Reactive Resonances in the Cl + CHD3( v CH = 1) → HCl + CD3 Reaction

Abstract The stretch excited Cl + CHD3(vCH = 1) → HCl + CD3 reaction is experimentally known to involve resonances supported by a significant chemical bond-softening vibrational adiabatic potential well located at the transition state; however, theoretical differential cross sections (DCSs) that can be directly compared with experiments, as well as a detailed theoretical analysis of the resonances, remain lacking. In this Letter, we report the first seven-dimensional state-to-state quantum DCS for this reaction at collision energies up to 0.1 eV on a highly accurate fundamental invariant neural network potential energy surface. The product vibrational and rotational state distributions, as well as the angular distributions, yield qualitative agreement with available experimental results. For the HCl(v1 = 0) + CD3(v2 = 0–4) channels, we observed two distinctive peaks at Ec = 0.004 and 0.056 eV in the backward-scattering DCS, originating from Feshbach resonances via vibrationally nonadiabatic decay. The predominantly forward-scattered HCl(v1 = 1) + CD3(v2 = 0) products are attributed to shape resonances of the Cl···H···CD3 complex, which exhibit an intricate nodal structure in the scattering wave function due to the heavy–light–heavy character of the system.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry Letters
Published
2026-10-15
DOI
https://doi.org/10.1021/acs.jpclett.6c02913
Primary Topic
Advanced Chemical Physics Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reactive Resonances in the Cl + CHD3( v CH = 1) → HCl + CD3 Reaction

Dong Hui Zhang, Zhaojun Zhang, Shu Liu, Jiaxuan Wang
The Journal of Physical Chemistry Letters
Advanced Chemical Physics Studies
article

Reactive Resonances in the Cl + CHD3( v CH = 1) → HCl + CD3 Reaction

Dong Hui Zhang, Zhaojun Zhang, Shu Liu, Jiaxuan Wang
article en

Abstract

Abstract The stretch excited Cl + CHD3(vCH = 1) → HCl + CD3 reaction is experimentally known to involve resonances supported by a significant chemical bond-softening vibrational adiabatic potential well located at the transition state; however, theoretical differential cross sections (DCSs) that can be directly compared with experiments, as well as a detailed theoretical analysis of the resonances, remain lacking. In this Letter, we report the first seven-dimensional state-to-state quantum DCS for this reaction at collision energies up to 0.1 eV on a highly accurate fundamental invariant neural network potential energy surface. The product vibrational and rotational state distributions, as well as the angular distributions, yield qualitative agreement with available experimental results. For the HCl(v1 = 0) + CD3(v2 = 0–4) channels, we observed two distinctive peaks at Ec = 0.004 and 0.056 eV in the backward-scattering DCS, originating from Feshbach resonances via vibrationally nonadiabatic decay. The predominantly forward-scattered HCl(v1 = 1) + CD3(v2 = 0) products are attributed to shape resonances of the Cl···H···CD3 complex, which exhibit an intricate nodal structure in the scattering wave function due to the heavy–light–heavy character of the system.

The Journal of Physical Chemistry Letters
Dalian Institute of Chemical Physics (CN), Chinese Academy of Sciences (CN), Dalian University of Technology (CN), University of Chinese Academy of Sciences (CN)
Chinese Academy of Sciences, National Science and Technology Major Project
Openalex Percentile: Top 20%
Advanced Chemical Physics Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.