
Fedor Getman
PhD Student
Fedor completed his bachelor and master degree at Pisa University with a thesis on THz Near-field microscopy at National Enterprise for Nano-Science and Nano-Technology (NEST) of Pisa. He participated in organizing and teaching multiple stages addressed to high school students for preparation of the math and physics Olympiads.
Fedor joined primalight in January 2018. Fedor’s research focuses on fabrication of nanostructures for wavefront engineering and optical neural networks
email: fedor.getman@kaust.edu.sa
location: building 1, level 4, 4200-SW38
Fedor’s research projects
Fedor’s publications
2021
Fratalocchi, Andrea; Lopez, Arturo Burguete; Makarenko, Maxsim; Getman, Fedor; Wang, Qizhou
Light Processing Device Based on Multilayer Nano-Elements Miscellaneous
3918384 (published), 2021, (multilayer metasurface technology keywords = AI photonics).
BibTeX | Tags:
@misc{flato,
title = {Light Processing Device Based on Multilayer Nano-Elements},
author = {Andrea Fratalocchi and Arturo Burguete Lopez and Maxsim Makarenko and Fedor Getman and Qizhou Wang},
year = {2021},
date = {2021-12-08},
crossref = {3918384},
howpublished = {3918384 (published)},
note = {multilayer metasurface technology keywords = AI photonics},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Fratalocchi, Andrea; Lopez, Arturo Burguete; Makarenko, Maxsim; Getman, Fedor; Wang, Qizhou
HOCULUS Imaging System Miscellaneous
USSN 63/277,741 (pending), 2021, (HOCULUS imaging technology keywords = AI photonics).
BibTeX | Tags:
@misc{hoculus,
title = {HOCULUS Imaging System},
author = {Andrea Fratalocchi and Arturo Burguete Lopez and Maxsim Makarenko and Fedor Getman and Qizhou Wang},
year = {2021},
date = {2021-12-08},
crossref = {USSN 63/277,741},
howpublished = {USSN 63/277,741 (pending)},
note = {HOCULUS imaging technology keywords = AI photonics},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Getman, F; Makarenko, M; Burguete-Lopez, A; Fratalocchi, A
Broadband vectorial ultrathin optics with experimental efficiency up to 99% in the visible region via universal approximators Journal Article
In: Light: Science & Applications, vol. 10, no. 1, pp. 47, 2021, ISSN: 2047-7538.
Abstract | Links | BibTeX | Tags:
@article{Getman2021,
title = {Broadband vectorial ultrathin optics with experimental efficiency up to 99% in the visible region via universal approximators},
author = {F Getman and M Makarenko and A Burguete-Lopez and A Fratalocchi},
url = {https://doi.org/10.1038/s41377-021-00489-7},
doi = {10.1038/s41377-021-00489-7},
issn = {2047-7538},
year = {2021},
date = {2021-03-04},
journal = {Light: Science & Applications},
volume = {10},
number = {1},
pages = {47},
abstract = {Integrating conventional optics into compact nanostructured surfaces is the goal of flat optics. Despite the enormous progress in this technology, there are still critical challenges for real-world applications due to the limited operational efficiency in the visible region, on average lower than 60%, which originates from absorption losses in wavelength-thick (≈ 500thinspacenm) structures. Another issue is the realization of on-demand optical components for controlling vectorial light at visible frequencies simultaneously in both reflection and transmission and with a predetermined wavefront shape. In this work, we developed an inverse design approach that allows the realization of highly efficient (up to 99%) ultrathin (down to 50thinspacenm thick) optics for vectorial light control with broadband input--output responses in the visible and near-IR regions with a desired wavefront shape. The approach leverages suitably engineered semiconductor nanostructures, which behave as a neural network that can approximate a user-defined input--output function. Near-unity performance results from the ultrathin nature of these surfaces, which reduces absorption losses to near-negligible values. Experimentally, we discuss polarizing beam splitters, comparing their performance with the best results obtained from both direct and inverse design techniques, and new flat-optics components represented by dichroic mirrors and the basic unit of a flat-optics display that creates full colours by using only two subpixels, overcoming the limitations of conventional LCD/OLED technologies that require three subpixels for each composite colour. Our devices can be manufactured with a complementary metal-oxide-semiconductor (CMOS)-compatible process, making them scalable for mass production at low cost.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Makarenko, Maksim; Wang, Qizhou; Burguete-Lopez, Arturo; Getman, Fedor; Fratalocchi, Andrea
Robust and Scalable Flat-Optics on Flexible Substrates via Evolutionary Neural Networks Journal Article
In: Advanced Intelligent Systems, vol. n/a, no. n/a, pp. 2100105, 2021.
