Y
Yu Liu
Researcher at Virginia Tech
Publications - 73
Citations - 6105
Yu Liu is an academic researcher from Virginia Tech. The author has contributed to research in topics: Aerobic granulation & Granule (cell biology). The author has an hindex of 28, co-authored 73 publications receiving 5448 citations. Previous affiliations of Yu Liu include Nanyang Technological University & Princeton University.
Papers
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Journal ArticleDOI
Biosorption isotherms, kinetics and thermodynamics
Yu Liu,Ya-Juan Liu +1 more
TL;DR: In this article, the authors attempted to offer a better understating of representative biosorption isotherms, kinetics and thermodynamics with special focuses on theoretical approaches for derivation of combined Langmuir-Freundlich isotherm as well as the pseudo-first-and second-order kinetic equations and general rate law equation.
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The essential role of hydrodynamic shear force in the formation of biofilm and granular sludge
Yu Liu,Joo-Hwa Tay +1 more
TL;DR: It can be concluded that the knowledge regarding the effects of hydrodynamic shear force on biofilms and granules is far from complete and much research is still needed to fully understand the relevant mechanisms.
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State of the art of biogranulation technology for wastewater treatment.
Yu Liu,Joo-Hwa Tay +1 more
TL;DR: This review hopes to provide a platform for developing novel granules-based bioreactors and devising a unified interpretation of the formation of anaerobic and aerobic granules under various operation conditions.
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The effects of shear force on the formation, structure and metabolism of aerobic granules
Joo-Hwa Tay,Q.-S. Liu,Yu Liu +2 more
TL;DR: Experimental evidence is provided to show that shear force plays a crucial role in aerobic granulation and further influences the structure and metabolism of granules.
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Sigma-Profile Database for Using COSMO-Based Thermodynamic Methods
Eric Mullins,Richard Oldland,Yu Liu,Shu Wang,Stanley I. Sandler,Chau-Chyun Chen,Michael Zwolak,Kevin C. Seavey +7 more
TL;DR: In this paper, the authors present a web-based sigma profile database of 1432 compounds, which can facilitate predictions of thermodynamic properties and phase behaviors from COSMO-based thermodynamic models.