Dissociative electron attachment to NO probed by velocity map imaging

Literature Information

Publication Date 2010-12-06
DOI 10.1039/C0CP01067G
Impact Factor 3.676
Authors

Dhananjay Nandi, Vaibhav S. Prabhudesai, B. M. Nestmann, E. Krishnakumar


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Abstract

An experimental and theoretical investigation of the dissociative electron attachment process in nitric oxide is presented. Measurements using the recently developed ion momentum imaging conclusively show the presence of two resonance features in the O−channel. These are found to dissociate to give N atoms in the 2D and 2P excited states respectively, thus settling the controversies regarding the possible dissociation limits of this process. Though the angular distribution of O− shows the resonances contributing to these dissociations are of Π symmetry and a mixture of Π and Σ or Δ symmetry respectively, our calculations using R-matrix theory show no direct electron attachment channel leading to O− through these resonances, as all the allowed resonances below 10 eV decay to either O + N− or O− + N(4S) channels. We propose that indirect mechanisms through curve crossings lead to the experimentally observed results.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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