Academic literature on the topic 'Nanophotonic method'

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Journal articles on the topic "Nanophotonic method"

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So, Sunae, and Junsuk Rho. "Designing nanophotonic structures using conditional deep convolutional generative adversarial networks." Nanophotonics 8, no. 7 (2019): 1255–61. http://dx.doi.org/10.1515/nanoph-2019-0117.

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AbstractData-driven design approaches based on deep learning have been introduced in nanophotonics to reduce time-consuming iterative simulations, which have been a major challenge. Here, we report the first use of conditional deep convolutional generative adversarial networks to design nanophotonic antennae that are not constrained to predefined shapes. For given input reflection spectra, the network generates desirable designs in the form of images; this allows suggestions of new structures that cannot be represented by structural parameters. Simulation results obtained from the generated de
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Wang, Rui, Baicheng Zhang, Guan Wang, and Yachen Gao. "A Quick Method for Predicting Reflectance Spectra of Nanophotonic Devices via Artificial Neural Network." Nanomaterials 13, no. 21 (2023): 2839. http://dx.doi.org/10.3390/nano13212839.

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Nanophotonics use the interaction between light and subwavelength structures to design nanophotonic devices and to show unique optical, electromagnetic, and acoustic properties that natural materials do not have. However, this usually requires considerable expertise and a lot of time-consuming electromagnetic simulations. With the continuous development of artificial intelligence, people are turning to deep learning for designing nanophotonic devices. Deep learning models can continuously fit the correlation function between the input parameters and output, using models with weights and biases
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Gómez-Gómez, Maribel, Ángela Ruiz-Tórtola, Daniel González-Lucas, María-José Bañuls, and Jaime García-Rupérez. "New Method for Online Regeneration of Silicon-Based Nanophotonic Biosensors." Proceedings 4, no. 1 (2018): 22. http://dx.doi.org/10.3390/ecsa-5-05741.

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The optimal development of biosensors is a costly and time-consuming task, since an enormous amount of experiments is required. Therefore, the possibility of reusing the biosensors is highly desirable. In this work, a protocol based on the use of formamide for the regeneration of nanophotonic biosensors used for oligonucleotides detection is presented. This protocol was carried out online using the microfluidic system used to drive the target samples to the nanophotonic biosensor, thus allowing the possibility of running several experiments in a row using the same biosensor.
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Borodin, B. R., F. A. Benimetskiy, V. Yu Davydov, et al. "Mechanical scanning probe lithography of nanophotonic devices based on multilayer TMDCs." Journal of Physics: Conference Series 2015, no. 1 (2021): 012020. http://dx.doi.org/10.1088/1742-6596/2015/1/012020.

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Abstract In this work, we demonstrate the possibility of using mechanical Scanning probe lithography (m-SPL) for fabricating nanophotonic devices based on multilayered transition metal dichalcogenides (TMDCs). By m-SPM, we created a nanophotonic resonator from a 70-nm thick MoSe2 flake transferred on Si/Au substrate. The optical properties of the created structure were investigated by measuring microphotoluminescence. The resonator exhibits four resonance PL peaks shifted in the long-wavelength area from the flake PL peak. Thus, here we demonstrate that m-SPL is a high-precision lithography me
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BALILI, RYAN B. "TRANSFER MATRIX METHOD IN NANOPHOTONICS." International Journal of Modern Physics: Conference Series 17 (January 2012): 159–68. http://dx.doi.org/10.1142/s2010194512008057.

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Being able to manipulate light and confine it to small length scales have a multitude of applications in modern technology. Predicting the behavior of nanophotonic devices and the realization of new ones will greatly benefit from insights offered by analytical calculations and numerical modeling. In this paper, we elucidate the fundamental electromagnetic responses of materials and introduce a versatile technique, called transfer matrix method, in modeling the behavior of nanoscale heterostructures. Its application in novel photonic devices such as semiconductor microcavities and surface plasm
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Kumar, Ravi, S. J. Yoon, K. G. Lee, et al. "Purification method dependent fluorescence from nitrogen-vacancy (NV) centers of nano-diamonds." RSC Advances 6, no. 52 (2016): 47164–73. http://dx.doi.org/10.1039/c6ra01510g.

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Nanodiamonds purified through acid reflux and air oxidation methods shows difference in their water dispersibility, particle shape and fluorescence intensity deciding their selective preference for biophotonic and nanophotonic applications.
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Yuan, Hongyi, Zhouhui Liu, Maoliang Wei, Hongtao Lin, Xiaoyong Hu, and Cuicui Lu. "Topological Nanophotonic Wavelength Router Based on Topology Optimization." Micromachines 12, no. 12 (2021): 1506. http://dx.doi.org/10.3390/mi12121506.

