Machine learning-based models for accessing thermal conductivity of liquids at different temperature conditions
Author:
Affiliation:
1. IFP Energies nouvelles, Rueil-Malmaison, France
2. CNRS, University of Bordeaux, ICMCB, UMR 5026, 33600 Pessac, France
Funder
funding
Publisher
Informa UK Limited
Subject
Drug Discovery,Molecular Medicine,General Medicine,Bioengineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2023.2244410
Reference34 articles.
1. The theory of the transient hot-wire method for measuring thermal conductivity
2. Simultaneous measurement of the thermal conductivity and the thermal diffusivity of liquids by the transient hot‐wire method
3. Measuring Thermal Conductivity in a Microfluidic Device With the Transient Thermal Offset (TTO) Method
4. A microfluidic strategy for accessing the thermal conductivity of liquids at different temperatures
5. Equation of state analog correlations for the viscosity and thermal conductivity of hydrocarbons and reservoir fluids
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