Variational approaches for the calculation of vibrational wave functions and energies are a natural route to obtain highly accurate results with controllable errors. Here, we demonstrate how the density matrix renormalization group (DMRG) can be exploited to optimize vibrational wave functions (vDMRG) expressed as matrix product states. We study the convergence of these calculations with respect to the size of the local basis of each mode, the number of renormalized block states, and the number of DMRG sweeps required. We demonstrate the high accuracy achieved by vDMRG for small molecules that were intensively studied in the literature. We then proceed to show that the complete fingerprint region of the sarcosyn-glycin dipeptide can be calculated with vDMRG.

Vibrational Density Matrix Renormalization Group

Baiardi, Alberto;Barone, Vincenzo;
2017

Abstract

Variational approaches for the calculation of vibrational wave functions and energies are a natural route to obtain highly accurate results with controllable errors. Here, we demonstrate how the density matrix renormalization group (DMRG) can be exploited to optimize vibrational wave functions (vDMRG) expressed as matrix product states. We study the convergence of these calculations with respect to the size of the local basis of each mode, the number of renormalized block states, and the number of DMRG sweeps required. We demonstrate the high accuracy achieved by vDMRG for small molecules that were intensively studied in the literature. We then proceed to show that the complete fingerprint region of the sarcosyn-glycin dipeptide can be calculated with vDMRG.
2017
Acetonitriles; Algorithms; Chlorides; Computer Simulation; Dipeptides; Electrons; Ethylenes; Glycine; Models, Molecular; Quantum Theory; Sarcosine; Thermodynamics; Computer Science Applications1707 Computer Vision and Pattern Recognition; Physical and Theoretical Chemistry
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11384/75948
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