Articles | Volume 16, issue 7
https://doi.org/10.5194/gmd-16-2037-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.Accelerating models for multiphase chemical kinetics through machine learning with polynomial chaos expansion and neural networks
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- Final revised paper (published on 14 Apr 2023)
- Supplement to the final revised paper
- Preprint (discussion started on 20 Oct 2022)
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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RC1: 'Comment on egusphere-2022-1093', Anonymous Referee #1, 04 Jan 2023
- AC1: 'Response to reviewers of egusphere-2022-1093', Thomas Berkemeier, 15 Feb 2023
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RC2: 'Comment on egusphere-2022-1093', Anonymous Referee #2, 19 Jan 2023
- AC1: 'Response to reviewers of egusphere-2022-1093', Thomas Berkemeier, 15 Feb 2023
- AC1: 'Response to reviewers of egusphere-2022-1093', Thomas Berkemeier, 15 Feb 2023
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Thomas Berkemeier on behalf of the Authors (15 Feb 2023)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (04 Mar 2023) by Po-Lun Ma
RR by Anonymous Referee #1 (04 Mar 2023)
ED: Publish as is (20 Mar 2023) by Po-Lun Ma
AR by Thomas Berkemeier on behalf of the Authors (20 Mar 2023)