TY - JOUR
T1 - Drain-Erase Scheme in Ferroelectric Field Effect Transistor - Part II
T2 - 3-D-NAND Architecture for In-Memory Computing
AU - Wang, Panni
AU - Shim, Wonbo
AU - Wang, Zheng
AU - Hur, Jae
AU - Datta, Suman
AU - Khan, Asif Islam
AU - Yu, Shimeng
N1 - Publisher Copyright:
© 1963-2012 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - Ferroelectric-doped HfO2-based ferroelectric field-effect transistors (FeFETs) are being actively explored as emerging nonvolatile memory (NVM) devices with the potential for in-memory computing. In this two-part article, we explore the feasibility of the FeFET-based 3-D NAND architecture for both in situ training and inference. To address the challenge of erase-by-block in a NAND-like structure, we propose and experimentally demonstrate the drain-erase scheme to enable the individual cell's program/erase/inhibition, which is necessary for individual weight updates in in situ training. We described the device characterization of different drain-erase conditions and results in Part I. The array-level design for this drain-erase scheme for both AND-type and NAND-type array is addressed in this Part II. A 3-D vertical channel FeFET array architecture is proposed to accelerate the vector-matrix multiplication (VMM). 3-D timing sequence of the weight update rule is designed and verified through the 3-D-array-level SPICE simulation. Finally, the VMM operation is simulated in a 3-D NAND-like FeFET array.
AB - Ferroelectric-doped HfO2-based ferroelectric field-effect transistors (FeFETs) are being actively explored as emerging nonvolatile memory (NVM) devices with the potential for in-memory computing. In this two-part article, we explore the feasibility of the FeFET-based 3-D NAND architecture for both in situ training and inference. To address the challenge of erase-by-block in a NAND-like structure, we propose and experimentally demonstrate the drain-erase scheme to enable the individual cell's program/erase/inhibition, which is necessary for individual weight updates in in situ training. We described the device characterization of different drain-erase conditions and results in Part I. The array-level design for this drain-erase scheme for both AND-type and NAND-type array is addressed in this Part II. A 3-D vertical channel FeFET array architecture is proposed to accelerate the vector-matrix multiplication (VMM). 3-D timing sequence of the weight update rule is designed and verified through the 3-D-array-level SPICE simulation. Finally, the VMM operation is simulated in a 3-D NAND-like FeFET array.
KW - 3-D-NAND
KW - drain-erase
KW - ferroelectric transistor
KW - in situ training
KW - vector-matrix multiplication (VMM)
UR - http://www.scopus.com/inward/record.url?scp=85080891363&partnerID=8YFLogxK
U2 - 10.1109/TED.2020.2969383
DO - 10.1109/TED.2020.2969383
M3 - Article
AN - SCOPUS:85080891363
SN - 0018-9383
VL - 67
SP - 962
EP - 967
JO - IEEE Transactions on Electron Devices
JF - IEEE Transactions on Electron Devices
IS - 3
M1 - 8999781
ER -