Exhaustive state-to-state cross sections for reactive molecular collisions from importance sampling simulation and a neural network representation-Reference-Cited by-同舟云学术

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Exhaustive state-to-state cross sections for reactive molecular collisions from importance sampling simulation and a neural network representation

Published:2019-06-07 Issue:21 Volume:150 Page:211101
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Koner Debasish¹^ORCID,Unke Oliver T.¹^ORCID,Boe Kyle²^ORCID,Bemish Raymond J.³^ORCID,Meuwly Markus¹^ORCID

Affiliation:

1. Department of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland

2. Boston College, Institute for Scientific Research, Chestnut Hill, Massachusetts 02467, USA

3. Air Force Research Laboratory, Space Vehicles Directorate, Kirtland AFB, Albuquerque, New Mexico 87117, USA

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://aip.scitation.org/doi/pdf/10.1063/1.5097385

Reference19 articles.

1. The HITRAN 2004 molecular spectroscopic database

2. Spectrum of hot methane in astronomical objects using a comprehensive computed line list

3. Atomic and molecular data for spacecraft re-entry plasmas

4. Reactive collisions for NO(2Π) + N(4S) at temperatures relevant to the hypersonic flight regime

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