Self-Powered Photodetector Based on Mos2/Sb2Te3 Heterojunction

Wang, Hao; Gui, Yaliang; Dong, Chaobo; Dalir, Hamed; Sorger, Volker J.

doi:10.1109/ipc53466.2022.9975582

Cited by 10 publications

(17 citation statements)

References 5 publications

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“…This discourse underscores the criticality of optimizing electro-optic modulators to surmount the challenges posed by the ever-increasing demand for I/O bandwidth in high-performance computing environments. [29][30][31][32] The exploration of materials exhibiting the Pockels effect, alongside the refinement of modulator designs to enhance power efficiency and functionality, remains at the forefront of this endeavor. Such advancements are expected to yield significant improvements in the performance of photonic systems, thereby enabling more sophisticated and energy-efficient technological solutions across a broad spectrum of applications.…”

Section: Introductionmentioning

confidence: 99%

“…Such advancements are expected to yield significant improvements in the performance of photonic systems, thereby enabling more sophisticated and energy-efficient technological solutions across a broad spectrum of applications. [33][34][35][36][37] In this study, we elucidate how the free carrier dispersion effect, when intricately engineered within an asymmetric Mach-Zehnder interferometer (MZI) modulator framework employing Indium Tin Oxide (ITO) plasmonic polaritons, can attain exceptionally high operational speeds. [38][39][40][41][42][43] The intrinsic properties of ITO, particularly its band gap ranging from 3.2 to 4.0 eV, endow it with a unique combination of transparency and conductivity.…”

Section: Introductionmentioning

confidence: 99%

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Design and optimization of a high-speed ITO-plasmon-based asymmetric Mach-Zehnder interferometer modulator

Altaleb,

Ye,

Gui

et al. 2024

Physics and Simulation of Optoelectronic Devices XXXII

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This study introduces an innovative indium tin oxide (ITO) plasmon-based asymmetric Mach-Zehnder Interferometer (MZI) modulator, designed to tackle prevailing issues in photonic modulators. Emphasizing the modulator's attributes, we offer low bias voltage, compactness, sufficient extinction ratio (ER), low insertion loss (IL), and low electrical resistance, paving the way for operational speeds up to multiple GHz. We meticulously examined material properties and modulator design to strike an optimized balance between ER and IL, adhering to the constraints of minor phase shifts. A 4.7 µm-long ITO-plasmon-based asymmetric MZI modulator was devised, incorporating a phase shift of 0.33π, an ER of 3 dB, an IL of 2.9 dB, and a speed of 108 GHz under the bias of ±3.5 V. The device length is judiciously selected considering high transmission difference, high ER, and low IL. Our asymmetric MZI modulator (41:59) results in 0.4 dB lower IL in comparison to the symmetric MZI modulator. In terms of modulation depth, an amplified oxide thickness can curtail the device's capacitance, thereby augmenting the RC-limited device bandwidth. Concurrently, we propose a design protocol to attain tailored metrics such as modulation depth, speed, and losses that broaden the selection of active materials for engineering modulators with functionality-based performance. Notably, the modulator showcases remarkable switching speeds up to 100 GHz, a notably low energy consumption of 380 fJ/bit, and is adaptable to a multitude of material frameworks. This work marks a significant stride in the field of photonic modulators, opening new avenues for compact, high-performance, and energy-efficient modulating devices.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and optimization of a high-speed ITO-plasmon-based asymmetric Mach-Zehnder interferometer modulator

Altaleb,

Ye,

Gui

et al. 2024

Physics and Simulation of Optoelectronic Devices XXXII

View full text Add to dashboard Cite

show abstract

“…[29][30][31][32][33] The pursuit of such technologies demands a departure from traditional electronic paradigms towards innovative computational architectures that inherently resist environmental perturbations. Potential avenues include the exploration of non-volatile memory technologies, [34][35][36][37][38][39][40][41] fault-tolerant computing designs, 42,43 and the adoption of novel materials and device structures that exhibit enhanced resilience to temperature variations, radiation, and mechanical stress. The development of accelerators that maintain high levels of computational accuracy and reliability in the face of harsh conditions is critical for extending the frontiers of AI applications into more demanding domains, ensuring consistent performance and reliability across a broad spectrum of operational scenarios.…”

Section: Introductionmentioning

confidence: 99%

An efficient optical-based binary neural network hardware accelerator for harsh environments

Jahannia,

Ye,

Altaleb

et al. 2024

Silicon Photonics XIX

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Binarized neural networks offer substantial reductions in memory and computational requirements compared to full precision networks. However, conventional CMOS-based hardware implementations still face challenges with resilience for deployment in harsh environments like space. This paper proposes an optical XOR-based accelerator for binarized neural networks to enable low power and resilient operation. The optical logic gates rely on wavelength-specific intensity propagation rather than absolute intensity levels. This provides inherent robustness against fabrication process variations and high energy particle strikes. Simulations of an optical hardware prototype for XNOR-Net show the accelerator achieves 1.2 µs latency and 3.2 mW power. The binarized network maintained 2-4% accuracy degradation compared to the full precision baseline on MNIST and CIFAR-10. The proposed optical accelerator enables efficient and resilient deployment of binarized neural networks for harsh environment applications like spacecraft and satellites.

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“…[65][66][67][68][69][70][71][72][73][74] As a result, training large datasets with an increased number of convolutional layers can lead to considerable computational overhead, with high latency and significant power consumption. [75][76][77][78][79][80][81][82][83] To enhance the computational efficiency coupled with reduced energy expenditure, optical Fourier convolution is emerging as a competitive contender. [84][85][86][87][88][89][90] The 4f-based optical system offers a rudimentary demonstration of matrix inner-product multiplication allowed for real-time completion at the speed of light, far surpassing the computational speed of any electronic computer of the time.…”

Section: Introductionmentioning

confidence: 99%

Demultiplexing OAM beams via Fourier optical convolutional neural network

Ye,

Kang,

Wang

et al. 2023

Laser Beam Shaping XXIII

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Here we present an innovative free-space optical (FSO) communication system which is capable of training database in real-time and demultiplex multiplexed spatial structured laser beams such as orbital angular momentum (OAM) beams under varying atmospheric turbulent conditions. The core part of our detection system is heterogeneous convolutional neural network includes an optical 4f system using first Fourier convolution neural network layer driven by kilohertz-fast reprogrammable high-resolution digital micromirror devices (DMDs). This optical-filtering-based convolutional neural network is utilized to realize the training and demultiplexing 4-bit OAM-coded beams under simulated turbulent condition using modified von K´arm´an atmospheric model. The current implementation shows classification accuracy of 89.35% (under weak turbulence) and 38.26% (under strong turbulence).

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Self-Powered Photodetector Based on Mos2/Sb2Te3 Heterojunction

Cited by 10 publications

References 5 publications

Design and optimization of a high-speed ITO-plasmon-based asymmetric Mach-Zehnder interferometer modulator

Design and optimization of a high-speed ITO-plasmon-based asymmetric Mach-Zehnder interferometer modulator

An efficient optical-based binary neural network hardware accelerator for harsh environments

Demultiplexing OAM beams via Fourier optical convolutional neural network

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