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The topological nanophotonic wavelength router, which can steer light with different wavelength signals into different topological channels, plays a key role in optical information processing. However, no effective method has been found to realize such a topological nanophotonic device. Here, an on-chip topological nanophotonic wavelength router working in an optical telecom band is designed based on a topology optimization algorithm and experimentally demonstrated. Valley photonic crystal is used to provide a topological state in the optical telecom band. The measured topological wavelength r
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Lee, Jaechul, Cédric Killian, Sebastien Le Beux, and Daniel Chillet. "Distance-aware Approximate Nanophotonic Interconnect." ACM Transactions on Design Automation of Electronic Systems 27, no. 2 (2022): 1–30. http://dx.doi.org/10.1145/3484309.

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The energy consumption of manycore architectures is dominated by data movement, which calls for energy-efficient and high-bandwidth interconnects. To overcome the bandwidth limitation of electrical interconnects, integrated optics appear as a promising technology. However, it suffers from high power overhead related to low laser efficiency, which calls for the use of techniques and methods to improve its energy costs. Besides, approximate computing is emerging as an efficient method to reduce energy consumption and improve execution speed of embedded computing systems. It relies on allowing ac
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Chakravarthula, Praneeth, Jipeng Sun, Xiao Li, et al. "Thin On-Sensor Nanophotonic Array Cameras." ACM Transactions on Graphics 42, no. 6 (2023): 1–18. http://dx.doi.org/10.1145/3618398.

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Today's commodity camera systems rely on compound optics to map light originating from the scene to positions on the sensor where it gets recorded as an image. To record images without optical aberrations, i.e., deviations from Gauss' linear model of optics, typical lens systems introduce increasingly complex stacks of optical elements which are responsible for the height of existing commodity cameras. In this work, we investigate flat nanophotonic computational cameras as an alternative that employs an array of skewed lenslets and a learned reconstruction approach. The optical array is embedd
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Mitrovic, Aleksandra, Bozica Bojovic, Dragomir Stamenkovic, and Dejana Popovic. "Characterization of surface roughness of new nanophotonic soft contact lenses using lacunarity and AFM method." Chemical Industry 72, no. 3 (2018): 157–66. http://dx.doi.org/10.2298/hemind170924004m.

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The aim of this study was to develop new soft contact lens (SCL) materials which would, after recommended and existing machining processes, improve surface roughness. Nanomaterials (fullerene, fullerol and methformin hydroxylate fullerene) were incorporated into commercial material for SCL (SL38) based on PHEMA, which were derived by the technology in the production lab of the company Soleko (Milan, Italy). Nanophotonic SCLs (SL38-A, SL38-B, SL38-C, respectively) were produced in the company Optix (Belgrade, Serbia) from the obtained materials. For the surface characterization of SCLs, AFM ana
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Dissertations / Theses on the topic "Nanophotonic method"

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Bilash, О. М., О. М. Galaichenko, O. A. Sushko, and M. M. Rozhitskii. "New nanophotonic detection method of benzo[a]pyrene." Thesis, КНУ імені Тараса Шевченка, 2011. http://openarchive.nure.ua/handle/document/8853.

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Benzo[a]pyrene is the representative of polycyclic aromatic hydrocarbons family, the substance of the first hazard class. In present work for the development of novel nanophotonic assay method as a PAH representative benzo[a]pyrene was choose.
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Sushko, O. A., О. М. Bilash, and M. M. Rozhitskii. "Nanophotonic method for polycyclic aromatic hydrocarbons detection in water." Thesis, ISE, 2012. http://openarchive.nure.ua/handle/document/8866.

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Polycyclic aromatic hydrocarbons (PAHs) are the widespread environmental contaminants that can be found in atmosphere, water, soil, sediment and organisms. Among most dangerous PAHs is benzo[a]pyrene (BP). The effects of BP on health are: short-term when people are exposed to it at levels above the maximum contaminant level (MCL) (0.2 ppm) for relatively short periods of time leading to red blood cells damage, anemia ect; suppression of immune system and long-term, when human beings are exposured do BP influence at levels above the MCL namely effects on reproducibility and high probability of
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Sushko, O. A., О. М. Bilash, and M. M. Rozhitskii. "Nanophotonic method of organic carcinogens detection in water objects." Thesis, Technische Universität Ilmenau, 2012. http://openarchive.nure.ua/handle/document/8867.

