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We propose and experimentally demonstrate a triple-mode single-transistor graphene amplifier utilizing a three-terminal back-gated single-layer graphene transistor. The ambipolar nature of electronic transport in graphene transistors leads to increased amplifier functionality as compared to amplifiers built with unipolar semiconductor devices. The ambipolar graphene transistors can be configured as n-type, p-type, or hybrid-type by changing the gate bias. As a result, the single-transistor graphene amplifier can operate in the common-source, common-drain, or frequency multiplication mode, respectively. This in-field controllability of the single-transistor graphene amplifier can be used to realize the modulation necessary for phase shift keying and frequency shift keying, which are widely used in wireless applications. It also offers new opportunities for designing analog circuits with simpler structure and higher integration densities for communications applications.

Abstract-Recently, several emerging technologies have been reported as potential candidates for controllable ambipolar devices. Controllable ambipolarity is a desirable property that enables the on-line configurability of n-type and p-type device polarity. In this paper, we introduce a new design methodology for logic gates based on controllable ambipolar devices, with an emphasis on carbon nanotubes as the candidate technology. Our technique results in ambipolar gates with a higher expressive power than conventional complementary metal-oxidesemiconductor (CMOS) libraries. We propose a library of static ambipolar carbon nanotube field effect transistor (CNTFET) gates based on generalized NOR-NAND-AOI-OAI primitives, which efficiently implements XOR-based functions. Technology mapping of several multi-level logic benchmarks that extensively use the XOR function, including multipliers, adders, and linear circuits, with ambipolar CNTFET logic gates indicates that on average, it is possible to reduce the number of logic levels by 42%, the delay by 26%, and the power consumption by 32%, resulting in a energy-delay-product (EDP) reduction of 59% over the same circuits mapped with unipolar CNTFET logic gates. Based on the projections in [1], where it is stated that defectfree CNTFETs will provide a 5× performance improvement over metal-oxide-semiconductor field effect transistors, the ambipolar library provides a performance improvement of 7×, a 57% reduction in power consumption, and a 20× improvement in EDP over the CMOS library.

Reliability of logic circuits is emerging as an important concern in scaled electronic technologies. Reliability analysis of logic circuits is computationally complex because of the exponential number of inputs, combinations, and correlations in gate failures. This paper presents three accurate and scalable algorithms for reliability analysis of logic circuits. The first algorithm, called observability-based reliability analysis, provides a closedform expression for reliability and is accurate when single gate failures are dominant in a logic circuit. The second algorithm, called single-pass reliability analysis, computes reliability in a single topological walk through the logic circuit. It computes the exact reliability for circuits without reconvergent fan-out, even in the presence of multiple gate failures. The algorithm can also handle circuits with reconvergent fan-out with high accuracy using correlation coefficients as described in this paper. The third algorithm, called maximum-k gate failure reliability analysis, allows a constraint on the maximum number (k) of gates that can fail simultaneously in a logic circuit. Simulation results for several benchmark circuits demonstrate the accuracy, performance, and potential applications of the proposed algorithms.

This paper exploits the unique in-field controllability of the device polarity of ambipolar carbon nanotube field effect transistors (CNTFETs) to design a technology library with higher expressive power than conventional CMOS libraries. Based on generalized NOR-NAND-AOI-OAI primitives, the proposed library of static ambipolar CNTFET gates efficiently implements XOR functions, provides full-swing outputs, and is extensible to alternate forms with areaperformance tradeoffs. Since the design of the gates can be regularized, the ability to functionalize them in-field opens opportunities for novel regular fabrics based on ambipolar CNTFETs. Technology mapping of several multi-level logic benchmarks -including multipliers, adders, and linear circuits -indicates that on average, it is possible to reduce both the number of gates and area by ∼ 38% while also improving performance by 6.9×.