journal article·2022-10

Reconfigurable Logic‐in‐Memory Using Silicon Transistors

Doohyeok Lim, Kyoungah Cho, Sangsig Kim

Advanced Materials Technologies· Volume 7· Issue 10
Publisher page

Abstract

Abstract In this paper, a novel reconfigurable logic‐in‐memory built using silicon transistors is proposed. The silicon transistor can be reconfigured as p‐ or n‐switchable memory by controlling the polarity of the gate inputs. These electrical characteristics are enabled by utilizing holes or electrons as the majority charge carriers for the positive feedback loop. The reconfigurable logic‐in‐memory functions of the NOT and YES gates with the same cell comprising a silicon transistor and load resistor are demonstrated. Moreover, it is revealed that a two‐input reconfigurable logic‐in‐memory cell, based on two silicon transistors and a load resistor, functions as negative‐AND and OR gates. This novel reconfigurable logic‐in‐memory technology can facilitate the development of next‐generation low‐power and high‐performance computing.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Memory and Neural Computing · Semiconductor materials and devices · Ferroelectric and Negative Capacitance Devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering Korea University Seoul 02841 Republic of Korea

Department of Electronic Engineering Kyonggi University Suwon 16227 Republic of Korea

Funding

Korea Semiconductor Research Consortium · National Research Foundation of Korea

References (34)

Show source-provided references
1. 10.1038/s41928-018-0054-810.1038/s41928-018-0054-8 ↗
2. 10.1109/T-C.1969.22275410.1109/T-C.1969.222754 ↗
3. 10.1109/TC.1970.500890210.1109/TC.1970.5008902 ↗
4. 10.1002/aelm.20210011710.1002/aelm.202100117 ↗
5. 10.1002/aelm.20180018910.1002/aelm.201800189 ↗
6. 10.1038/s41928-018-0092-210.1038/s41928-018-0092-2 ↗
7. 10.1038/s41586-020-2861-010.1038/s41586-020-2861-0 ↗
8. 10.1002/adfm.20180008010.1002/adfm.201800080 ↗
9. 10.1038/s41565-020-0655-z10.1038/s41565-020-0655-z ↗
10. 10.1038/s41565-020-0647-z10.1038/s41565-020-0647-z ↗
11. 10.1038/s41928-020-0433-910.1038/s41928-020-0433-9 ↗
12. 10.1002/adfm.20190964510.1002/adfm.201909645 ↗
13. 10.1002/adma.20160502710.1002/adma.201605027 ↗
14. 10.1038/s41598-017-12347-x10.1038/s41598-017-12347-x ↗
15. 10.1021/acs.nanolett.5b0060610.1021/acs.nanolett.5b00606 ↗
16. Padilla A. · 2008 · 1
17. 10.1016/j.sse.2012.05.06110.1016/j.sse.2012.05.061 ↗
18. 10.1109/LED.2011.217690810.1109/LED.2011.2176908 ↗
19. 10.1109/TED.2018.288196510.1109/TED.2018.2881965 ↗
20. 10.1109/TED.2018.280249210.1109/TED.2018.2802492 ↗
21. 10.1088/1361-6528/28/5/05520510.1088/1361-6528/28/5/055205 ↗
22. 10.1002/admt.20200091510.1002/admt.202000915 ↗
23. 10.1088/1361-6641/ab358610.1088/1361-6641/ab3586 ↗
24. 10.1109/LED.2021.306395410.1109/LED.2021.3063954 ↗
25. Park Y.‐S. · Front. Neurosci. · 2021 · 15 · 309
26. 10.1109/TED.2020.299578510.1109/TED.2020.2995785 ↗
27. 10.1109/TED.2019.293939310.1109/TED.2019.2939393 ↗
28. 10.1002/aelm.20180042910.1002/aelm.201800429 ↗
29. 10.1088/1361-6528/abe89410.1088/1361-6528/abe894 ↗
30. 10.1007/s12274-019-2477-610.1007/s12274-019-2477-6 ↗
31. 10.1021/nl401826u10.1021/nl401826u ↗
32. 10.1109/4.91049510.1109/4.910495 ↗
33. 10.1109/TCSII.2006.88235010.1109/TCSII.2006.882350 ↗
34. 10.1038/s41928-019-0321-310.1038/s41928-019-0321-3 ↗