A Floating Gate Memory with U-Shape Recessed Channel for Neuromorphic Computing and MCU Applications

Lu-Rong Gan; Ya-Rong Wang; Lin Chen; Hao Zhu; Qing-Qing Sun

doi:10.3390/mi10090558

Micromachines (Aug 2019)

A Floating Gate Memory with U-Shape Recessed Channel for Neuromorphic Computing and MCU Applications

Lu-Rong Gan,
Ya-Rong Wang,
Lin Chen,
Hao Zhu,
Qing-Qing Sun

Affiliations

Lu-Rong Gan: State Key Lab. of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
Ya-Rong Wang: State Key Lab. of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
Lin Chen: State Key Lab. of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
Hao Zhu: State Key Lab. of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China
Qing-Qing Sun: State Key Lab. of ASIC and System, School of Microelectronics, Fudan University, Shanghai 200433, China

DOI: https://doi.org/10.3390/mi10090558
Journal volume & issue: Vol. 10, no. 9
p. 558

Abstract

Read online

We have simulated a U-shape recessed channel floating gate memory by Sentaurus TCAD tools. Since the floating gate (FG) is vertically placed between source (S) and drain (D), and control gate (CG) and HfO2 high-k dielectric extend above source and drain, the integrated density can be well improved, while the erasing and programming speed of the device are respectively decreased to 75 ns and 50 ns. In addition, comprehensive synaptic abilities including long-term potentiation (LTP) and long-term depression (LTD) are demonstrated in our U-shape recessed channel FG memory, highly resembling the biological synapses. These simulation results show that our device has the potential to be well used as embedded memory in neuromorphic computing and MCU (Micro Controller Unit) applications.

Published in Micromachines

ISSN: 2072-666X (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Mechanical engineering and machinery
Website: https://www.mdpi.com/journal/micromachines

About the journal

Abstract

Keywords