Query: , ; , ; Wang, J., Chem. Rev. 2018, 118, 3054-3099.

Candidate papers:

abstract: A subwavelength water metamaterial is proposed and analyzed for ultra broadband perfect absorption at microwave frequencies. We experimentally demonstrate that this metamaterial shows over 90% absorption within almost the entire frequency band of 12 29.6 GHz. It is also shown that the proposed metamaterial exhibits a good thermal stability with its absorption performance almost unchanged for the temperature range from 0 to 100*C. The study of the angular tolerance of the metamaterial absorber shows its ability of working at wide angles of incidence. Given that the proposed water metamaterial absorber is low cost and easy for manufacture, we envision it may find numerous applications in electromagnetics such as broadband scattering reduction and electromagnetic energy harvesting. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement OCIS codes: (160.1245) Artificially engineered materials; (050.6624) Subwavelength structures. References and links 1. N. Engheta and R. W. Ziolkowski, Metamaterials: Physics and Engineering Explorations (Wiley IEEE, 2006) 2. F. Capolino, Theory and Phenomena of Metamaterials (CRC, 2009) 3. Y. Cui, L. Kang, S. Lan, S. Rodrigues, and W. Cai, "Giant chiral optical response from a twisted arc metamaterial," Nano Lett. 14, 1021 1025 (2014) 4. A. S. Baimuratov, T. P. Pereziabova,W. Zhu,M.Yu. Leonov, A.V. Baranov, A.V. Fedorov, and I. D. Rukhlenko,"Optical anisotropy of topologically distorted semiconductor nanocrystals," Nano Lett. 14, 1021 1025 (2014) 5. N. Yu and F. Capasso, "Flat optics with designer metasurfaces," Nature Mater. 13, 139 150 (2014) 6. Y. Zhang, R. Zhang, X. Li, L. Ma, C. Liu, C. He, and C. Cheng, "Radially polarized plasmonic vector vortex generated by a metasurface spiral in gold film," Opt. Express 25, 32150 32160 (2017) 7. D. Schurig, J. J. Mock, B. J. Justice, S. A. Cummer, J. B. Pendry, A. F. Starr, D. R. Smith, "Metamaterial electromagnetic cloak at microwave frequencies," Science 314, 977 980 (2006) 8. Z. H. Jiang, S. Yun, L. Lin, J. A. Bossard, D. H. Werner, and T. S. Mayer, "Tailoring Dispersion for Broadband Low loss Optical Metamaterials Using Deep subwavelength Inclusions," Sci. Rep. 3, 1571 (2013) 9. P. Tassin, Lei Zhang, Th. Koschny, E. N. Economou, and C. M. Soukoulis, "Low loss metamaterials based on classical electromagnetically induced transparency," Phys. Rev. Lett. 102, 053901 (2009) 10. M. Premaratne and G. P. Agrawal, Light Propagation in Gain Media: Optical Amplifiers (Cambridge University, 2011) 11. Z. Dong, H. Liu, T. Li, Z. Zhu, S. Wang, J. Cao, S. Zhu, and X. Zhang, "Optical loss compensation in a bulk left handed metamaterial by the gain in quantum dots," Appl. Phys. Lett. 96, 044104 (2010) 12. N. I. Landy, S. Sajuyigbe, J. J. Mock, D. R. Smith, and W. J. Padilla, "Perfect metamaterial absorber," Phys. Rev. Lett. 100, 207402 (2008) 13. W. Zhu, F. Xiao, M. Kang, and M. Premaratne, "Coherent perfect absorption in an all dielectric metasurface," Appl. Phys. Lett. 108, 121901 (2016) 14. C. M. Watts, X. Liu, and W. J. Padilla, "Metamaterial electromagnetic wave absorbers," Adv. Mater. 