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Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental agents commonly believed to contribute significantly to human cancers pathologies. PAHs are formed in the process of incomplete combustion of organic material and are found widely in the environment, for example, in water, food, soil etc. so human exposure to PAHs is unavoidable. Like many other carcinogens, polycyclic aromatic hydrocarbons are metabolized enzymatically to various metabolites, of which some are highly reaction active. One of the most dangerous organic PAHs carcinogens is benzo[a]pyrene (BP). There are known m
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Sushko, O. A., О. М. Bilash, and M. M. Rozhitskii. "Nanophotonic method and sensor for polycyclic aromatic hydrocarbons detection." Thesis, ECL 2014, 2014. http://openarchive.nure.ua/handle/document/8963.

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Anthropogenic pollution of environmental water is a huge problem for humanity today as it leads to an increase of incurable diseases. For example, the penetration into the organism of organic carcinogens such as polycyclic aromatic hydrocarbons (PAHs) can lead to the development of cancer tumors. Among PAHs the most dangerous is 3,4-benzopyrene (BP). There are a number of analytical methods for BP detection such as chromatographic, immuno-chemical, spectroscopic, luminescent and biological methods. But these methods beside their advantages have a number of significant shortcomings such as high
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Sushko, O. A., О. М. Bilash, and M. M. Rozhitskii. "Nanophotonic method for polycyclic aromatic hydrocarbons detection in water solutions." Thesis, Eurosvit, 2013. http://openarchive.nure.ua/handle/document/8870.

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Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental agents commonly believed to contribute significantly to human cancer pathologies. One of the most dangerous organic PAHs carcinogens is benzo[a]pyrene (BP). Like many other carcinogens, PAHs are metabolized enzymatically to various metabolites, some of which are highly reaction active. Proposed nanophotonic analytical method is based on the process of QDs transfer to ionic forms in an EC process and their subsequent reactions with oppositely charged ionic forms of the analyte – PAHs (BP) inside ECL cell, resulting in the for
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Arca, Ahmet. "The design and optimisation of nanophotonic devices using the Finite Element Method." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11169/.

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The aim of this thesis is to develop a technique which can be used in the reliable modelling, design and optimisation of practical suboptical wavelength sized photonic/plasmonic devices, which may involve arbitrary geometries on various scales. The technique involves the application of numerical electromagnetic simulation led by theoretical knowledge and physical insight to determine, design and optimise the operating mechanism of such devices. The work in this thesis contains a variety of problems/devices which involve arbitrary structures of different scales. This poses difficulties in both
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Bilash, О. М., О. М. Galaichenko, O. A. Sushko, and M. M. Rozhitskii. "Benzo[a]pyrene its influence on human organism and new nanophotonic detection method." Thesis, Benzo[a]pyrene its influence on human organism and new nanophotonic detection method, 2011. http://openarchive.nure.ua/handle/document/8860.

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Benzo[a]pyrene (BaP) is representative of polycyclic aromatic hydrocarbons (PAHs) family, the substance of the first hazard class. In an environmental, BaP accumulates mainly in a soil and less in a water. It comes from soil to plants and human tissues and continues to move on in the food chain in living organisms where at each stage the BaP concentration is increasing sufficiently. To human organism BaP can come through skin, respiratory organs, digestive system and transplacental infections. Besides that BaP is the most typical chemical carcinogen in environmental, it is dangerous to humans
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Natarajan, Aswani. "Electromagnetic modelling of graphene-based nanophotonic devices : modal and scattering approaches using the finite element method." Thesis, Aix-Marseille, 2021. http://www.theses.fr/2021AIXM0472.

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La plasmonique basée sur les matériaux 2D est un domaine en plein essor dans la photonique, avec des implications technologiques potentielles révolutionnaires dans des domaines aussi variés que le diagnostic, l'énergie et la communication. Le graphène, un matériau 2D unique et doté d'excellentes propriétés plasmoniques, est une alternative prometteuse aux métaux nobles conventionnels dans le domaine de la plasmonique, notamment en raison de ses propriétés accordables en fréquence. Le graphène est modélisé dans cette thèse comme une feuille conductrice infiniment mince dans le cadre des élément
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Hammond, Alec Michael. "Machine Learning Methods for Nanophotonic Design, Simulation, and Operation." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7131.

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Interest in nanophotonics continues to grow as integrated optics provides an affordable platform for areas like telecommunications, quantum information processing, and biosensing. Designing and characterizing integrated photonics components and circuits, however, remains a major bottleneck. This is especially true when complex circuits or devices are required to study a particular phenomenon.To address this challenge, this work develops and experimentally validates a novel machine learning design framework for nanophotonic devices that is both practical and intuitive. As case studies, artifici
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König, Michael Christian [Verfasser], and K. [Akademischer Betreuer] Busch. "Discontinuous Galerkin Methods in Nanophotonics / Michael Christian König. Betreuer: K. Busch." Karlsruhe : KIT-Bibliothek, 2011. http://d-nb.info/1014279968/34.

