Multi‐Level Electro‐Thermal Switching of Optical Phase‐Change Materials Using Graphene

Advanced Photonics Research, Journal Year: 2020, Volume and Issue: 2(1)

Published: Oct. 7, 2020

Reconfigurable photonic systems featuring minimal power consumption are crucial for integrated optical devices in real‐world technology. Current active available foundries, however, use volatile methods to modulate light, requiring a constant supply of and significant form factors. Essential aspects overcome these issues the development nonvolatile reconfiguration techniques which compatible with on‐chip integration different platforms do not disrupt their performances. Herein, solution is demonstrated using an optoelectronic framework tunable photonics that uses undoped‐graphene microheaters thermally reversibly switch phase‐change material Ge 2 Sb Se 4 Te 1 (GSST). An situ Raman spectroscopy method utilized demonstrate, real‐time, reversible switching between four levels crystallinity. Moreover, 3D computational model developed precisely interpret characteristics, quantify impact current saturation on dissipation, thermal diffusion, speed. This used inform design devices; namely, broadband Si 3 N circuits small form‐factor modulators reconfigurable metasurfaces displaying 2π phase coverage through neural‐network‐designed GSST meta‐atoms. will enable scalable, low‐loss applications across diverse range platforms.

Language: Английский

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Non-Volatile Reconfigurable Silicon Photonics Based on Phase-Change Materials

IEEE Journal of Selected Topics in Quantum Electronics, Journal Year: 2021, Volume and Issue: 28(3), P. 1 - 17

Published: Oct. 20, 2021

The traditional ways of tuning a silicon photonic network are mainly based on the thermo-optic effect or free carrier dispersion. drawbacks these methods volatile nature and extremely small change in complex refractive index (Δn<0.001). In order to achieve low energy consumption smaller footprint for applications such as memories, optical computing, programmable gate array, neural network, it is essential that two states system exhibit high contrast remain non-volatile. Phase materials (PCMs) Ge ₂ Sb Te xmlns:xlink="http://www.w3.org/1999/xlink">5 provide an excellent solution, thanks drastic between which can be switched reversibly non-volatile fashion. Here, we review recent progress field reconfigurable photonics PCMs. We start with general introduction material properties PCMs have been exploited integrated discuss their operating wavelengths. various switches built upon reviewed. Lastly, PCM-based circuits potential future directions this field.

Language: Английский

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Photonic (computational) memories: tunable nanophotonics for data storage and computing

Nanophotonics, Journal Year: 2022, Volume and Issue: 11(17), P. 3823 - 3854

Published: May 13, 2022

The exponential growth of information stored in data centers and computational power required for various data-intensive applications, such as deep learning AI, call new strategies to improve or move beyond the traditional von Neumann architecture. Recent achievements storage computation optical domain, enabling energy-efficient, fast, high-bandwidth processing, show great potential photonics overcome bottleneck reduce energy wasted Joule heating. Optically readable memories are fundamental this process, while light-based has traditionally (and commercially) employed free-space optics, recent developments photonic integrated circuits (PICs) nano-materials have opened doors opportunities on-chip. Photonic yet rival their electronic digital counterparts density; however, inherent analog nature ultrahigh bandwidth make them ideal unconventional computing strategies. Here, we review emerging nanophotonic devices that possess memory capabilities by elaborating on tunable mechanisms evaluating terms scalability device performance. Moreover, discuss progress large-scale architectures arrays primarily based

Language: Английский

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Broadband Nonvolatile Electrically Controlled Programmable Units in Silicon Photonics

ACS Photonics, Journal Year: 2022, Volume and Issue: 9(6), P. 2142 - 2150

Published: May 6, 2022

Programmable photonic integrated circuits (PICs) have recently gained significant interest because of their potential in creating next-generation technologies ranging from artificial neural networks and microwave photonics to quantum information processing. The fundamental building block such programmable PICs is a 2 × unit, traditionally controlled by the thermo-optic or free-carrier dispersion. However, these implementations are power-hungry volatile large footprint (typically >100 μm). Therefore, truly "set-and-forget"-type unit with zero static power consumption highly desirable for large-scale PICs. Here, we report broadband nonvolatile electrically silicon based on phase-change material Ge2Sb2Te5. directional coupler-type exhibits compact coupling length (64 μm), small insertion loss (∼2 dB), minimal crosstalk (<−8 dB) across entire telecommunication C-band while maintaining record-high endurance over 2800 switching cycles without performance degradation. This constitutes critical component realizing future generic systems.

Language: Английский

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Artificial Intelligence and Advanced Materials

Advanced Materials, Journal Year: 2022, Volume and Issue: 35(23)

Published: Dec. 23, 2022

Abstract Artificial intelligence (AI) is gaining strength, and materials science can both contribute to profit from it. In a simultaneous progress race, new materials, systems, processes be devised optimized thanks machine learning (ML) techniques, such turned into innovative computing platforms. Future scientists will understanding how ML boost the conception of advanced materials. This review covers aspects computation fundamentals directions taken repercussions produced by account for origins, procedures, applications AI. its methods are reviewed provide basic knowledge implementation potential. The systems used implement AI with electric charges finding serious competition other information‐carrying processing agents. impact these techniques have on inception so deep that paradigm developing where implicit being mined conceive functions instead found How far this trend carried hard fathom, as exemplified power discover unheard or physical laws buried in data.

Language: Английский

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