Surrogate-based optimization with adaptive sampling for microfluidic concentration gradient generator design
Author:
Affiliation:
1. Department of Mechanical Engineering
2. University of South Carolina
3. Columbia
4. USA
5. Department of Traffic Information and Control Engineering
6. Tongji University
7. Shanghai
8. P. R. China
Abstract
Surrogate-based optimization (SBO) with adaptive sampling method is established for microfluidic concentration gradient generators (μCGGs) design.
Funder
University of South Carolina
Publisher
Royal Society of Chemistry (RSC)
Subject
General Chemical Engineering,General Chemistry
Link
http://pubs.rsc.org/en/content/articlepdf/2020/RA/D0RA01586E
Reference37 articles.
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5. A radial microfluidic concentration gradient generator with high-density channels for cell apoptosis assay
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