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grapemr.jl

Gradient Ascent Pulse Engineering

https://github.com/amandanicotina/grapemr.jl

Science Score: 44.0%

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
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.4%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Gradient Ascent Pulse Engineering

Basic Info
  • Host: GitHub
  • Owner: amandanicotina
  • License: mit
  • Language: Julia
  • Default Branch: main
  • Homepage:
  • Size: 72 MB
Statistics
  • Stars: 3
  • Watchers: 2
  • Forks: 0
  • Open Issues: 3
  • Releases: 0
Created almost 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

Grape Logo

GrapeMR

GrapeMR.jl is a Julia package that numerically designes pulse sequences for NMR/MRI applications. By defining a cost funciton, the algorithm calculates step-by-step what is the best pulse sequence for a specific problem.

Documentation

You can access the latest documentation on GrapeMR's Github Pages where you'll find an introduction, a brief tutorial, API documentation, and details on how to develop on the package.

Compatibility

The package is tested on Julia 1.9.4 and 1.11.1 on Linux (amd64), 1.11.1 on MacOS (arm64). Other julia versions may work, but are not tested. Other platforms are not supported, but Windows (amd64) should work too.

Owner

  • Name: Amanda Nicotina
  • Login: amandanicotina
  • Kind: user
  • Location: Munich, Germany
  • Company: Technical University of Munich

Citation (CITATIONS.bib) 

@article{khaneja2005optimal,
  title={Optimal control of coupled spin dynamics: design of NMR pulse sequences by gradient ascent algorithms},
  author={Khaneja, Navin and Reiss, Timo and Kehlet, Cindie and Schulte-Herbr{\"u}ggen, Thomas and Glaser, Steffen J},
  journal={Journal of magnetic resonance},
  volume={172},
  number={2},
  pages={296--305},
  year={2005},
  publisher={Elsevier}
}

GitHub Events

Total
  • Issues event: 1
  • Watch event: 3
  • Delete event: 4
  • Issue comment event: 1
  • Public event: 1
  • Push event: 34
  • Pull request event: 12
  • Create event: 7
Last Year
  • Issues event: 1
  • Watch event: 3
  • Delete event: 4
  • Issue comment event: 1
  • Public event: 1
  • Push event: 34
  • Pull request event: 12
  • Create event: 7

Dependencies

.github/workflows/CI.yml actions
  • actions/checkout v4 composite
  • codecov/codecov-action v4 composite
  • julia-actions/cache v2 composite
  • julia-actions/julia-buildpkg v1 composite
  • julia-actions/julia-processcoverage v1 composite
  • julia-actions/julia-runtest v1 composite
  • julia-actions/setup-julia v2 composite
.github/workflows/Documenter_GitHub_deploy.yaml actions
  • actions/checkout v4 composite
  • julia-actions/cache v2 composite
  • julia-actions/setup-julia v2 composite