Ultralow Power Zirconium Electrolyte-Based Synaptic Device for Neuromorphic Computing

This work presents a novel electrolyte-based artificial synaptic device mimicking mammalian synaptic behavior because of an Electric Double Layer (EDL) for various neural-based applications. ZrO2, as an Electrolyte, with Indium-Gallium-Zinc-Oxide (IGZO) as a channel material, has been utilised for Synaptic Device (ZEISD). A novel electrolyte, ZrO2, with intercalation property, produces synaptic behaviors similar to biological neurons. The device shows sound synaptic functions, such as excitatory postsynaptic current (EPSC), inhibitory postsynaptic current (IPSC), and paired-pulse facilitation (PPF). With different spike amplitudes and frequencies, the device transitions from short-term potentiation (STP) to long-term potentiation (LTP) and depression characteristics, an essential neural behavior. FERMI, PRINT, and SRH modelling have been utilised to obtain neural behaviors. A higher On/Off ratio <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\approx ~10^{5}$ </tex-math></inline-formula> has been obtained in line with designed and calibrated synaptic devices with ultralow power consumption as low as 0.162 pJ. Our findings hold significant implications for advancing the field of artificial neuromorphic devices, allowing for the creation of adaptable, dynamic functionalities.

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Publication Details

Journal
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Published
2025-03-14
DOI
https://doi.org/10.1109/tcad.2025.3551654
Primary Topic
Advanced Memory and Neural Computing
Type
article
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article

Ultralow Power Zirconium Electrolyte-Based Synaptic Device for Neuromorphic Computing

Reetwik Bhadra, Amitesh Kumar, Milind Kumar
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Advanced Memory and Neural Computing
article

Ultralow Power Zirconium Electrolyte-Based Synaptic Device for Neuromorphic Computing

Reetwik Bhadra, Amitesh Kumar, Milind Kumar
article en

Abstract

This work presents a novel electrolyte-based artificial synaptic device mimicking mammalian synaptic behavior because of an Electric Double Layer (EDL) for various neural-based applications. ZrO2, as an Electrolyte, with Indium-Gallium-Zinc-Oxide (IGZO) as a channel material, has been utilised for Synaptic Device (ZEISD). A novel electrolyte, ZrO2, with intercalation property, produces synaptic behaviors similar to biological neurons. The device shows sound synaptic functions, such as excitatory postsynaptic current (EPSC), inhibitory postsynaptic current (IPSC), and paired-pulse facilitation (PPF). With different spike amplitudes and frequencies, the device transitions from short-term potentiation (STP) to long-term potentiation (LTP) and depression characteristics, an essential neural behavior. FERMI, PRINT, and SRH modelling have been utilised to obtain neural behaviors. A higher On/Off ratio <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\approx ~10^{5}$ </tex-math></inline-formula> has been obtained in line with designed and calibrated synaptic devices with ultralow power consumption as low as 0.162 pJ. Our findings hold significant implications for advancing the field of artificial neuromorphic devices, allowing for the creation of adaptable, dynamic functionalities.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsVol. 44(10)
National Institute of Technology Patna (IN)
Affordable and clean energy
Openalex Percentile: Top 96%
Advanced Memory and Neural Computing
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Ultralow Power Zirconium Electrolyte-Based Synaptic Device for Neuromorphic Computing — Reetwik Bhadra, Amitesh Kumar, et al. · IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2025) | TGRS Research Map | TGRS