Stochastic Computing Using Droplet-Based Microfluidics

Werner Haselmayr; Andreas Grimmer; Robert Wille

doi:10.1007/978-3-319-74727-9_24

Stochastic Computing Using Droplet-Based Microfluidics

Werner Haselmayr, Andreas Grimmer, Robert Wille

Johannes Kepler University Linz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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 language	English
Title of host publication	Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers
Editors	Franz Pichler, Roberto Moreno-Diaz, Alexis Quesada-Arencibia
Publisher	Springer Verlag
Pages	204-211
Number of pages	8
ISBN (Print)	9783319747262
DOIs	https://doi.org/10.1007/978-3-319-74727-9_24
State	Published - 2018
Externally published	Yes
Event	16th International Conference on Computer Aided Systems Theory, EUROCAST 2017 - Las Palmas de Gran Canaria, Spain Duration: 19 Feb 2017 → 24 Feb 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10672 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Computer Aided Systems Theory, EUROCAST 2017
Country/Territory	Spain
City	Las Palmas de Gran Canaria
Period	19/02/17 → 24/02/17

Keywords

Droplet-based microfluidics
Microfluidic computing
Microfluidic gates
Stochastic computing

Access to Document

10.1007/978-3-319-74727-9_24

Cite this

Haselmayr, W., Grimmer, A., & Wille, R. (2018). Stochastic Computing Using Droplet-Based Microfluidics. In F. Pichler, R. Moreno-Diaz, & A. Quesada-Arencibia (Eds.), Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers (pp. 204-211). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10672 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-74727-9_24

Haselmayr, Werner ; Grimmer, Andreas ; Wille, Robert. / Stochastic Computing Using Droplet-Based Microfluidics. Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. editor / Franz Pichler ; Roberto Moreno-Diaz ; Alexis Quesada-Arencibia. Springer Verlag, 2018. pp. 204-211 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Stochastic Computing Using Droplet-Based Microfluidics",

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.",

keywords = "Droplet-based microfluidics, Microfluidic computing, Microfluidic gates, Stochastic computing",

author = "Werner Haselmayr and Andreas Grimmer and Robert Wille",

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year = "2018",

doi = "10.1007/978-3-319-74727-9_24",

language = "English",

isbn = "9783319747262",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Haselmayr, W, Grimmer, A & Wille, R 2018, Stochastic Computing Using Droplet-Based Microfluidics. in F Pichler, R Moreno-Diaz & A Quesada-Arencibia (eds), Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10672 LNCS, Springer Verlag, pp. 204-211, 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, Las Palmas de Gran Canaria, Spain, 19/02/17. https://doi.org/10.1007/978-3-319-74727-9_24

Stochastic Computing Using Droplet-Based Microfluidics. / Haselmayr, Werner; Grimmer, Andreas; Wille, Robert.
Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. ed. / Franz Pichler; Roberto Moreno-Diaz; Alexis Quesada-Arencibia. Springer Verlag, 2018. p. 204-211 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10672 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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KW - Microfluidic computing

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DO - 10.1007/978-3-319-74727-9_24

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SN - 9783319747262

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Haselmayr W, Grimmer A, Wille R. Stochastic Computing Using Droplet-Based Microfluidics. In Pichler F, Moreno-Diaz R, Quesada-Arencibia A, editors, Computer Aided Systems Theory – EUROCAST 2017 - 16th International Conference, Revised Selected Papers. Springer Verlag. 2018. p. 204-211. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-74727-9_24

Stochastic Computing Using Droplet-Based Microfluidics

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