Abstract | Links | BibTeX | Tags: flexible flat optics, inverse design, neural networks, robust design
@article{https://doi.org/10.1002/aisy.202100105,
title = {Robust and Scalable Flat-Optics on Flexible Substrates via Evolutionary Neural Networks},
author = {Maksim Makarenko and Qizhou Wang and Arturo Burguete-Lopez and Fedor Getman and Andrea Fratalocchi},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/aisy.202100105},
doi = {https://doi.org/10.1002/aisy.202100105},
year = {2021},
date = {2021-01-01},
journal = {Advanced Intelligent Systems},
volume = {n/a},
number = {n/a},
pages = {2100105},
abstract = {In the past 20 years, flat-optics has emerged as a promising light manipulation technology, surpassing bulk optics in performance, versatility, and miniaturization capabilities. As of today, however, this technology is yet to find widespread commercial applications. One of the challenges is obtaining scalable and highly efficient designs that can withstand the fabrication errors associated with nanoscale manufacturing techniques. This problem becomes more severe in flexible structures, in which deformations appear naturally when flat-optics structures are conformally applied to, for example, biocompatible substrates. Herein, an inverse design platform that enables the fast design of flexible flat-optics that maintain high performance under deformations of their original geometry is presented. The platform leverages on suitably designed evolutionary large-scale optimizers, equipped with fast-trained neural network predictors based on encoder decoder architectures. This approach supports the implementation of flexible flat-optics robust to both fabrication errors or user-defined perturbation stress. This method is validated by a series of experiments in which broadband flexible light polarizers, which maintain an average polarization efficiency of 80% over 200 nm bandwidths when measured under large mechanical deformations, are realized. These results could be helpful for the realization of a robust class of flexible flat-optics for biosensing, imaging, and biomedical devices.},
keywords = {flexible flat optics, inverse design, neural networks, robust design},
pubstate = {published},
tppubtype = {article}
}
Wang, Qizhou; Makarenko, Maksim; Lopez, Arturo Burguete; Getman, Fedor; Fratalocchi, Andrea
Advancing statistical learning and artificial intelligence in nanophotonics inverse design Journal Article
In: Nanophotonics, 2021.
@article{WangMakarenkoBurgueteLopezGetmanFratalocchi+2021,
title = {Advancing statistical learning and artificial intelligence in nanophotonics inverse design},
author = {Qizhou Wang and Maksim Makarenko and Arturo Burguete Lopez and Fedor Getman and Andrea Fratalocchi},
url = {https://doi.org/10.1515/nanoph-2021-0660},
doi = {doi:10.1515/nanoph-2021-0660},
year = {2021},
date = {2021-01-01},
journal = {Nanophotonics},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Li, Ning; Xiang, Fei; Elizarov, Maxim S.; Makarenko, Maxim; Lopez, Arturo B.; Getman, Fedor; Bonifazi, Marcella; Mazzone, Valerio; Fratalocchi, Andrea
Large-Scale and Wide-Gamut Coloration at the Diffraction Limit in Flexible, Self-Assembled Hierarchical Nanomaterials Journal Article
In: Advanced Materials, pp. 2108013, 2021.
Abstract | Links | BibTeX | Tags: dielectrics, nanostructured materials, optical nanoresonators, structural color
@article{https://doi.org/10.1002/adma.202108013c,
title = {Large-Scale and Wide-Gamut Coloration at the Diffraction Limit in Flexible, Self-Assembled Hierarchical Nanomaterials},
author = {Ning Li and Fei Xiang and Maxim S. Elizarov and Maxim Makarenko and Arturo B. Lopez and Fedor Getman and Marcella Bonifazi and Valerio Mazzone and Andrea Fratalocchi},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.202108013},
doi = {https://doi.org/10.1002/adma.202108013},
year = {2021},
date = {2021-01-01},
journal = {Advanced Materials},
pages = {2108013},
abstract = {Abstract Unveiling physical phenomena that generate controllable structural coloration is at the center of significant research efforts due to the platform potential for the next generation of printing, sensing, displays, wearable optoelectronics components, and smart fabrics. Colors based on e-beam facilities possess high resolutions above 100k dots per inch (DPI), but limit manufacturing scales up to 4.37 cm2, while requiring rigid substrates that are not flexible. State-of-art scalable techniques, on the contrary, provide either narrow gamuts or small resolutions. A common issue of current methods is also a heterogeneous resolution, which typically changes with the color printed. Here, a structural coloration platform with broad gamuts exceeding the red, green, and blue (RGB) spectrum in inexpensive, thermally resistant, flexible, and metallic-free structures at constant 101 600 DPI (at the diffraction limit), obtained via mass-production manufacturing is demonstrated. This platform exploits a previously unexplored physical mechanism, which leverages the interplay between strong scattering modes and optical resonances excited in fully 3D dielectric nanostructures with suitably engineered longitudinal profiles. The colors obtained with this technology are scalable to any area, demonstrated up to the single wafer (4 in.). These results open real-world applications of inexpensive, high-resolution, large-scale structural colors with broad chromatic spectra.},
keywords = {dielectrics, nanostructured materials, optical nanoresonators, structural color},
pubstate = {published},
tppubtype = {article}
}
2020
Makarenko, M; Burguete-Lopez, A; Getman, F; Fratalocchi, A
Generalized Maxwell projections for multi-mode network Photonics Journal Article
In: Scientific Reports, vol. 10, no. 1, pp. 9038, 2020, ISSN: 2045-2322.
