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 for membrane separation applications
  name:
    name part: Rezakazemi, Mashallah
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Mustafa, Kiran
    role:
      role term: author.
  name:
    name part: Mahboob, Rao Muhammad Mahtab
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: xx
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  abstract: Machine Learning for Membrane Separation Applications covers the importance of polymeric membranes in separation processes and explains how machine learning is taking these processes to the next level. As polymeric membranes can be used for both gas and liquid separations, along with several other applications, they provide a bypass route to separation due to several fold benefits over traditional techniques. Sections cover the role of Machine Learning in membranes design and development, fouling mitigation, and filtration systems. Machine Learning in a wide variety of polymeric membranes, such as nanocomposite membranes, MOF based membranes, and disinfecting membranes are also covered. This book will serve as a useful tool for researchers in academia and industry, but will also be an ideal reference for students and teachers in membrane science and technology who are looking for new ways to develop state-of-the-art membranes and membrane technologies for liquid and gas separations, such as wastewater treatment and CO2 mitigation.
  note: Kiran Mustafa, Mashallah Rezakazemi and Rao Muhammad Mahtab Mahboob.
  subject:
    topic: Membrane separation
    topic: Data processing
  subject:
    topic: Machine learning
  subject:
    topic: Apprentissage automatique
  classification: TP248.25.M46
  classification: 660/.28424
  related item:
    identifier: (OCoLC)1436904047
  identifier: 0443274223
  identifier: 9780443274220
  identifier: 9780443274237
  identifier: 0443274231
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 251002
    record change date: 20260327191522.4
    record identifier: in00005776198
    language of cataloging:
      language term: eng