Chloride Modulation Doping in Dual-Channel InGaZnO Synaptic Transistors: Location-Selective Strategy for Synaptic Plasticity Enhancement
Year: 2025
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide Chloride ion modulation-doped InGaZnO dual-channel synaptic transistors (DCSTs) were fabricated via mist chemical vapor deposition to evaluate the role of location-selective doping on synaptic plasticity. DCST with a Cl – doped front channel (MOD-DCST (F)) significantly enhanced long-term plasticity, resulting in superior synaptic weight retention, improved conductance linearity, and reliable LTP/LTD characteristics. In contrast, DCST with a Cl – doped back channel (MOD-DCST (B)) primarily reinforced short-term plasticity, achieving high paired-pulse facilitation (PPF) index of 170% and spike-rate dependent plasticity (SRDP) index of 288% which are essential for temporal computation tasks such as high-pass filtering, real-time information processing and sound-source localization. DCST with Cl doping in both channels (DCST (F&B)) led to partial cancellation of these effects. The devices reproduced essential synaptic behaviors such as EPSC, PPF, SNDP, SRDP, and LTP/LTD. When applied in a CNN model with weight quantization, MOD-DCST (F) achieved the highest recognition accuracy of 94.95% on the MNIST data set, outperforming the 88.78% of undoped DCST and 77.12% of MOD-DCST (B). These results demonstrate that location-selective chloride modulation doping enables application-oriented tunability: front-channel doping favors memory-centric learning, whereas back-channel doping supports temporal information processing, establishing a versatile platform for multifunctional neuromorphic computing.
Source: ACS Applied Electronic Materials
Authors: Han-Wei Chen, Cheng-Yi Song, Jia-Zhe Wu, Ying Chao, Jie-Fei Jiang, Zong-Da Lin, Han-Yin Liu
Institution: National Sun Yat-sen University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $4,500
Award: G2954147268
OpenAlex ID: W4417023564
