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Numerical optimization is an important tool in the field of computational physics in general and in nano-optics in specific.
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Hu, J.; Ren, X.; Reed, A. N.; Reese, T.; Rhee, D.; Howe, B.; Lauhon, L. J.; Urbas, A. M.; Odom, T. W. Evolutionary Design and Prototyping of Single Crystalline Titanium Nitride Lattice Optics. ACS Photonics 2017
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Piggott, A. Y.; Lu, J.; Lagoudakis, K. G.; Petykiewicz, J.; Babinec, T. M.; Vučković, J. Inverse design and demonstration of a compact and broadband on-chip wavelength demultiplexer. Nature Photonics 2015
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Rehman, S. U.; Langelaar, M. System Robust Optimization of Ring Resonator-Based Optical Filters. J. Light. Technol. 2016
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2017
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Saber, M. G.; Ahmed, A.; Sagor, R. H. Performance analysis of a differential evolution algorithm in modeling parameter extraction of optical material. Silicon 2017
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Soltwisch, V.; Fernández Herrero, A.; Pflüger, M.; Haase, A.; Probst, J.; Laubis, C.; Krumrey, M.; Scholze, F. Reconstructing detailed line profiles of lamellar gratings from GISAXS patterns with a Maxwell solver. J. Appl. Crystallogr. 2017
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Soltwisch, V.; Fernández Herrero, A.; Pflüger, M.; Haase, A.; Probst, J.; Laubis, C.; Krumrey, M.; Scholze, F. Reconstructing detailed line profiles of lamellar gratings from GISAXS patterns with a Maxwell solver. J. Appl. Crystallogr. 2017
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Kaganskiy, A.; Fischbach, S.; Strittmatter, A.; Rodt, S.; Heindel, T.; Reitzenstein, S. Enhancing the photon-extraction efficiency of site-controlled quantum dots by deterministically fabricated microlenses. Opt. Communications 2018
2018
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Christiansen, R.; Vester-Petersen, J.; Madsen, S.; Sigmund, O. A non-linear material interpolation for design of metallic nano-particles using topology optimization. Computer Methods in Applied Mechanics and Engineering 2018
2018
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Rahimzadegan, A.; Rockstuhl, C.; Fernandez-Corbaton, I. Core-shell particles as building blocks for systems with high duality symmetry. Physical Review Applied 2018
2018
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How Hyperparameter Tuning Works on Amazon SageMaker. https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-how-it-works.html , 2018
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Gutsche, P.; Schneider, P.-I.; Burger, S.; Nieto-Vesperinas, M. Chiral scatterers designed by Bayesian optimization. J. Phys. Conf. Ser. 2018
2018
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Qin, F.; Liu, Z.; Zhang, Q.; Zhang, H.; Xiao, J. Mantle Cloaks Based on the Frequency Selective Metasurfaces Designed by Bayesian Optimization. Scientific reports 2018
2018
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Malkiel, I.; Mrejen, M.; Nagler, A.; Arieli, U.; Wolf, L.; Suchowski, H. Plasmonic nanostructure design and characterization via Deep Learning. Light: Science & Applications 2018
2018
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Hammerschmidt, M.; Schneider, P.-I.; Santiago, X. G.; Zschiedrich, L.; Weiser, M.; Burger, S. Solving inverse problems appearing in design and metrology of diffractive optical elements by using Bayesian optimization. Proc. SPIE 2018
2018
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Schneider, P.-I.; Srocka, N.; Rodt, S.; Zschiedrich, L.; Reitzenstein, S.; Burger, S. Numerical optimization of the extraction efficiency of a quantum-dot based single-photon emitter into a single-mode fiber. Opt. Express 2018
2018
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Garcia-Santiago, X.; Schneider, P.-I.; Rockstuhl, C.; Burger, S. Shape design of a reflecting surface using Bayesian Optimization. J. Phys. Conf. Ser. 2018
2018
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Schneider, P.-I.; Srocka, N.; Rodt, S.; Zschiedrich, L.; Reitzenstein, S.; Burger, S. Numerical optimization of the extraction efficiency of a quantum-dot based single-photon emitter into a single-mode fiber. Opt. Express 2018
2018
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JCMsuite - The simulation suite for nanooptics. https://jcmwave.com , 2019
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JCMsuite - The simulation suite for nanooptics. https://jcmwave.com , 2019
2019
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