Molecular Physical Chemistry: A Computer-based Approach using Mathematica® and Gaussian - Tapa blanda

Acerca del autor

José J. C. Teixeira Dias is retired Professor of Physical Chemistry from the University of Aveiro, Portugal. He obtained his PhD from the University of Sussex, Brighton, UK, in 1970 under the supervision of Professor John Murrell and Professor Harold Kroto. From 1980 to 1995 he was Professor of Chemistry at the University of Coimbra before moving to the University of Aveiro. In 1991 Prof. Dias became Fellow of the Royal Society of Chemistry with the Chartered Chemist (CChem) distinction.
Prof. Dias has authored four university student textbooks in Portuguese on Quantum Chemistry, Molecular Spectroscopy, Pascal Programming and Applications, and an Introduction to Physical Chemistry. With this current textbook on Molecular Physical Chemistry he is addressing an international readership, providing a great resource for an active learning environment.

De la contraportada

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.

This book presents the subjects on the basis of examples, exploring and running computer programs (Mathematica®), 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® 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.

Students who are not yet familiar with Mathematica® or Gaussian will find a valuable introduction to computer-based problem solving in the molecular sciences.