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On the Choice of Method for Solution of the Vibrational Schrödinger Equation in Hybrid Statistical Physics - Quantum Mechanical Modeling of Molecular Solvation

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ICT Innovations 2013 (ICT Innovations 2013)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 231))

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Abstract

Several numerical methods for solution of vibrational Schrödinger equation in the course of hybrid statistical physics – quantum mechanical modeling of molecular solvation phenomena were applied, tested, and compared. The mentioned numerical methods were applied to compute the anharmonic OH stretching vibrational frequencies of the free and solvated hydroxide anion in diluted water solutions on the basis of one-dimensional vibrational potential energies computed at various levels of theory, including density functional theory based methodologies, as well as methods based on many-body perturbation theory. The tested methods included: i) simple Hamiltonian matrix diagonalization technique, based on representation of the vibrational potential in Simons-Parr-Finlan (SPF) coordinates, ii) Numerov algorithm and iii) Fourier grid Hamiltonian method (FGH). Considering the Numerov algorithm as a reference method, the diagonalization technique performs remarkably well in a very wide range of frequencies and frequency shifts. FGH method, on the other hand, though showing a very good performance as well, exhibits more significant (and non-uniform) discrepancies with the Numerov algorithm, even for rather modest frequency shifts. Particular aspects related to HPC-implementation of the numerical algorithms for the applied methodologies were addressed.

This paper is based on the work done in the framework of the HP-SEE FP7 EC funded project.

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Correspondence to Bojana Koteska .

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Koteska, B., Sahpaski, D., Mishev, A., Pejov, L. (2014). On the Choice of Method for Solution of the Vibrational Schrödinger Equation in Hybrid Statistical Physics - Quantum Mechanical Modeling of Molecular Solvation. In: Trajkovik, V., Anastas, M. (eds) ICT Innovations 2013. ICT Innovations 2013. Advances in Intelligent Systems and Computing, vol 231. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-01466-1_18

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  • DOI: https://doi.org/10.1007/978-3-319-01466-1_18

  • Publisher Name: Springer, Heidelberg

  • Print ISBN: 978-3-319-01465-4

  • Online ISBN: 978-3-319-01466-1

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