Low-power all-optical photonic crystal synapse using Ge2Sb2Te5 phase-change material

• All-optical photonic crystal synapse with Ge 2 Sb 2 Te 5 phase-change material proposed. • Synaptic weight controlled via focused laser-induced GST phase change. • 3D FDTD and FEM simulations show >99 % transmission, <−20 dB reflection at 1504 nm. • Compact, low-power design ideal for optical neural networks and processing systems. • Physical and thermal models accurately predict GST crystallization during weighting. In this study, we propose an all-optical neuromorphic photonic crystal synapse structure equipped with a Ge 2 Sb 2 Te 5 phase-change material (GST-PCM). By leveraging the unique properties of the GST-PCM material, this structure enables the control of the synaptic weight through targeted and focused laser irradiation. 3D simulations employing the finite-difference time-domain (FDTD) and finite element method (FEM) demonstrated optical transmission exceeding 99 % and reflection below −20 dB at a wavelength of 1504 nm within the proposed structure. These features, together with their compact dimensions and low power consumption, make our proposed structure an ideal candidate for optical processing applications and neuromorphic neural networks. Furthermore, we investigated the physical and thermal equations to determine the crystallization fraction of GST-PCM during the synapse weighting process. These equations showed excellent agreement with the simulation results and could accurately calculate the GST-PCM crystallization fraction as a function of time and laser power. Our proposed structure not only has the potential to be extended to neuromorphic systems and optical neural networks but also serves as an innovative platform for all-optical synapses because of its precise control of optical properties, high adaptability, and low power consumption.

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Publication Details

Journal
Results in Optics
Published
2025-09-25
DOI
https://doi.org/10.1016/j.rio.2025.100901
Primary Topic
Phase-change materials and chalcogenides
Type
article
Field-Weighted Citation Impact
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article

Low-power all-optical photonic crystal synapse using Ge2Sb2Te5 phase-change material

Parviz Keshavarzi, Amir Hossein Abdollahi Nohoji, Mohammad Danaie
Results in Optics
Phase-change materials and chalcogenides
article

Low-power all-optical photonic crystal synapse using Ge2Sb2Te5 phase-change material

Parviz Keshavarzi, Amir Hossein Abdollahi Nohoji, Mohammad Danaie
article en

Abstract

• All-optical photonic crystal synapse with Ge 2 Sb 2 Te 5 phase-change material proposed. • Synaptic weight controlled via focused laser-induced GST phase change. • 3D FDTD and FEM simulations show >99 % transmission, <−20 dB reflection at 1504 nm. • Compact, low-power design ideal for optical neural networks and processing systems. • Physical and thermal models accurately predict GST crystallization during weighting. In this study, we propose an all-optical neuromorphic photonic crystal synapse structure equipped with a Ge 2 Sb 2 Te 5 phase-change material (GST-PCM). By leveraging the unique properties of the GST-PCM material, this structure enables the control of the synaptic weight through targeted and focused laser irradiation. 3D simulations employing the finite-difference time-domain (FDTD) and finite element method (FEM) demonstrated optical transmission exceeding 99 % and reflection below −20 dB at a wavelength of 1504 nm within the proposed structure. These features, together with their compact dimensions and low power consumption, make our proposed structure an ideal candidate for optical processing applications and neuromorphic neural networks. Furthermore, we investigated the physical and thermal equations to determine the crystallization fraction of GST-PCM during the synapse weighting process. These equations showed excellent agreement with the simulation results and could accurately calculate the GST-PCM crystallization fraction as a function of time and laser power. Our proposed structure not only has the potential to be extended to neuromorphic systems and optical neural networks but also serves as an innovative platform for all-optical synapses because of its precise control of optical properties, high adaptability, and low power consumption.

Results in OpticsVol. 21
Openalex Percentile: Top 80%
Phase-change materials and chalcogenides
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