Accurate Quantitative Structure−Property Relationship Model To Predict the Solubility of C60 in Various Solvents Based on a Novel Approach Using a Least-Squares Support Vector Machine
Author:
Affiliation:
1. Department of Chemistry and Department of Computer Science, Lanzhou University, Lanzhou 730000, People's Republic of China, and Université Paris 7-Denis Diderot, ITODYS 1, rue Guy de la Brosse, 75005 Paris, France
Publisher
American Chemical Society (ACS)
Subject
Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/jp052223n
Reference39 articles.
1. Prediction of C60 Solubilities from Solvent Molecular Structures
2. Solubility of fullerene (C60) in a variety of solvents
3. Radial basis function network-based quantitative structure–property relationship for the prediction of Henry’s law constant
4. Toward an Optimal Procedure for Variable Selection and QSAR Model Building
5. Solubilities of Buckminsterfullerene and Sulfur Hexafluoride in Various Solvents
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