Abstract | Links | BibTeX | Tags:
@article{Makarenko2020,
title = {Generalized Maxwell projections for multi-mode network Photonics},
author = {M Makarenko and A Burguete-Lopez and F Getman and A Fratalocchi},
url = {https://doi.org/10.1038/s41598-020-65293-6},
doi = {10.1038/s41598-020-65293-6},
issn = {2045-2322},
year = {2020},
date = {2020-06-03},
journal = {Scientific Reports},
volume = {10},
number = {1},
pages = {9038},
abstract = {The design of optical resonant systems for controlling light at the nanoscale is an exciting field of research in nanophotonics. While describing the dynamics of few resonances is a relatively well understood problem, controlling the behavior of systems with many overlapping states is considerably more difficult. In this work, we use the theory of generalized operators to formulate an exact form of spatio-temporal coupled mode theory, which retains the simplicity of traditional coupled mode theory developed for optical waveguides. We developed a fast computational method that extracts all the characteristics of optical resonators, including the full density of states, the modes quality factors, and the mode resonances and linewidths, by employing a single first principle simulation. This approach can facilitate the analytical and numerical study of complex dynamics arising from the interactions of many overlapping resonances, defined in ensembles of resonators of any geometrical shape and in materials with arbitrary responses.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2019
Fratalocchi, Andrea; Lopez, Arturo Burguete; Makarenko, Maxsim; Getman, Fedor
Flat optics polarizing beam splitter Miscellaneous
App. No. 62/799,324 (Pending), 2019, (50 nm thin metasurface technology for controlling vectorial light beams with 99% experimental efficiency across all the visible and made from inexpensive material with CMOS compatible large scale manufacturing. (App. No. 62/799,324)).
BibTeX | Tags: AI photonics
@misc{fratax2019,
title = {Flat optics polarizing beam splitter},
author = {Andrea Fratalocchi and Arturo Burguete Lopez and Maxsim Makarenko and Fedor Getman},
year = {2019},
date = {2019-01-01},
crossref = {U.S. Application No. 62/799,324},
howpublished = {App. No. 62/799,324 (Pending)},
note = {50 nm thin metasurface technology for controlling vectorial light beams with 99% experimental efficiency across all the visible and made from inexpensive material with CMOS compatible large scale manufacturing. (App. No. 62/799,324)},
keywords = {AI photonics},
pubstate = {published},
tppubtype = {misc}
}
0000
Li, Ning; Xiang, Fei; Elizarov, Maxim S.; Makarenko, Maxim; Lopez, Arturo B.; Getman, Fedor; Bonifazi, Marcella; Mazzone, Valerio; Fratalocchi, Andrea
Large-Scale and Wide-Gamut Coloration at the Diffraction Limit in Flexible, Self-Assembled Hierarchical Nanomaterials Journal Article
In: Advanced Materials, vol. n/a, no. n/a, pp. 2108013, 0000.
Abstract | Links | BibTeX | Tags: dielectrics, nanostructured materials, optical nanoresonators, structural color
@article{https://doi.org/10.1002/adma.202108013b,
title = {Large-Scale and Wide-Gamut Coloration at the Diffraction Limit in Flexible, Self-Assembled Hierarchical Nanomaterials},
author = {Ning Li and Fei Xiang and Maxim S. Elizarov and Maxim Makarenko and Arturo B. Lopez and Fedor Getman and Marcella Bonifazi and Valerio Mazzone and Andrea Fratalocchi},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.202108013},
doi = {https://doi.org/10.1002/adma.202108013},
journal = {Advanced Materials},
volume = {n/a},
number = {n/a},
pages = {2108013},
abstract = {Abstract Unveiling physical phenomena that generate controllable structural coloration is at the center of significant research efforts due to the platform potential for the next generation of printing, sensing, displays, wearable optoelectronics components, and smart fabrics. Colors based on e-beam facilities possess high resolutions above 100k dots per inch (DPI), but limit manufacturing scales up to 4.37 cm2, while requiring rigid substrates that are not flexible. State-of-art scalable techniques, on the contrary, provide either narrow gamuts or small resolutions. A common issue of current methods is also a heterogeneous resolution, which typically changes with the color printed. Here, a structural coloration platform with broad gamuts exceeding the red, green, and blue (RGB) spectrum in inexpensive, thermally resistant, flexible, and metallic-free structures at constant 101 600 DPI (at the diffraction limit), obtained via mass-production manufacturing is demonstrated. This platform exploits a previously unexplored physical mechanism, which leverages the interplay between strong scattering modes and optical resonances excited in fully 3D dielectric nanostructures with suitably engineered longitudinal profiles. The colors obtained with this technology are scalable to any area, demonstrated up to the single wafer (4 in.). These results open real-world applications of inexpensive, high-resolution, large-scale structural colors with broad chromatic spectra.},
keywords = {dielectrics, nanostructured materials, optical nanoresonators, structural color},
pubstate = {published},
tppubtype = {article}
}