Katsnelson, A. K. Geim, K. S. Novoselov, and D. C. Elias, Proceedings of the National Academy of Sciences of the United States of America 110, 3282 (2013)
work page 2013
-
[5]
M. Kuiri, C. Kumar, B. Chakraborty, S. N. Gupta, M. H. Naik, M. Jain, A. K. Sood, and A. Das, Nanotechnology 26, 10.1088/0957-4484/26/48/485704 (2015)
-
[6]
T. T. Tran, C. Elbadawi, D. Totonjian, C. J. Lobo, G. Grosso, H. Moon, D. R. Englund, M. J. Ford, I. Aharonovich, and M. Toth, ACS Nano 10, 7331 (2016)
2016
-
[7]
A. L. Exarhos, D. A. Hopper, R. R. Grote, A. Alkauskas, and L. C. Bassett, ACS Nano 11, 3328 (2017). 10
work page 2017
-
[8]
N. Mendelson, Z. Q. Xu, T. T. Tran, M. Kianinia, J. Scott, C. Bradac, I. Aharonovich, and M. Toth, ACS Nano 13, 3132 (2019)
work page 2019
Show all 58 references
-
[9]
R. N. Patel, D. A. Hopper, J. A. Gusdorff, M. E. Turiansky, T.- Y . Huang, R. E. K. Fishman, B. Porat, C. G. Van de Walle, and L. C. Bassett, PRX Quantum 3, 1 (2022)
2022
-
[10]
A. L. Exarhos, D. A. Hopper, R. N. Patel, M. W. Doherty, and L. C. Bassett, Nature Communications 10, 10.1038/s41467- 018-08185-8 (2019)
2019 doi
-
[11]
Chejanovsky, A
N. Chejanovsky, A. Mukherjee, J. Geng, Y . C. Chen, Y . Kim, A. Denisenko, A. Finkler, T. Taniguchi, K. Watanabe, D. B. R. Dasari, P. Auburger, A. Gali, J. H. Smet, and J. Wrachtrup, Na- ture Materials 20, 1079 (2021)
2021
-
[12]
N. J. Guo, S. Li, W. Liu, Y . Z. Yang, X. D. Zeng, S. Yu, Y . Meng, Z. P. Li, Z. A. Wang, L. K. Xie, R. C. Ge, J. F. Wang, Q. Li, J. S. Xu, Y . T. Wang, J. S. Tang, A. Gali, C. F. Li, and G. C. Guo, Nature Communications 14, 10.1038/s41467-023- 38672-6 (2023)
2023 doi
-
[13]
R. N. Patel, R. E. Fishman, T. Y . Huang, J. A. Gusdorff, D. A. Fehr, D. A. Hopper, S. A. Breitweiser, B. Porat, M. E. Flatté, and L. C. Bassett, Nano Letters 10.1021/acs.nanolett.4c01333 (2024)
2024 doi
-
[14]
H. L. Stern, C. M. Gilardoni, Q. Gu, S. Eizagirre Barker, O. F. Powell, X. Deng, S. A. Fraser, L. Follet, C. Li, A. J. Ramsay, H. H. Tan, I. Aharonovich, and M. Atatüre, Nature Materials 23, 1379 (2024)
2024
-
[15]
Akbari, W
H. Akbari, W. H. Lin, B. Vest, P. K. Jha, and H. A. Atwater, Physical Review Applied 15, 1 (2021)
2021
-
[16]
N. V . Proscia, Z. Shotan, H. Jayakumar, P. Reddy, C. Cohen, M. Dollar, A. Alkauskas, M. Doherty, C. A. Meriles, and V . M. Menon, Optica 5, 1128 (2018)
2018
-
[17]
Sajid and K
A. Sajid and K. S. Thygesen, 2D Materials (2020)
2020
-
[18]
F. Yang, G. Stando, A. Thompson, D. Gundurao, L. Li, and H. Liu, Accounts of Materials Research 3, 1022 (2022)
2022
-
[19]
S. X. Li, T. Ichihara, H. Park, G. He, D. Kozawa, Y . Wen, V . B. Koman, Y . Zeng, M. Kuehne, Z. Yuan, S. Faucher, J. H. Warner, and M. S. Strano, Communications Materials 4, 1 (2023)
2023
-
[20]
Wigger, R
D. Wigger, R. Schmidt, O. Del Pozo-Zamudio, J. A. Preuß, P. Tonndorf, R. Schneider, P. Steeger, J. Kern, Y . Khodaei, J. Sperling, S. M. De Vasconcellos, R. Bratschitsch, and T. Kuhn, 2D Materials 6, 10.1088/2053-1583/ab1188 (2019)
