Chemical Wave Computing from Labware to Electrical Systems

Publikation: Beitrag in FachzeitschriftÜbersichtsartikel (Review)BeigetragenBegutachtung

Beitragende

  • Theodoros Panagiotis Chatzinikolaou - , Democritus University of Thrace (Autor:in)
  • Iosif Angelos Fyrigos - , Democritus University of Thrace (Autor:in)
  • Vasileios Ntinas - , Democritus University of Thrace, UPC Universitat Politècnica de Catalunya (Barcelona Tech) (Autor:in)
  • Stavros Kitsios - , National Technical University of Athens (Autor:in)
  • Michail Antisthenis Tsompanas - , Democritus University of Thrace, University of the West of England (Autor:in)
  • Panagiotis Bousoulas - , National Technical University of Athens (Autor:in)
  • Dimitris Tsoukalas - , National Technical University of Athens (Autor:in)
  • Andrew Adamatzky - , University of the West of England (Autor:in)
  • Georgios Ch Sirakoulis - , Democritus University of Thrace (Autor:in)

Abstract

Unconventional and, specifically, wave computing has been repeatedly studied in laboratory based experiments by utilizing chemical systems like a thin film of Belousov–Zhabotinsky (BZ) reactions. Nonetheless, the principles demonstrated by this chemical computer were mimicked by mathematical models to enhance the understanding of these systems and enable a more detailed investigation of their capacity. As expected, the computerized counterparts of the laboratory based experiments are faster and less expensive. A further step of acceleration in wave-based computing is the development of electrical circuits that imitate the dynamics of chemical computers. A key component of the electrical circuits is the memristor which facilitates the non-linear behavior of the chemical systems. As part of this concept, the road-map of the inspiration from wave-based computing on chemical media towards the implementation of equivalent systems on oscillating memristive circuits was studied here. For illustration reasons, the most straightforward example was demonstrated, namely the approximation of Boolean gates.

Details

OriginalspracheEnglisch
Aufsatznummer1683
FachzeitschriftElectronics (Switzerland)
Jahrgang11
Ausgabenummer11
PublikationsstatusVeröffentlicht - 1 Juni 2022
Peer-Review-StatusJa
Extern publiziertJa

Schlagworte

Schlagwörter

  • chemical computing, memristive circuits, memristor, oscillatory networks, unconventional computing, wave propagation

Bibliotheksschlagworte