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Books on the topic "Nanophotonic method"

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Junghyun, Park, and Lee Byoungho, eds. Fourier modal method and its applications in computational nanophotonics. Taylor & Francis, 2012.

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Kim, Hwi. Fourier modal method and its applications in computational nanophotonics. Taylor & Francis, 2012.

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Nanosilicon: Properties, Synthesis, Applications, Methods of Analysis and Control. Taylor & Francis Group, 2014.

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Ischenko, Anatoly A., Gennady V. Fetisov, and Leonid A. Aslalnov. Nanosilicon: Properties, Synthesis, Applications, Methods of Analysis and Control. Taylor & Francis Group, 2014.

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Ischenko, Anatoly A., Gennady V. Fetisov, and Leonid A. Aslalnov. Nanosilicon: Properties, Synthesis, Applications, Methods of Analysis and Control. Taylor & Francis Group, 2014.

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Kim, Hwi, Byoungho Lee, and Junghyun Park. Fourier Modal Method and Its Applications in Computational Nanophotonics. Taylor & Francis Group, 2017.

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Kim, Hwi. Fourier Modal Method and Its Applications in Computational Nanophotonics. Taylor & Francis Group, 2012.

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Kim, Hwi, Byoungho Lee, and Junghyun Park. Fourier Modal Method and Its Applications in Computational Nanophotonics. Taylor & Francis Group, 2017.

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Kim, Hwi, Byoungho Lee, and Junghyun Park. Fourier Modal Method and Its Applications in Computational Nanophotonics. Taylor & Francis Group, 2017.

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Kim, Hwi, Byoungho Lee, and Junghyun Park. Fourier Modal Method and Its Applications in Computational Nanophotonics. Taylor & Francis Group, 2017.

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Book chapters on the topic "Nanophotonic method"

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Meinl, Tamara, Nadine Götte, Yousuf Khan, et al. "Material Processing of Dielectrics via Temporally Shaped Femtosecond Laser Pulses as Direct Patterning Method for Nanophotonic Applications." In Nanoscience Advances in CBRN Agents Detection, Information and Energy Security. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9697-2_3.

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Cristurean, Elena, Dana Marinescu, Rodica Olar, et al. "Magnetic and Morphologic Characterisation of Some Substituted Ferrites Synthesised by a Non-Conventional Method." In Organic Nanophotonics. Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-010-0103-8_15.

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Garcia-Parajo, Maria F. "The Role of Nanophotonics in Regenerative Medicine." In Methods in Molecular Biology. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-388-2_17.

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Lesina, Antonino Calà, Alessandro Vaccari, Pierre Berini, and Lora Ramunno. "FDTD Method and HPC for Large-Scale Computational Nanophotonics." In NATO Science for Peace and Security Series B: Physics and Biophysics. Springer Netherlands, 2017. http://dx.doi.org/10.1007/978-94-024-0850-8_25.

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Kotsiuba, Yu, H. Petrovska, V. Fitio, and Ya Bobitski. "Digital Interferometry Methods for the Surface Relief Study." In Nanooptics, Nanophotonics, Nanostructures, and Their Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91083-3_14.

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Kravchuk, O., R. Lesyuk, Ya Bobitski, and M. Reichenberger. "Sintering Methods of Inkjet-Printed Silver Nanoparticle Layers." In Nanooptics, Nanophotonics, Nanostructures, and Their Applications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91083-3_23.

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Stopka, Sylwia A., and Akos Vertes. "Toward Single Cell Molecular Imaging by Matrix-Free Nanophotonic Laser Desorption Ionization Mass Spectrometry." In Methods in Molecular Biology. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9831-9_11.

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Huang, Lujun, Lei Xu, and Andrey E. Miroshnichenko. "Deep Learning Enabled Nanophotonics." In Advances and Applications in Deep Learning. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93289.

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Deep learning has become a vital approach to solving a big-data-driven problem. It has found tremendous applications in computer vision and natural language processing. More recently, deep learning has been widely used in optimising the performance of nanophotonic devices, where the conventional computational approach may require much computation time and significant computation source. In this chapter, we briefly review the recent progress of deep learning in nanophotonics. We overview the applications of the deep learning approach to optimising the various nanophotonic devices. It includes m
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"Numerical methods for diffraction theory." In Diffractive Nanophotonics. CRC Press, 2014. http://dx.doi.org/10.1201/b16898-3.

