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Stop wrestling with cumbersome simulation engine interfaces: ChemFit offers a Pythonic, massively concurrent framework for parameter optimization in computational chemistry.
Forget hand-engineered structural features: this method uses molecular dynamics-derived thermodynamic properties to train ML models that extrapolate to completely novel chemical spaces, like inorganics, where traditional models fail.