24, OP98 OP120 (2012) Vol. 26, No. 4 19 Feb 2018 OPTICS EXPRESS 5052 #318885 https:/doi.org/10.1364/OE.26.005052 Journal (c) 2018 Received 3 Jan 2018; revised 11 Feb 2018; accepted 11 Feb 2018; published 16 Feb 2018 15. H. Wang, P. V. Sivan, A. Mitchell, G. Rosengarten, P. Phelan, and L. Wang, " Highly efficient selective metamaterial absorber for high temperature solar thermal energy harvesting," Sol. Energy Mater. Sol. Cells 137, 235 242 (2015) 16. S. Gu, B. Su, and X. Zhao, "Planar isotropic broadband metamaterial absorber," J. Appl. Phys. 104, 163702 (2013) 17. Y. Cui, K. H. Fung, J. Xu, H. Ma, Y. Jin, S. He, and N. X. Fang, "Ultrabroadband light absorption by a sawtooth anisotropic metamaterial slab," Nano Lett. 12, 1443 (2012) 18. Y. Shen, Y. Pang, J. Wang, H. Ma, and Z. Pei, "Ultra broadband terahertz absorption by uniaxial anisotropic nanowire metamaterials," IEEE Photon. Technol. Lett. 27, 2284 (2015) 19. M. Pu, M. Wang, C. Hu, C. Huang, Z. Zhao, Y. Wang, and X. Luo, "Engineering heavily doped silicon for broadband absorber in the terahertz regime," Opt. Express 20, 25513 25519 (2012) 20. W. Ellison, "Permittivity of pure water, at standard atmospheric pressure, over the frequency range 0 25 THz and the temperature range 0 100*C," J. Phys. Chem. Ref. Data 36, 1 18 (2007) 21. A. Andryieuski, S. M. Kuznetsova, S. V. Zhukovsky, Y. S. Kivshar, and A. V. Lavrinenko, "Water: Promising opportunities for tunable all dielectric electromagnetic metamaterials," Sci. Rep. 5, 13535 (2015) 22. Y. J. Yoo, S. Ju, S. Y. Park, Y. J. Kim, J. Bong, T. Lim, K. W. Kim, J. Y. Rhee, and Y. Lee, "Metamaterial absorber for electromagnetic waves in periodic water droplets," Sci. Rep. 5, 14018 (2015) 23. W. Zhu, I. D. Rukihlenko, F. Xiao, C. He, J. Geng, X. Liang, M. Premaratne, and R. Jin, "Multiband coherent perfect absorption in a water based metasurface," Optics Express 25, 15737 15745 (2017) 24. Y. Pang, J. Wang, Q. Cheng, S. Xia, X. Zhou, Z. Xu, T. Cui, and S. Qu, "Thermally tunable water substrate broadband metamaterial absorbers," Appl. Phys. Lett. 110, 104103 (2017) 25. M. Odit, P. Kapitanova, A. Andryieuski, P. Belov, and A. V. Lavrinenko, "Thermally tunable water substrate broadband metamaterial absorbers," Appl. Phys. Lett. 109, 011901 (2016) 26. H. Tao, C. M. Bingham, A. C. Strikwerda, D. Pilon, D. Shrekenhamer, N. I. Landy, K. Fan, X. Zhang, W. J. Padilla, and R. D. Averitt, "Highly flexible wide angle of incidence terahertz metamaterial absorber: Design, fabrication, and characterization," Phys. Rev. B 78, 241103(R) (2008)
author_names: R D
title: Water metamaterial for ultra broadband and wide angle absorption
year: 2018

