We investigate the use of endohedral fullerenes and 6-(Ferrocenyl)hexanethiol cation as molecular non-volatile memory devices. We demonstrate stable encoding of the information in the geometry and dipole moment of these molecules. The write operation can be performed with external programming electric fields that drive the switching of the molecule conformation. The read operation can be performed by reading the dipole moment through the generated electric fields. Moreover, the dipole moment encoding enables the integration of proposed memories with molecular Field-Coupled Nanocomputing logic. The capability to realize compatible and purely molecular memory and logic devices paves the way for molecular MemComputing, with new possibilities for nanoscale computing paradigms.

Conformation-based Molecular Memories for Nanoscale MemComputing / Ardesi, Yuri; Mo, Fabrizio; Spano, Chiara Elfi; Ardia, Gianmarco; Piccinini, Gianluca; Graziano, Mariagrazia. - ELETTRONICO. - (2023), pp. 694-697. (Intervento presentato al convegno 2023 IEEE 23rd International Conference on Nanotechnology (NANO) tenutosi a Jeju City, Korea, Republic of nel 02-05 July 2023) [10.1109/NANO58406.2023.10231199].

Conformation-based Molecular Memories for Nanoscale MemComputing

Ardesi, Yuri;Mo, Fabrizio;Spano, Chiara Elfi;Piccinini, Gianluca;Graziano, Mariagrazia
2023

Abstract

We investigate the use of endohedral fullerenes and 6-(Ferrocenyl)hexanethiol cation as molecular non-volatile memory devices. We demonstrate stable encoding of the information in the geometry and dipole moment of these molecules. The write operation can be performed with external programming electric fields that drive the switching of the molecule conformation. The read operation can be performed by reading the dipole moment through the generated electric fields. Moreover, the dipole moment encoding enables the integration of proposed memories with molecular Field-Coupled Nanocomputing logic. The capability to realize compatible and purely molecular memory and logic devices paves the way for molecular MemComputing, with new possibilities for nanoscale computing paradigms.
2023
979-8-3503-3346-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2981539