Bibliographies thématiques / Molecular Field-Coupled Nanocomputing

Littérature scientifique sur le sujet « Molecular Field-Coupled Nanocomputing »

Auteur : Grafiati
Publié le 14 mars 2023

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Articles de revues sur le sujet "Molecular Field-Coupled Nanocomputing"

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Ardesi, Yuri, Alessandro Gaeta, Giuliana Beretta, Gianluca Piccinini et Mariagrazia Graziano. « Ab initio Molecular Dynamics Simulations of Field-Coupled Nanocomputing Molecules ». Journal of Integrated Circuits and Systems 16, no 1 (5 avril 2021) : 1–8. http://dx.doi.org/10.29292/jics.v16i1.474.

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Molecular Field-Coupled Nanocomputing (FCN) represents one of the most promising solutions to overcome the issues introduced by CMOS scaling. It encodes the information in the molecule charge distribution and propagates it through electrostatic intermolecular interaction. The need for charge transport is overcome, hugely reducing power dissipation.At the current state-of-the-art, the analysis of molecular FCN is mostly based on quantum mechanics techniques, or ab initio evaluated transcharacteristics. In all the cases, studies mainly consider the position of charges/atoms to be fixed. In a realistic situation, the position of atoms, thus the geometry, is subjected to molecular vibrations. In this work, we analyse the impact of molecular vibrations on the charge distribution of the 1,4-diallyl butane. We employ Ab Initio Molecular Dynamics to provide qualitative and quantitative results which describe the effects of temperature and electric fields on molecule charge distribution, taking into account the effects of molecular vibrations. The molecules are studied at near-absolute zero, cryogenic and ambient temperature conditions, showing promising results which proceed towards the assessment of the molecular FCN technology as a possible candidate for future low-power digital electronics. From a modelling perspective, the diallyl butane demonstrates good robustness against molecular vibrations, further confirming the possibility to use static transcharacteristics to analyse molecular circuits.
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Ardesi, Yuri, Giuliana Beretta, Marco Vacca, Gianluca Piccinini et Mariagrazia Graziano. « Impact of Molecular Electrostatics on Field-Coupled Nanocomputing and Quantum-Dot Cellular Automata Circuits ». Electronics 11, no 2 (16 janvier 2022) : 276. http://dx.doi.org/10.3390/electronics11020276.

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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.
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Ardesi, Yuri, Mariagrazia Graziano et Gianluca Piccinini. « 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 (1 mars 2022) : 13. http://dx.doi.org/10.3390/jlpea12010013.

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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.
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Ardesi, Yuri, Ruiyu Wang, Giovanna Turvani, Gianluca Piccinini et Mariagrazia Graziano. « SCERPA : A Self-Consistent Algorithm for the Evaluation of the Information Propagation in Molecular Field-Coupled Nanocomputing ». IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 39, no 10 (octobre 2020) : 2749–60. http://dx.doi.org/10.1109/tcad.2019.2960360.

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Thèses sur le sujet "Molecular Field-Coupled Nanocomputing"

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ARDESI, YURI. « Investigation of Molecular FCN for Beyond-CMOS : Technology, design, and modeling for nanocomputing ». Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2972447.

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Chapitres de livres sur le sujet "Molecular Field-Coupled Nanocomputing"

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Pulimeno, Azzurra, Mariagrazia Graziano, Aleandro Antidormi, Ruiyu Wang, Ali Zahir et Gianluca Piccinini. « Understanding a Bisferrocene Molecular QCA Wire ». Dans Field-Coupled Nanocomputing, 307–38. Berlin, Heidelberg : Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-43722-3_13.

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Pulimeno, Azzurra, Mariagrazia Graziano, Aleandro Antidormi, Ruiyu Wang, Ali Zahir et Gianluca Piccinini. « Understanding a Bisferrocene Molecular QCA Wire ». Dans Field-Coupled Nanocomputing, 307–38. Berlin, Heidelberg : Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45908-9_13.

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Actes de conférences sur le sujet "Molecular Field-Coupled Nanocomputing"

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Ardesi, Yuri, Luca Gnoli, Mariagrazia Graziano et Gianluca Piccinini. « Bistable Propagation of Monostable Molecules in Molecular Field-Coupled Nanocomputing ». Dans 2019 15th Conference on Ph.D Research in Microelectronics and Electronics (PRIME). IEEE, 2019. http://dx.doi.org/10.1109/prime.2019.8787751.

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Ardesi, Yuri, Giuliana Beretta, Christian Fabiano, Mariagrazia Graziano et Gianluca Piccinini. « A Reconfigurable Field-Coupled Nanocomputing Paradigm on Uniform Molecular Monolayers ». Dans 2021 International Conference on Rebooting Computing (ICRC). IEEE, 2021. http://dx.doi.org/10.1109/icrc53822.2021.00028.

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