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Quasi-classical trajectory analysis with isometric feature mapping and locally linear embedding: deep insights into the multi-channel reaction on an NH3+(4A) potential energy surface

Abstract

From the perspective of data analysis, finding and determining reaction paths from the quasi-classical trajectories of a polyatomic reaction system is equivalent to finding a low-dimensional manifold embedded in a high-dimensional space. Two manifold learning methods, isometric feature mapping and locally linear embedding, are applied to the analysis of reaction trajectories, which are calculated by the quasi-classical trajectory approach on a new developed accurate quartet state NH3+(4A) potential energy surface for a multi-channel reaction NH+ + H2 → N + H3+ / NH2+ + H. The results show that isometric feature mapping can clearly identify different reaction paths from the reactive trajectories, and locally linear embedding is better for the classification of non-reactive trajectories, and both of them facilitate quantitative analysis. With the help of trajectory analysis, the competition between the two H-atom abstraction reactions can be attributed to two different capture paths.

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Supplementary files

Article information


Submitted
10 Apr 2020
Accepted
23 Jun 2020
First published
29 Jun 2020

Phys. Chem. Chem. Phys., 2020, Accepted Manuscript
Article type
Paper

Quasi-classical trajectory analysis with isometric feature mapping and locally linear embedding: deep insights into the multi-channel reaction on an NH3+(4A) potential energy surface

W. Shi, T. Jia and A. Li, Phys. Chem. Chem. Phys., 2020, Accepted Manuscript , DOI: 10.1039/D0CP01941K

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