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Characterisation Methods in Inorganic Chemistry

Characterisation Methods in Inorganic Chemistry

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  • Forlagets pris kr. 409,95
  • Leveringstid 5-7 hverdage
  • Forventet levering 02-05-2018
Bog, paperback (kr. 314,95)
  1. Beskrivelse

    Characterisation Methods in Inorganic Chemistry provides a fresh alternative to the existing descriptive and theoretical inorganic chemistry texts by using a technique-based, problem-solving approach to show how analytical methods are used to characterise the structures and properties... Læs mere

    Udgivelsesdato:
    09-03-2017
    Leveringstid:
    5-7 hverdage
    Rating:
    (0)
  2. Yderligere info
    Udgivelsesdato:
    09-03-2017
    Sprog:
    Engelsk
    ISBN13:
    9780199654413
    Sidetal:
    464
    Vægt:
    806
    Højde:
    16
    Bredde:
    197
    Længde:
    265
    Mærkat:
    Bog, paperback
    Format:
    Paperback
    • Bibliotekernes beskrivelse

      Characterisation Methods in Inorganic Chemistry provides a fresh alternative to the existing theoretical and descriptive inorganic chemistry texts by adopting a techniques-based approach and providing problem-solving opportunities to show how analytical methods are used to help us characterise inorganic compounds. The text covers the full range of analytical techniques employed by inorganic chemists, emphasizing those in most frequent use: NMR, diffraction, UV-Vis spectroscopy, and IR. The additional coverage on other techniques allows readers to study these less widely used methods when relevant to their specific course material. Each chapter follows a clear, structured format, which begins with a brief introduction to the technique and basic theory behind it before moving on to data collection and analysis, typical data and interpretation, with numerous worked examples, self- tests and problems. Online Resource Centre For registered adopters of the book: - Figures and tables of data from the book, ready to download - Additional problems and exercises For students: - Answers to self-test questions - Additional problems and data sets

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