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

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Thomas Blaudeck - , Chemnitz University of Technology, Fraunhofer Institute for Electronic Nano Systems (Author)
  • Christoph R. Meinecke - , Chemnitz University of Technology (Author)
  • Danny Reuter - , Chemnitz University of Technology, Fraunhofer Institute for Electronic Nano Systems (Author)
  • Sönke Steenhusen - , Fraunhofer Institute for Silicate Research ISC (Author)
  • Archa Jain - , Chemnitz University of Technology, Fraunhofer Institute for Electronic Nano Systems (Author)
  • Sascha Hermann - , Chemnitz University of Technology, Fraunhofer Institute for Electronic Nano Systems (Author)
  • Stefan E. Schulz - , Chemnitz University of Technology, Fraunhofer Institute for Electronic Nano Systems (Author)
  • Eduard I. Zenkevich - , Chemnitz University of Technology, Fraunhofer Institute for Electronic Nano Systems, Belarusian National Technical University (Author)
  • Till Korten - , Chair of BioNano-Tools (Author)
  • Heiner Linke - , Lund University (Author)

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

Original languageEnglish
Pages (from-to)15-27
Number of pages13
JournalStudies in Systems, Decision and Control
Publication statusPublished - 1 Jan 2022
Peer-reviewedYes

External IDs

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

Keywords

Research priority areas of TU Dresden

Keywords

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