JOURNAL ARTICLE

Quantum Mechanical Design of Molecular Electronics Logical Machines.

  • Published In: Nonlinear Optics, Quantum Optics: Concepts in Modern Optics, 2023, v. 58, n. 3/4. P. 267 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: TAMULIS, A.; TAMULIENE, J.; TAMULIS, V.; ZIRIAKOVIENE, A.; GRAJA, A. 3 of 3

Abstract

There are presented several two and three variable gates of molecular electronics digital computers. Maximal length of these molecular electronics digital logic gates are no more than four nanometers and maximal width 2.5 nm. The results of light induced internal molecular motions in azo-dyes molecules [1-3] have been used for the design of light driven logically controlled (OR, AND, NOR, NAND) molecular machines composed from organic photoactive electron donor dithieno[3,2-b:2',3'-d]- thiophene, tetrathiofulvalene (TTF) or ferrocene molecules and electron accepting 4,5-dinitro-9-(dicyanomethylidene)-fluorene (DN9(CN)2F), tetracyano-indane, and moving azo-benzene fragment. Density functional theory (DFT) B3PW91/6-311G model calculations were performed for the geometry optimization of these molecular electronics logical gates. Applied DFT time dependent (DFT-TD/B3PW91) method and our visualization program give absorption spectra of designed molecular gates and show from which fragments electrons are hopping in various excited states. There are designed set of single supermolecule fluorescencing devices containing OR and AND logic functions. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Nonlinear Optics, Quantum Optics: Concepts in Modern Optics. 2023/09, Vol. 58, Issue 3/4, p267
  • Document Type:Article
  • Subject Area:Physics
  • Publication Date:2023
  • ISSN:1543-0537
  • Accession Number:176168335
  • Copyright Statement:Copyright of Nonlinear Optics, Quantum Optics: Concepts in Modern Optics is the property of Old City Publishing, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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