Augmenting zero-Kelvin quantum mechanics with machine learning for the prediction of chemical reactions at high temperatures.

Including phonon calculations improved the DFT predictions across the board, but the relative error reduction is barely significant except for the compounds MgO, CaO, SiO 2 , and TiO 2 .

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