Photosensitive free-standing ultra-thin carbyne–gold films

Samyshkin, Vlad; Lelekova, Anastasia; Osipov, A.; Bukharov, D. N.; Skryabin, I.; Аракелян, С. М.; Kucherik, A. O.; Kutrovskaya, S.

doi:10.1007/s11082-019-2114-3

Cited by 4 publications

(4 citation statements)

References 32 publications

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“…A conducting network of sp-carbon wires with single-electron bonds with Au NPs assures the high electric conductivity of each tube. The conductivity in this hybrid metal-organic system may be induced by laser light, as has been demonstrated recently [23][24][25][26]. The origin of this effect is the electronic transfer between gold NPs and carbon nanowires triggered by the excitation of plasmon modes in gold NPs.…”

Section: Discussionmentioning

confidence: 66%

Titanium-Based Metasurfaces for Optoelectronics

Kavokina,

Samyshkin,

Cao

et al. 2023

Nanomaterials

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We report on the fabrication method that enables the development of transparent conductive metasurfaces capable of the resonant absorption of light in specific frequency bands. The approach is based on embedding linear sp-carbon chains and metallic nanoparticles in a porous matrix of titanium dioxide (TiO2). We develop a blading technique for the formation of a periodical grating of TiO2 microtubes at the macroscale. The method allowed us to maintain the periodicity of an array of microtubes with an accuracy of ±5%. Tuning the diameter of the tubes and the concentration of metallic nanoparticles, we achieved the regime of strong resonant absorption of the fabricated complex metasurface in the visible range. Computer simulations helped revealthe regime of TE/TM-polarized laser pumping that allowed for the most efficient transformation of light energy into electric current flow. In the studied structures, the sp-carbon clusters embedded inside transparent titanium dioxide tubes play the role of atomic wires. The interplay between efficient conductivity through carbon wires and the plasmon-enhanced absorption of light allows the design of photodiode structures based on periodical metasurfaces and characterized by highly selective optical sensitivity.

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Section: Discussionmentioning

confidence: 66%

Titanium-Based Metasurfaces for Optoelectronics

Kavokina,

Samyshkin,

Cao

et al. 2023

Nanomaterials

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“…One-dimensional carbon structures, being low-dimensional/ linear dipole systems with high polarizability, are candidates for achieving high electrical conductivity in thin films on a solid surface, including trends toward the transition to hightemperature superconductivity in various hybrid systems with various/corresponding compositions (see, for example, [23,24,105]). However, the problem is that the instability of a one-dimensional system due to steric factors, helicity, and folding into globules with the corresponding density distribution of objects, etc.…”

Section: Discussionmentioning

confidence: 99%

Electrophysics of carbon 1D structures obtained in a laser experiment: models and demonstration

Garnov,

Abramov,

Bukharov

et al. 2023

Phys. Usp.

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Laser-induced carbon 1D structures and some of their electrophysical properties have been studied by means of computer simulations. Evidence of the possible emergence of a new allotropic phase of carbon (carbyne) produced through laser melting of graphite has been experimentally demonstrated. Methods for obtaining topological nanoclusters of controlled modifications using laser ablation are discussed, and the obtained images are presented. The main results of modeling 1D structures with fractal fragments are considered. Raman spectra with corresponding confirmation of the existence of laser-induced low-dimensional carbon structures are displayed. The structures discovered enable the development of next-generation elements and devices for nanoelectronics and nanophotonics based on new physical principles.

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“…In this paper, in order to illustrate the proposed architecture, we have considered the use of photodiodes connected with memristive devices for making the sensory part; however, there are alternative ways to achieve this. Over the past several years, great progress has been provided in photo-sensing memristors based on SiO x RRAM devices [39], MoS 2 photosensitive field effect transistors [40], 2D materials-based photo-memristors [41], thin carbyne-gold films [42], etc. Comprehensive analyses of state-of-the-art memristorbased sensors for edge detection, mean filtering, stylization, and recognition have been recently published in [43].…”

Section: Memristor-based Systems For Machine Visionmentioning

confidence: 99%

Neuromorphic Analog Machine Vision Enabled by Nanoelectronic Memristive Devices

Shchanikov,

Bordanov,

Kucherik

et al. 2023

Applied Sciences

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Arrays of memristive devices coupled with photosensors can be used for capturing and processing visual information, thereby realizing the concept of “in-sensor computing”. This is a promising concept associated with the development of compact and low-power machine vision devices, which is crucial important for bionic prostheses of eyes, on-board image recognition systems for unmanned vehicles, computer vision in robotics, etc. This concept can be applied for the creation of a memristor based neuromorphic analog machine vision systems, and here, we propose a new architecture for these systems in which captured visual data are fed to a spiking artificial neural network (SNN) based on memristive devices without analog-to-digital and digital-to-analog conversions. Such an approach opens up the opportunities of creating more compact, energy-efficient visual processing units for wearable, on-board, and embedded electronics for such areas as robotics, the Internet of Things, and neuroprosthetics, as well as other practical applications in the field of artificial intelligence.

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Photosensitive free-standing ultra-thin carbyne–gold films

Cited by 4 publications

References 32 publications

Titanium-Based Metasurfaces for Optoelectronics

Titanium-Based Metasurfaces for Optoelectronics

Electrophysics of carbon 1D structures obtained in a laser experiment: models and demonstration

Neuromorphic Analog Machine Vision Enabled by Nanoelectronic Memristive Devices

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