Abstract
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.
| Original language | English |
|---|---|
| Article number | 8999781 |
| Pages (from-to) | 962-967 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Electron Devices |
| Volume | 67 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2020 |
Keywords
- 3-D-NAND
- drain-erase
- ferroelectric transistor
- in situ training
- vector-matrix multiplication (VMM)
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