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Basu, Prasanta Kumar, Bratati Mukhopadhyay, and Rikmantra Basu. "Optical microcavities." In Semiconductor Nanophotonics. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198784692.003.0010.

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Abstract Optical cavities or resonators having dimensions of the order of cube of the wavelength, are introduced with the definitions of DOM, mode volume, quality factor, finesse, and loss mechanisms in general. The simplest resonator structures, the FP resonator, Bragg gratings and mirrors, and ring resonators and their characteristics are presented next. Resonators working with whispering gallery modes, different structures used, and both ray-optic and electromagnetic theories to understand their operations are also discussed. The formation of photonic band gap in photonic crystal is illustr
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Conference papers on the topic "Nanophotonic method"

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Martin-Monier, Louis, Charles Roques-Carmes, Simo Pajovic, Juejun Hu, and Marin Soljačić. "Large-scale self-assembled nanophotonic scintillators for X-ray imaging." In CLEO: Fundamental Science. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_fs.2024.ftu3g.1.

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We develop a scalable fabrication method for nanophotonic scintillators embedded with self-assembled nanophotonic structures. We demonstrate a 2.6-fold scintillation enhancement in a conventional scintillator over 4×4cm, showing the potential of our technique for X-ray imaging.
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Kojima, Keisuke, Jianing Liu, and Roberto Paiella. "Inverse Design of Plasmonic Phase-Contrast Image Sensors Using Denoising Diffusion Probabilistic Model." In CLEO: Fundamental Science. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_fs.2024.fth1r.4.

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We use a generative deep learning method based on denoising diffusion probabilistic model to design plasmonic phase-imaging sensors for broadband operation. This flexible method enables optimized inverse design for a wide range of nanophotonic devices.
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Berguiga, Lotfi, Théo Girerd, Fabien Mandorlo, Cécile Jamois, Taha Benyattou, and Lydie Ferrier. "Young’s interference hologram generated with a spatial light modulator for nanophotonic sensor." In Digital Holography and Three-Dimensional Imaging. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/dh.2024.m4a.5.

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A new method of phase interrogation of photonic sensors is proposed. The method relies on the Young’s interference experiment generated by holography with a DMD. Phase variations have been measured for photonic crystal temperature sensor.
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Kirya, Paula, Lisa Poulikakos, Aida Farrera, Omonigho A. Aisagbonhi, and Jing Yang. "Nature-derived nanophotonic materials for diagnostic imaging." In Novel Optical Systems, Methods, and Applications XXVII, edited by Cornelius F. Hahlweg and Joseph R. Mulley. SPIE, 2024. http://dx.doi.org/10.1117/12.3028314.

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Rouxel, A., A. Monmayrant, S. Calvez, and O. Gauthier-Lafaye. "Selective modal excitation of a nanophotonic cavity with a programmable phase mask." In Adaptive Optics: Methods, Analysis and Applications. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/aopt.2024.of4f.2.

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Selective spatial mode excitation of a grating-coupled multimode micro-cavity is achieved using an incident beam shaped with a programmable phase mask. Real-time control of the phase mask coupled to differential evolution algorithm allows access to individual modes with high selectivity up to the tenth order.
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Beilina, L., L. Mpinganzima, and P. Tassin. "Adaptive finite element method in nanophotonic simulations." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2016). Author(s), 2017. http://dx.doi.org/10.1063/1.4992551.

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Bardi, Istvan, Leon Vardapetyan, and John Manges. "Characterization of nanophotonic structures using the finite element method." In 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation (CEFC 2010). IEEE, 2010. http://dx.doi.org/10.1109/cefc.2010.5481331.

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Lalau-Keraly, Christopher, Samarth Bhargava, Vidya Ganapati, and Eli Yablonovitch. "Shape Optimization of Nanophotonic Devices Using the Adjoint Method." In CLEO: Science and Innovations. OSA, 2014. http://dx.doi.org/10.1364/cleo_si.2014.stu2m.6.

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Lu, Xun, Yong Kyu Kim, Seong-min Lee, et al. "Design of Nanophotonic Devices using Multi Objective Optimization Method." In 2022 13th International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2022. http://dx.doi.org/10.1109/ictc55196.2022.9952410.

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Dastmalchi, Pouya, Amirreza Mahigir, and Georgios Veronis. "Analytical method for the sensitivity analysis of active nanophotonic devices." In SPIE Nanoscience + Engineering, edited by Ganapathi S. Subramania and Stavroula Foteinopoulou. SPIE, 2016. http://dx.doi.org/10.1117/12.2238246.

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