Impact of Molecular Electrostatics on Field-Coupled Nanocomputing and Quantum-Dot Cellular Automata Circuits

Author:

Ardesi YuriORCID,Beretta GiulianaORCID,Vacca MarcoORCID,Piccinini GianlucaORCID,Graziano MariagraziaORCID

Abstract

The molecular Field-Coupled Nanocomputing (FCN) is a promising implementation of the Quantum-dot Cellular Automata (QCA) paradigm for future low-power digital electronics. However, most of the literature assumes all the QCA devices as possible molecular FCN devices, ignoring the molecular physics. Indeed, the electrostatic molecular characteristics play a relevant role in the interaction and consequently influence the functioning of the circuits. In this work, by considering three reference molecular species, namely neutral, oxidized, and zwitterionic, we analyze the fundamental devices, aiming to clarify how molecule physics impacts architectural behavior. We thus examine through energy analysis the fundamental cell-to-cell interactions involved in the layouts. Additionally, we simulate a set of circuits using two available simulators: SCERPA and QCADesigner. In fact, ignoring the molecular characteristics and assuming the molecules copying the QCA behavior lead to controversial molecular circuit proposals. This work demonstrates the importance of considering the molecular type during the design process, thus declaring the simulators working scope and facilitating the assessment of molecular FCN as a possible candidate for future digital electronics.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Cited by 10 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. Hybrid Quantum-Dot Cellular Automata Nanocomputing Circuits;Electronics;2024-07-13

2. Unveiling Charge Dynamics in Molecular Field-Coupled Nanocomputing;2024 IEEE 24th International Conference on Nanotechnology (NANO);2024-07-08

3. Modeling Molecules for Field-Coupled Nanocomputing Circuit Design;2024 IEEE 24th International Conference on Nanotechnology (NANO);2024-07-08

4. Addressing multi-molecule field-coupled nanocomputing for neural networks with SCERPA;Journal of Computational Electronics;2024-06-12

5. An Ultra-Energy-Efficient Reversible Quantum-Dot Cellular Automata 8:1 Multiplexer Circuit;Quantum Reports;2024-01-16

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