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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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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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ChemInform Abstract: 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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Additional file 1 of Advancing material property prediction: using physics-informed machine learning models for viscosity
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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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Estimation de propriétés d'intérêt pour les électrolytes liquides
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