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Books > Science & Mathematics > Physics > General
Microencapsulations may be found in a number of fields like
medicine, drug delivery, biosensing, agriculture, catalysis,
intelligent microstructures and in many consumer goods. This new
edition of Microencapsulation revises chapters to address the
newest innovations in fields and adds three new chapters on the
uses of microencapsulations in medicine, agriculture, and consumer
products.
IMA Volumes 135: Transport in Transition Regimes and 136: Dispersive Transport Equations and Multiscale Models focus on the modeling of processes for which transport is one of the most complicated components. This includes processes that involve a wdie range of length scales over different spatio-temporal regions of the problem, ranging from the order of mean-free paths to many times this scale. Consequently, effective modeling techniques require different transport models in each region. The first issue is that of finding efficient simulations techniques, since a fully resolved kinetic simulation is often impractical. One therefore develops homogenization, stochastic, or moment based subgrid models. Another issue is to quantify the discrepancy between macroscopic models and the underlying kinetic description, especially when dispersive effects become macroscopic, for example due to quantum effects in semiconductors and superfluids. These two volumes address these questions in relation to a wide variety of application areas, such as semiconductors, plasmas, fluids, chemically reactive gases, etc.
Approximation Methods in Engineering and Science covers fundamental
and advanced topics in three areas: Dimensional Analysis, Continued
Fractions, and Stability Analysis of the Mathieu Differential
Equation. Throughout the book, a strong emphasis is given to
concepts and methods used in everyday calculations. Dimensional
analysis is a crucial need for every engineer and scientist to be
able to do experiments on scaled models and use the results in real
world applications. Knowing that most nonlinear equations have no
analytic solution, the power series solution is assumed to be the
first approach to derive an approximate solution. However, this
book will show the advantages of continued fractions and provides a
systematic method to develop better approximate solutions in
continued fractions. It also shows the importance of determining
stability chart of the Mathieu equation and reviews and compares
several approximate methods for that. The book provides the
energy-rate method to study the stability of parametric
differential equations that generates much better approximate
solutions.
This book highlights cutting-edge research in the field of network
science, offering scientists, researchers, students, and
practitioners a unique update on the latest advances in theory and
a multitude of applications. It presents the peer-reviewed
proceedings of the Eighth International Conference on Complex
Networks and their Applications (COMPLEX NETWORKS 2019), which took
place in Lisbon, Portugal, on December 10-12, 2019. The carefully
selected papers cover a wide range of theoretical topics such as
network models and measures; community structure, and network
dynamics; diffusion, epidemics, and spreading processes; resilience
and control as well as all the main network applications, including
social and political networks; networks in finance and economics;
biological and neuroscience networks; and technological networks.
This book demonstrates some of the ways in which Microsoft Excel
(R) may be used to solve numerical problems in the field of
physics.
Dirac operators play an important role in several domains of
mathematics and physics, for example: index theory, elliptic
pseudodifferential operators, electromagnetism, particle physics,
and the representation theory of Lie groups. In this essentially
self-contained work, the basic ideas underlying the concept of
Dirac operators are explored. Starting with Clifford algebras and
the fundamentals of differential geometry, the text focuses on two
main properties, namely, conformal invariance, which determines the
local behavior of the operator, and the unique continuation
property dominating its global behavior. Spin groups and spinor
bundles are covered, as well as the relations with their classical
counterparts, orthogonal groups and Clifford bundles. The chapters
on Clifford algebras and the fundamentals of differential geometry
can be used as an introduction to the above topics, and are
suitable for senior undergraduate and graduate students. The other
chapters are also accessible at this level so that this text
requires very little previous knowledge of the domains covered. The
reader will benefit, however, from some knowledge of complex
analysis, which gives the simplest example of a Dirac operator.
More advanced readers---mathematical physicists, physicists and
mathematicians from diverse areas---will appreciate the fresh
approach to the theory as well as the new results on boundary value
theory.
