Mixed-domain and reduced-order modeling of electroosmotic transport in bio-MEMS

R. Qiao; Narayana R Aluru

doi:10.1109/BMAS.2000.888364

Mixed-domain and reduced-order modeling of electroosmotic transport in bio-MEMS

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

Abstract

A popular mechanism for transport of biological and non-biological fluidic samples in micro-scale geometries is the use of electrical fields. The use of electrical potentials to transport fluids is referred to as electroosmosis. In this paper, we present theories and results for electroosmotic transport in Bio-MEMS applications. In particular, we will describe approaches for efficient mixed-domain simulation of electroosmotic transport, and the extraction of reduced-order or low-order models for electroosmotic transport.

Original language	English (US)
Title of host publication	2000 IEEE/ACM International Workshop on Behavioral Modeling and Simulation
Pages	51-56
Number of pages	6
DOIs	https://doi.org/10.1109/BMAS.2000.888364
State	Published - Dec 1 2000
Event	2000 IEEE/ACM International Workshop on Behavioral Modeling and Simulation (BMAS 2000) - Orlando, FL, United States Duration: Oct 19 2000 → Oct 20 2000

Publication series

Name	2000 IEEE/ACM International Workshop on Behavioral Modeling and Simulation

Other

Other	2000 IEEE/ACM International Workshop on Behavioral Modeling and Simulation (BMAS 2000)
Country	United States
City	Orlando, FL
Period	10/19/00 → 10/20/00

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/BMAS.2000.888364

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Cite this

Qiao, R & Aluru, NR 2000, Mixed-domain and reduced-order modeling of electroosmotic transport in bio-MEMS. in 2000 IEEE/ACM International Workshop on Behavioral Modeling and Simulation. 2000 IEEE/ACM International Workshop on Behavioral Modeling and Simulation, pp. 51-56, 2000 IEEE/ACM International Workshop on Behavioral Modeling and Simulation (BMAS 2000), Orlando, FL, United States, 10/19/00. https://doi.org/10.1109/BMAS.2000.888364

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