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Incorporation of Internal Coordinates Interpolation into the Freezing String Method
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Incorporation of Internal Coordinates Interpolation into the Freezing String Method

Jonah Marks and Joseph Gomes
arXiv.org
Cornell University
07/13/2024
DOI: 10.48550/arxiv.2407.09763
url
https://doi.org/10.48550/arxiv.2407.09763View
Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

We present an improved method for determining guess structures for transition state searches by incorporating internal coordinates interpolation into the freezing string method (FSM). We test our method on over 40 reactions across 3 benchmark datasets covering a diverse set of chemical reactions. Our results show that incorporation of internal coordinates interpolation improves the computational efficiency of the FSM by enabling the use of larger interpolation step sizes and fewer optimization steps per cycle while maintaining 100% success rate on benchmark chemical reaction test cases including systems where previous attempts based on linear synchronous transit interpolation have failed. We provide an open-source Python implementation of the FSM, in addition to the reactant, product, transition state structures of all reactions studied.
Physics - Chemical Physics

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