{"title":"Ultralow Power Zirconium Electrolyte-Based Synaptic Device for Neuromorphic Computing","authors":"Milind Kumar;Reetwik Bhadra;Amitesh Kumar","doi":"10.1109/TCAD.2025.3551654","DOIUrl":null,"url":null,"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> <tex-math>$\\approx ~10^{5}$ </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.","PeriodicalId":13251,"journal":{"name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","volume":"44 10","pages":"3890-3895"},"PeriodicalIF":2.9000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10926909/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
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 $\approx ~10^{5}$ 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.
期刊介绍:
The purpose of this Transactions is to publish papers of interest to individuals in the area of computer-aided design of integrated circuits and systems composed of analog, digital, mixed-signal, optical, or microwave components. The aids include methods, models, algorithms, and man-machine interfaces for system-level, physical and logical design including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, hardware-software co-design and documentation of integrated circuit and system designs of all complexities. Design tools and techniques for evaluating and designing integrated circuits and systems for metrics such as performance, power, reliability, testability, and security are a focus.