Kirjahaku

All students taking laboratory courses within the physical sciences and engineering will benefit from this book, whilst researchers will find it an invaluable reference. This concise, practical guide brings the reader up-to-speed on the proper handling and presentation of scientific data and its inaccuracies. It covers all the vital topics with practical guidelines, computer programs (in Python), and recipes for handling experimental errors and reporting experimental data. In addition to the essentials, it also provides further background material for advanced readers who want to understand how the methods work. Plenty of examples, exercises and solutions are provided to aid and test understanding, whilst useful data, tables and formulas are compiled in a handy section for easy reference.

Simulation of ‘reality’ is always based on a model of that reality. The models that are used in the various simulation approaches can be ordered in a hierarchical fashion from atomic to macroscopic. In this book the hierarchy of models of physical reality are treated systematically and evaluated in relation to applications. The purpose is to give the ‘simulant’ insight into the possibilities and limitations of the models. This is the first book to authoritatively cover the broad scope of simulation applications from quantum mechanics to fluid dynamics. The emphasis is on the physics behind the molecular models in chemistry and biochemistry, with practical guidance for applications and sample programs provided. This book will appeal to advanced level undergraduate and graduate students studying physical and computational science, as well as those working in interdisciplinary fields with an interest in simulation.