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Because noise is typically a component of these energies, deriving accurate numerical derivatives is frequently problematic. To evade this predicament, Gaussian process regression is used to model energy, and analytical derivatives are applied to determine the specific heat capacity. Beginning from there, the entropy is determined via numerical integration. We evaluate our results in various molecules, where exact diagonalization of Hamiltonians is attainab
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