Combined Computational Approach Based on Density Functional Theory and Artificial Neural Networks for Predicting The Solubility Parameters of Fullerenes
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Determination of the solubility parameter of allyl imidazolium-based ionic liquid using inverse gas chromatography and Hansen solubility parameter in practice
Impact of the solubility of organic semiconductors for solution-processable electronics on the structure formation: a real-time study of morphology and electrical properties
The role of chemical structure in indacenodithienothiophene- alt -benzothiadiazole copolymers for high performance organic solar cells with improved photo-stability through minimization of burn-in loss
Enhancing Hansen Solubility Predictions: A Combined Approach Using Integrated Datasets and Optimized Machine Learning Techniques
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