abstract: The segmentation and classification of retinal arterioles and venules play an important role in the diagnosis of various eye diseases and systemic diseases. The major challenges include complicated vessel structure, inhomogeneous illumination, and large background variation across subjects. In this study, we employ a fully convolutional network to simultaneously segment arterioles and venules directly from the retinal image, rather than using a vessel segmentation arteriovenous classification strategy as reported in most literature. To simultaneously segment retinal arterioles and venules, we configured the fully convolutional network to allow true color image as input and multiple labels as output. A domain specific loss function was designed to improve the overall performance. The proposed method was assessed extensively on public data sets and compared with the stateof the art methods in literature. The sensitivity and specificity of overall vessel segmentation on DRIVE is 0.944 and 0.955 with a misclassification rate of 10.3% and 9.6% for arteriole and venule, respectively. The proposed method outperformed the state of the art methods and avoided possible error propagation as in the segmentation classification strategy. The proposed method was further validated on a new database consisting of retinal images of different qualities and diseases. The proposed method holds great potential for the diagnostics and screening of various eye diseases and systemic diseases. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement OCIS codes: (100.0100) Image processing; (150.0150) Machine vision. References and links 1. R. F. Gariano and T. W. Gardner, "Retinal angiogenesis in development and disease," Nature 438(7070) 960 966 (2005) 2. M. D. Abramoff, M. K. Garvin, and M. Sonka, "Retinal imaging and image analysis," IEEE Rev. Biomed. Eng. 3, 169 208 (2010) 3. S. B. Seidelmann, B. Claggett, P. E. Bravo, A. Gupta, H. Farhad, B. E. Klein, R. Klein, M. Di Carli, and S. D. Solomon, "Retinal vessel calibers in predicting long term cardiovascular outcomes: the atherosclerosis risk in communities study," Circulation 134(18) 1328 1338 (2016) 4. K. Rothaus, X. Jiang, and P. Rhiem, "Separation of the retinal vascular graph in arteries and veins based upon structural knowledge," Image Vis. Comput. 27(7) 864 875 (2009) 5. Q. Hu, M. D. Abramoff, and M. K. Garvin, "Automated construction of arterial and venous trees in retinal images," J. Med. Imaging (Bellingham) 2(4) 044001 (2015) 6. B. Dashtbozorg, A. M. Mendonca, and A. Campilho, "An Automatic Graph Based Approach for Artery/Vein Classification in Retinal Images," IEEE Trans. Image Process. 23(3) 1073 1083 (2014) Vol. 9, No. 7 1 Jul 2018 BIOMEDICAL OPTICS EXPRESS 3153 #327542 https:/doi.org/10.1364/BOE.9.003153 Journal (c) 2018 Received 6 Apr 2018; revised 7 Jun 2018; accepted 7 Jun 2018; published 15 Jun 2018 7. R. Estrada, M. J. Allingham, P. S. Mettu, S. W. Cousins, C. Tomasi, and S. Farsiu, "Retinal Artery Vein Classification via Topology Estimation," IEEE Trans. Med. Imaging 34(12) 2518 2534 (2015) 8. H. Narasimha Iyer, J. M. Beach, B. Khoobehi, and B. Roysam, "Automatic identification of retinal arteries and veins from dual wavelength images using structural and functional features," IEEE Trans. Biomed. Eng. 54(8) 1427 1435 (2007) 9. M. Niemeijer, B. van Ginneken, and M. D. Abramoff, "Automatic classification of retinal vessels into arteries and veins," in SPIE Medical Imaging (International Society for Optics and Photonics, 2009) 72601F. 10. M. Niemeijer, X. Xu, A. V. Dumitrescu, P. Gupta, B. van Ginneken, J. C. Folk, and M. D. Abramoff, "Automated measurement of the arteriolar to venular width ratio in digital color fundus photographs," IEEE Trans. Med. Imaging 30(11) 1941 1950 (2011) 11. M. Saez, S. Gonzalez Vazquez, M. Gonzalez Penedo, M. A. Barcelo, M. Pena Seijo, G. Coll de Tuero, and A. Pose Reino, "Development of an automated system to classify retinal vessels into arteries and veins," Comput. Methods Programs Biomed. 