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Using Diffusion Maps to Analyze Reaction Dynamics for a Hydrogen Combustion Benchmark Dataset

[Image: see text] We use local diffusion maps to assess the quality of two types of collective variables (CVs) for a recently published hydrogen combustion benchmark dataset(1) that contains ab initio molecular dynamics (MD) trajectories and normal modes along minimum energy paths. This approach was...

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Detalles Bibliográficos
Autores principales: Ko, Taehee, Heindel, Joseph P., Guan, Xingyi, Head-Gordon, Teresa, Williams-Young, David B., Yang, Chao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500976/
https://www.ncbi.nlm.nih.gov/pubmed/37585272
http://dx.doi.org/10.1021/acs.jctc.3c00426
Descripción
Sumario:[Image: see text] We use local diffusion maps to assess the quality of two types of collective variables (CVs) for a recently published hydrogen combustion benchmark dataset(1) that contains ab initio molecular dynamics (MD) trajectories and normal modes along minimum energy paths. This approach was recently advocated in(2) for assessing CVs and analyzing reactions modeled by classical MD simulations. We report the effectiveness of this approach to molecular systems modeled by quantum ab initio MD. In addition to assessing the quality of CVs, we also use global diffusion maps to perform committor analysis as proposed in.(2) We show that the committor function obtained from the global diffusion map allows us to identify transition regions of interest in several hydrogen combustion reaction channels.