基于硫基相变材料的存内计算器件与集成芯片(特邀) DOI

许恺 Xu Kai,

贠亦婷 Yun Yiting,

张嘉欣 Zhang Jiaxin

et al.

Acta Optica Sinica, Journal Year: 2024, Volume and Issue: 44(15), P. 1513023 - 1513023

Published: Jan. 1, 2024

Mapping information and light: Trends of AI-enabled metaphotonics DOI
Seokho Lee,

C. G. Park,

Junsuk Rho

et al.

Current Opinion in Solid State and Materials Science, Journal Year: 2024, Volume and Issue: 29, P. 101144 - 101144

Published: Feb. 20, 2024

Language: Английский

Citations

13

Integrated photonic neuromorphic computing: opportunities and challenges DOI
Nikolaos Farmakidis, Bowei Dong, Harish Bhaskaran

et al.

Nature Reviews Electrical Engineering, Journal Year: 2024, Volume and Issue: 1(6), P. 358 - 373

Published: June 6, 2024

Language: Английский

Citations

10

The Photoinduced Response of Antimony from Femtoseconds to Minutes DOI Creative Commons
Sebastian Walfort, Nils Holle,

Julia Vehndel

et al.

Advanced Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 13, 2025

Abstract As a phase change material (PCM), antimony exhibits set of desirable properties that make it an interesting candidate for photonic memory applications. These include large optical contrast between crystalline and amorphous solid states over wide wavelength range. Switching the is possible on nanosecond timescales by applying short heating pulses. The glass state reached through melting rapid quenching supercooled liquid regime. While initial final are easily characterized, little known about path to forming glass. Here we resolve entire switching cycle with femtosecond resolution in stroboscopic pump‐probe measurements combine experimental results ab‐initio molecular dynamics simulations. formation process revealed be complex multi‐step process, where intermediate transient exhibit distinct even larger contrasts than those observed crystal provided quantitative understanding forms basis exploitation high bandwidth

Language: Английский

Citations

1

Li Promoting Long Afterglow Organic Light‐Emitting Transistor for Memory Optocoupler Module DOI Creative Commons
Yu‐Sheng Chen, Hanlin Wang, Chen Hu

et al.

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(27)

Published: April 15, 2024

The artificial brain is conceived as advanced intelligence technology, capable to emulate in-memory processes occurring in the human by integrating synaptic devices. Within this context, improving functionality of transistors increase information processing density neuromorphic chips a major challenge field. In article, Li-ion migration promoting long afterglow organic light-emitting transistors, which display exceptional postsynaptic brightness 7000 cd m

Language: Английский

Citations

7

Ultra-high endurance silicon photonic memory using vanadium dioxide DOI Creative Commons

Juan José Seoane,

Jorge O. Parra, Juan Navarro‐Arenas

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(1)

Published: Sept. 17, 2024

Abstract Silicon photonics arises as a viable solution to address the stringent resource demands of emergent technologies, such neural networks. Within this framework, photonic memories are fundamental building blocks integrated circuits that have not yet found standardized due several trade-offs among different metrics energy consumption, speed, footprint, or fabrication complexity, name few. In particular, memory exhibiting ultra-high endurance performance (>10 6 cycles) has been elusive date. Here, we report an silicon volatile using vanadium dioxide (VO 2 ) record cyclability up 10 7 cycles without degradation. Moreover, our features ultra-compact footprint below 5 µm with potential for nanosecond and picojoule programming performance. Our could find application in emerging applications demanding high number updates, networks situ training.

Language: Английский

Citations

6

A photonic crystal waveguide intersection using phase change material for optical neuromorphic synapses DOI

Amir Hossein Abdollahi Nohoji,

Parviz Keshavarzi, Mohammad Danaie

et al.

