Zeren Jiao
Affiliations: | Chemical Engineering | Texas A & M University, College Station, TX, United States |
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"Zeren Jiao"
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Publications
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Zhu J, Kong Q, Zheng S, et al. (2020) Toxicological evaluation of ionic liquid in a biological functional tissue construct model based on nano-hydroxyapatite/chitosan/gelatin hybrid scaffolds. International Journal of Biological Macromolecules |
Jiao Z, Sun Y, Hong Y, et al. (2020) Development of Flammable Dispersion Quantitative Property–Consequence Relationship Models Using Extreme Gradient Boosting Industrial & Engineering Chemistry Research. 59: 15109-15118 |
Mi H, Liu Y, Jiao Z, et al. (2020) A numerical study on the optimization of ventilation mode during emergency of cable fire in utility tunnel Tunnelling and Underground Space Technology. 100: 103403 |
Shen R, Jiao Z, Parker T, et al. (2020) Recent application of Computational Fluid Dynamics (CFD) in process safety and loss prevention: A review Journal of Loss Prevention in the Process Industries. 67: 104252 |
Jiao Z, Ji C, Yuan S, et al. (2020) Development of machine learning based prediction models for hazardous properties of chemical mixtures Journal of Loss Prevention in the Process Industries. 67: 104226 |
Jiao Z, Yuan S, Zhang Z, et al. (2020) Machine learning prediction of hydrocarbon mixture lower flammability limits using quantitative structure‐property relationship models Process Safety Progress. 39 |
Yuan S, Jiao Z, Quddus N, et al. (2019) Developing Quantitative Structure–Property Relationship Models To Predict the Upper Flammability Limit Using Machine Learning Industrial & Engineering Chemistry Research. 58: 3531-3537 |
Jiao Z, Escobar-Hernandez HU, Parker T, et al. (2019) Review of recent developments of quantitative structure-property relationship models on fire and explosion-related properties Process Safety and Environmental Protection. 129: 280-290 |
Jiao Z, Yuan S, Ji C, et al. (2019) Optimization of dilution ventilation layout design in confined environments using Computational Fluid Dynamics (CFD) Journal of Loss Prevention in the Process Industries. 60: 195-202 |