Issue 88, 2021

A combined DFTB nanoreactor and reaction network generator approach for the mechanism of hydrocarbon combustion

Abstract

We explored the mechanism of ethylene combustion by combining a density functional tight-binding based nanoreactor molecular dynamic method (DFTB-NMD) and a hidden Markov model (HMM) based reaction network generator approach. The results demonstrate that the DFTB-NMD is a promising method to predict the mechanism of complicated combustion reactions.

Graphical abstract: A combined DFTB nanoreactor and reaction network generator approach for the mechanism of hydrocarbon combustion

Supplementary files

Article information

Article type
Communication
Submitted
25 Aug 2021
Accepted
13 Oct 2021
First published
13 Oct 2021

Chem. Commun., 2021,57, 11633-11636

A combined DFTB nanoreactor and reaction network generator approach for the mechanism of hydrocarbon combustion

J. Bai, X. Liu, T. Lei, B. Teng and X. Wen, Chem. Commun., 2021, 57, 11633 DOI: 10.1039/D1CC04736A

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements