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Lin-Ying Zhang

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ConSolv: Solvent-Conditional Machine Learning Implicit Solvent Potential

ConSolv is presented, a solvent-conditional MLP architecture that explicitly incorporates solvent effects on solute interactions through an attention-based solvent embedding block that outperforms classical explicit solvent methods and selected ab initio implicit solvent approaches across multiple solvation free energy...

Lin-Ying Zhang, J. Zavadlav · 1 citation

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