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This textbook covers all fundamental concepts of physics and
describes how different theories are developed from physical
observations and phenomena. After some essential calculus the
author presents the complete classical mechanics giving numerous
examples and with a clear focus on problem-solving techniques. Due
to the high number of exercises at the end of each chapter and
their solutions the work is valuable for self-study.
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.
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.
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