A COSMO-RS based QSPR model for the lubricity of biodiesel and petrodiesel components-Reference-Cited by-同舟云学术

A COSMO-RS based QSPR model for the lubricity of biodiesel and petrodiesel components

Published:2011-04-03 Issue:6 Volume:23 Page:249-262
ISSN:0954-0075
Container-title:Lubrication Science
language:en
Short-container-title:Lubrication Science

Author:

Masuch K.¹,Fatemi A.²,Murrenhoff H.²,Leonhard K.¹

Affiliation:

1. Chair of Technical Thermodynamics; RWTH Aachen University; 52062; Aachen; Germany

2. Institute of Fluid Power Drives and Control; RWTH Aachen University; 52062; Aachen; Germany

Publisher

Wiley

Subject

Materials Chemistry,Surfaces, Coatings and Films

Reference47 articles.

1. ASTM D6079-99 Standard Test Method for Evaluating Lubricity of Diesel Fuels by the High-Frequency Reciprocating Rig (HFRR) ASTM Annual Book of Standards American Society for Testing and Materials West Conshohocken, PA

2. COSMO: a new approach to dielectric screening in solvents with explicit expressions for the screening energy and its gradient;Klamt;Journal of the Chemical Society, Perkin Transactions,1993

3. Use of COSMO-RS for prediction of adsorption equilibria;Mehler;AIChE Journal,2002

4. COSMO-RS: a novel and efficient method for the a priori prediction of thermophysical data of liquids;Klamt;Fluid Phase Equilibria,2000

5. Quantum mechanics: a new tool for engineering thermodynamics;Sandler;Fluid Phase Equilibria,2003

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Boosting Graph Neural Networks with Molecular Mechanics: A Case Study of Sigma Profile Prediction;Journal of Chemical Theory and Computation;2023-12-08

2. An Overview of Computer‐aided Molecular and Process Design;Chemie Ingenieur Technik;2023-01-30

3. The Development of Triglyceride-Based Additives and Their Lubricity Properties for Low Sulfur Fossil Diesel: A Review;Journal of Tribology;2022-05-20

4. A new QSPR-based prediction model for biofuel lubricity;Tribology International;2017-11

5. Improved Property Predictions by Combination of Predictive Models;Industrial & Engineering Chemistry Research;2017-03-08