Computer simulation is an indispensable research tool in modeling, understanding and predicting nanoscale phenomena. However, the advanced computer codes used by researchers are too complicated for graduate students wanting to understand computer simulations of physical systems. This book gives students the tools to develop their own codes. Describing advanced algorithms, the book is ideal for students in computational physics, quantum mechanics, atomic and molecular physics, and condensed matter theory. It contains a wide variety of practical examples of varying complexity to help readers at all levels of experience. An algorithm library in Fortran 90, available online at www.cambridge.org/9781107001701, implements the advanced computational approaches described in the text to solve physical problems.
This book provides a comprehensive overview of the computational physics for nanoscience and nanotechnology. Based on MATLAB and the C++ distributed computing paradigm, the book gives instructive explanations of the underlying physics for mesoscopic systems with many listed programs that readily compute physical properties into nanoscales. Many generated graphical pictures demonstrate not only the principles of physics, but also the methodology of computing.
This book provides innovative chapters covering new methodologies and important applications in the fields of nanoscience and computational chemistry. The book offers scope for academics, researchers, and engineering professionals to present their research and development works that have potential for applications in several disciplines of nano and
This new volume presents a wealth of practical experience and research on new methodologies and important applications in chemical nanotechnology. It also includes small-scale nanotechnology-related projects that have potential applications in several disciplines of chemistry and nanotechnology. In this book, contributions range from new methods to novel applications of existing methods to gain understanding of the material and/or structural behavior of new and advanced systems. Topics cover computational methods in chemical engineering and chemoinformatics, studies of some of physico-chemical properties of several important nanoalloy clusters, the use of 3D reconstruction of nanofibrous membranes, nanotechnology research for green engineering and sustainability, nanofiltration and carbon nanotubes applications in water treatment, and much more.
Applications of nanotechnology continue to fuel significant innovations in areas ranging from electronics, microcomputing, and biotechnology to medicine, consumer supplies, aerospace, and energy production. As progress in nanoscale science and engineering leads to the continued development of advanced materials and new devices, improved methods of modeling and simulation are required to achieve a more robust quantitative understanding of matter at the nanoscale. Computational Nanotechnology: Modeling and Applications with MATLAB® provides expert insights into current and emerging methods, opportunities, and challenges associated with the computational techniques involved in nanoscale research. Written by, and for, those working in the interdisciplinary fields that comprise nanotechnology—including engineering, physics, chemistry, biology, and medicine—this book covers a broad spectrum of technical information, research ideas, and practical knowledge. It presents an introduction to computational methods in nanotechnology, including a closer look at the theory and modeling of two important nanoscale systems: molecular magnets and semiconductor quantum dots. Topics covered include: Modeling of nanoparticles and complex nano and MEMS systems Theory associated with micromagnetics Surface modeling of thin films Computational techniques used to validate hypotheses that may not be accessible through traditional experimentation Simulation methods for various nanotubes and modeling of carbon nanotube and silicon nanowire transistors In regard to applications of computational nanotechnology in biology, contributors describe tracking of nanoscale structures in cells, effects of various forces on cellular behavior, and use of protein-coated gold nanoparticles to better understand protein-associated nanomaterials. Emphasizing the importance of MATLAB for biological simulations in nanomedicine, this wide-ranging survey of computational nanotechnology concludes by discussing future directions in the field, highlighting the importance of the algorithms, modeling software, and computational tools in the development of efficient nanoscale systems.
The expanding field of nanotechnology is now one of the most promising areas of science. However, because some nanoparticles can have a negative impact on human health and the environment, the design of novel materials must always be accompanied by a comprehensive risk assessment. Until now, the information on the methods available has been fragmented and incomplete. This book is the first to provide a comprehensive review of recent progress and challenges in the risk assessment of nanomaterials by empirical and computational techniques. Topics covered include: benefits versus risks, carbon based nanomaterials, environmental detection and quantitative analysis, chemometric modelling, human exposure assessment, toxicity testing, nano-QSAR, risk assessment strategies, policy and regulatory frameworks.
Nanoscience is one of the most exciting areas of modern physical science as it encompasses a range of techniques rather than a single discipline. It stretches across the whole spectrum of science including: medicine and health, physics, engineering and chemistry. Providing a deep understanding of the behaviour of matter at the scale of individual atoms and molecules, it provides a crucial step towards future applications of nanotechnology. The remarkable improvements in both theoretical methods and computational techniques make it possible for modern computational nanoscience to achieve a new level of chemical accuracy. It is now a discipline capable of leading and guiding experimental efforts rather than just following others. Computational Nanoscience addresses modern challenges in computational science, within the context of the rapidly evolving field of nanotechnology. It satisfies the need for a comprehensive, yet concise and up-to-date, survey of new developments and applications presented by the world's leading academics. It documents major, recent advances in scientific computation, mathematical models and theory development that specifically target the applications in nanotechnology. Suitable for theoreticians, researchers and students, the book shows readers what computational nanoscience can achieve, and how it may be applied in their own work. The twelve chapters cover topics including the concepts behind recent breakthroughs, the development of cutting edge simulation tools, and the variety of new applications.
While its results normally complement the information obtained by chemical experiments, computer computations can in some cases predict unobserved chemical phenomena Electronic-Structure Computational Methods for Large Systems gives readers a simple description of modern electronic-structure techniques. It shows what techniques are pertinent for particular problems in biotechnology and nanotechnology and provides a balanced treatment of topics that teach strengths and weaknesses, appropriate and inappropriate methods. It’s a book that will enhance the your calculating confidence and improve your ability to predict new effects and solve new problems.
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.
The budding field of nanotechnology offers enormous potential for advances in medical science, engineering, transportation, computers, and many other industries. As this growing field solidifies, these technological advances may soon become a reality. Nanoscience and Advancing Computational Methods in Chemistry: Research Progress provides innovative chapters covering the growth of educational, scientific, and industrial research activities among chemical engineers and provides a medium for mutual communication between international academia and the industry. This book publishes significant research reporting new methodologies and important applications in the fields of chemical informatics and discusses latest coverage of chemical databases and the development of new experimental methods.
