PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 25, 2026Advanced Electronic Materials0 citationsOpen Access

A Compendium of Logic Gates Based on Reconfigurable Three‐Independent‐Gate Transistors Realized in FDSOI Hardware

View Full Paper
JMJuan MartínezYHYuxuan HeGGGiulio Galderisi

Key Points

  • This work aims to characterize and demonstrate various logic gates built from three-independent-gate transistors.
  • Electrical characterization of sixteen different logic gates.
  • Fabrication on 300 mm wafers using a 22 nm FDSOI process.
  • On-wafer measurements for quasi-static and transient analysis.
  • Simulation of a ripple-carry adder based on the 1-bit adder.
  • Demonstrated a reconfigurable 2-2 AND-OR-Inverter gate and a 1-bit adder.
  • Measurements confirmed correct functionality of the gates.
  • Insights into frequency limitations were provided by the testing setup.
  • Simulation illustrated scalability for low-power applications.

Abstract

ABSTRACT This work presents the electrical characterization of sixteen different logic gates built entirely from three‐independent‐gate reconfigurable transistors. The circuits are fabricated on full‐scale 300 mm wafers using the industrial 22 nm fully depleted silicon‐on‐insulator process of GlobalFoundries, with only minimal modifications to the baseline CMOS flow. The demonstrations include a reconfigurable 2‐2 AND‐OR‐Inverter gate and a fully functional 1‐bit adder comprising eight transistors. Quasi‐static and transient on‐wafer measurements confirm correct functionality and provide insight into the frequency limitations imposed by the current design and test setup. Finally, to explore scalability, a ripple‐carry adder is simulated based on the experimentally realized 1‐bit adder, illustrating how scaled devices and optimized layouts could enable low‐power, CMOS‐compatible applications.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Martínez et al. (2026) studied this question.

synapsesocial.com/papers/69c37bf3b34aaaeb1a67ee84https://doi.org/10.1002/aelm.202500782
Ask AI
Helpful
Bookmark
Share
View Full Paper