Abstract
Ferroelectric FET (FeFET) emerges as a highly promising candidate for in-memory computing due to its outstanding performance, superior energy efficiency and great scalability. For FeFET, generally the memory window, i.e., the separation between the two threshold voltage (VTH) states, is of interest. The absolute value of the low-VTH and high-VTH states are generally not scrutinized. However, in this work, we demonstrate that a proper engineering of VTH is necessary to ensure correct array operation for in-memory computing applications. We highlight that for all the current-based operations, it is necessary to keep both the VTH states positive to cut off the leakage for grounded unselected cells. To reach that design target, we systematically evaluate various design options for VTH engineering, including the gate metal work function, the body bias, and the buried oxide thickness, in a fully-depleted silicon-on-insulator (FDSOI) FeFET using calibrated TCAD simulations. We establish the design guidelines for VTH engineering to ensure successful operation of in-memory computing applications.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE International Reliability Physics Symposium, IRPS 2022 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 9C31-9C310 |
| ISBN (Electronic) | 9781665479509 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
| Event | 2022 IEEE International Reliability Physics Symposium, IRPS 2022 - Dallas, United States Duration: 27 Mar 2022 → 31 Mar 2022 |
Publication series
| Name | IEEE International Reliability Physics Symposium Proceedings |
|---|---|
| Volume | 2022-March |
| ISSN (Print) | 1541-7026 |
Conference
| Conference | 2022 IEEE International Reliability Physics Symposium, IRPS 2022 |
|---|---|
| Country/Territory | United States |
| City | Dallas |
| Period | 27/03/22 → 31/03/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- FDSOI
- FeFET
- In-Memory Computing
- TCAM
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