Description

The technique of Quasi-Elastic Neutron Scattering (QENS) is a powerful experimental tool for extracting temporal and spatial information at the nanoscale from both soft and hard condensed matter systems. However, while seemingly simple, the method is beset with sensitivities that, if ill considered, can hinder data interpretation and possibly publication. By highlighting key theoretical and data evaluation aspects of the technique, this specialised ‘primer style’ training resource encourages research success by guiding new researchers through a typical QENS experiment; from planning and sample preparation considerations to data reduction and subsequent analysis. Research examples are referenced throughout to illustrate the concepts addressed, with the book being written in such a way that it remains accessible to chemists, biologists, physicists, and materials scientists.

A Practical Guide to Quasi-elastic Neutron Scattering

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£46.92

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Paperback / softback by Mark T F Telling

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Short Description:

The technique of Quasi-Elastic Neutron Scattering (QENS) is a powerful experimental tool for extracting temporal and spatial information at the... Read more

    Publisher: Royal Society of Chemistry
    Publication Date: 07/07/2020
    ISBN13: 9781788012621, 978-1788012621
    ISBN10: 1788012623

    Number of Pages: 152

    Non Fiction , Mathematics & Science , Education

    Description

    The technique of Quasi-Elastic Neutron Scattering (QENS) is a powerful experimental tool for extracting temporal and spatial information at the nanoscale from both soft and hard condensed matter systems. However, while seemingly simple, the method is beset with sensitivities that, if ill considered, can hinder data interpretation and possibly publication. By highlighting key theoretical and data evaluation aspects of the technique, this specialised ‘primer style’ training resource encourages research success by guiding new researchers through a typical QENS experiment; from planning and sample preparation considerations to data reduction and subsequent analysis. Research examples are referenced throughout to illustrate the concepts addressed, with the book being written in such a way that it remains accessible to chemists, biologists, physicists, and materials scientists.

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