Free-energy perturbation in the exchange-correlation space accelerated by machine learning: application to silica polymorphs
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We propose a free-energy-perturbation approach accelerated by machine-learning potentials to efficiently compute transition temperatures and entropies for all rungs of Jacob's ladder. We apply the approach to the dynamically stabilized phases of SiO2, which a... ...
