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Molecular Physical Chemistry A Computer Based Approach Using Mathematica And Gaussian (Hb 2017) at Meripustak

Molecular Physical Chemistry A Computer Based Approach Using Mathematica And Gaussian (Hb 2017) by TEIXEIRA-DIAS JJC, SPRINGER

Books from same Author: TEIXEIRA-DIAS JJC

Books from same Publisher: SPRINGER

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  • General Information  
    Author(s)TEIXEIRA-DIAS JJC
    PublisherSPRINGER
    ISBN9783319822655
    Pages457
    BindingHardbound
    LanguageEnglish
    Publish YearJuly 2018

    Description

    SPRINGER Molecular Physical Chemistry A Computer Based Approach Using Mathematica And Gaussian (Hb 2017) by TEIXEIRA-DIAS JJC

    This is the physical chemistry textbook for students with an affinity for computers! It offers basic and advanced knowledge for students in the second year of chemistry masters studies and beyond. In seven chapters, the book presents thermodynamics, chemical kinetics, quantum mechanics and molecular structure (including an introduction to quantum chemical calculations), molecular symmetry and crystals. The application of physical-chemical knowledge and problem solving is demonstrated in a chapter on water, treating both the water molecule as well as water in condensed phases. Instead of a traditional textbook top-down approach, this book presents the subjects on the basis of examples, exploring and running computer programs (Mathematica (R)), discussing the results of molecular orbital calculations (performed using Gaussian) on small molecules and turning to suitable reference works to obtain thermodynamic data. Selected Mathematica (R) codes are explained at the end of each chapter and cross-referenced with the text, enabling students to plot functions, solve equations, fit data, normalize probability functions, manipulate matrices and test physical models. In addition, the book presents clear and step-by-step explanations and provides detailed and complete answers to all exercises. In this way, it creates an active learning environment that can prepare students for pursuing their own research projects further down the road. Students who are not yet familiar with Mathematica (R) or Gaussian will find a valuable introduction to computer-based problem solving in the molecular sciences. Other computer applications can alternatively be used. For every chapter learning goals are clearly listed in the beginning, so that readers can easily spot the highlights, and a glossary in the end of the chapter offers a quick look-up of important terms.



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