Closed whedon closed 3 years ago
Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @MasonProtter, @jagot it looks like you're currently assigned to review this paper :tada:.
:warning: JOSS reduced service mode :warning:
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
:star: Important :star:
If you haven't already, you should seriously consider unsubscribing from GitHub notifications for this (https://github.com/JuliaCon/proceedings-review) repository. As a reviewer, you're probably currently watching this repository which means for GitHub's default behaviour you will receive notifications (emails) for all reviews 😿
To fix this do the following two things:
For a list of things I can do to help you, just type:
@whedon commands
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
@whedon generate pdf
Failed to discover a Statement of need
section in paper
Software report (experimental):
github.com/AlDanial/cloc v 1.88 T=0.05 s (236.3 files/s, 62851.6 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
TeX 8 224 176 2445
Ruby 1 8 4 45
YAML 1 1 0 21
Markdown 1 0 0 2
-------------------------------------------------------------------------------
SUM: 11 233 180 2513
-------------------------------------------------------------------------------
Statistical information for the repository '8bb4722a9e18d3e1a79961c6' was
gathered on 2021/02/09.
The following historical commit information, by author, was found:
Author Commits Insertions Deletions % of changes
Michael F. Herbst 1 57 0 100.00
Below are the number of rows from each author that have survived and are still
intact in the current revision:
Author Rows Stability Age % in comments
Michael F. Herbst 57 100.0 0.0 7.02
Failed to discover a valid open source license.
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1039/d0fd00048e is OK
- 10.1088/1361-648x/abcbdb is OK
- 10.1038/natrevmats.2015.4 is OK
- 10.1038/ncomms11962 is OK
- 10.1021/jacs.7b02120 is OK
- 10.1038/nmat1752 is OK
- 10.1063/1.3148892 is OK
- 10.1021/acscentsci.8b00229 is OK
- 10.1063/1.5144261 is OK
- 10.1063/5.0005082 is OK
- 10.1103/PhysRevB.54.1703 is OK
- 10.1103/PhysRevLett.77.3865 is OK
- 10.1088/1361-648x/aa680e is OK
- 10.1016/j.commatsci.2012.10.028 is OK
MISSING DOIs
- None
INVALID DOIs
- None
@whedon re-invite @jagot as reviewer
The reviewer already has a pending invite.
@jagot please accept the invite by clicking this link: https://github.com/JuliaCon/proceedings-review/invitations
@whedon re-invite @MasonProtter as reviewer
@masonprotter already has access.
:wave: @jagot, please update us on how your review is going (this is an automated reminder).
:wave: @MasonProtter, please update us on how your review is going (this is an automated reminder).
@mfherbst I would rewrite
For tackling these aspects multidisciplinary collaboration is essen- tial with mathematicians developing more numerically stable al- gorithms, computer scientists providing high-performance imple- mentations, physicists and chemists designing appropriate models, and application scientists integrating the resulting methods inside a suitable simulation workflow.
as something like
To tackle these aspects, multidisciplinary collaboration with mathematicians developing more numerically stable algorithms, computer scientists providing high-performance implementations, physicists and chemists designing appropriate models, and application scientists integrating the resulting methods inside a suitable simulation workflow is essential.
Also, when I install according to the instructions and try the first tutorial, I get the following warning:
┌ Warning: Package DFTK does not have Plots in its dependencies:
│ - If you have DFTK checked out for development and have
│ added Plots as a dependency but haven't updated your primary
│ environment's manifest file, try `Pkg.resolve()`.
│ - Otherwise you may need to report an issue with DFTK
└ Loading Plots into DFTK from project dependency, future warnings for DFTK are suppressed.
@MasonProtter Until https://github.com/JuliaMolSim/DFTK.jl/issues/418 is fixed, you have to do a little bit of monkey patching to run the tutorial:
julia> function DFTK.pymatgen_lattice(lattice::AbstractArray)
# Notice: Pymatgen uses rows as lattice vectors, so we unpeel
# our lattice column by column. The default unit in pymatgen is Ångström
mg = pyimport("pymatgen.core.lattice")
bohr_to_A = 1 / austrip(1u"Å")
mg.Lattice([Array(bohr_to_A .* lattice[:, i]) for i in 1:3])
end
julia> function DFTK.pymatgen_structure(model_or_lattice, atoms)
mg = pyimport("pymatgen.core.structure")
pylattice = DFTK.pymatgen_lattice(model_or_lattice)
n_species = sum(length(pos) for (spec, pos) in atoms)
pyspecies = Vector{Int}(undef, n_species)
pypositions = Array{Vector{Float64}}(undef, n_species)
ispec = 1
for (spec, pos) in atoms
for coord in pos
pyspecies[ispec] = spec.Z
pypositions[ispec] = Vector{Float64}(coord)
ispec = ispec + 1
end
end
@assert ispec == n_species + 1
mg.Structure(pylattice, pyspecies, pypositions)
end
@jagot Thanks for the review ... and yes, sorry about the pymatgen issue. That's the second time such a breaking interface change has caused DFTK to stop working properly unfortunately. That's why long-term we definitely want to get rid of it.
