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.
Recent Advances and Challenges in Thin-Film Fabrication Techniques for Low-Temperature Solid Oxide Fuel Cells
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.