https://github.com/barbagroup/bempp_exafmm_paper
Manuscript repository for our research paper, including reproducibility packages for all results, and latex source files.
Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 10 DOI reference(s) in README -
✓Academic publication links
Links to: arxiv.org, zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.2%) to scientific vocabulary
Keywords
Repository
Manuscript repository for our research paper, including reproducibility packages for all results, and latex source files.
Basic Info
Statistics
- Stars: 6
- Watchers: 5
- Forks: 2
- Open Issues: 15
- Releases: 1
Topics
Metadata Files
README.md
High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm
Tingyu Wang, Christopher D. Cooper, Timo Betcke, Lorena A. Barba
Manuscript repository, including all source files for the text and reproducibility packages for all figures.
Preprint on arxiv:2103.01048
- Submitted: 20 March 2021; first revision request: 26 April 2021 (4 peer-review reports provided)
- submitted version is tagged release v2.0
- Revision submitted: 26 May 2021; request for information from the editors: 8 July 2021.
- resubmission version is tagged release v2.1
- Reply to the editor first sent on 12 July.
- 31 July: EiC writes that after discussion with the editorial team, they would like to send our replies to Reviewers 1 and 3, and requests these in PDF. Responses in HackMD for Reviewer 1 and Reviewer 3. Sent to editor 2 August.
- New review comments provided 21 September, with request to respond. See issue #15 for editorial letter. Issues 16,17,18 address reviewer comments.
- Email to EiC on Oct. 15, 2021: see comment on issue #15.
- Revision submitted Dec. 7, 2021
- First rejection decision: February 15, 2022 (see issue #19)
- Appeal, with new evidence, rebuttal and revision: Sep 5, 2022
- Second rejection decision: December 5, 2022
Reproducibility package archives
See the README in the repro-pack folder for instructions.
Wang, Tingyu, Cooper, Christopher D., Betcke, Timo, Barba, Lorena A., High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm (manuscript and repro-pack), (2021).
Wang, Tingyu, Cooper, Christopher D., Betcke, Timo, Barba, Lorena A., High-productivity, high-performance workflow for virus-scale electrostatic simulations with Bempp-Exafmm (meshes and pqr files), (2021).
Software
- Exafmm-t (BSD 3-Clause License)
- Documentation
- Citation: Wang et al., (2021). ExaFMM: a high-performance fast multipole method library with C++ and Python interfaces. Journal of Open Source Software, 6(61), 3145, https://doi.org/10.21105/joss.03145
- Bempp-cl (MIT License)
- Installing Bempp
- Citation: Betcke et al., (2021). Bempp-cl: A fast Python based just-in-time compiling boundary element library.. Journal of Open Source Software, 6(59), 2879, https://doi.org/10.21105/joss.02879
LICENSE
Not all content in this repository is open source. The Python code for creating the figures is shared under a BSD3 License. The written content in any Jupyter Notebooks is shared under a Creative Commons Attribution (CC-BY) license. But please note that the manuscript text is not open source; we reserve rights to the article content, which will be submitted for publication in a journal. Only fair use applies in this case.
Owner
- Name: Barba group
- Login: barbagroup
- Kind: organization
- Location: Washington, DC
- Website: http://lorenabarba.com
- Repositories: 59
- Profile: https://github.com/barbagroup
GitHub Events
Total
Last Year
Issues and Pull Requests
Last synced: over 1 year ago
All Time
- Total issues: 23
- Total pull requests: 1
- Average time to close issues: about 1 month
- Average time to close pull requests: less than a minute
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 3.78
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- labarba (21)
Pull Request Authors
- tingyu66 (1)