converting Hessian matrices to thermo data
Project description
Thermochemistry Library
This library converts a cartesian hessian of nuclear second derivatives into vibrational and thermodynamic quantities, following similar framework used in Gaussian and GoodVibes, but in a modular and Python-native implementation.
Minimum Inputs
• Cartesian Hessian Matrix
• Atomic Masses
• Cartesian Coordinates
• Temperature (K)
Example Outputs
• Vibrational Frequencies
• Normal Modes
• Cartesian Coordinates
• Rotational Constants
• Center of Mass
• Entropy
• Enthalpy
• Gibbs Free Energy
Quasi-Harmonic Corrections
Akin to goodvibes, the Cramer & Truhlar and Grimme (RRHO) approximations were used.
Cramer & Truhlar:
mod_freqs = np.where(mod_freqs < self.qh_cutoff, self.qh_cutoff, mod_freqs)
(qh_cutoff = 100cm^-1)
Grimme:
w = 1.0 / (1.0 + (self.qh_cutoff / valid_freqs)**4)
Credits
This package was created with Cookiecutter and the jevandezande/uv-cookiecutter project template.
This library was in loose collabration with Rowansci
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