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Computational Studies of New Materials II
Author: Thomas F. George
Publisher: World Scientific
Published: 2011
Total Pages: 540
ISBN-13: 9814287180
DOWNLOAD EBOOK →Computational Studies of New Materials was published by World Scientific in 1999 and edited by Daniel Jelski and Thomas F George. Much has happened during the past decade. Advances have been made on the same materials discussed in the 1999 book, including fullerenes, polymers and nonlinear optical processes in materials, which are presented in this 2010 book. In addition, different materials and topics are comprehensively covered, including nanomedicine, hydrogen storage materials, ultrafast laser processes, magnetization and light-emitting diodes.
Computational Studies Of New Materials
Author: Thomas F George
Publisher: World Scientific
Published: 1999-03-26
Total Pages: 464
ISBN-13: 9814496693
DOWNLOAD EBOOK →This important book is a collection of articles discussing computational studies of new materials. It is intended not only for workers in computational materials science, but also for people with a broader interest in the materials being discussed. The emphasis, therefore, is on the materials, and not primarily on the development of new computational tools. The specific topics covered are: surface-induced optical effects; adsorbates; crystals; semiconductors; clusters; fullerenes; fractals; and liquid helium.
Computational Materials Science
Author: June Gunn Lee
Publisher: CRC Press
Published: 2016-11-25
Total Pages: 376
ISBN-13: 1000005232
DOWNLOAD EBOOK →This book covers the essentials of Computational Science and gives tools and techniques to solve materials science problems using molecular dynamics (MD) and first-principles methods. The new edition expands upon the density functional theory (DFT) and how the original DFT has advanced to a more accurate level by GGA+U and hybrid-functional methods. It offers 14 new worked examples in the LAMMPS, Quantum Espresso, VASP and MedeA-VASP programs, including computation of stress-strain behavior of Si-CNT composite, mean-squared displacement (MSD) of ZrO2-Y2O3, band structure and phonon spectra of silicon, and Mo-S battery system. It discusses methods once considered too expensive but that are now cost-effective. New examples also include various post-processed results using VESTA, VMD, VTST, and MedeA.
Computational Materials Science
Author: Wofram Hergert
Publisher: Springer Science & Business Media
Published: 2004-04-29
Total Pages: 346
ISBN-13: 9783540210511
DOWNLOAD EBOOK →Computational Physics is now a discipline in its own right, comparable with theoretical and experimental physics. Computational Materials Science concentrates on the calculation of materials properties starting from microscopic theories. It has become a powerful tool in industrial research for designing new materials, modifying materials properties and optimizing chemical processes. This book focusses on the application of computational methods in new fields of research, such as nanotechnology, spintronics and photonics, which will provide the foundation for important technological advances in the future. Methods such as electronic structure calculations, molecular dynamics simulations and beyond are presented, the discussion extending from the basics to the latest applications.
Computational Nanomedicine and Nanotechnology
Author: Renat R. Letfullin
Publisher: Springer
Published: 2017-02-10
Total Pages: 682
ISBN-13: 3319435779
DOWNLOAD EBOOK →This textbook, aimed at advanced undergraduate and graduate students, introduces the basic knowledge required for nanomedicine and nanotechnology, and emphasizes how the combined use of chemistry and light with nanoparticles can serve as treatments and therapies for cancer. This includes nanodevices, nanophototherapies, nanodrug design, and laser heating of nanoparticles and cell organelles. In addition, the book covers the emerging fields of nanophotonics and nanoplasmonics, which deal with nanoscale confinement of radiation and optical interactions on a scale much smaller than the wavelength of the light. The applications of nanophotonics and nanoplasmonics to biomedical research discussed in the book range from optical biosensing to photodynamic therapies.Cutting-edge and reflective of the multidisciplinary nature of nanomedicine, this book effectively combines knowledge and modeling from nanoscience, medicine, biotechnology, physics, optics, engineering, and pharmacy in an easily digestible format. Among the topics covered in-depth are:• The structure of cancer cells and their properties, as well as techniques for selective targeting of cancer and gene therapy.• Nanoplasmonics: Lorentz-Mie simulations of optical properties of nanoparticles and the use of plasmonic nanoparticles in diagnosis and therapy.• Nanophotonics: short and ultrashort laser pulse interactions with nanostructures, time and space simulations of thermal fields in and around the nanobioparticles, and nanoclusters heated by radiation.• Modeling of soft and hard biological tissue ablation by activated nanoparticles, as well as optical, thermal, kinetic, and dynamic modeling.• Detection techniques, including the design and methods of activation of nanodrugs and plasmon resonance detection techniques.• Design and fabrication of nanorobots and nanoparticles.• Effective implementation of nanotherapy treatments.• Nanoheat transfer, particularly the heating and cooling kinetics of nanoparticles.• ...and more!Each chapter contains a set of lectures in the form of text for student readers and PowerPoints for use by instructors, as well as homework exercises. Selected chapters also contain computer practicums, including Maple codes and worked-out examples. This book helps readers become more knowledgeable and versant in nanomedicine and nanotechnology, inspires readers to work creatively and go beyond the ideas and topics presented within, and is sufficiently comprehensive to be of value to research scientists as well as students.
