[PRE REVIEW]: pyforce: Python Framework for data-driven model Order Reduction of multi-physiCs problEms

[editorialbot]

Submitting author: !--author-handle-->@Steriva<!--end-author-handle-- (Stefano Riva) Repository: https://github.com/ERMETE-Lab/ROSE-pyforce Branch with paper.md (empty if default branch): Version: v0.1.2 Editor: !--editor-->@Fei-Tao<!--end-editor-- Reviewers: @ShimingYIN, @damar-wicaksono, @alberto743 Managing EiC: Daniel S. Katz

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Author instructions

Thanks for submitting your paper to JOSS @Steriva. Currently, there isn't a JOSS editor assigned to your paper.

@Steriva if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

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[editorialbot]

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[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.1063/1.168744 is OK
- 10.5281/zenodo.10447666 is OK
- 10.1016/j.cma.2015.01.018 is OK
- 10.1002/nme.4747 is OK
- 10.1016/j.anucene.2022.109538 is OK

MISSING DOIs

- No DOI given, and none found for title: Multi-Physics Model Bias Correction with Data-Driv...
- No DOI given, and none found for title: Reduced Basis Methods for Partial Differential Equ...
- No DOI given, and none found for title: A complete data-driven framework for the efficient...

INVALID DOIs

- https://doi.org/10.1016/j.nucengdes.2024.113105 is INVALID because of 'https://doi.org/' prefix
- https://doi.org/10.1016/j.cma.2022.115773 is INVALID because of 'https://doi.org/' prefix

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.12 s (616.0 files/s, 179450.0 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          29           1335           2238           2938
Jupyter Notebook                17              0           9305           2921
SVG                              1              0              0            708
TeX                              2             41              0            376
Markdown                         4             85              0            272
GLSL                             3             34             73            129
reStructuredText                10             86            166            104
YAML                             3             11             12             80
DOS Batch                        1              8              1             26
make                             1              4              7              9
Bourne Shell                     1              0              1              5
-------------------------------------------------------------------------------
SUM:                            72           1604          11803           7568
-------------------------------------------------------------------------------

Commit count by author:

    35  Stefano Riva
    35  Steriva
     5  Neko-tan

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 543

🔴 Failed to discover a Statement of need section in paper

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[danielskatz]

👋 @Steriva - thanks for your submission.

Please add a statement of need section to your paper, as in our example paper.

In addition, please fix the invalid DOIs that editorialbot found. Please feel free to make changes to your .bib file, then use the command @editorialbot check references to check again, and the command @editorialbot generate pdf after making changes to the .md file or when the references are right to make a new PDF. editorialbot commands need to be the first entry in a new comment.

[danielskatz]

Please also add countries to all affiliations.

[Steriva]

Hello there @danielskatz 👋🏻 Sorry for the missing parts. We have updated the paper!

[Steriva]

@editorialbot check references

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.1016/j.nucengdes.2024.113105 is OK
- 10.1063/1.168744 is OK
- 10.48550/arXiv.2401.07300 is OK
- 10.5281/zenodo.10447666 is OK
- 10.1515/9783110671490 is OK
- 10.48550/arXiv.1905.05982 is OK
- 10.1016/j.cma.2015.01.018 is OK
- 10.1016/j.cma.2022.115773 is OK
- 10.1002/nme.4747 is OK
- 10.1016/j.anucene.2022.109538 is OK

MISSING DOIs

- None

INVALID DOIs

- None

[Steriva]

@editorialbot generate pdf

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[Steriva]

@editorialbot generate preprint

[editorialbot]

:page_facing_up: Preprint file created: Find it here in the Artifacts list :page_facing_up:

[danielskatz]

@Steriva - thanks for the updates. We realize that this ended up in the wrong track, and have now moved it. The PE track chair will take over from here.

[kyleniemeyer]

@Steriva unfortunately, we do not have any available editors in this area, so I have to place this on your waitlist. We will move forward with finding reviewers once an editor frees up to handle this.

[Fei-Tao]

Hi @kyleniemeyer and @danielskatz, I have done reduced-order modeling and am interested in editing this submission. Can you assign me as editor for this submission?

[kyleniemeyer]

@editorialbot assign @Fei-Tao as editor

Thanks!

[editorialbot]

Assigned! @Fei-Tao is now the editor

[Fei-Tao]

@kyleniemeyer Thanks for getting back to me quickly. I will start to look for reviewers now.

[Fei-Tao]

@editorialbot add @ShimingYIN as reviewer

[editorialbot]

@ShimingYIN added to the reviewers list!

[Fei-Tao]

👋🏻 Hi, @alberto743, @jpmorgan98, @gtheler, @damar-wicaksono, @gwenchee, @mbudisic, this submission might interest you. If you'd like to review this submission, please comment here! Feel free to unsubscribe from this issue if you are not interested. Thank you for your time!

[alberto743]

@Fei-Tao, I am interested in this review, but I will not be available before July 10th. If the timing works for you, let me know.

[Fei-Tao]

Hi @alberto743, thanks for your prompt response. Your review timing after July 10th works for us. I am happy to add you to our reviewer list. Please confirm if this works for you.

[damar-wicaksono]

Hi @Fei-Tao 👋

In case you still need another reviewer, I'm interested and would be happy to be one.

[alberto743]

Hi @alberto743, thanks for your prompt response. Your review timing after July 10th works for us. I am happy to add you to our reviewer list. Please confirm if this works for you.

Ok, fine for me.

[Fei-Tao]

Hi @damar-wicaksono, and @alberto743, thanks for your prompt response and willingness to review this submission. I can add both of you to this submission.

[Fei-Tao]

@editorialbot add @damar-wicaksono as reviewer

[editorialbot]

@damar-wicaksono added to the reviewers list!

[Fei-Tao]

@editorialbot add @alberto743 as reviewer

[editorialbot]

@alberto743 added to the reviewers list!

[Fei-Tao]

@editorialbot start review

[editorialbot]

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/6950.

[Fei-Tao]

Thanks everyone! Looking forward to your reviews at https://github.com/openjournals/joss-reviews/issues/6950.