108(1) 367 376 (2012) 12. S. Vazquez, B. Cancela, N. Barreira, M. G. Penedo, M. Rodriguez Blanco, M. P. Seijo, G. C. de Tuero, M. A. Barcelo, and M. Saez, "Improving retinal artery and vein classification by means of a minimal path approach," Mach. Vis. Appl. 24(5) 919 930 (2013) 13. X. Xu, W. Ding, M. D. Abramoff, and R. Cao, "An improved arteriovenous classification method for the early diagnostics of various diseases in retinal image," Comput. Methods Programs Biomed. 141, 3 9 (2017) 14. C. Kondermann, D. Kondermann, and M. Yan, "Blood vessel classification into arteries and veins in retinal images," in Medical Imaging: Image Processing (International Society for Optics and Photonics, 2007) 651247 651247. 15. K. He, X. Zhang, S. Ren, and J. Sun, "Spatial Pyramid pooling in deep convolutional networks for visual recognition," IEEE Trans. Pattern Anal. Mach. Intell. 37(9) 1904 1916 (2015) 16. R. Girshick, J. Donahue, T. Darrell, and J. Malik, "Region Based Convolutional Networks for Accurate Object Detection and Segmentation," IEEE Trans. Pattern Anal. Mach. Intell. 38(1) 142 158 (2016) 17. E. Shelhamer, J. Long, and T. Darrell, "Fully convolutional networks for semantic segmentation," IEEE Trans. Pattern Anal. Mach. Intell. 39(4) 640 651 (2017) 18. K. K. Maninis, J. Pont Tuset, P. Arbelaez, and L. Van Gool, "Deep retinal image understanding," in Medical Image Computing and Computer Assisted Intervention MICCAI 2016 (Springer International Publishing, 2016) 140 148. 19. Q. Li, B. Feng, L. Xie, P. Liang, H. Zhang, and T. Wang, "A Cross Modality Learning Approach for Vessel Segmentation in Retinal Images," IEEE Trans. Med. Imaging 35(1) 109 118 (2016) 20. O. Ronneberger, P. Fischer, and T. Brox, "U Net: Convolutional Networks for Biomedical Image Segmentation," in International Conference on Medical Image Computing and Computer Assisted Intervention, 2015) 234 241. 21. M. Niemeijer, B. V. Ginneken, and M. Loog, "Comparative study of retinal vessel segmentation methods on a new publicly available database," Proc. SPIE 5370, 648 656 (2004) 22. M. Sonka, V. Hlavac, and R. Boyle, Image Processing, Analysis, and Machine Vision (Thomson Learning, 2008) 23. A. Dosovitskiy, J. T. Springenberg, M. Riedmiller, and T. Brox, "Discriminative unsupervised feature learning with convolutional neural networks," in Advances in Neural Information Processing Systems 27 (NIPS 2014) pp. 766 774 (2014) 24. J. Staal, M. D. Abramoff, M. Niemeijer, M. A. Viergever, and B. van Ginneken, "Ridge based vessel segmentation in color images of the retina," IEEE Trans. Med. Imaging 23(4) 501 509 (2004) 25. E. Ricci and R. Perfetti, "Retinal blood vessel segmentation using line operators and support vector classification," IEEE Trans. Med. Imaging 26(10) 1357 1365 (2007) 26. D. Marin, A. Aquino, M. E. Gegundez Arias, and J. M. Bravo, "A new supervised method for blood vessel segmentation in retinal images by using gray level and moment invariants based features," IEEE Trans. Med. Imaging 30(1) 146 158 (2011) 27. M. S. Miri and A. Mahloojifar, "Retinal image analysis using curvelet transform and multistructure elements morphology by reconstruction," IEEE Trans. Biomed. Eng. 58(5) 1183 1192 (2011) 28. S. Roychowdhury, D. D. Koozekanani, and K. K. Parhi, "Iterative Vessel Segmentation of Fundus Images," IEEE Trans. Biomed. Eng. 62(7) 1738 1749 (2015) 29. S. Wang, Y. Yin, G. Cao, B. Wei, Y. Zheng, and G. Yang, "Hierarchical retinal blood vessel segmentation based on feature and ensemble learning," Neurocomputing 149, 708 717 (2015) 30. X. Xu, W. Ding, X. Wang, R. Cao, M. Zhang, P. Lv, and F. Xu, "Smartphone based accurate analysis of retinal vasculature towards point of care diagnostics," Sci. Rep. 6(1) 34603 (2016) 31. J. Zhang, B. Dashtbozorg, E. Bekkers, J. P. W. Pluim, R. Duits, and B. M. Ter Haar Romeny, "Robust retinal vessel segmentation via locally adaptive derivative frames in orientation scores," IEEE Trans. Med. Imaging 35(12) 2631 2644 (2016) 32. G. Mirsharif, F. Tajeripour, F. Sobhanmanesh, H. Pourreza, and T. Banaee, "Developing an automatic method for separation of arteries from veins in retinal images," in 1st International Conference on Computer and Knowledge Engineering (2011) Vol. 9, No. 7 1 Jul 2018 BIOMEDICAL OPTICS EXPRESS 3154
author_names: XU Xiayu

