Reconfigurable nanoelectronics using graphene based spintronic logic gates
Hanan Dery, Hui Wu, Berkehan Ciftcioglu, Michael Huang, Yang Song,, Roland Kawakami, Jing Shi, Ilya Krivorotov, Donald A. Telesca, Igor Zutic,, and Lu J. Sham

TL;DR
This paper introduces a graphene-based spintronic logic gate design that integrates memory and logic, offering smaller, faster, and more energy-efficient nanoelectronic circuits with potential for revolutionary computing applications.
Contribution
It proposes a novel hybrid graphene/ferromagnet spintronic logic gate system with over 100 logic operations before spin-charge conversion, enabling low-power, high-speed nanoelectronics.
Findings
Smaller area and faster speed than CMOS
Over 100 spin-based logic operations without spin-charge conversion
Low power consumption in CMOS integration
Abstract
This paper presents a novel design concept for spintronic nanoelectronics that emphasizes a seamless integration of spin-based memory and logic circuits. The building blocks are magneto-logic gates based on a hybrid graphene/ferromagnet material system. We use network search engines as a technology demonstration vehicle and present a spin-based circuit design with smaller area, faster speed, and lower energy consumption than the state-of-the-art CMOS counterparts. This design can also be applied in applications such as data compression, coding and image recognition. In the proposed scheme, over 100 spin-based logic operations are carried out before any need for a spin-charge conversion. Consequently, supporting CMOS electronics requires little power consumption. The spintronic-CMOS integrated system can be implemented on a single 3-D chip. These nonvolatile logic circuits hold potential…
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