Litcius/Paper detail

Ultra-Low Power Robust 3bit/cell Hf 0.5 Zr 0.5 O 2 Ferroelectric FinFET with High Endurance for Advanced Computing-In-Memory Technology

Sourav De, Darsen D. Lu, Hoang‐Hiep Le, Soumen Mazumder, Yao‐Jen Lee, Wei-Chih Tseng, Bo-Han Qiu, Md. Aftab Baig, Po-Jung Sung, Chung-Jun Su, Chien-Ting Wu, Wen-Fa Wu, Wen-Kuan Yeh, Yeong‐Her Wang

2021Symposium on VLSI Technology41 citations

Abstract

Scaled ferroelectric FinFET devices were fabricated with post fin formation surface engineering (SE) to remove the line-edge roughness (LER) from the silicon surface by dry etching. This facilitated 3bit/cell operations in 10 nm Hf0.5Zr0.5O2 based ferroelectric FinFETs along with on-state current (I ON ) to off-state current (I OFF ) ratio of 106, extrapolated 10-year retention and endurance above 1011 cycles. Further, we have evaluated its performance in all ferroelectric neural network, where ferroelectric FinFETs are used as synaptic devices or neurons for weight storage. Synaptic core built with optimized devices achieve software-comparable 97.91% inference accuracy on MNIST data and multi-layer perceptron network.

Topics & Concepts

Materials scienceFerroelectricityOptoelectronicsNon-volatile memoryMNIST databaseWaferSiliconMemory cellElectronic engineeringElectrical engineeringArtificial neural networkComputer scienceVoltageEngineeringArtificial intelligenceDielectricTransistorFerroelectric and Negative Capacitance DevicesAdvanced Memory and Neural ComputingSemiconductor materials and devices