IMA Volumes 135: Transport in Transition Regimes and 136: Dispersive Transport Equations and Multiscale Models focus on the modeling of processes for which transport is one of the most complicated components. This includes processes that involve a wide range of length scales over different spatio-temporal regions of the problem, ranging from the order of mean-free paths to many times this scale. Consequently, effective modeling techniques require different transport models in each region. The first issue is that of finding efficient simulations techniques, since a fully resolved kinetic simulation is often impractical. One therefore develops homogenization, stochastic, or moment based subgrid models. Another issue is to quantify the discrepancy between macroscopic models and the underlying kinetic description, especially when dispersive effects become macroscopic, for example due to quantum effects in semiconductors and superfluids. These two volumes address these questions in relation to a wide variety of application areas, such as semiconductors, plasmas, fluids, chemically reactive gases, etc.
Hadron colliders probe physics at new energy frontiers and search for new particles and forces. In addition, hadron colliders now provide also an environment for precision physics. The present volume collects the results from recently completed runs at major colliders as well as new ideas about collider physics and techniques. It will serve as the main source of reference in the field for many years to come.
Recent experimental evidence about the possibility of "absolute
negative temperature" states in physical systems has triggered a
stimulating debate about the consistency of such a concept from the
point of view of Statistical Mechanics. It is not clear whether the
usual results of this field can be safely extended to
negative-temperature states; some authors even propose fundamental
modifications to the Statistical Mechanics formalism, starting with
the very definition of entropy, in order to avoid the occurrence of
negative values of the temperature tout-court. The research
presented in this thesis aims to shed some light on this
controversial topic. To this end, a particular class of Hamiltonian
systems with bounded kinetic terms, which can assume negative
temperature, is extensively studied, both analytically and
numerically. Equilibrium and out-of-equilibrium properties of this
kind of system are investigated, reinforcing the overall picture
that the introduction of negative temperature does not lead to any
contradiction or paradox.
This comprehensive textbook on the quantum mechanics of identical
particles includes a wealth of valuable experimental data, in
particular recent results from direct knockout reactions directly
related to the single-particle propagator in many-body theory. The
comparison with data is incorporated from the start, making the
abstract concept of propagators vivid and accessible. Results of
numerical calculations using propagators or Green's functions are
also presented. The material has been thoroughly tested in the
classroom and the introductory chapters provide a seamless
connection with a one-year graduate course in quantum mechanics.
While the majority of books on many-body theory deal with the
subject from the viewpoint of condensed matter physics, this book
emphasizes finite systems as well and should be of considerable
interest to researchers in nuclear, atomic, and molecular physics.
A unified treatment of many different many-body systems is
presented using the approach of self-consistent Green's functions.
The second edition contains an extensive presentation of finite
temperature propagators and covers the technique to extract the
self-energy from experimental data as developed in the dispersive
optical model.The coverage proceeds systematically from elementary
concepts, such as second quantization and mean-field properties, to
a more advanced but self-contained presentation of the physics of
atoms, molecules, nuclei, nuclear and neutron matter, electron gas,
quantum liquids, atomic Bose-Einstein and fermion condensates, and
pairing correlations in finite and infinite systems, including
finite temperature.
This monograph provides a concise overview of the main theoretical
and numerical tools to solve homogenization problems in solids with
finite elements. Starting from simple cases (linear thermal case)
the problems are progressively complexified to finish with
nonlinear problems. The book is not an overview of current research
in that field, but a course book, and summarizes established
knowledge in this area such that students or researchers who would
like to start working on this subject will acquire the basics
without any preliminary knowledge about homogenization. More
specifically, the book is written with the objective of practical
implementation of the methodologies in simple programs such as
Matlab. The presentation is kept at a level where no deep
mathematics are required.
This book presents the proceedings of the international conference
Particle Systems and Partial Differential Equations V, which was
held at the University of Minho, Braga, Portugal, from the 28th to
30th November 2016. It includes papers on mathematical problems
motivated by various applications in physics, engineering,
economics, chemistry, and biology. The purpose of the conference
was to bring together prominent researchers working in the fields
of particle systems and partial differential equations, providing a
venue for them to present their latest findings and discuss their
areas of expertise. Further, it was intended to introduce a vast
and varied public, including young researchers, to the subject of
interacting particle systems, its underlying motivation, and its
relation to partial differential equations. The book appeals to
probabilists, analysts and also to mathematicians in general whose
work focuses on topics in mathematical physics, stochastic
processes and differential equations, as well as to physicists
working in the area of statistical mechanics and kinetic theory.