Rendong Wang

LV Peilin

Bin Gao

LI Chan

Zhiqiang Tian

Tao Tan

Xuan Feng
title: Validation of a harmonic model for eddy currents in slitted conducting plates
year: 2018

abstract: We present a comparative study of electrical measurements of graphene using terahertz time domain spectroscopy in transmission and reflection mode, and compare the measured sheet conductivity values to electrical van der Pauw measurements made independently in three different laboratories. Overall median conductivity variations of up to 15% were observed between laboratories, which are attributed mainly to the well known temperature and humidity dependence of non encapsulated graphene devices. We conclude that terahertz time domain spectroscopy performed in either reflection mode or transmission modes are indeed very accurate methods for mapping electrical conductivity of graphene, and that both methods are interchangeable within measurement uncertainties. The conductivity obtained via terahertz time domain spectroscopy were consistently in agreement with electrical van der Pauw measurements, while offering the additional advantages associated with contactless mapping, such as high throughput, no lithography requirement, and with the spatial mapping directly revealing the presence of any inhomogeneities or isolating defects. The confirmation of the accuracy of reflection mode removes the requirement of a specialized THz transparent substrate to accurately measure the conductivity. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement OCIS codes: (120.4290) Nondestructive testing; (160.4236) Nanomaterials; (300.6250) Spectroscopy, condensed matter; (300.6495) Spectroscopy, terahertz; (310.3840) Materials and process characterization; (310.6870) Thin films, other properties. References and links 1. H. J. Yoon, D. H. Jun, J. H. Yang, Z. Zhou, S. S. Yang, and M. M. C. Cheng, "Carbon dioxide gas sensor using a graphene sheet," Sens. Actuators B Chem. 157(1) 310 313 (2011) 2. F. Schedin, A. K. Geim, S. V. Morozov, E. W. Hill, P. Blake, M. I. Katsnelson, and K. S. Novoselov, "Detection of individual gas molecules adsorbed on graphene," Nat. Mater. 6(9) 652 655 (2007) 3. A. Cagliani, D. M. A. Mackenzie, L. K. Tschammer, F. Pizzocchero, K. Almdal, and P. Boggild, "Large area nanopatterned graphene for ultrasensitive gas sensing," Nano Res. 7(5) 743 754 (2014) 4. Y. M. Lin, K. A. Jenkins, A. Valdes Garcia, J. P. Small, D. B. Farmer, and P. Avouris, "Operation of graphene transistors at gigahertz frequencies," Nano Lett. 9(1) 422 426 (2009) 5. D. M. A. Mackenzie, A. Cagliani, L. Gammelgaard, B. S. Jessen, D. H. Petersen, and P. Boggild, "Graphene antidot lattice transport measurements," Int. J. Nanotechnol. 14(1 6) 226 (2017) 6. F. Schwierz, "Graphene transistors," Nat. Nanotechnol. 5(7) 487 496 (2010) 7. J. Wu, M. Agrawal, H. A. Becerril, Z. Bao, Z. Liu, Y. Chen, and P. Peumans, "Organic Light Emitting Diodes on Solution Processed Graphene Transparent Electrodes," ACS Nano 4(1) 43 48 (2010) 8. T. H. Han, Y. Lee, M. R. Choi, S. H. Woo, S. H. Bae, B. H. Hong, J. H. Ahn, and T. W. Lee, "Extremely efficient flexible organic light emitting diodes with modified graphene anode," Nat. Photonics 6(2) 105 110 (2012) Vol. 26, No. 7 2 Apr 2018 OPTICS EXPRESS 9220 #320389 https:/doi.org/10.1364/OE.26.009220 Journal (c) 2018 Received 23 Jan 2018; revised 18 Mar 2018; accepted 19 Mar 2018; published 29 Mar 2018 9. T. Sun, Z. L. Wang, Z. J. Shi, G. Z. Ran, W. J. Xu, Z. Y. Wang, Y. Z. Li, L. Dai, and G. G. Qin, "Multilayered graphene used as anode of organic light emitting devices," Appl. Phys. Lett. 96(13) 133301 (2010) 10. M. Galbiati, A. C. Stoot, D. M. A. Mackenzie, P. Boggild, and L. Camilli, "Real time oxide evolution of copper protected by graphene and boron nitride barriers," Sci. Rep. 7(2) 39770 (2017) 11. N. T. Kirkland, T. Schiller, N. Medhekar, and N. Birbilis, "Exploring graphene as a corrosion protection barrier," Corros. Sci. 56, 1 4 (2012) 12. F. Yu, L. Camilli, T. Wang, D. M. A. Mackenzie, M. Curioni, R. Akid, and P. Boggild, "Complete long term corrosion protection with chemical vapor deposited graphene," Carbon 132, 78 84 (2018) 13. F. H. L. Koppens, D. E. Chang, and F. J. Garcia de Abajo, "Graphene plasmonics: A platform for strong lightmatter interactions," Nano Lett. 11(8) 3370 3377 (2011) 14. Q. Wang, C. Z. Li, S. Ge, J. G. Li, W. Lu, J. Lai, X. Liu, J. Ma, D. P. Yu, Z. M. Liao, and D. Sun, "Ultrafast Broadband Photodetectors Based on Three Dimensional Dirac Semimetal Cd3As2," Nano Lett. 17(2) 834 841 (2017) 15. X. Guo, W. Wang, H. Nan, Y. Yu, J. Jiang, W. Zhao, J. Li, Z. Zafar, N. Xiang, Z. Ni, W. Hu, Y. You, and Z. Ni, "High performance graphene photodetector using interfacial gating," Optica 3(10) 1066 (2016) 16. V. Miseikis, D. Convertino, N. Mishra, M. Gemmi, T. Mashoff, S. Heun, N. Haghighian, F. Bisio, M. Canepa, V. Piazza, and C. Coletti, "Rapid CVD growth of millimetre sized single crystal graphene using a cold wall reactor," 2D Mater. 