Liyan Liu

ORCID: 0000-0003-1941-1689
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About
Contact & Profiles
Research Areas
  • Wind and Air Flow Studies
  • Graphene research and applications
  • Fire dynamics and safety research
  • Minerals Flotation and Separation Techniques
  • Advanced Sensor and Energy Harvesting Materials
  • Fluid Dynamics and Vibration Analysis
  • Combustion and Detonation Processes
  • Membrane Separation Technologies
  • Enhanced Oil Recovery Techniques
  • Textile materials and evaluations
  • Mechanical stress and fatigue analysis
  • Vibration and Dynamic Analysis
  • Ultrasound and Cavitation Phenomena
  • Advanced Battery Materials and Technologies
  • Membrane-based Ion Separation Techniques
  • Advancements in Battery Materials
  • Graphene and Nanomaterials Applications
  • Phase Equilibria and Thermodynamics
  • Landfill Environmental Impact Studies
  • Cyclone Separators and Fluid Dynamics
  • Nanopore and Nanochannel Transport Studies
  • Thermodynamic properties of mixtures
  • Translation Studies and Practices
  • Coagulation and Flocculation Studies
  • Iterative Learning Control Systems

Kaiser Permanente
2010-2025

Zhengzhou University
2025

Hebei University
2023-2025

Hebei Medical University
2025

Tianjin University
2015-2024

Tiangong University
2007-2024

Shandong University of Political Science and Law
2024

State Key Laboratory of Chemical Engineering
2024

China University of Mining and Technology
2024

Changchun University of Science and Technology
2024

Hard carbon (HC) has attracted considerable attention in the application of sodium-ion battery (SIB) anodes, but poor realistic capacity and low rate performance severely hinder their practical application. Herein we report a solvent mechanochemical protocol for situ fabrication HC-MXene/TiO2 electrode by functionalizing MXene to improve electrochemical batteries. (Ti3C2Tx) with abundant oxygen-containing functional groups reacts HC particles ball milling process form Ti-O-C covalent...

10.1021/acsami.1c15539 article EN ACS Applied Materials & Interfaces 2021-10-21

Properly understanding of sludge rheological properties is important for designing pumping and translating. Effect thermal hydrolysis on municipal was studied using a rheometer (DHR-2) with concentric cylinder geometry. Test results indicated both raw treated displayed non-Newtonian behavior shear thinning, exhibiting thixotropic viscoelasticity. The Herschel–Bulkley model could represent their flow more accurately than other models. However, the sludge, as solid content reached 120 g/L,...

10.1021/ie501488q article EN Industrial & Engineering Chemistry Research 2014-06-12

10.1016/j.jlp.2017.03.005 article EN Journal of Loss Prevention in the Process Industries 2017-03-11

This work aimed to investigate the degradation efficiency of waste water with an azo dye, Acid Red 73 (AR73), by persulfate/heat/Fe3O4@AC/ultrasound (US). The introduction ultrasound into persulfate/heat/Fe3O4@AC system greatly enhanced reaction rate because physical and chemical effects induced cavitation. Various parameters such as temperature, initial pH, sodium persulfate dosage, catalyst concentration AR73, ultrasonic frequency power, free-radical quenching agents were investigated....

10.1021/acsomega.0c00903 article EN publisher-specific-oa ACS Omega 2020-06-02

With the development of energy-storage and conversion technology pollution degradation technology, it is important to develop a low-cost mass-produced catalyst with high catalytic activities. Graphynes are two-dimensional carbon materials made sp sp2 hybrid atoms in accordance certain rules. Theoretical calculations indicate that graphynes provide promising potential applications catalysis due their unique acetylene linkage, adjustable electronic properties, uniform pore, degrees...

10.1021/acscatal.1c04279 article EN ACS Catalysis 2021-11-08

10.1016/j.colsurfa.2022.130656 article EN Colloids and Surfaces A Physicochemical and Engineering Aspects 2022-11-24

According to the complexity of traffic historical data and randomness a lot uncertain factors influence, hybrid predicting model that combines both autoregressive integrated moving average (ARIMA) multilayer artificial neural network (MLANN) is proposed in this paper. ARIMA suitable for linear prediction MLFNN nonlinear prediction. This paper also investigates issue on how effectively short term flow time series with new algorithm, which estimates weights parameters ARMA model. Experimental...

10.1109/peits.2008.135 article EN 2008-08-01

Abstract Purpose Anti‐tumor necrosis factor‐alpha (anti‐TNF) therapies are associated with severe mycobacterial infections in rheumatoid arthritis patients. We developed and validated electronic record search algorithms for these serious infections. Methods The study used clinical, microbiologic, pharmacy records from Kaiser Permanente Northern California (KPNC) the Portland Veterans Affairs Medical Center (PVAMC). identified suspect tuberculosis nontuberculous mycobacteria (NTM) cases using...

10.1002/pds.2049 article EN Pharmacoepidemiology and Drug Safety 2010-12-10

10.1016/j.jlp.2020.104271 article EN Journal of Loss Prevention in the Process Industries 2020-08-14
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