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Use of the DIPPR Database for Development of QSPR Correlations: Normal Boiling Point
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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New group contribution method for estimating properties of pure compounds
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Handbook of Chemical Property Estimation Methods
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Vapor-liquid Equilibria Using Unifac
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Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure−Property Relationship
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Structurally Diverse Quantitative Structure−Property Relationship Correlations of Technologically Relevant Physical Properties
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Use of the DIPPR Database for Development of QSPR Correlations: Surface Tension
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Development of an Automated SMILES Pattern Matching Program To Facilitate the Prediction of Thermophysical Properties by Group Contribution Methods
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Correlation of Boiling Points with Molecular Structure. 1. A Training Set of 298 Diverse Organics and a Test Set of 9 Simple Inorganics
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Physical Properties of Molecular Crystals, Liquids and Glasses
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The properties of gases and liquids
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Establishing Consistent van der Waals Volumes of Polyatomic Ions from Crystal Structures
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Prediction of Physicochemical Properties
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Rapid Evaluation of Prediction Methods with DIPPR’s Automated Property Prediction Package
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A new method for calculating normal boiling point of liquids
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Machine learning-quantitative structure property relationship (ML-QSPR) method for fuel physicochemical properties prediction of multiple fuel types
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Gibbs energy additivity approaches to QSPR in modeling of high pressure density and kinematic viscosity of FAME and biodiesel
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A robust modeling approach to predict the surface tension of ionic liquids
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Publicly available models to predict normal boiling point of organic compounds
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Proper Use of the DIPPR 801 Database for Creation of Models, Methods, and Processes
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