2(1) 014006 (2015) 17. B. Luo, J. M. Caridad, P. R. Whelan, J. D. Thomsen, D. M. A. Mackenzie, A. Grubisic Cabo, S. K. Mahatha, M. Bianchi, P. Hofmann, P. U. Jepsen, P. Boggild, and T. J. Booth, "Sputtering an exterior metal coating on copper enclosure for large scale growth of single crystalline graphene," 2D Mater. 4(4) 045017 (2017) 18. S. Dhingra, J. F. Hsu, I. Vlassiouk, and B. D'Urso, "Chemical vapor deposition of graphene on large domain ultra flat copper," Carbon 69, 188 193 (2014) 19. M. Kim, A. Shah, C. Li, P. Mustonen, J. Susoma, F. Manoocheri, J. Riikonen, and H. Lipsanen, "Direct transfer of Wafer scale graphene films," 2D Mater. 4(3) 035004 (2017) 20. P. R. Whelan, B. S. Jessen, R. Wang, B. Luo, A. C. Stoot, D. M. A. Mackenzie, P. Braeuninger Weimer, A. Jouvray, L. Prager, L. Camilli, S. Hofmann, P. Boggild, and T. J. Booth, "Raman spectral indicators of catalyst decoupling for transfer of CVD grown 2D materials," Carbon 117, 75 81 (2017) 21. T. Yager, A. Lartsev, R. Yakimova, S. Lara Avila, and S. Kubatkin, "Wafer scale homogeneity of transport properties in epitaxial graphene on SiC," Carbon 87(C) 409 414 (2015) 22. P. Boggild, D. M. A. Mackenzie, P. R. Whelan, D. H. Petersen, J. D. Buron, A. Zurutuza, J. Gallop, L. Hao, and P. U. Jepsen, "Mapping the electrical properties of large area graphene," 2D Mater. 4(4) 042003 (2017) 23. L. Gammelgaard, J. M. Caridad, A. Cagliani, D. M. A. MacKenzie, D. H. Petersen, T. J. Booth, and P. Boggild, "Graphene transport properties upon exposure to PMMA processing and heat treatments," 2D Mater. 1(3) 1 6 (2014) 24. J. D. Buron, F. Pizzocchero, P. U. Jepsen, D. H. Petersen, J. M. Caridad, B. S. Jessen, T. J. Booth, and P. Boggild, "Graphene mobility mapping," Sci. Rep. 5(1) 12305 (2015) 25. J. D. Buron, D. M. A. Mackenzie, D. H. Petersen, A. Pesquera, A. Centeno, P. Boggild, A. Zurutuza, and P. U. Jepsen, "Terahertz wafer scale mobility mapping of graphene on insulating substrates without a gate," Opt. Express 23(24) 30721 30729 (2015) 26. D. M. A. Mackenzie, J. D. Buron, P. R. Whelan, B. S. Jessen, A. Silajdzic, A. Pesquera, A. Centeno, A. Zurutuza, P. Boggild, and D. H. Petersen, "Fabrication of CVD graphene based devices via laser ablation for wafer scale characterization," 2D Mater. 2(4) 045003 (2015) 27. J. D. Buron, D. H. Petersen, P. Boggild, D. G. Cooke, M. Hilke, J. Sun, E. Whiteway, P. F. Nielsen, O. Hansen, A. Yurgens, and P. U. Jepsen, "Graphene conductance uniformity mapping," Nano Lett. 12(10) 5074 5081 (2012) 28. P. R. Whelan, K. Iwaszczuk, R. Wang, S. Hofmann, P. Boggild, and P. U. Jepsen, "Robust mapping of electrical properties of graphene from terahertz time domain spectroscopy with timing jitter correction," Opt. Express 25(3) 2725 2732 (2017) 29. R. E. Glover and M. Tinkham, "Conductivity of superconducting films for photon energies between 0.3 and 40kTc," Phys. Rev. 108(2) 243 256 (1957) 30. D. M. A. Mackenzie, J. D. Buron, P. Boaggild, P. U. Jepsen, and D. H. Petersen, "Contactless graphene conductance measurements: the effect of device fabrication on terahertz time domain spectroscopy," Int. J. Nanotechnol. 13(8/9) 591 (2016) 31. D. M. A. Mackenzie, J. D. Buron, P. R. Whelan, J. M. Caridad, M. Bjergfelt, B. Luo, A. Shivayogimath, A. L. Smitshuysen, J. D. Thomsen, T. J. Booth, L. Gammelgaard, J. Zultak, B. S. Jessen, P. Boggild, and D. H. Petersen, "Quality assessment of graphene: Continuity, uniformity, and accuracy of mobility measurements," Nano Res. 10(10) 3596 3605 (2017) 32. L. J. van der Pauw, "A meothd of measuring the resistivity and Hall coefficent of lamellae of arbitrary shape," Phillips Tech. Rev. 20(I) 220 224 (1958) 33. J. Nahlik, I. Kasparkova, and P. Fitl, "Study of quantitative influence of sample defects on measurements of resistivity of thin films using van der Pauw method," Meas. J. Int. Meas. Confed. 44(10) 1968 1979 (2011) 34. J. Heo, H. J. Chung, S. H. Lee, H. Yang, D. H. Seo, J. K. Shin, U. I. Chung, S. Seo, E. H. Hwang, and S. Das Sarma, "Nonmonotonic temperature dependent transport in graphene grown by chemical vapor deposition," Phys. Rev. B 84(3) 035421 (2011) Vol. 26, No. 7 2 Apr 2018 OPTICS EXPRESS 9221
author_names: Musa M A

