材料科学
光电子学
逆变器
计算机科学
逻辑门
MOSFET
氮化物
神经形态工程学
晶体管
栅氧化层
非易失性存储器
电气工程
纳米技术
电压
工程类
图层(电子)
算法
机器学习
人工神经网络
作者
Ananya Karmakar,Adrija Mukherjee,Swastik Dhar,Dipanjan Sen,Manash Chanda
标识
DOI:10.1088/1361-6641/ac92a3
摘要
Abstract In this paper we investigate a junction-less dual-gate metal–oxide–semiconductor field effect transistor (JL-DG-MOSFET)-based programmable inverter with an oxide–nitride–oxide (SiO 2 /Si 3 N 4 /SiO 2 ) gate stack, which offers short-/long-term memory as well as logic functionalities depending on charge trapping in the nitride layer. It has been shown that the pulsing interval plays a pivotal role in deciding the short-term plasticity/long-term plasticity window based on the charges trapped/detrapped at/near the oxide–nitride interface. Moreover, we have demonstrated a JL-DG-MOSFET-based complementary metal–oxide–semiconducor inverter with a programmable switching threshold and propose a scheme for secure key generation for authentication. The intra-Hamming distance among the 21 keys generated by the programmable inverter is also depicted to demonstrate the efficacy of the proposed framework. This will eliminate the physical separation between the logic and memory and can offer attractive solutions for silicon-based low-power neuromorphic computing and hardware security.
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