CITATION.cff

cff-version: 1.2.0
message: "If you use DP-GEN, please cite it using the metadata from this file."
type: software
title: "DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models"
abstract: "The deep potential generator to generate a deep-learning based model of interatomic potential energy and force field."
authors:
- name: "DeepModeling"
- family-names: "Wang"
  given-names: "Han"
  email: "wang_han@iapcm.ac.cn"
repository-code: "https://github.com/deepmodeling/dpgen"
url: "https://docs.deepmodeling.com/projects/dpgen"
license: LGPL-3.0-or-later
keywords:
- deep-potential-generator
- active-learning
- deepmd-kit

preferred-citation:
  type: article
  authors:
  - family-names: "Zhang"
    given-names: "Yuzhi"
  - family-names: "Wang"
    given-names: "Haidi"
  - family-names: "Chen"
    given-names: "Weijie"
  - family-names: "Zeng"
    given-names: "Jinzhe"
  - family-names: "Zhang"
    given-names: "Linfeng"
  - family-names: "Wang"
    given-names: "Han"
  - family-names: "E"
    given-names: "Weinan"
  doi: "10.1016/j.cpc.2020.107206"
  journal: "Computer Physics Communications"
  month: 8
  start: 107206 # First page number
  end: 107206 # Last page number
  title: "DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models"
  volume: 253
  year: 2020