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Estimation of the Liquid Viscosity of Organic Compounds with a Quantitative Structure−Property Model

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Computer-assisted approach to develop a new prediction method of liquid viscosity of organic compounds
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Quantitative structure-property relationship study of normal boiling points for halogen-/ oxygen-/ sulfur-containing organic compounds using the CODESSA program
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13C NMR Chemical Shift Prediction of sp2 Carbon Atoms in Acyclic Alkenes Using Neural Networks
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Prediction of Polymer Glass Transition Temperatures Using a General Quantitative Structure−Property Relationship Treatment
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Neural Network Studies. 2. Variable Selection
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A QSPR Study of the Solubility of Gases and Vapors in Water
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QSPR Treatment of the Unified Nonspecific Solvent Polarity Scale
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Normal Boiling Points for Organic Compounds: Correlation and Prediction by a Quantitative Structure−Property Relationship
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QSPR Studies on Vapor Pressure, Aqueous Solubility, and the Prediction of Water−Air Partition Coefficients
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General Quantitative Structure−Property Relationship Treatment of the Refractive Index of Organic Compounds
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A preliminary structure-activity study of the mixed-function oxidase inhibitor, 7,8-benzoflavone
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2-Benzylaziridines. Cyclic analogs of amphetamines
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Prediction of viscosity of organic liquids

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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