Also, when I install according to the instructions and try the first tutorial, I get the following warning:
Thanks. That's because we load Plots using Requires
, so in some sense it is a "fake-warning". It seems to be fixed with https://github.com/JuliaMolSim/DFTK.jl/pull/419.
Both things should be fixed in the (latest) DFTK 0.2.7 by the way.
@MasonProtter Since you haven't commented yet, let me kindly ping you as a reminder :)
Hi, sorry about this. I will be able to review next week, I've been unexpectedly busy lately, but mid next week I should have time for this.
My apologies.
@whedon remind @MasonProtter in 2 weeks
Reminder set for @MasonProtter in 2 weeks
Okay, sorry for all the delays. I really enjoyed reading the paper and exploring the package. This is fantastic work with a slick, powerful user-experience, well written documentation and a ton of features.
A few comments:
When the checklist asks me if the software source code is available at the respository URL, it leads me to https://github.com/mfherbst/juliacon2020-proceedings-dftk rather than https://github.com/JuliaMolSim/DFTK.jl
I would echo @jagot in his suggestion for tweaking the paragraph starting with "For tacking these aspects [...]"
Other than these tiny issues, as someone who is familiar with Monte Carlo and DMRG methods, but not so familiar with DFT methods, I find myself wanting at least a couple sentences either in the documentation or (if possible) in the paper which gives me a bit more context how I should expect this general methodolgy to compare to different techniques. Are there any rough rules of thumb I can use for when I should expect DFT to give inaccurate results relative to 'reality'?
For instance, I have certainly heard in other places that DFT methods tend to not properly model exchange interactions. I see in the examples section discussion of magnetic systems. I'm curious how well do these calculations agree with experiments, monte carlo, or other benchmarks?
I don't need anything super in-depth to give my full approval, but I think it would help me in placing this work in the wider scientific context if there was more comparison to completely different methods, and discussion of potential pitfalls.
I should also say, if you know of a good reference which discusses the limitations and domains of applicability of these sorts of methods, and you feel that the comments in reference is straightforwardly applicable to your work, then that would also satisfy me!
For instance, I have certainly heard in other places that DFT methods tend to not properly model exchange interactions. I see in the examples section discussion of magnetic systems. I'm curious how well do these calculations agree with experiments, monte carlo, or other benchmarks?
Thanks for your review and for this guiding question. The problem with answering it, is that it's really tough to do that in just a couple of sentences and at the same time convey a fair picture. We decided to not go into this, simply because this is more of a software paper and not an application paper after all.
But I agree, that we don't really point to any literature answering this question either, which we should. I amended the paper appropriately and made a PR to the repo. @MasonProtter let me know if that is not sufficient from your point of view.
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
With respect to the repo url. I'm not sure there is much I can do, is there? I guess it's because I used a separate repo for the paper.
Yes, this is great.
One other tiny detail: I don't know what the convention is for the JuliaCon proceedings, but in the linked PDF proof, the references are not in the order in which they appear in the paper. I don't have a super strong opinion on it, but it's maybe worth tweaking.
I'm ready to sign off my approval though. :smiley:
@MasonProtter Thanks for your feedback :+1:.
the references are not in the order in which they appear in the paper.
I'm not a fan of this either, but it's the same in other JuliaCon papers, so I assume that is the style to be followed.
the references are not in the order in which they appear in the paper.
Just to clarify: this is the style of references that we currently use. cc: @vchuravy @matbesancon @crstnbr
@mfherbst Since both reviewers signed off their approval, we're almost done here! (Update: I just noted that @jagot hasn't actually communicated that he's done with his review. @jagot any further comments / criticism from your side?)
The only thing that seems a bit odd to me is that the first heading is "1. Acknowledgments". Can you try to add a heading at the beginning (before the main text), for example "1. Description" or similar, such that acknowledgments becomes the second heading.
(I see that this might push parts of the acknowledgments section to the second page. Perhaps we should move the entire section to the second page. But let's just see how it looks.)
