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Stochastic Computing Using Droplet-Based Microfluidics

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Abstract

In this work, we consider the realization of stochastic computing in the microfluidic domain. To this end, we exploit the fact that both, the bit streams and the operations required for stochastic computing can be realized in microfluidic systems through droplet streams and microfluidic gates. Simulating the trajectory of the individual droplets through the microfluidic gates confirmed the validity of our approach.
Original languageEnglish
Title of host publicationInternational Conference on Computer Aided System Theory 2017 (EUROCAST 2017)
EditorsFranz Pichler, Roberto Moreno-Diaz, Alexis Quesada-Arencibia
Pages204-211
Number of pages8
DOIs
Publication statusPublished - Feb 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10672 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 202038 Telecommunications
  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202030 Communication engineering
  • 202037 Signal processing

JKU Focus areas

  • Mechatronics and Information Processing

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