Isbn: 9781528310956 - on the selection of the intermolecular potential function: application of statistical mechanical theory to experiment (classic reprint) (3 risultati)

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  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1528310950 / 9781528310956

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    Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condizione: Nuovo

    EUR 25,76

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    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1528310950 / 9781528310956

    • Brossura

    Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK

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    Condizione: Nuovo

    EUR 25,19

    EUR 3,84 spedizione 
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    Quantità: 15 disponibili

    PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

  • Lingua: Inglese

    Editore: Forgotten Books, 2018

    1528310950 / 9781528310956

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    • Print on Demand

    Da: Forgotten Books, London, Regno UnitoForgotten Books

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    EUR 16,20

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    Paperback. Condizione: New. Print on Demand. This book pioneers an innovative method to assess the molecular potential functions in statistical mechanics. The author presents a theoretical framework to quantify the relationship between model functions and macroscopic experimental properties. The method is applied to four commonly used function families and to equilibrium and transport properties. The results indicate that temperature determines potential function sensitivity, with low and high-temperature data essential to distinguish between functions. Intermediate-range data, however, are insensitive to the potential function, obscuring any choice but not contributing uncertainty. Statistical mechanical theories can understand and derive the laws of nature and the properties of materials from molecular considerations. They require the intermolecular potential function to translate formal expressions into working equations but the quantum mechanics used to derive them doesn't provide complete functions, leaving model functions as the only option. This book functions as a guide for choosing the most appropriate model function for a given dataset by providing a theoretical framework to quantify relationships between model functions and experimental properties. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.