I'm not sure it makes a lot of sense to add such a "fake heading". How about making the Acknowledgements a \section*
such that the 1.
is missing? Would that be ok with the Journal style?
Yes, that would work as well! But please also drop the "2." from "2. References". Thanks.
@crstnbr I'm happy 😊
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@crstnbr That seems to have worked: Acknowledgements and references without section numbers.
@whedon check references
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1039/d0fd00048e is OK
- 10.1088/1361-648x/abcbdb is OK
- 10.1038/natrevmats.2015.4 is OK
- 10.1038/ncomms11962 is OK
- 10.1021/jacs.7b02120 is OK
- 10.1038/nmat1752 is OK
- 10.1063/1.3148892 is OK
- 10.1021/acscentsci.8b00229 is OK
- 10.1063/1.5144261 is OK
- 10.1063/5.0005082 is OK
- 10.1103/PhysRevB.54.1703 is OK
- 10.1103/PhysRevLett.77.3865 is OK
- 10.1088/1361-648x/aa680e is OK
- 10.1016/j.commatsci.2012.10.028 is OK
- 10.1063/1.4704546 is OK
- 10.1002/qua.24259 is OK
- 10.1017/cbo9780511805769 is OK
MISSING DOIs
- 10.1137/20m1332864 may be a valid DOI for title: Convergence analysis of direct minimization and self-consistent iterations
INVALID DOIs
- None
@mfherbst Can you confirm that 10.1137/20m1332864 is a valid DOI for the "Convergence analysis of direct minimization and self-consistent iterations" reference? (It looks like it.)
If so, please update the corresponding bib entry. Thanks!
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@whedon check references
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1039/d0fd00048e is OK
- 10.1088/1361-648x/abcbdb is OK
- 10.1137/20M1332864 is OK
- 10.1038/natrevmats.2015.4 is OK
- 10.1038/ncomms11962 is OK
- 10.1021/jacs.7b02120 is OK
- 10.1038/nmat1752 is OK
- 10.1063/1.3148892 is OK
- 10.1021/acscentsci.8b00229 is OK
- 10.1063/1.5144261 is OK
- 10.1063/5.0005082 is OK
- 10.1103/PhysRevB.54.1703 is OK
- 10.1103/PhysRevLett.77.3865 is OK
- 10.1088/1361-648x/aa680e is OK
- 10.1016/j.commatsci.2012.10.028 is OK
- 10.1063/1.4704546 is OK
- 10.1002/qua.24259 is OK
- 10.1017/cbo9780511805769 is OK
MISSING DOIs
- None
INVALID DOIs
- None
@crstnbr Fixed :smile:
@whedon accept
No archive DOI set. Exiting...
@mfherbst Final thing, can you please archive the current state of the DFTK repository, for example using Zenodo and post the associated DOI here (see https://joss.readthedocs.io/en/latest/editing.html#after-reviewers-recommend-acceptance).
Afterwards I can tell whedon to accept the paper!
Well that' done already :smile: ... the most recent commit is a version tag and the zenodo doi is 10.5281/zenodo.4707620.
@whedon set 10.5281/zenodo.4707620 as archive
OK. 10.5281/zenodo.4707620 is the archive.
@whedon accept
Submitting author: !--author-handle-->@mfherbst<!--end-author-handle-- (Michael F. Herbst) Repository: https://github.com/mfherbst/juliacon2020-proceedings-dftk.git Branch with paper.md (empty if default branch): Version: Editor: !--editor-->@crstnbr<!--end-editor-- Reviewers: @MasonProtter, @jagot Archive:
Status
Status badge code:
Reviewers and authors:
Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
Reviewer instructions & questions
@MasonProtter & @jagot, please carry out your review in this issue by updating the checklist below. If you cannot edit the checklist please:
The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @crstnbr know.
✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨
Review checklist for @MasonProtter
Conflict of interest
Code of Conduct
General checks
Functionality
Documentation
Paper format
paper.tex
file include a list of authors with their affiliations?Content
[x] Context: is the scientific context motivating the work correctly presented?
[x] Methodology: is the approach taken in the work justified, presented with enough details and reference to reproduce it?
[x] Results: are the results presented and compared to approaches with similar goals?
Review checklist for @jagot
Conflict of interest
[x] As the reviewer I confirm that I have read the JuliaCon conflict of interest policy and that there are no conflicts of interest for me to review this work.
Code of Conduct
General checks
Functionality
Documentation
Paper format
paper.tex
file include a list of authors with their affiliations?Content