Abstract

We propose an algorithm that is a combination of systematic variation of the torsions and Monte Carlo (or stochastic) search. It starts with a trial geometry in internal coordinates and with a set of preconditioned torsional angles, i.e., torsional angles at which minima are expected according to the chemical knowledge. Firstly, the optimization of those preconditioned geometries is carried out at a low electronic structure level, generating an initial set of conformers. Secondly, random points in the torsional space are generated outside the “area of influence” of the previously optimized minima (i.e., outside a hypercube about each minima). These random points are used to build the trial structure, which is optimized by an electronic structure software. The optimized structure may correspond to a new conformer (which would be stored) or to an already existing one. Initial torsional angles (and also final ones if a new conformer is found) are stored to prevent visiting the same region of the torsional space twice. The stochastic search can be repeated as many times as desired. Finally, the low-level geometries are recovered and used as the starting point for the high-level optimizations. The algorithm has been employed in the calculation of multi-structural quasi harmonic and multi-structural torsional anharmonic partition functions for a series of alcohols ranging from n-propanol to n-heptanol. It was also tested for the amino acid L-serine.

Highlights

  • Flexible molecules have many conformational minima which can be reached by torsional motions of the molecular framework in the potential energy surface (PES)

  • It seeks for all conformers, because they are required for the calculation of partition functions at high temperatures and for the evaluation of torsional anharmonicity

  • For the calculation of the partition functions, the frequencies were scaled by the recommended factor λZPE = 0.951 (Alecu et al, 2010)

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Summary

INTRODUCTION

Flexible molecules have many conformational minima which can be reached by torsional motions of the molecular framework in the potential energy surface (PES). It is possible to calculate accurate rovibrational partition functions in a wide range of temperatures In this sense, the algorithm is not limited to the search of the most stable equilibrium structures, O’Boyle et al (2011) which are the only ones that are relevant at low temperatures. The algorithm is not limited to the search of the most stable equilibrium structures, O’Boyle et al (2011) which are the only ones that are relevant at low temperatures It seeks for all conformers, because they are required for the calculation of partition functions at high temperatures and for the evaluation of torsional anharmonicity. The series of alcohols ranging from n-propanol to n-heptanol and the amino acid L-serine have been selected to test the algorithm

DESCRIPTION OF THE ALGORITHM
The Tests
Systematic Search
Stochastic Search
Electronic Structure Calculations
MULTI-STRUCTURAL PARTITION FUNCTIONS
RESULTS AND DISCUSSION
Efficiency of the Algorithm
Benchmarking
Multiple Wells and Torsional Anharmonicity
CONCLUSIONS
DATA AVAILABILITY STATEMENT

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