Author:
Tamatsu Takeshi,Sato Haruki,Watanabe Koichi
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Cited by
16 articles.
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1. Insights into the prediction of the liquid density of refrigerant systems by artificial intelligent approaches;Scientific Reports;2024-01-29
2. Experimental Measurements of Saturated Vapor Pressures for R1234ze(Z), R600a, and R134;Journal of Thermophysics and Heat Transfer;2019-07
3. Measurements of isothermal (vapour + liquid) equilibrium for the 1,1,2,2-1,1,2,2-tetrafluoroethane (R134) + cis -1,3,3,3-tetrafluoropropene (R1234ze(Z)) system at temperatures from (303.150 to 343.150) K;The Journal of Chemical Thermodynamics;2017-08
4. Application of the extended LJ potential-based equation of state to predict the density of five different classes of refrigerant systems (HCFCs, HFCs, HFEs, PFAs, and PFAAs);Physics and Chemistry of Liquids;2015-11-25
5. Liquid density prediction of five different classes of refrigerant systems (HCFCs, HFCs, HFEs, PFAs and PFAAs) using the artificial neural network-group contribution method;International Journal of Refrigeration;2014-12