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Title Synaptic Device with Linear Weight Update Using Graded SiGe Body Capacitor-less 1T-DRAM
Authors (Younghoo Ro) ; (Jun Lee) ; (Eungi Hwang) ; (Garam Kim)
DOI https://doi.org/10.5573/JSTS.2026.26.5.374
Page pp.374-383
ISSN 1598-1657
Keywords One transistor dynamic random-access memory; synaptic device; NeuroSim; band-to-band tunneling; neuromorphic device
Abstract In this study, we propose an enhanced 1T-DRAM-based synaptic device structure aimed at improving conductance characteristics and linearity during potentiation and depression. While conventional 1T-DRAM based synaptic devices using a uniform SiGe body suffer from degraded linearity due to rapid hole saturation across the entire body region, our approach introduces a degraded SiGe body structure in which the body is divided into three sections with gradually decreasing Ge mole fractions (0.3, 0.2, and 0.1) from the source to the drain side. This gradient design enables more effective hole storage during potentiation and depression compared to a uniform SiGe body, alleviating abrupt saturation and thereby enhancing linearity. The proposed structure is evaluated in a multilayer perceptron (MLP) simulation using NeuroSim, demonstrating increased classification accuracy with respect to training epochs.