2019 doi
-
[21]
S. A. Breitweiser, A. L. Exarhos, R. N. Patel, J. Saouaf, B. Po- rat, D. A. Hopper, and L. C. Bassett, ACS Photonics 7, 288 (2020)
2020
-
[22]
Fournier, A
C. Fournier, A. Plaud, S. Roux, A. Pierret, M. Rosticher, K. Watanabe, T. Taniguchi, S. Buil, X. Quélin, J. Barjon, J. P. Hermier, and A. Delteil, Nature Communications 12, 1 (2021)
2021
-
[23]
Hayee, L
F. Hayee, L. Yu, J. L. Zhang, C. J. Ciccarino, M. Nguyen, A. F. Marshall, I. Aharonovich, J. Vu ˇckovi´c, P. Narang, T. F. Heinz, and J. A. Dionne, Nature Materials 19, 534 (2020)
2020
-
[24]
N. Alem, R. Erni, C. Kisielowski, M. D. Rossell, W. Gannett, and A. Zettl, Physical Review B 80, 155425 (2009)
2009
-
[25]
T. A. Bui, G. T. Leuthner, J. Madsen, M. R. A. Monazam, A. I. Chirita, A. Postl, C. Mangler, J. Kotakoski, and T. Susi, Small 19, 10.1002/smll.202301926 (2023)
2023 doi
-
[26]
R. N. Keneipp, J. A. Gusdorff, P. Bhatia, T. T. Shin, L. C. Bas- sett, and M. Drndi´c, Journal of Physical Chemistry C128, 8741 (2024)
2024
-
[27]
Li, Z.-Q
C. Li, Z.-Q. Xu, N. Mendelson, M. Kianinia, M. Toth, and I. Aharonovich, Nanophotonics 8, 2049 (2019)
2019
-
[28]
Venturi, S
G. Venturi, S. Chiodini, N. Melchioni, E. Janzen, J. H. Edgar, C. Ronning, and A. Ambrosio, Laser and Photonics Reviews 18, 39 (2024)
2024
-
[29]
S. S. Mohajerani, S. Chen, A. Alaei, T. Chou, N. Liu, Y . Ma, L. Xiao, S. S. Lee, E.-H. Yang, and S. Strauf, ACS Photonics 11, 2359 (2024)
2024
-
[30]
Y . Chen, A. Gale, K. Yamamura, J. Horder, A. Condos, K. Watanabe, T. Taniguchi, M. Toth, and I. Aharonovich, Ap- plied Physics Letters 123, 10.1063/5.0155311 (2023)
2023 doi
-
[31]
T. T. Tran, K. Bray, M. J. Ford, M. Toth, and I. Aharonovich, Nature Nanotechnology 11, 37 (2016)
2016
-
[32]
H. Ngoc, M. Duong, M. Anh, P. Nguyen, M. Kianinia, T. Ohshima, H. Abe, K. Watanabe, T. Taniguchi, J. H. Edgar, I. Aharonovich, and M. Toth, ACS Applied Materials and Inter- faces 10.1021/acsami.8b07506 (2018)
2018 doi
-
[33]
Egerton, P
R. Egerton, P. Li, and M. Malac, Micron 35, 399 (2004)
2004
-
[34]
Rykaczewski, W
K. Rykaczewski, W. B. White, and A. G. Fedorov, Journal of Applied Physics 101, 10.1063/1.2437065 (2007)
2007 doi
-
[35]
Egerton, Micron 119, 72 (2019)
R. Egerton, Micron 119, 72 (2019)
2019
-
[36]
Bhatia, T
P. Bhatia, T. T. Shin, K. Kavetsky, B. N. Sailors, G. Siokos, A. S. Uy-Tioco, R. N. Keneipp, J. A. Gusdorff, L. C. Bassett, and M. Drndi´c, Micron , 103747 (2024)
2024
-
[37]
Cheliotis and I
I. Cheliotis and I. Zergioti, 2D Materials 11, 022004 (2024)
2024
-
[38]
A. Jain, P. Bharadwaj, S. Heeg, M. Parzefall, T. Taniguchi, K. Watanabe, and L. Novotny, Nanotechnology 29, 265203 (2018)
2018
-
[39]
D. J. Jang, M. M. Haidari, J. H. Kim, J.-Y . Ko, Y . Yi, and J. S. Choi, Nanomaterials 13, 1494 (2023)
2023
-
[40]
Neumann, X
M. Neumann, X. Wei, L. Morales-Inostroza, S. Song, S. G. Lee, K. Watanabe, T. Taniguchi, S. Götzinger, and Y . H. Lee, ACS Nano 17, 11679 (2023)