W R

S -
title: Quality assessment of terahertz time domain spectroscopy transmission and reflection modes for graphene conductivity mapping
year: 2018

abstract: We demonstrate non contact temperature measurement with one tenth of a kelvin precision at distances of several meters using omnidirectional laser emission from dye doped cholesteric liquid crystal droplets freely floating in a fluid medium. Upon the excitation with a pulsed laser the liquid crystal droplet emits laser light due to 3D Bragg lasing in all directions. The spectral position of the lasing is highly dependent on temperature, which enables remote and contact less temperature measurement with high precision. Both laser excitation and collection of light emitted by microlasers is performed through a wide telescope aperture optics at a distance of up to several meters. The optical excitation volume, where the droplets are excited and emitting the laser light is of the order of ten cubic millimeters. The measurement is performed with ten second accumulation time, when several droplets pass through the excitation volume due to their motion. The time of measurement could easily be shortened to less than a second by increasing the rate of the excitation laser. Since the method is based solely on measuring the spectral position of a single and strong laser line, it is quite insensitive to scattering, absorption and background signals, such as autofluorescence. This enables a wide use in science and industry, with a detection range exceeding tens of meters. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement OCIS codes: (120.0280) Remote sensing and sensors; (140.3945) Microcavities; (160.3710) Liquid crystals; (280.3420) Laser sensors; (280.6780) Temperature. References and links 1. P. de Gennes and J. Prost, The physics of liquid crystals (Oxford University, 1993) 2. H. Coles and S. Morris, "Liquid crystal lasers," Nat. Photonics 4, 676 (2010) 3. V. I. Kopp, B. Fan, H. Vithana, and A. Z. 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title: Remote and autonomous temperature measurement based on 3 D liquid crystal microlasers
year: 2018

abstract: The optical feedback dynamics of two multimode InAs/GaAs quantum dot lasers emitting exclusively on sole ground or excited lasing states is investigated. The transition from longto short delay regimes is analyzed, while the boundaries associated to the birth of periodic and chaotic oscillations are unveiled to be a function of the external cavity length. The results show that depending on the initial lasing state, different routes to chaos are observed. These results are of importance for the development of isolator free transmitters in short reach networks. (c) 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement OCIS codes: (140.5960) Semiconductor lasers; (250.0250) Optoelectronics; (190.3100) Instabilities and chaos. References and links 1. C. F. Lam, H. Liu, and R. 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author_names: H Uang