Optical Materials, Journal Year: 2024, Volume and Issue: 151, P. 115372 - 115372

Published: April 16, 2024

Language: Английский

Citations

5

Thin‐film event‐based vision sensors for enhanced multispectral perception beyond human vision DOI Creative Commons
Kexin Li, Xiaoting Wang, Yi Wu

et al.

InfoMat, Journal Year: 2025, Volume and Issue: unknown

Published: March 9, 2025

Abstract Dynamic detection is crucial for intelligent vision systems, enabling applications like autonomous vehicles and advanced surveillance. Event‐based sensors, which convert illumination variations into sparse event spikes, are highly effective dynamic with low data redundancy. However, current event‐based sensors simplified photosensitive capacitor structures face limitations, particularly in their spectral response, hinders information acquisition multispectral scenes. Here, we introduce a two‐terminal thin‐film sensor that innovatively integrates an inorganic oxide p–n junction the pyro‐phototronic effect, synergistically combining photovoltaic pyroelectric mechanisms. This innovation enables spiking signals tenfold increase responsivity, range of 110 dB, extended response from ultraviolet (UV) to near‐infrared (NIR). With array, these accurately extract fingerprint edge features even under low‐light conditions, benefiting high sensitivity minor luminance variations. Additionally, sensors' broadband captures richer information, achieving 99.25% accuracy gesture recognition while reducing processing by over 65%. approach effectively eliminates redundant minimizing loss, offering promising alternative perception technologies. image

Language: Английский

Citations

0

Reversible Single‐Pulse Laser‐Induced Phase Change of Sb2S3 Thin Films: Multi‐Physics Modeling and Experimental Demonstrations DOI Creative Commons

Capucine Laprais,

Clément Zrounba,

Julien Bouvier

et al.

Advanced Optical Materials, Journal Year: 2024, Volume and Issue: 12(28)

Published: Aug. 27, 2024

Abstract Phase change materials (PCMs) have gained a tremendous interest as means to actively tune nanophotonic devices through the large optical modulation produced by their amorphous crystalline reversible transition. Recently, such Sb 2 S 3 emerged particularly promising low loss PCMs, with both refractive index modulations and transparency in visible near‐infrared. Controlling local phase transition this material is of major importance for future applications, an appealing method do so exploit pulsed lasers. Yet, physics limits involved switching are not yet well understood. Here, laser‐induced investigated, focusing specifically on mechanisms that drive optically induced amorphization, multi‐physics considerations including thermal properties PCM its environment. The laser energy threshold reversibly changing determined theoretical analysis experimental investigation, only between fully states but also partially recrystallized states. Then, non‐negligible impact material's polycrystallinity anisotropy power thresholds revealed. Finally, challenges related amorphization thick layers addressed, strategies overcome them. These results enable qualitative quantitative understanding behind optically‐induced layers.

Language: Английский

Citations

2

Ultra-fast GST-based optical neuron for the implementation of integrated photonic neural networks DOI Creative Commons

Samaneh Amiri,

Mehdi Miri

Optics Continuum, Journal Year: 2024, Volume and Issue: 3(7), P. 1061 - 1061

Published: June 11, 2024

A fast-integrated optical neuron is proposed based on a micro-ring resonator structure. The GST phase change material used in the MRR structure, and switching achieved by electrical actuation of this material. nonlinear activation function extracted through three-dimensional simulations. then employed three-layer perceptron network using function, its performance examined classification handwritten digits. overall compared with previous neural networks. Simulations show an ultra-fast time 200fs, which one order magnitude faster than best-reported value, accuracy 98.9% (in MNIST digits dataset) among best results, while estimated footprint relatively small.

Language: Английский

Citations

0

Photonic nonlinear synthesis by vector-spatial dimension expansion DOI
Wenkai Zhang, Bo Wu, Jingcheng Li

et al.

Journal of Lightwave Technology, Journal Year: 2024, Volume and Issue: 42(22), P. 7888 - 7893

Published: Aug. 15, 2024

Language: Английский

Citations

0