Transfer learning from QM9 with transformers and uncertainty quantification predicts Hansen solubility parameters, dielectric constants, and limited-data Gutmann numbers to enable green solvent screening.
Volatile Organic Compounds (VOCs) as Environmental Pollutants: Occurrence and Mitigation Using Nanomaterials
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A green solvent screening tool for emerging materials via uncertainty aware, transformer enhanced transfer learning
Transfer learning from QM9 with transformers and uncertainty quantification predicts Hansen solubility parameters, dielectric constants, and limited-data Gutmann numbers to enable green solvent screening.