The continued greening of the energy sector, with inroads being
made through numerous sources of materials that can produce energy,
is the main focus of this, Green Chemical Processing, Volume 8. It
includes contributions from area experts in widely different
fields, all involved in energy production, and makes connections to
the 12 Principles of Green Chemistry.
This book collects recent advances in the field of nonlinear
dynamics in biological systems. Focusing on medical applications as
well as more fundamental questions in biochemistry, it presents
recent findings in areas such as control in chemically driven
reaction-diffusion systems, electrical wave propagation through
heart tissue, neural network growth, chiral symmetry breaking in
polymers and mechanochemical pattern formation in the cytoplasm,
particularly in the context of cardiac cells. It is a compilation
of works, including contributions from international scientists who
attended the "2nd BCAM Workshop on Nonlinear Dynamics in Biological
Systems," held at the Basque Center for Applied Mathematics, Bilbao
in September 2016. Embracing diverse disciplines and using
multidisciplinary approaches - including theoretical concepts,
simulations and experiments - these contributions highlight the
nonlinear nature of biological systems in order to be able to
reproduce their complex behavior. Edited by the conference
organizers and featuring results that represent recent findings and
not necessarily those presented at the conference, the book appeals
to applied mathematicians, biophysicists and computational
biologists.
In this monograph we study the problem of construction of
asymptotic solutions of equations for functions whose number of
arguments tends to infinity as the small parameter tends to zero.
Such equations arise in statistical physics and in quantum theory
of a large number of fi elds. We consider the problem of
renormalization of quantum field theory in the Hamiltonian
formalism, which encounters additional difficulties related to the
Stuckelberg divergences and the Haag theorem. Asymptotic methods
for solving pseudodifferential equations with small parameter
multiplying the derivatives, as well as the asymptotic methods
developed in the present monograph for solving problems in
statistical physics and quantum field theory, can be considered
from a unified viewpoint if one introduces the notion of abstract
canonical operator. The book can be of interest for researchers -
specialists in asymptotic methods, statistical physics, and quantum
fi eld theory as well as for graduate and undergraduate students of
these specialities.
This book is the result of many years of experience of the authors
in guiding physics projects. It aims to satisfy a deeply felt need
to involve students and their instructors in extended experimental
investigations of physical phenomena. Over fifty extended projects
are described in detail, at various levels of sophistication, aimed
at both the advanced high school, as well as first and second year
undergraduate physics students, and their instructors. Carrying out
these projects may take anything from a few days to several weeks,
and in some cases months. Each project description starts with a
summary of theoretical background, proceeds to outline goals and
possible avenues of exploration, suggests needed instrumentation,
experimental setup and data analysis, and presents typical results
which can serve as guidelines for the beginner researcher. Separate
parts are devoted to mechanics, electromagnetism, acoustics,
optics, liquids, and thermal physics. An additional appendix
suggests twenty further ideas for projects, giving a very brief
description for each and providing references for pursuing them in
detail. We also suggest a useful library of basic texts for each of
the topics treated in the various parts.
This book provides a comprehensive review of complex networks from
three different domains, presents novel methods for analyzing them,
and highlights applications with accompanying case studies. Special
emphasis is placed on three specific kinds of complex networks of
high technological and scientific importance: software networks
extracted from the source code of computer programs, ontology
networks describing semantic web ontologies, and co-authorship
networks reflecting collaboration in science. The book is primarily
intended for researchers, teachers and students interested in
complex networks and network data analysis. However, it will also
be valuable for researchers dealing with software engineering,
ontology engineering and scientometrics, as it demonstrates how
complex network analysis can be used to address important research
issues in these three disciplines.
This book provides a comprehensive analysis of time-fixed terminal
rendezvous around the Earth using chemical propulsion. The book has
two main objectives. The first is to derive the mathematics of
relative motion in near-circular orbit when subjected to
perturbations emanating from the oblateness of the Earth,
third-body gravity, and atmospheric drag. The mathematics are
suitable for quick trajectory prediction and the creation of
computer codes and efficient software to solve impulsive maneuvers
and fly rendezvous missions. The second objective of this book is
to show how the relative motion theory is applied to the exact
precision-integrated, long-duration, time-fixed terminal rendezvous
problem around the oblate Earth for the general elliptic orbit
case. The contents are both theoretical and applied, with
long-lasting value for aerospace engineers, trajectory designers,
professors of orbital mechanics, and students at the graduate level
and above.
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