A 2TnC ferroelectric memory gain cell suitable for compute-in-memory and neuromorphic application
Research output: Contribution to conferences › Paper › Contributed › peer-review
Contributors
Abstract
A 2TnC ferroelectric memory gain cell consisting of two transistors and two or more ferroelectric capacitors (FeCAP) is proposed. While a pre-charge transistor allows to access the single cell in an array, the read transistor amplifies the small read signals from small-scaled FeCAPs that can be operated either in FeRAM mode by sensing the polarization reversal current, or in ferroelectric tunnel junction (FTJ) mode by sensing the polarization dependent leakage current. The simultaneous read or write operation of multiple FeCAPs is used to realize compute-in-memory (CiM) algorithms that enable processing of data being represented by both, non-volatilely internally stored data and externally applied data. The internal gain of the cell mitigates the need for 3D integration of the FeCAPs, thus making the concept very attractive especially for embedded memories. Here we discuss design constraints of the 2TnC cell and present the proof-of-concept for realizing versatile (CiM) approaches by means of electrical characterization results.
Details
| Original language | English |
|---|---|
| Publication status | Published - Dec 2019 |
| Peer-reviewed | Yes |
Conference
| Title | 2019 Annual IEEE International Electron Devices Meeting |
|---|---|
| Subtitle | Innovative Devices for an Era of Connected Intelligence |
| Abbreviated title | IEDM 2019 |
| Conference number | 65 |
| Duration | 7 - 11 December 2019 |
| Website | |
| City | San Francisco |
| Country | United States of America |
External IDs
| ORCID | /0000-0003-3814-0378/work/142256225 |
|---|