2023
-
[41]
Kotakoski, C
J. Kotakoski, C. H. Jin, O. Lehtinen, K. Suenaga, and A. V . Krasheninnikov, Physical Review B 82, 113404 (2010)
2010
-
[42]
C. Dai, D. Popple, C. Su, J.-H. Park, K. Watanabe, T. Taniguchi, J. Kong, and A. Zettl, Communications Chemistry 6, 108 (2023)
2023
-
[43]
S. M. Gilbert, G. Dunn, A. Azizi, T. Pham, B. Shevitski, E. Dimitrov, S. Liu, S. Aloni, and A. Zettl, Scientific Reports 7, 15096 (2017)
2017
-
[44]
Fischer, J
M. Fischer, J. M. Caridad, A. Sajid, S. Ghaderzadeh, M. Ghorbani-Asl, L. Gammelgaard, P. Bøggild, K. S. Thyge- sen, A. V . Krasheninnikov, S. Xiao, M. Wubs, and N. Stenger, Science advances 7, 10.1126/sciadv.abe7138 (2021)
2021 doi
-
[45]
Y . S. Na, J. H. Kim, S. Kang, J. H. Jeong, S. Park, D. H. Kim, K. Ihm, K. Watanabe, T. Taniguchi, Y .-K. Kwon, Y . D. Kim, and G.-H. Lee, 2D Materials 8, 045041 (2021)
2021
-
[46]
Jadwiszczak, D
J. Jadwiszczak, D. J. Kelly, J. Guo, Y . Zhou, and H. Zhang, ACS Applied Electronic Materials 3, 1505 (2021)
2021
-
[47]
S. Kim, M. S. Choi, D. Qu, C. H. Ra, X. Liu, M. Kim, Y . J. Song, and W. J. Yoo, 2D Materials3, 035002 (2016)
2016
-
[48]
Zhang, Y
G. Zhang, Y . Chang, and B. Yan, Crystals13, 304 (2023)
2023
-
[49]
A. G. F. Garcia, M. Neumann, F. Amet, J. R. Williams, K. Watanabe, T. Taniguchi, and D. Goldhaber-Gordon, Nano Letters 12, 4449 (2012)
2012
-
[50]
Lin, C.-C
Y .-C. Lin, C.-C. Lu, C.-H. Yeh, C. Jin, K. Suenaga, and P.-W. Chiu, Nano Letters 12, 414 (2012)
2012
-
[51]
A. J. V . Griffiths and T. Walther, Journal of Physics: Conference Series 241, 012017 (2010)
2010
-
[52]
Hugenschmidt, K
M. Hugenschmidt, K. Adrion, A. Marx, E. Müller, and D. Gerthsen, Microscopy and Microanalysis 2, 10.1093/micmic/ozac003 (2022)
2022 doi
-
[53]
Mitchell, Micron 73, 36 (2015)
D. Mitchell, Micron 73, 36 (2015)
2015
-
[54]
V ogl, M
T. V ogl, M. W. Doherty, B. C. Buchler, Y . Lu, and P. K. Lam, Nanoscale 11, 14362 (2019)
2019
-
[55]
Mendelson, D
N. Mendelson, D. Chugh, J. R. Reimers, T. S. Cheng, A. Gottscholl, H. Long, C. J. Mellor, A. Zettl, V . Dyakonov, P. H. Beton, S. V . Novikov, C. Jagadish, H. H. Tan, M. J. Ford, 11 M. Toth, C. Bradac, and I. Aharonovich, Nature Materials 20, 321 (2021)
2021
-
[56]
Weston, D
L. Weston, D. Wickramaratne, M. Mackoit, A. Alkauskas, and C. G. Van De Walle, Physical Review B 97, 10.1103/Phys- RevB.97.214104 (2018). Supporting Information for Correlated Structural and Optical Characterization of Hexagonal Boron Nitride Jordan A. Gusdorff, 1, 2,∗ Pia Bha...
2018 arXiv
-
[57]
S. M. Pizer, E. P. Amburn, J. D. Austin, R. Cromartie, A. Geselowitz, T. Greer, B. ter Haar Romeny, J. B. Zimmerman, and K. Zuiderveld, Computer Vision, Graphics, and Image Processing 39, 355 (1987)
1987
-
[58]
Bradski and A
G. Bradski and A. Kaehler, Dr. Dobb’s Journal Of Software Tools 3 (2000)
2000
Reviewed August 12, 2026 · model on record in the stance chip above.
Discussion (0). Continue with ORCID to comment.