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g-adopt

Repository for the development of the Geoscientific ADjoint Optimization PlaTform (G-ADOPT).

https://github.com/g-adopt/g-adopt

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 6 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Repository for the development of the Geoscientific ADjoint Optimization PlaTform (G-ADOPT).

Basic Info
  • Host: GitHub
  • Owner: g-adopt
  • License: mit
  • Language: Python
  • Default Branch: master
  • Homepage: https://gadopt.org/
  • Size: 51 MB
Statistics
  • Stars: 22
  • Watchers: 6
  • Forks: 5
  • Open Issues: 28
  • Releases: 11
Created over 5 years ago · Last pushed 6 months ago
Metadata Files
Readme License Citation

README.md

G-ADOPT

This repository contains material and examples relating to the G-ADOPT Platform, a computational platform for inverse geodynamics, being developed and maintained by researchers from the Research School of Earth Sciences at the Australian National University. It builds on a recent surge in accessible observational datasets and advances in inversion methods using sophisticated adjoint techniques that provide a mechanism for fusing these observations with dynamics, physics and chemistry.

G-ADOPT is supported and funded by the Australian Research Data Commons (ARDC), with additional partner contributions from AuScope, the NCI and Geosciences Australia.

Installation

G-ADOPT is available on PyPI as gadopt, and requires a working Firedrake installation. To bring in the optional nonlinear optimisation dependencies, install the gadopt[optimisation] variant. See the G-ADOPT website for more detailed installation instructions, including directions for getting started with the demo notebooks.

Citing

If you use this software in your work, please cite the software using the following metadata and the two articles below:

APA references

Gibson, A., Davies, R., Kramer, S., Ghelichkhan, S., Turner, R., Duvernay, T., & Scott, W. (2024). G-ADOPT (Version v2.3.0) [Computer software]. https://doi.org/10.5281/zenodo.5644391

Davies, D. R., Kramer, S. C., Ghelichkhan, S., & Gibson, A. (2022). Towards automatic finite-element methods for geodynamics via Firedrake. Geoscientific Model Development, 15(13), 5127–5166. doi:10.5194/gmd-15-5127-2022

Ghelichkhan, S., Gibson, A., Davies, D. R., Kramer, S. C., & Ham, D. A. (2024). Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time. Geoscientific Model Development, 17(13), 5057-5086.

Bibtex references @software{Gibson_G-ADOPT_2024, author = {Gibson, Angus and Davies, Rhodri and Kramer, Stephan and Ghelichkhan, Sia and Turner, Ruby and Duvernay, Thomas and Scott, Will}, doi = {10.5281/zenodo.5644391}, month = jun, title = {{G-ADOPT}}, url = {https://github.com/g-adopt/g-adopt}, version = {v2.3.0}, year = {2024} } @Article{Davies_Towards_2022, AUTHOR = {Davies, D. R. and Kramer, S. C. and Ghelichkhan, S. and Gibson, A.}, TITLE = {Towards automatic finite-element methods for geodynamics via Firedrake}, JOURNAL = {Geoscientific Model Development}, VOLUME = {15}, YEAR = {2022}, NUMBER = {13}, PAGES = {5127--5166}, URL = {https://gmd.copernicus.org/articles/15/5127/2022/}, DOI = {10.5194/gmd-15-5127-2022} } @Article{Ghelichkhan_Automatic_2024, AUTHOR = {Ghelichkhan, S. and Gibson, A. and Davies, D. R. and Kramer, S. C. and Ham, D. A.}, TITLE = {Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time}, JOURNAL = {Geoscientific Model Development}, VOLUME = {17}, YEAR = {2024}, NUMBER = {13}, PAGES = {5057--5086}, URL = {https://gmd.copernicus.org/articles/17/5057/2024/}, DOI = {10.5194/gmd-17-5057-2024} }

Please also cite Firedrake using the instructions here.

Owner

  • Name: G-ADOPT
  • Login: g-adopt
  • Kind: organization
  • Email: siavash.ghelichkhan@anu.edu.au

Geodynamic Adjoint Optimization Platform

Citation (CITATION.cff) 

authors:
- family-names: Gibson
  given-names: Angus
- family-names: Davies
  given-names: Rhodri
- family-names: Kramer
  given-names: Stephan
- family-names: Ghelichkhan
  given-names: Sia
- family-names: Turner
  given-names: Ruby
- family-names: Duvernay
  given-names: Thomas
- family-names: Scott
  given-names: Will
cff-version: 1.2.0
date-released: '2024-06-11'
doi: 10.5281/zenodo.5644391
message: If you use this software, please cite it as below.
repository-code: https://github.com/g-adopt/g-adopt
title: G-ADOPT
type: software
version: v2.3.0

GitHub Events

Total
  • Create event: 128
  • Commit comment event: 2
  • Release event: 3
  • Delete event: 100
  • Member event: 1
  • Pull request event: 175
  • Fork event: 6
  • Issues event: 70
  • Watch event: 8
  • Issue comment event: 390
  • Push event: 867
  • Gollum event: 8
  • Pull request review comment event: 559
  • Pull request review event: 533
Last Year
  • Create event: 128
  • Commit comment event: 2
  • Release event: 3
  • Delete event: 100
  • Member event: 1
  • Pull request event: 175
  • Fork event: 6
  • Issues event: 70
  • Watch event: 8
  • Issue comment event: 390
  • Push event: 867
  • Gollum event: 8
  • Pull request review comment event: 559
  • Pull request review event: 533

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 45
  • Total pull requests: 163
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 18 days
  • Total issue authors: 8
  • Total pull request authors: 10
  • Average comments per issue: 0.82
  • Average comments per pull request: 2.34
  • Merged pull requests: 96
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 40
  • Pull requests: 109
  • Average time to close issues: 12 days
  • Average time to close pull requests: 9 days
  • Issue authors: 7
  • Pull request authors: 9
  • Average comments per issue: 0.78
  • Average comments per pull request: 1.94
  • Merged pull requests: 59
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • sghelichkhani (16)
  • angus-g (12)
  • Patol75 (8)
  • drhodrid (5)
  • dsroberts (1)
  • connorjward (1)
  • w3168 (1)
  • rubyturner (1)
Pull Request Authors
  • angus-g (46)
  • Patol75 (38)
  • sghelichkhani (22)
  • dsroberts (18)
  • drhodrid (18)
  • w3168 (16)
  • stephankramer (2)
  • leo-collins (1)
  • ksagiyam (1)
  • pbrubeck (1)
Top Labels
Issue Labels
testing (7) bug (6) external (5) maintenance (2) enhancement (1) answer change (1) demo (1)
Pull Request Labels
maintenance (17) enhancement (10) documentation (9) testing (8) bug (8) ready (6) external (4) demo (4) answer change (3) dev meeting (2) question (2)

Dependencies

requirements.txt pypi
  • pandas *
.github/workflows/lint.yml actions
  • actions/checkout v2 composite
  • actions/setup-python v2 composite
.github/workflows/test.yml actions
  • actions/checkout v3 composite