ecnet/CITATION.cff at master · ecrl/ecnet · GitHub

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cff-version: 1.2.0
message: If you use this software, please cite it using the metadata below.
title: "ECNet: machine learning models for fuel property prediction"
authors:
  - family-names: Kessler
    given-names: Travis
    orcid: https://orcid.org/0000-0002-7363-4050
    email: travis.j.kessler@gmail.com
  - family-names: Mack
    given-names: John Hunter
    orcid: https://orcid.org/0000-0002-5455-8611
    email: Hunter_Mack@uml.edu
version: 4.1.5
license: MIT
repository-code: https://github.com/ecrl/ecnet
url: https://ecnet.readthedocs.io/en/latest/
abstract: >-
  ECNet predicts fuel properties from molecular structure using QSPR
  descriptors and multilayer perceptron models, with bundled property
  datasets, tuning helpers, and analytical blend equations.
keywords:
  - fuel property prediction
  - QSPR
  - machine learning
  - cetane number
  - PyTorch
preferred-citation:
  type: article
  authors:
    - family-names: Kessler
      given-names: Travis
      orcid: https://orcid.org/0000-0002-7363-4050
    - family-names: Mack
      given-names: John Hunter
      orcid: https://orcid.org/0000-0002-5455-8611
  title: "ECNet: Large scale machine learning projects for fuel property prediction"
  journal: Journal of Open Source Software
  year: 2017
  volume: "2"
  issue: "17"
  start: 401
  doi: 10.21105/joss.00401
  url: https://doi.org/10.21105/joss.00401