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Identification of nucleation rates in droplet-based microfluidic systems
Kejia Chen
, Limay Goh
, Guangwen He
,
Paul J.A. Kenis
, Charles F. Zukoski
, Richard D. Braatz
Chemical and Biomolecular Engineering
Bioengineering
Mechanical Science and Engineering
Beckman Institute for Advanced Science and Technology
Carl R. Woese Institute for Genomic Biology
Micro and Nanotechnology Lab
Materials Research Lab
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Keyphrases
Nucleation Rate
100%
Microfluidic System
100%
Droplet Microfluidics
100%
High Supersaturation
66%
Nucleation Kinetics
66%
Crystallizer
66%
Microfluidic Platform
66%
Aqueous Solution
33%
Analytical Solution
33%
Analytical Expression
33%
Pharmaceutical Chemicals
33%
Kinetic Data
33%
Induction Time
33%
Supersaturation
33%
Paracetamol
33%
Classical Theory
33%
Solvent System
33%
Pharmaceutical Biotechnology
33%
Solute-solvent
33%
Confined Impinging Jets Mixer
33%
Vortex Mixer
33%
Crystal nucleus
33%
Numerical Algorithms
33%
Nucleus Formation
33%
Chemical Master Equation
33%
High-throughput Microfluidics
33%
Classical nucleation Theory
33%
Linear Splines
33%
Glycine Crystals
33%
Fine Chemical Industry
33%
Finite Volume Effects
33%
Engineering
Nucleation Rate
100%
Supersaturation
100%
Microfluidic Platform
66%
Crystallizer
66%
Master Equation
33%
Induction Time
33%
Classical Theory
33%
Fine Chemical
33%
Classical Nucleation Theory
33%
Mixers (Machinery)
33%
Vortex
33%
Aqueous Solution
33%
Material Science
Nucleation
100%
Supersaturation
27%
Vortex
9%