Computational Materials Science
Author: Kaoru Ohno
Publisher: Springer
Published: 2018-04-14
Total Pages: 427
ISBN-13: 3662565420
DOWNLOAD EBOOK →This textbook introduces modern techniques based on computer simulation to study materials science. It starts from first principles calculations enabling to calculate the physical and chemical properties by solving a many-body Schroedinger equation with Coulomb forces. For the exchange-correlation term, the local density approximation is usually applied. After the introduction of the first principles treatment, tight-binding and classical potential methods are briefly introduced to indicate how one can increase the number of atoms in the system. In the second half of the book, Monte Carlo simulation is discussed in detail. Problems and solutions are provided to facilitate understanding. Readers will gain sufficient knowledge to begin theoretical studies in modern materials research. This second edition includes a lot of recent theoretical techniques in materials research. With the computers power now available, it is possible to use these numerical techniques to study various physical and chemical properties of complex materials from first principles. The new edition also covers empirical methods, such as tight-binding and molecular dynamics.
Introduction to Computational Materials Science
Author: Richard LeSar
Publisher: Cambridge University Press
Published: 2013-03-28
Total Pages:
ISBN-13: 1107328144
DOWNLOAD EBOOK →Emphasising essential methods and universal principles, this textbook provides everything students need to understand the basics of simulating materials behaviour. All the key topics are covered from electronic structure methods to microstructural evolution, appendices provide crucial background material, and a wealth of practical resources are available online to complete the teaching package. Modelling is examined at a broad range of scales, from the atomic to the mesoscale, providing students with a solid foundation for future study and research. Detailed, accessible explanations of the fundamental equations underpinning materials modelling are presented, including a full chapter summarising essential mathematical background. Extensive appendices, including essential background on classical and quantum mechanics, electrostatics, statistical thermodynamics and linear elasticity, provide the background necessary to fully engage with the fundamentals of computational modelling. Exercises, worked examples, computer codes and discussions of practical implementations methods are all provided online giving students the hands-on experience they need.
Integrated Computational Materials Engineering
Author: National Research Council
Publisher: National Academies Press
Published: 2008-10-24
Total Pages: 152
ISBN-13: 0309119995
DOWNLOAD EBOOK →Integrated computational materials engineering (ICME) is an emerging discipline that can accelerate materials development and unify design and manufacturing. Developing ICME is a grand challenge that could provide significant economic benefit. To help develop a strategy for development of this new technology area, DOE and DoD asked the NRC to explore its benefits and promises, including the benefits of a comprehensive ICME capability; to establish a strategy for development and maintenance of an ICME infrastructure, and to make recommendations about how best to meet these opportunities. This book provides a vision for ICME, a review of case studies and lessons learned, an analysis of technological barriers, and an evaluation of ways to overcome cultural and organizational challenges to develop the discipline.
Computational Materials Discovery
Author: Artem Oganov
Publisher: Royal Society of Chemistry
Published: 2018-10-30
Total Pages: 456
ISBN-13: 1782629610
DOWNLOAD EBOOK →New technologies are made possible by new materials, and until recently new materials could only be discovered experimentally. Recent advances in solving the crystal structure prediction problem means that the computational design of materials is now a reality. Computational Materials Discovery provides a comprehensive review of this field covering different computational methodologies as well as specific applications of materials design. The book starts by illustrating how and why first-principle calculations have gained importance in the process of materials discovery. The book is then split into three sections, the first exploring different approaches and ideas including crystal structure prediction from evolutionary approaches, data mining methods and applications of machine learning. Section two then looks at examples of designing specific functional materials with special technological relevance for example photovoltaic materials, superconducting materials, topological insulators and thermoelectric materials. The final section considers recent developments in creating low-dimensional materials. With contributions from pioneers and leaders in the field, this unique and timely book provides a convenient entry point for graduate students, researchers and industrial scientists on both the methodologies and applications of the computational design of materials.
