Taming Molecular Field-Coupling for Nanocomputing Design

Author:

Ardesi Yuri1ORCID,Garlando Umberto1ORCID,Riente Fabrizio2ORCID,Beretta Giuliana2ORCID,Piccinini Gianluca2ORCID,Graziano Mariagrazia3ORCID

Affiliation:

1. Politecnico di Torino, Dept. of Electronics and Telecommunications, Torino, Italy

2. Politecnico di Torino, Dept. of Electronics and Telecommunications, Italy

3. Politecnico di Torino, Dept. of Applied Science and Technology, Torino, Italy

Abstract

Molecular Field-Coupling Nanocomputing (FCN) is one of the most promising technologies for overcoming Complementary Metal Oxide Semiconductor (CMOS) scaling issues. It encodes the information in the charge distribution of nanometric molecules and propagates it through local electrostatic intermolecular interaction. This technology promises very high speed at ambient temperatures with minimal power dissipation. The main research focus on molecular FCN is currently either on single-molecule low-level analysis or circuit design based on naïve assumptions. We aim to fill this gap, assessing the potential and feasibility of FCN. We present a bottom-up analysis and design framework that starts from the physical characterization of molecular and technological parameters and enables physical-aware FCN designs. The framework explicitly considers molecular physics, allowing the designer to tame the molecular interaction to ensure the computational capabilities of the final device. The framework permits studying possible physical effects that create cross-implications and correlations among physical and system-level layers considering possible behavior variability. We characterize and verify molecular propagation in increasingly structured layouts to design complex arithmetic circuits. The results highlight molecular FCN advantages, especially in area occupation, and provide valuable quantitative feedback to designers and technologists to support the assessment of molecular FCN and the realization of an eventual prototype.

Publisher

Association for Computing Machinery (ACM)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comprehensive and Comparative Analysis of QCA-based Circuit Designs for Next-generation Computation;ACM Computing Surveys;2023-11-25

2. A Roadmap for Molecular Field-Coupled Nanocomputing Actualization;2023 IEEE Nanotechnology Materials and Devices Conference (NMDC);2023-10-22

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