projects.yaml

# Daniel Wheeler Projects/Interests

- Name: Data Driven Simulation Mangement (DDSM)
  Repositories:
    - https://github.com/data-driven-science/ddsm-db
    - https://github.com/data-driven-science/ddsm-view
    - https://github.com/data-driven-science/ddsm-api
    - https://github.com/data-driven-science/ddsm-cloud
    - https://github.com/open-research/sumatra
  Participants:
    - Daniel Wheeler
    - Yannick Congo
  Description: >_
    DDSM is a python platform for displaying and manipulating data
    generated by a simulation management tool
  Roadmap: >_
    - Finish repository split based on services (2 apps, backend DB and view)
    - Make API work with Sumatra Client
    - Deploy on Amazon or Heroku
    - Switch view over to be only JS based on D3.js, material.js and use coffeescript
    - Build out test suites for all four services
    - Actively pursue users
    - After completion of these tasks, relentlessly promote at conferences

- Name: CHiMaD Phase Field Website
  Repositories:
    - https://github.com/usnistgov/chimad-phase-field
  Participants:
    - Daniel Wheeler
    - James Warren
  Description: >_
    In January 2015 a group of phase field theorists and developers
    met at Northwestern University to discuss ways for the community
    to improve code collaboration efforts. Everyone agreed that the
    community needs to become more open and work in a more
    collaborative manner. A key factor to improving community code
    collaboration is to develop resources to compare and contrast
    phase field codes and libraries. This site aims to provide some of
    these resources and become a useful web service for phase field
    practitioners.
  Roadmap: >_
    - Create backend app for GitHub API data deployed on Heroku
    - Add people in the same manner as codes and automate data gathering
    - Find interesting ways to compare codes and present with D3
    - Start building out trivial comparision framework 
    

- Name: Software Carpentry Instructor Training
  Repositories:
   - https://github.com/swcarpentry/training-course
  Particpants:
   - Daniel Wheeler
  Description: >_
    Training to be a Software Carpentry Instructor
  Roadmap: >_
    Organize a workshop at NIST and instruct some other for practise

- Name: FiPy
  Repositories:
    - https://github.com/usnistgov/fipy
  Particpants:
    - Daniel Wheeler
    - Jon Guyer
  Description: >_
    FiPy is an object oriented, partial differential equation (PDE)
    solver, written in Python, based on a standard finite volume (FV)
    approach.
  Roadmap: >_
    - Support users on the mailing list and fix bugs.
    - Add test suite to Travis
    - Fix up documentation for Github
    - Update web documentation
    - Docker instances of examples

- Name: PyMKS
  Repositories:
    - https://github.com/materialsinnovation/pymks
  Participants:
    - Daniel Wheeler
    - David Brough
    - Tony Fast
    - Surya Kalidindi
    - Andrew Reid
  Description: >_
    The Materials Knowledge Systems (MKS) is a novel data science
    approach for solving multiscale materials science problems. It
    uses techniques from machine learning, regression analysis, signal
    processing, and spatial statistics to create
    structure-property-processing relationships. The MKS carries the
    potential to both bridge multiple length scales (using
    localization) and provide a framework for solving the inverse
    material design problem.
  Roadmap: >_
    - Add IPython notebooks to the test suite
    - Add the test suite to Travis
    - Create Docker instances for the examples
    - Help David clean up the homogenization class and create some
      homogenization examples
    - Add in higher order terms and examples
    - Toy around with the idea of a JavaScript implementaion of PyMKS
      to run in the browser using the GPU for the convolution.

- Name: Materials Informatics Workshop
  Repositories:
    - https://github.com/materialsinnovation/tms-materials-informatics-workshop
  Particpants:
    - Daniel Wheeler
    - David Brough
    - Surya Kalidindi
  Description: >_
    Microstructure informatics is an emerging suite of signal
    processing techniques, advance statistical tools and data science
    methods tailored specifically to the study of microstructure in
    materials science. The purpose of the materials informatics
    workshop is to provide practical knowledge in using these
    techniques to improve the efficiency and efficacy of multiscale
    simulations and experimental characterization involving materials
    microstructure, see 1, 2, 3 and 4. The workshop will focus on
    introducing participants to a set of open source computational
    tools in Python that addresses spatial statistics for materials
    informatics.
  Roadmap: >_
    - Docker instances for the examples and deploy on service such as
      Wakari for workshop

- Name: Extreme Fill
  Repositories:
    - https://github.com/wd15/extremefill2D
    - https://github.com/wd15/extremefill
  Participants:
    - Daniel Wheeler
    - Daniel Josell
    - Tom Moffat
  Description: >_
    This repository contains all the code necessary to reproduce the
    simulations for the Extreme Fill 2D model described in a paper by
    Wheeler, Moffat and Josell recently submitted to the JES. For
    further details on Extreme Fill see
    http://wd15.github.io/2013/05/07/extremefill2d/ and read the
    paper. The repository aims to make both the simulations and the
    images entirely reproducible.
  Roadmap: >_
    No current plans