Controlled crystallization of thermal evaporated GST-on-SOI for photonic neuromorphic application

Neuromorphic computing is inevitable in addressing the computing challenges faced by the current computing architecture. A nonvolatile process is one of the key elements in realizing a neuromorphic architecture. Realization of a photonic nonvolatile state has been a challenge. Germanium antimony telluride (GST) offers potential electrical and optical characteristics to realize an optical nonvolatile state through a material phase transition. In this work, we demonstrate controlled phase tuning of a thermally evaporated GST-integrated silicon ring-resonator for potential neuromorphic application. We present material characterization and device fabrication and correlate the electrical and photonic phase transitions of ring-integrated GST. The temperature cycling in temperature-dependent resistance measurement shows the feasibility of pinning the phase of the transition region, which could be exploited for multiple non-volatile states. Using a simple device architecture, we have exploited the non-volatile and gradual transition of thermally evaporated GST to access intermediate states, which can be realized as synaptic weights in neural networks.

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Publication Details

Journal
APL Materials
Published
2025-05-01
DOI
https://doi.org/10.1063/5.0257237
Citations
1
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
2.48
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article

Controlled crystallization of thermal evaporated GST-on-SOI for photonic neuromorphic application

Shankar Kumar Selvaraja, Rakshitha Kallega, Roopali Shekhawat, K. Ramesh
1 citations
APL Materials
Neural Networks and Reservoir Computing
2.48
article

Controlled crystallization of thermal evaporated GST-on-SOI for photonic neuromorphic application

Shankar Kumar Selvaraja, Rakshitha Kallega, Roopali Shekhawat, K. Ramesh
article en
1 citations

Abstract

Neuromorphic computing is inevitable in addressing the computing challenges faced by the current computing architecture. A nonvolatile process is one of the key elements in realizing a neuromorphic architecture. Realization of a photonic nonvolatile state has been a challenge. Germanium antimony telluride (GST) offers potential electrical and optical characteristics to realize an optical nonvolatile state through a material phase transition. In this work, we demonstrate controlled phase tuning of a thermally evaporated GST-integrated silicon ring-resonator for potential neuromorphic application. We present material characterization and device fabrication and correlate the electrical and photonic phase transitions of ring-integrated GST. The temperature cycling in temperature-dependent resistance measurement shows the feasibility of pinning the phase of the transition region, which could be exploited for multiple non-volatile states. Using a simple device architecture, we have exploited the non-volatile and gradual transition of thermally evaporated GST to access intermediate states, which can be realized as synaptic weights in neural networks.

APL MaterialsVol. 13(5)
Indian Institute of Science Bangalore (IN)
Openalex Percentile: Top 11%
Neural Networks and Reservoir Computing
2.48
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Controlled crystallization of thermal evaporated GST-on-SOI for photonic neuromorphic application — Shankar Kumar Selvaraja, Rakshitha Kallega, et al. · APL Materials (2025) | TGRS Research Map | TGRS