ConSolv is a solvent-conditional attention-based MLP trained on experimental and ab initio solvation free energies that generalizes across 66 organic solvents and matches some experimental NMR data.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.chem-ph 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
ConSolv: Solvent-Conditional Machine Learning Implicit Solvent Potential
ConSolv is a solvent-conditional attention-based MLP trained on experimental and ab initio solvation free energies that generalizes across 66 organic solvents and matches some experimental NMR data.