ArticleJournal of chemical and engineering data2020
Entropy Scaling of Viscosity - I: A Case Study of Propane.
Article in Journal of chemical and engineering data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed.
- Article
- Viscosity and Thermal Conductivity Models of 151 Common Fluids Based on Residual Entropy Scaling and Cubic Equations of State.ACS omega · 2025Article
- Entropy Scaling of Viscosity IV-Application to 124 Industrially Important Fluids.Journal of chemical and engineering data · 2025Article
- Linking Thermal Conductivity to Equations of State Using the Residual Entropy Scaling Theory.Industrial & engineering chemistry research · 2024Article
- Simulation and Data-Driven Modeling of the Transport Properties of the Mie Fluid.The journal of physical chemistry. B · 2024Article
- Entropy Scaling of Viscosity - II: Predictive Scheme for Normal Alkanes.Journal of chemical and engineering data · 2020Article
- Excess-entropy scaling in supercooled binary mixtures.Nature communications · 2020Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
In this work, a broadly-applicable and simple approach for building high accuracy viscosity correlations is demonstrated for propane. The approach is based on the combination of a number of recent insights related to the use of residual entropy scaling, especially a new way of scaling the viscosity for consistency with the dilute-gas limit. With three adjustable parameters in the dense phase, the primary viscosity data for propane are predicted with a mean absolute relative deviation of 1.38%, and 95% of the primary data are predicted within a relative error band of less than 5%. The dimensionality of the dense-phase contribution is reduced from the conventional two dimensional approach (temperature and density) to a one-dimensional correlation with residual entropy as the independent variable. The simplicity of the model formulation ensures smooth extrapolation behavior (barring errors in the equation of state itself). The approach proposed here should be applicable to a wide range of chemical species. The supporting information includes the relevant data in tabular form and a Python implementation of the model.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.