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The aim is to evaluate the accuracy of the PreFerred Potential for predicting reaction thermodynamics of biomass molecules.

Accuracy of Advanced Neural Network Potential for Reaction Thermodynamics of Small Biomass Molecules

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The aim is to evaluate the accuracy of the PreFerred Potential for predicting reaction thermodynamics of biomass molecules.
Analyzed the performance of PreFerred Potential (PFP) in the Matlantis framework.
Compared reaction energies and enthalpies with density functional theory and coupled-cluster reference values.
Measured mean deviation in reaction enthalpies.
PFP shows a mean deviation of 1.8 kcal/mol for reaction enthalpies.
Notable outliers were found for reactions involving CO formation.

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Assesses neural network potential accuracy for reaction thermodynamics in carbohydrate decomposition, suggesting improved computational efficiency.

Fujinami et al. (2026) studied this question.

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Assesses neural network potential accuracy for reaction thermodynamics in carbohydrate decomposition, suggesting improved computational efficiency.