Biocomputation Using Molecular Agents Moving in Microfluidic Channel Networks: An Alternative Platform for Information Technology

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Thomas Blaudeck - , Technische Universität Chemnitz, Fraunhofer Institute for Electronic Nano Systems (Autor:in)
  • Christoph R. Meinecke - , Technische Universität Chemnitz (Autor:in)
  • Danny Reuter - , Technische Universität Chemnitz, Fraunhofer Institute for Electronic Nano Systems (Autor:in)
  • Sönke Steenhusen - , Fraunhofer Institute for Silicate Research ISC (Autor:in)
  • Archa Jain - , Technische Universität Chemnitz, Fraunhofer Institute for Electronic Nano Systems (Autor:in)
  • Sascha Hermann - , Technische Universität Chemnitz, Fraunhofer Institute for Electronic Nano Systems (Autor:in)
  • Stefan E. Schulz - , Technische Universität Chemnitz, Fraunhofer Institute for Electronic Nano Systems (Autor:in)
  • Eduard I. Zenkevich - , Technische Universität Chemnitz, Fraunhofer Institute for Electronic Nano Systems, Belarusian National Technical University (Autor:in)
  • Till Korten - , Professur für BioNano-Werkzeuge (Autor:in)
  • Heiner Linke - , Lund University (Autor:in)

Abstract

Deficiencies in software or computer chips cause computers or smartphones to crash and allow hackers to steal passwords. Automated test procedures could avoid these problems. However, the computing power and cooling requirements of conventional computers increase exponentially with the size of the problem, so that the technological limits for solving these problems will soon be reached. The EU project Bio4Comp aims to develop concepts for a bio-computer to help overcome these two main problems. Compared to conventional computers, computers based on biological molecular motors only consume a fraction of the energy per arithmetic operation and scale very well for problems that can be parallelized (“multitasking”). In this article, the topic network-based biocomputation (NBC) i.e. computing with biological molecules as agents that are driven by molecular motors in microfluidic networks, is presented as an alternative approach to computing, data processing, and information technology.

Details

OriginalspracheEnglisch
Seiten (von - bis)15-27
Seitenumfang13
FachzeitschriftStudies in Systems, Decision and Control
PublikationsstatusVeröffentlicht - 1 Jan. 2022
Peer-Review-StatusJa

Externe IDs

unpaywall 10.1007/978-3-030-95116-0_2

Schlagworte

Forschungsprofillinien der TU Dresden

Schlagwörter

  • Biological molecular motors, Information technologies, Microfluidic networks, Nanooptical methods of fabrication and analytics