rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Machine learning in chemistry
    sub title: data-driven algorithms, learning systems, and predictions
  name:
    name part: Pyzer-Knapp, Edward O.
    role:
      role term: editor.
  name:
    name part: Laino, Teodoro
    role:
      role term: editor.
  name:
    name part: American Chemical Society
    name part: Division of Computers in Chemistry,
    role:
      role term: sponsoring body.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: dcu
    date issued: 2019
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (x, 129 pages) : illustrations.
  table of contents: Atomic-scale representation and statistical learning of tensorial properties -- Prediction of Mohs hardness with machine learning methods using compositional features -- High-dimensional neural network potentials for atomistic simulations -- Data-driven learning systems for chemical reaction prediction: an analysis of recent approaches -- Using machine learning to inform decisions in drug discovery : an industry perspective -- Cognitive materials discovery and onset of the 5th discovery paradigm.
  note: Edward O. Pyzer-Knapp, editor, Teodoro Laino, editor.
  note: "Sponsored by the ACS Division of Computers in Chemistry" -- title page.
  note: Includes bibliographical references and indexes.
  subject:
    topic: Chemistry
    topic: Data processing
  subject:
    topic: Machine learning
  subject:
    topic: Cheminformatics
  subject:
    topic: Machine Learning
  subject:
    topic: Chimio-informatique
  subject:
    topic: Apprentissage automatique
  subject:
    topic: Chemistry
    topic: Data processing
  subject:
    topic: Machine learning
  classification: QD39.3.E46 M33 2019
  classification: 542.85/631
  classification: 540.285/631
  related item:
    title info:
      title: ACS symposium series ; 1326
  identifier: 9780841235052
  identifier: 0841235058
  identifier: 9780841235045
  identifier: 084123504X
  identifier: 2019048154
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UAB
    record creation date: 191220
    record change date: 20241009195904.3
    record identifier: in00005506032
    language of cataloging:
      language term: eng