Molecular Dynamics Simulations in Statistical Physics: Theory and Applications

ISBN-13: 9783030357047 / Angielski / Miękka / 2021 / 463 str.

Hiqmet Kamberaj

Spis treści

Principles of Classical Mechanics.- Principles of Classical Thermodynamics.- Principles of Statistical.- Thermodynamics of Biological Phenomena.- Free Energy Calculation Methods Used in Computer Simulations.- Molecular Dynamics Methods in Simulations of Macromolecules.- Slow Collective Variables of Macromolecular Systems.- Information Theory and Statistical Mechanics.- Practical Aspects of Molecular Dynamics Simulations.- Sympletic and Time Reversible Integrator.- Index.

O autorze

Hiqmet Kamberaj is an Associate Professor at International Balkan University (Skopje, R. of North Macedonia) and Associate Professor at the University of New York Tirana (Tirana, Albania). He also was the Dean of the Faculty of Engineering at International Balkan University from January 2017 to September 2019. Hiqmet completed his Ph.D. (in Computational Physics) in 2005 from Manchester Metropolitan University and Post-Doctoral studies from University of Minnesota, Arizona State University and National Institute of Nanotechnology at University of Edmonton. He received his Bachelor of Science (in Physics) in 1996 from the University of Tirana and his Master of Science (in Physics) from the University of Siegen in 2000.

Hiqmet has published around 20 articles and book chapters in reputed journals and has been serving as editor-in-chief, editorial board member and ad-hoc reviewer of repute. His articles focus on understanding the structure, dynamics, and thermodynamics of macromolecular systems using the laws of physics and biochemistry, and applied mathematics.

Hiqmet loves teaching and preparing lecture notes for his students. He especially enjoys preparing resumes for his students who are taking the first steps of their careers.

Blurb

This book presents computer simulations using molecular dynamics techniques in statistical physics, with a focus on macromolecular systems. The numerical methods are introduced in the form of computer algorithms and can be implemented in computers using any desired computer programming language, such as Fortran 90, C/C++, and others. The book also explains how some of these numerical methods and their algorithms can be implemented in the existing computer programming software of macromolecular systems, such as the CHARMM program.

In addition, it examines a number of advanced concepts of computer simulation techniques used in statistical physics as well as biological and physical systems. Discussing the molecular dynamics approach in detail to enhance readers understanding of the use of this method in statistical physics problems, it also describes the equations of motion in various statistical ensembles to mimic real-world experimental conditions. 

Intended for graduate students and research scientists working in the field of theoretical and computational biophysics, physics and chemistry, the book can also be used by postgraduate students of other disciplines, such as applied mathematics, computer sciences, and bioinformatics. Further, offering insights into fundamental theory, it as a valuable resource for expert practitioners and programmers and those new to the field.