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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. .

Physics. --- Chemistry, Physical and theoretical. --- Bioinformatics. --- Atomic structure  . --- Molecular structure . --- Materials science. --- Physical chemistry. --- Numerical and Computational Physics, Simulation. --- Theoretical and Computational Chemistry. --- Computational Biology/Bioinformatics. --- Atomic/Molecular Structure and Spectra. --- Characterization and Evaluation of Materials. --- Physical Chemistry. --- Chemistry, Theoretical --- Physical chemistry --- Theoretical chemistry --- Chemistry --- Material science --- Physical sciences --- Structure, Molecular --- Chemical structure --- Structural bioinformatics --- Structure, Atomic --- Atomic theory --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Natural philosophy --- Philosophy, Natural --- Dynamics --- Data processing --- Statistical physics. --- Physics --- Mathematical statistics --- Statistical methods

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Any curriculum involving science and/or engineering will eventually find itself entering the realm of physics. This book seeks to introduce students to a number of the fundamental concepts in physics and illustrate how different theories were developed out of physical observations and phenomena. The book presents multi-chapter sections on electrostatics, magnetism and electromagnetic waves, with eyes on both the past and the future, touching, along the way, on Coulomb, Gauss, Maxwell, Ohm, Biot-Savart, Ampere, Faraday, Fresnel and Lorentz. The book also contains an appendix that provides the reader with a portion of the mathematical background of vector analysis and vector differential operators. The book approaches its topics through a focus on examples and problem-solving techniques, illustrating vividly how physical theories are applied to problems in engineering and science. The book is primarily aimed at undergraduate students in these two fields, but it also features chapters that are geared towards senior undergraduates working on their final year theses.

Mathematical physics --- Electromagnetism. Ferromagnetism --- Electrical engineering --- Applied physical engineering --- theoretische fysica --- elektrodynamica --- wiskunde --- fysica --- elektrotechniek --- magnetisme --- Electromagnetism. --- Electromagnetism --- Mathematics.

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Electromagnetism. --- Electromagnetism --- Mathematics. --- Electromagnetics --- Magnetic induction --- Magnetism --- Metamaterials

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This book covers a range of topics in quantum mechanics and molecular dynamics simulation, including computational modeling and machine learning approaches. The book also provides a Python GUI and tutorials for simulating molecular biological systems and presents case studies of quantum mechanics simulations for predicting electronic properties. Its pedagogical formatting makes it easy for students to understand and follow and has been praised for providing clear and detailed explanations of complex topics. This book is ideal for graduate students and researchers in theoretical and computational biophysics, physics, chemistry, and materials science, as well as postgraduates in applied mathematics, computer science, and bioinformatics.

Space research --- Quantum mechanics. Quantumfield theory --- Physics --- General biophysics --- Artificial intelligence. Robotics. Simulation. Graphics --- quantumfysica --- biofysica --- mineralen (chemie) --- mijnbouw --- fysica --- ruimte (astronomie)