Construction of Potential Energy Surfaces for Reactions With Post‐Transition State Bifurcations Using Principal Component Analysis

Constructing low-dimensional potential energy surfaces (PESs) for complex reactions remains challenging, particularly for systems exhibiting post-transition state bifurcations (PTSBs) where traditional measures of reaction coordinates are often inadequate. We introduce a principal component analysis (PCA)-assisted method for constructing two-dimensional PESs that avoids reliance on predefined coordinates or intrinsic reaction paths. In this method, PCA is applied to collections of key geometries to identify dominant structural variations from multiple internal coordinates. The resulting principal components are then used to drive relaxed surface scans. Projection of ab initio molecular dynamics (AIMD) trajectories onto these PESs helps users connect PES shape and dynamical behavior.

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Publication Details

Journal
Journal of Computational Chemistry
Published
2026-02-15
DOI
https://doi.org/10.1002/jcc.70329
Primary Topic
Synthesis and Properties of Aromatic Compounds
Type
article
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article

Construction of Potential Energy Surfaces for Reactions With Post‐Transition State Bifurcations Using Principal Component Analysis

Yumeng Cao, Dean J. Tantillo, Wang‐Yeuk Kong
Journal of Computational Chemistry
Synthesis and Properties of Aromatic Compounds
article

Construction of Potential Energy Surfaces for Reactions With Post‐Transition State Bifurcations Using Principal Component Analysis

Yumeng Cao, Dean J. Tantillo, Wang‐Yeuk Kong
article en

Abstract

Constructing low-dimensional potential energy surfaces (PESs) for complex reactions remains challenging, particularly for systems exhibiting post-transition state bifurcations (PTSBs) where traditional measures of reaction coordinates are often inadequate. We introduce a principal component analysis (PCA)-assisted method for constructing two-dimensional PESs that avoids reliance on predefined coordinates or intrinsic reaction paths. In this method, PCA is applied to collections of key geometries to identify dominant structural variations from multiple internal coordinates. The resulting principal components are then used to drive relaxed surface scans. Projection of ab initio molecular dynamics (AIMD) trajectories onto these PESs helps users connect PES shape and dynamical behavior.

Journal of Computational ChemistryVol. 47(5)
University of California, Davis (US)
Affordable and clean energy
Openalex Percentile: Top 52%
Synthesis and Properties of Aromatic Compounds
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