IN LYU-CHIHL

Christian Hen

D Ejan A Rsenijevic

D Ieter B Imberg

F Rederic G Rillot
title: Multimode optical feedback dynamics in InAs GaAs quantum dot lasers emitting exclusively on ground or excited states transition from short to long delay regimes
year: 2018

abstract: We show that phase change materials can be used to switch photonic nanostructures between cloaking and superscattering regimes at mid infrared wavelengths. More specifically, we investigate the scattering properties of subwavelength three layer cylindrical structures in which the material in the outer shell is the phase change material Ge2Sb2Te5 (GST) We first show that, when GST is switched between its amorphous and crystalline phases, properly designed electrically small structures can switch between resonant scattering and cloaking invisibility regimes. The contrast ratio between the scattering cross sections of the cloaking invisibility and resonant scattering regimes reaches almost unity. We then also show that larger, moderately small cylindrical structures can be designed to switch between superscattering and cloaking invisibility regimes, when GST is switched between its crystalline and amorphous phases. 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title: Switching photonic nanostructures between cloaking and superscattering regimes using phase change materials [Invited]
year: 2018

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author_names: Edgar M Medina

Nicolas E Buchler
title: Predatory protists
year: 2020

abstract: Geometries associated relative stabilities, averaged binding energy, fragmentation energy, second order energy difference and energy gaps of V doped germanium cationic clusters GenV+ (n 9 13) have been investigated by using density functional theory with the BP86 exchange correlation potential and effective core potential (ECP) LanL2DZ basis sets. Natural population analysis charge is also examined to understand the associated charge transfer in structures of clusters. When an electron is removed from neutral cluster GenV to form the cation cluster GenV+ geometric structure of the lowest energy isomers change. The endohedral cage structure of the cation clusters appears at n 10 in the cluster Ge10V+ The lowest energy isomers of cation cluster are in triplet state or singlet state. The cluster Ge10V+ is found to be the most stable in terms of stability parameters in the all system GenV+ (n 9 13) Keywords: BP86/LANL2DZ, binding energy, V Ge clusters, structure of clusters. 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author_names: Nguyen Huu Tho

Trang T K Tu
title: The Geometries, Stabilities and Electronic Property of Cationic Vanadium Doped Germanium Cluster GenV+ (n=9 13) from Density Functional Theory
venue: VNU Journal of Science: Natural Sciences and Technology
year: 2019

abstract: Mechanism and thermodynamical parameters of activation and reaction of model reaction underlying in the basisof chemical recycling of polycarbonates noncatalytic transesterification of diethyl carbonate by methanol are studied by B3LYP/6 311++G(df,p) quantum chemical method. Detailed description of two possible reaction mechanisms is carried out. They are: nucleophilic carbonyl atom substitution mechanism and "addition elimination" mechanism including allogenic addition of methanol to diethyl carbonate's carbonyl group which leads to tetrahedral intermediate formation and its further decomposition which results in new molecule of carbonate and alcohol formation. The second way that is rate limiting step characterizes by lower free energy barriers. Nevertheless, this way is problematical. It is explained by the fact that tetrahedral intermediates formation characterizes by low values of equilibrium constants. Both monomers and dimers of methanol can be involved in reactions. 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author_names: M V Korshunov

Nikita I Kurshev

Alexander Y Samuilov

Elena Prokhorova

Ya D Samuilov
title: Quantum chemical studying of noncatalytic methanolysis of diethyl carbonate
year: 2019

abstract: Biological tissue has a complex structure and exhibits rich spectroscopic behavior. There is no tissue model up to now able to account for the observed spectroscopy of tissue light scattering and its anisotropy. Here we present, for the first time, a plum pudding random medium (PPRM) model for biological tissue which succinctly describes tissue as a superposition of distinctive scattering structures (plum) embedded inside a fractal continuous medium of background refractive index fluctuation (pudding) PPRM faithfully reproduces the wavelength dependence of tissue light scattering and attributes the "anomalous" trend in the anisotropy to the plum and the powerlaw dependence of the reduced scattering coefficient to the fractal scattering pudding. Most importantly, PPRM opens up a novel venue of quantifying the tissue architecture and microscopic structures on average from macroscopic probing of the bulk with scattered light alone without tissue excision. 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author_names: Xu Min
title: Plum pudding random medium model of biological tissue toward remote microscopy from spectroscopic light scattering
year: 2014