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[PRE REVIEW]: GridapSolvers.jl: Scalable multiphysics finite element solvers in Julia #7126
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Five most similar historical JOSS papers: Gridap: An extensible Finite Element toolbox in Julia PyAMG: Algebraic Multigrid Solvers in Python Krylov.jl: A Julia basket of hand-picked Krylov methods BasicTools: a numerical simulation toolbox PDENLPModels.jl: An NLPModel API for Optimization Problems with PDE-Constraints |
👋 @JordiManyer - thanks for your submission. As the track editor, I'll work on finding an editor. On your side:
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👋 @diehlpk - would you be willing to edit this submission? |
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Hi @danielskatz, thank you for your time. I will look into your comments and let you know if I have any doubts. |
@danielskatz A first comment: I believe a lot of words are tied to the example. I believe the actual paper is around 1000/1200 words (which is what I thought you guys would be counting). Could I remove the embedded script and point to a file in the repo? I also think it would help readability, but was under the impression that a demo code within the paper was compulsory. |
The review criteria (https://joss.readthedocs.io/en/latest/review_criteria.html) and review checklist (https://joss.readthedocs.io/en/latest/review_checklist.html) do not require or suggest an example in the paper, so moving the example to the repo/docs would be fine. |
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I think the DOIs missing at this point are just websites and misc references. |
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Five most similar historical JOSS papers: Gridap: An extensible Finite Element toolbox in Julia PyAMG: Algebraic Multigrid Solvers in Python Krylov.jl: A Julia basket of hand-picked Krylov methods PyAMG: Algebraic Multigrid Solvers in Python BasicTools: a numerical simulation toolbox |
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Software report:
Commit count by author:
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Paper file info: 📄 Wordcount for 🔴 Failed to discover a |
License info: ✅ License found: |
@editorialbot generate pdf |
Five most similar historical JOSS papers: Gridap: An extensible Finite Element toolbox in Julia PyAMG: Algebraic Multigrid Solvers in Python Krylov.jl: A Julia basket of hand-picked Krylov methods PyAMG: Algebraic Multigrid Solvers in Python BasicTools: a numerical simulation toolbox |
@danielskatz I've applied a first round of edits. Fixed all the doi-related stuff. We are down to 1500 words, and I don't think there is anything superfluous to remove. I'll be happy to shorten it if the reviewers deem it necessary. @diehlpk On the topic of reviewers : Since this paper is a natural extension of GridapDistributed.jl, we could probably consider the same list that was considered back then. Namely,
but we would be happy with any other reviewer you consider relevant. |
@editorialbot add @diehlpk as editor |
Assigned! @diehlpk is now the editor |
Hi @PetrKryslUCSD do you have time to review this paper? |
Hi @likask do you have time to review this paper? |
Hi @Leticia-maria do you have time to review this paper? |
Yes! I can review it by the end of next week. |
Yes. |
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@PetrKryslUCSD added to the reviewers list! |
@editorialbot add @Leticia-maria as reviewer |
@Leticia-maria added to the reviewers list! |
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OK, I've started the review over in #7162. |
Submitting author: @JordiManyer (Jordi Manyer)
Repository: https://github.com/gridap/GridapSolvers.jl
Branch with paper.md (empty if default branch): joss-paper
Version: v0.4.0
Editor: @diehlpk
Reviewers: @PetrKryslUCSD, @Leticia-maria
Managing EiC: Daniel S. Katz
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