[PRE REVIEW]: AutoPDEx: An Automized Partial Differential Equation solver based on JAX

[editorialbot]

Submitting author: @BodeTobias (Tobias Bode)
Repository: https://github.com/BodeTobias/AutoPDEx
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: @danielskatz
Reviewers: @celliern, @basileMarchand
Managing EiC: Daniel S. Katz

Status

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Markdown: [![status](https://joss.theoj.org/papers/d89578e18c80a90afeb1093fa1e25545/status.svg)](https://joss.theoj.org/papers/d89578e18c80a90afeb1093fa1e25545)

Author instructions

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

@BodeTobias 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]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.33 s (1382.6 files/s, 246513.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
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HTML                           193           5424            579          47362
Python                          45           2249           4040          13264
SVG                              5              0              0           2698
CSS                             12            307             92           1793
JavaScript                      18            185            283           1203
reStructuredText               178            610            833            546
Jupyter Notebook                 1              0            454            100
YAML                             3             14             10             80
TeX                              1              9              0             79
TOML                             1              6              0             46
Markdown                         3             18              0             35
DOS Batch                        1              8              1             26
make                             1              4              7              9
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SUM:                           462           8834           6299          67241
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Commit count by author:

    22	BodeTobias

[editorialbot]

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

✅ OK DOIs

- None

🟡 SKIP DOIs

- No DOI given, and none found for title: JAX: composable transformations of Python+NumPy pr...
- No DOI given, and none found for title: Efficient and modular implicit differentiation
- No DOI given, and none found for title: Flax: A neural network library and ecosystem for J...
- No DOI given, and none found for title: Equinox: neural networks in JAX via callable PyTre...
- No DOI given, and none found for title: PETSc users manual
- No DOI given, and none found for title: Gmsh: A 3-D finite element mesh generator with bui...
- No DOI given, and none found for title: 36-paraview: An end-user tool for large-data visua...
- No DOI given, and none found for title: Automation of Finite Element Methods

❌ MISSING DOIs

- 10.1016/s0167-739x(03)00188-2 may be a valid DOI for title: Solving unsymmetric sparse systems of linear equat...
- 10.21105/joss.01450 may be a valid DOI for title: PyVista: 3D plotting and mesh analysis through a s...

❌ INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 451

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: GNU Affero General Public License v3.0 (Check here for OSI approval)

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

Five most similar historical JOSS papers:

scikit-finite-diff, a new tool for PDE solving
Submitting author: @celliern
Handling editor: @Kevin-Mattheus-Moerman (Active)
Reviewers: @mrava87, @poulson
Similarity score: 0.7185

py-pde: A Python package for solving partial differential equations
Submitting author: @david-zwicker
Handling editor: @xuanxu (Active)
Reviewers: @celliern, @mstimberg
Similarity score: 0.7157

SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms
Submitting author: @jeremiecoullon
Handling editor: @dfm (Active)
Reviewers: @canyon289, @ColCarroll
Similarity score: 0.7081

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Submitting author: @stammler
Handling editor: @taless474 (Retired)
Reviewers: @schruste, @lucaferranti
Similarity score: 0.7067

PyGDH: Python Grid Discretization Helper
Submitting author: @kfhiga
Handling editor: @melissawm (Retired)
Reviewers: @JamieJQuinn, @zhaowei0566
Similarity score: 0.7047

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[danielskatz]

👋 @BodeTobias - Thanks for your submission. I will assign myself to be the editor.

Please suggest ~5 potential reviewers. You can search the list of people that have already agreed to review and may be suitable for this submission. Or people who aren't in the JOSS system would also be ok. If you know their GitHub usernames, then please mention them here in this thread (without tagging them with an @).

[danielskatz]

@editorialbot assign me as editor

[editorialbot]

Assigned! @danielskatz is now the editor

[BodeTobias]

Dear @danielskatz,
thank you for being the editor for my submission! I think the authors and reviewers of the first two similar JOSS papers could be a good fit. The first two of the following list I also found in the list of reviewers:

mrava87
celliern
poulson
dawid-zwicker
mstimberg

[danielskatz]

👋 @celliern, @mrava87, @poulson, @david-zwicker, @mrava87 - Would a couple of you be willing to review this JOSS submission?

[david-zwicker]

I'm extremely busy in October, but I could do a review in November if that's not too late.

[danielskatz]

@david-zwicker - thanks - let me see what other responses I get

[danielskatz]

👋 @Sm00thix, @parmentelat, @basileMarchand - Would any of you be willing to review this JOSS submission?

[danielskatz]

👋 @jeremiecoullon, @canyon289, @ColCarroll - Would any of you be willing to review this JOSS submission?

[celliern]

Hello! I'm not working on pde since a while, so it may be better if other deal with the review. But if there is no other reviewer I could do it.

[mrava87]

Hello! Although the topic is very interesting, I am not currently able to accept the invite due to high workload.

[jeremiecoullon]

Hello! I don't know a lot about PDE solvers, and I have a high workflow at the moment so I can't help with this unfortunately. :(

[Sm00thix]

Hi! Thanks for considering me. Unfortunately, I have a high workload for the rest of the year so I will have to decline.

[danielskatz]

@celliern - I'm going to go ahead and add you, while I continue to look for another review. Thanks for "volunteering"...

[danielskatz]

@editorialbot add @celliern as reviewer

[editorialbot]

@celliern added to the reviewers list!

[basileMarchand]

Hello, @danielskatz I'm interested in the topic. I'm up for taking part in the review.

[danielskatz]

Thanks @basileMarchand - I'll add you in the system, but keep waiting a little to start the review, as I would like to get three reviewers if I can

[danielskatz]

@editorialbot add @basileMarchand as reviewer

[editorialbot]

@basileMarchand added to the reviewers list!

[parmentelat]

hello @danielskatz
thanks for the invitation, but I have very little to do with pde's so this is definitely very far from my comfort area, and I will have to decline, but thanks again

[celliern]

@celliern - I'm going to go ahead and add you, while I continue to look for another review. Thanks for "volunteering"...

it's ok, my pde times are not that far away, and I can spare some evening doing the review :)

[danielskatz]

Thanks - with @celliern's nice comment, I'm going to go ahead and start the review now

[danielskatz]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #7300.