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Zhuoran Zhang
Zhuoran Zhang
DNV USA, Inc. / Texas A&M University
Verified email at dnv.com - Homepage
Title
Cited by
Cited by
Year
A review on cone calorimeter for assessment of flame-retarded polymer composites
Y Quan, Z Zhang, RN Tanchak, Q Wang
Journal of Thermal Analysis and Calorimetry 147 (19), 10209-10234, 2022
482022
Prediction of methane hydrate formation conditions in salt water using machine learning algorithms
H Xu, Z Jiao, Z Zhang, M Huffman, Q Wang
Computers & Chemical Engineering 151, 107358, 2021
392021
Machine learning prediction of hydrocarbon mixture lower flammability limits using quantitative structure‐property relationship models
Z Jiao, S Yuan, Z Zhang, Q Wang
Process Safety Progress 39 (2), e12103, 2020
292020
Development of machine learning based prediction models for hazardous properties of chemical mixtures
Z Jiao, C Ji, S Yuan, Z Zhang, Q Wang
Journal of Loss Prevention in the Process Industries 67, 104226, 2020
262020
Thermal stability and flammability studies of MXene–organic hybrid polystyrene nanocomposites
Z Zhang, H Cao, Y Quan, R Ma, EB Pentzer, MJ Green, Q Wang
Polymers 14 (6), 1213, 2022
252022
Metal–Organic Framework as an Efficient Synergist for Intumescent Flame Retardants against Highly Flammable Polypropylene
R Shen, Y Quan, Z Zhang, R Ma, Q Wang
Industrial & Engineering Chemistry Research 61 (21), 7292-7302, 2022
242022
Liquid flammability ratings predicted by machine learning considering aerosolization
S Yuan, Z Zhang, Y Sun, JSII Kwon, CV Mashuga
Journal of hazardous materials 386, 121640, 2020
232020
Thermal stability and flammability of cotton fabric with TiO2 coatings based on biomineralization
R Shen, T Fan, Y Quan, R Ma, Z Zhang, Y Li, Q Wang
Materials Chemistry and Physics 282, 125986, 2022
192022
Sustainable and efficient manufacturing of metal-organic framework-based polymer nanocomposites by reactive extrusion
Y Quan, R Shen, R Ma, Z Zhang, Q Wang
ACS Sustainable Chemistry & Engineering 10 (22), 7216-7222, 2022
152022
Development of solubility prediction models with ensemble learning
P Hu, Z Jiao, Z Zhang, Q Wang
Industrial & Engineering Chemistry Research 60 (30), 11627-11635, 2021
142021
Developing a CFD heat transfer model for applying high expansion foam in an LNG spill
Z Zhang, P Krishnan, Z Jiao, MS Mannan, Q Wang
Journal of Loss Prevention in the Process Industries 71, 104456, 2021
132021
Accelerated design of flame retardant polymeric nanocomposites via machine learning prediction
Z Zhang, Z Jiao, R Shen, P Song, Q Wang
ACS Applied Engineering Materials 1 (1), 596-605, 2022
122022
Synergistic effects of zeolitic imidazolate frameworks (ZIFs) with different transition metals on intumescent flame-retarded polypropylene composites: A comparative study
Y Quan, R Shen, C Schweizer, P Parajuli, Z Zhang, W Kulatilaka, Q Wang
Journal of Materials Science & Technology 155, 102-110, 2023
112023
A hazard index for chemical logistic warehouses with modified flammability rating by machine learning methods
Z Zhang, S Yuan, M Yu, MS Mannan, Q Wang
ACS Chemical Health & Safety 27 (3), 190-197, 2020
82020
Polyelectrolyte complex for flame retardant silk
NA Vest, AO Afonso, D Rodriguez-Melendez, J Ponis, DL Smith, ...
Polymer Degradation and Stability 216, 110491, 2023
42023
Multifunctional polyethylene nanocomposites based on polyethylene-grafted α-zirconium phosphate nanoplatelets
M Zhao, H Chen, Z Zhu, X Zhu, Y Quan, Z Zhang, HM Wu, JL Wu, ...
Polymer 261, 125422, 2022
32022
Efficient and sustainable synthesis of ZIF-67 for synergistically improving reaction-to-fire properties of biomass-based polypropylene composites
Y Quan, RN Tanchak, Z Zhang, Q Wang
Journal of Thermal Analysis and Calorimetry, 1-8, 2024
12024
Machine learning based quantitative consequence prediction models for toxic dispersion casualty
Z Jiao, Z Zhang, S Jung, Q Wang
Journal of Loss Prevention in the Process Industries 81, 104952, 2023
12023
Boron-based polyelectrolyte complex nanocoating for fire protection of engineered wood
D Rodriguez-Melendez, NA Vest, TJ Kolibaba, Y Quan, Z Zhang, ...
Cellulose, 1-12, 2024
2024
Machine learning for expediting next-generation of fire-retardant polymer composites
P Jafari, R Zhang, S Huo, Q Wang, J Yong, M Hong, R Deo, H Wang, ...
Composites Communications, 101806, 2023
2023
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Articles 1–20