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Jyh-Ping Hsu

Researcher at National Taiwan University

Publications -  9
Citations -  286

Jyh-Ping Hsu is an academic researcher from National Taiwan University. The author has contributed to research in topics: Derjaguin approximation & Particle. The author has an hindex of 5, co-authored 9 publications receiving 279 citations.

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Journal ArticleDOI

Biofouling in Membrane Bioreactor

TL;DR: In this paper, the authors reviewed research regarding how numerous process parameters impact biofouling rates and, in particular, the possible contribution of microbial products to bio fouling, and assessed their potential affect on membrane fouling.
Journal ArticleDOI

Evaluation of the electric force in electrophoresis.

TL;DR: It is shown that, depending upon the electrophoresis conditions, the electric force evaluated by the methods commonly used in the literature can be overestimated, thereby leading to incorrect electrophoretic mobility.
Reference BookDOI

Finely Dispersed Particles : Micro-, Nano-, and Atto-Engineering

TL;DR: In this paper, a detailed classification of fine-dispersed systems is presented, based on the properties of the charged particles and droplets of the system, and a detailed discussion of the different stages of the process is provided.
Book

Interfacial Electroviscoelasticity and Electrophoresis

TL;DR: In this paper, a new constitutive model of liquid-liquid dynamics has been proposed for fine-dispersed systems based on Scales Classification based on Geometry Classification Based on Geometrical Classification of Finely Dispersed Systems Classification of Geometrically Distributed Systems Classification Based On Scales and Geometry-based Classification Classification Based Based on Origin of Forces Classification Based based on Physical-Chemical Processes Classification Based by Entities General Historical Review and Motivation Pilot Plant for Uranium Extraction from Wet Phosphoric Acid Entrainment Problems in Solvent
Journal ArticleDOI

Residence time distribution of a cylindrical microreactor.

TL;DR: The results of the numerical simulation reveal that a thin double layer, a strong applied electric field, and a greater applied pressure gradient lead to a faster fluid flow and, therefore, a short residence time.