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Article

A Model for the Evaluation of Monostable Molecule Signal Energy in Molecular Field-Coupled Nanocomputing

1
Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy
2
Department of Applied Science and Technology, Politecnico di Torino, 10129 Torino, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Andrea Acquaviva
J. Low Power Electron. Appl. 2022, 12(1), 13; https://doi.org/10.3390/jlpea12010013
Received: 20 January 2022 / Revised: 11 February 2022 / Accepted: 17 February 2022 / Published: 1 March 2022
Molecular Field-Coupled Nanocomputing (FCN) is a computational paradigm promising high-frequency information elaboration at ambient temperature. This work proposes a model to evaluate the signal energy involved in propagating and elaborating the information. It splits the evaluation into several energy contributions calculated with closed-form expressions without computationally expensive calculation. The essential features of the 1,4-diallylbutane cation are evaluated with Density Functional Theory (DFT) and used in the model to evaluate circuit energy. This model enables understanding the information propagation mechanism in the FCN paradigm based on monostable molecules. We use the model to verify the bistable factor theory, describing the information propagation in molecular FCN based on monostable molecules, analyzed so far only from an electrostatic standpoint. Finally, the model is integrated into the SCERPA tool and used to quantify the information encoding stability and possible memory effects. The obtained results are consistent with state-of-the-art considerations and comparable with DFT calculation. View Full-Text
Keywords: molecular energy; molecular field-coupled nanocomputing; molecular electronics; molecular modeling; signal energy molecular energy; molecular field-coupled nanocomputing; molecular electronics; molecular modeling; signal energy
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MDPI and ACS Style

Ardesi, Y.; Graziano, M.; Piccinini, G. A Model for the Evaluation of Monostable Molecule Signal Energy in Molecular Field-Coupled Nanocomputing. J. Low Power Electron. Appl. 2022, 12, 13. https://doi.org/10.3390/jlpea12010013

AMA Style

Ardesi Y, Graziano M, Piccinini G. A Model for the Evaluation of Monostable Molecule Signal Energy in Molecular Field-Coupled Nanocomputing. Journal of Low Power Electronics and Applications. 2022; 12(1):13. https://doi.org/10.3390/jlpea12010013

Chicago/Turabian Style

Ardesi, Yuri, Mariagrazia Graziano, and Gianluca Piccinini. 2022. "A Model for the Evaluation of Monostable Molecule Signal Energy in Molecular Field-Coupled Nanocomputing" Journal of Low Power Electronics and Applications 12, no. 1: 13. https://doi.org/10.3390/jlpea12010013

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