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Prediction of Surface Tension, Viscosity, and Thermal Conductivity for Common Organic Solvents Using Quantitative Structure−Property Relationships

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Prediction of liquid viscosity for organic compounds by a quantitative structure-property relationship
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The Molecular Connectivity Chi Indexes and Kappa Shape Indexes in Structure‐Property Modeling
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Suitability of the PM3‐derived molecular electrostatic potentials
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Estimation of pKa for organic oxyacids using calculated atomic charges
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Computer assisted studies of chemical structure and biological function
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Distinguishing Atom Differences in a Molecular Graph Shape Index
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Physical Factors Contributing to Hydrophobic Constant π
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MOPAC: A semiempirical molecular orbital program
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Search for all self-avoiding paths for molecular graphs
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Quantum chemistry program exchange
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Prediction of Reduced Ion Mobility Constants from Structural Information Using Multiple Linear Regression Analysis and Computational Neural Networks
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Development and use of charged partial surface area structural descriptors in computer-assisted quantitative structure-property relationship studies
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Automated Descriptor Selection for Quantitative Structure-Activity Relationships Using Generalized Simulated Annealing
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A simple method for the representation, quantification, and comparison of the volumes and shapes of chemical compounds
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Irredundant Generation of Isomeric Molecular Structures with Some Known Fragments
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Development of Both Linear and Nonlinear Methods To Predict the Liquid Viscosity at 20 °C of Organic Compounds
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Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure
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Estimation of the Liquid Viscosity of Organic Compounds with a Quantitative Structure−Property Model
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Structurally Diverse Quantitative Structure−Property Relationship Correlations of Technologically Relevant Physical Properties
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Development of Quantitative Structure−Property Relationships Using Calculated Descriptors for the Prediction of the Physicochemical Properties (nD, ρ, bp, ε, η) of a Series of Organic Solvents
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QSAR studies on drugs acting at the central nervous system

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Quantitative Structure‐Property Relationships
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Additional file 2 of Advancing material property prediction: using physics-informed machine learning models for viscosity
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Additional file 3 of Advancing material property prediction: using physics-informed machine learning models for viscosity
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