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Strinati G: Many-Body Green's Functions
for Time-Dependent Problems

Many-Body Green's Functions for Time-Dependent Problems

Since 1992, when Ohring's Materials Science of Thin Films: Deposition and Structure was published as the first true textbook on thin films, the field has expanded tremendously, especially with regard to technological applications. Intended for science and engineering students in advanced undergraduate or first-year graduate level courses on thin films as well as scientists and engineers who are entering the field or require an overview of thin films, the book provides the most comprehensive coverage of materials science and technology related to thin films and coatings of any book. The 3rd edition brings the book up-to-date with the most important advances made since the publication of the previous edition. All chapters have been fully revised and include new illustrations, examples and exercises.

Deposition and Structure

Ohring's Materials Science of Thin Films

Manchester Physics

Cosmology

The Navier-Stokes equations - modeling the motion of viscous, incompressible Newtonian fluids - have been capturing the attention of an increasing number of mathematicians over the years and has now become one of the most intensely studied subjects in applied analysis. This project is dedicated to a complete and updated mathematical analysis of fundamental topics related to these equations. Every subject will be analyzed using different approaches. The main ideas behind them as well as their differences will also be emphasized and discussed. The book aims at being self-contained, however, it will also be supported by a vast bibliography for further reading.

Navier-Stokes Equations: A Mathematical Analysis

Imaging in Medical Diagnosis and Therapy

Proton Radiography and Tomography for Medical Applications

Proton Imaging Technology

How ideas from science can transform your life

The Art of Physics

Radiography, or X-ray imaging, is not only the first medical imaging modality but continues to be the most commonly used. This book provides complete coverage of the fundamentals, from technology to image acquisition, storage, display, analysis, and quality assurance methods to applications for improved disease detection and diagnosis. It is written for anyone looking for a comprehensive, accessible treatment of the basic physics and technology, radiological principles, imaging methodologies, applications, and their impact on the clinical practice of radiography.

Radiography, or X-ray imaging, is not only the first medical imaging modality but continues to be the most commonly used. This book provides complete coverage of the fundamentals, from technology to image acquisition, storage, display, analysis, and quality assurance methods to applications for improved disease detection and diagnosis. It is written for anyone looking for a comprehensive, accessible treatment of the basic physics and technology, radiological principles, imaging methodologies, applications, and their impact on the clinical practice of radiography.

Technology, Imaging, and Applications

Digital Radiography

Interface Transmission Tutorial Book Series

Long-Lived Resonances

Sensing

This will be the 7th book in the author's 'Lectures on ...' book series, and the first aimed at graduate-level readers(two additional graduate texts are in preparation). Primarily intended for physics graduate students, the book is accessible to advanced undergraduates and will appeal to students with a background in statistics and a keen interest in quantum physics. By the end of this book, readers will be well-prepared for working on research projects that require the drawing of inference from the noisy data collected in quantum experiments, as epitomized by quantum state estimation.The book begins with chapters on the basics of estimation theory and the basics of quantum theory. This includes, in particular, the roles played by the frequentist methods of statistics, which are crucial when planning an experiment, and the Bayesian methods, which are the tools for drawing inference from the actual data gathered. A central concept is that of optimal error regions that supplement the point estimators ('best guesses') with the analogs of error bars in the high-dimensional parameter space; there is, in particular, the plausible region which comprises all point estimators supported by the data.Practical applications require the evaluation of high-dimensional integrals with the aid of Monte Carlo integration. For that, one needs to draw samples of quantum states from the relevant distributions, namely the priors and posteriors of Bayesian methodology. The book discusses the algorithms well-suited for this kind of sampling, which is central to the processing of real-life data.The book illustrates all concepts with pertinent examples and offers numerous exerciseswhich the readers can practice and perfect their skills with. The presentation is detailed and does not skip technical steps, which makes the book particularly valuable for self-studying readers and as textbook adopted by lecturers teaching courses on this or related topics. While the book is based on lecture notes developed for the author's courses on quantum state estimation at NUS and BIT, this book also offers a comprehensive account of the concepts and methods developed in the author's group at CQT and presents this material in textbook form for the first time.

Lectures On Quantum State Estimation

Series in Computational Biophysics

Multiscale methods are ideally suited to simulate the processes at work in many biomolecular systems, which often span a large range of time and length scales. Multiscale Methods in Molecular Biophysics highlights the advantages of these methods for integrating different levels of detail in a single simulation setting. It covers the practical methodology and successful applications in areas such as enzyme catalysis, protein folding, and ligand binding. The book is divided into three main sections: combination quantum and classical (atomistic) descriptions, approaches that combine atomistic and coarse-grained level of details, and multiscale methods where the resolution coupling is between global collective coordinates and local details.

Multiscale methods are ideally suited to simulate the processes at work in many biomolecular systems, which often span a large range of time and length scales. Multiscale Methods in Molecular Biophysics highlights the advantages of these methods for integrating different levels of detail in a single simulation setting. It covers the practical methodology and successful applications in areas such as enzyme catalysis, protein folding, and ligand binding. The book is divided into three main sections: combination quantum and classical (atomistic) descriptions, approaches that combine atomistic and coarse-grained level of details, and multiscale methods where the resolution coupling is between global collective coordinates and local details.

Multiscale Methods in Molecular Biophysics

This book covers the basics of nanotechnology and its role in biomedical engineering. It clubs different applications of nanotechnology in medicine, disease diagnostics, artificial implants; nano-enabled implantable devices and nanorobots as future mode of treatment of various diseases. It provides a comprehensive overview to the reader about the basics of above areas as well as advanced implementation strategies. Case studies included in the book will help readers get a proper understanding of the subject and how nanotechnology is a boon for medical and bioengineering.

This book covers the basics of nanotechnology and its role in biomedical engineering. It clubs different applications of nanotechnology in medicine, disease diagnostics, artificial implants; nano-enabled implantable devices and nanorobots as future mode of treatment of various diseases. It provides a comprehensive overview to the reader about the basics of above areas as well as advanced implementation strategies. Case studies included in the book will help readers get a proper understanding of the subject and how nanotechnology is a boon for medical and bioengineering.

Many-Body Green's Functions for Time-Dependent Problems

Bibliografische Angaben

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Bibliografische Angaben

Schlagworte

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