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  • Format: ePub

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…mehr

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Produktbeschreibung
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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Autorenporträt
Mark Telling is a senior research scientist who has over a decade's experience using, developing and advising on neutron methods, in particular the QENS technique. His personal research interests focus on bio-materials. Mark is a visiting lecturer in the Department of Materials, University of Oxford and has instructed students at the Universities of Rome (as Visiting Professor) and Copenhagen. Mark has over 100 peer reviewed research publications as either first or co-author and sits on several international research facilities advisory panels. He is an active student mentor (The Madrinha Trust) and a Science, Technology, Engineering and Mathematics (STEM) Ambassador.