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Supporting Information for "Limitations of theory-informed machine learning algorithms for the prediction and exploration of molecular properties: solvation free energy as a case study"
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journal contribution
posted on 2025-07-29, 12:06
authored by
Jeffrey Ethier
,
Andrew Paluch
,
Vikas Varshney
Supporting Information
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Is supplement to
Limitations of theory-informed machine learning algorithms for the prediction and exploration of molecular properties: solvation free energy as a case study
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Categories
Chemical sciences
Physical sciences
Keywords
theory-informed machine learning
solvation free energy
active learning
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CC BY-NC 4.0
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