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Fundamentals and Applications of Nonlinear Nanophotonics
Fundamentals and Applications of Nonlinear Nanophotonics includes key concepts of nonlinear nanophotonics, computational and modeling techniques to design these materials, and the latest advances. This book addresses the scientific literature on nanophotonics while most existing books focus almost exclusively on the linear aspects of light-matter interaction at the nanoscale. Sections cover nonlinear optics of sub-wavelength photonic nanostructured materials, review nonlinear optics of bound-states in the continuum, nonlinear optics of chiral plasmonic metasurfaces, nonlinear hyperbolic nanomaterials, nonlinear topological photonics, plasmonic lattice solitons, and more. This book is suitable for academics and industry professionals working in the discipline of materials science, engineering and nanotechnology. - Discusses advances in nonlinear optics research such as plasmonics, topological photonics and emerging materials - Reviews the latest computational methods to model and design nonlinear photonic materials - Introduces key principles of advanced concepts in nonlinear optics of bound-states in a continuum and symmetries in nonlinear nano-optics
Advances in Nonlinear Photonics
Advances in Nonlinear Photonics combines fundamental principles with an overview of the latest developments. The book is suitable for the multidisciplinary audience of photonics researchers and practitioners in academia and R&D, including materials scientists and engineers, applied physicists, chemists, etc. As nonlinear phenomena are at the core of photonic devices and may enable future applications such as all-optical switching, all-optical signal processing and quantum photonics, this book provides an overview of key concepts. In addition, the book reviews the most important advances in the field and how nonlinear processes may be exploited in different photonic applications. - Introduces fundamental principles of nonlinear phenomena and their application in materials and devices - Reviews and provides definitions of the latest research directions in the field of nonlinear photonics - Discusses the most important developments in materials and applications, including future prospects
Arts & Humanities Citation Index
A multidisciplinary index covering the journal literature of the arts and humanities. It fully covers 1,144 of the world's leading arts and humanities journals, and it indexes individually selected, relevant items from over 6,800 major science and social science journals.
Statistical Inference from High Dimensional Data
• Real-world problems can be high-dimensional, complex, and noisy • More data does not imply more information • Different approaches deal with the so-called curse of dimensionality to reduce irrelevant information • A process with multidimensional information is not necessarily easy to interpret nor process • In some real-world applications, the number of elements of a class is clearly lower than the other. The models tend to assume that the importance of the analysis belongs to the majority class and this is not usually the truth • The analysis of complex diseases such as cancer are focused on more-than-one dimensional omic data • The increasing amount of data thanks to the reduction of cost of the high-throughput experiments opens up a new era for integrative data-driven approaches • Entropy-based approaches are of interest to reduce the dimensionality of high-dimensional data
Applying Reinforcement Learning on Real-World Data with Practical Examples in Python
Reinforcement learning is a powerful tool in artificial intelligence in which virtual or physical agents learn to optimize their decision making to achieve long-term goals. In some cases, this machine learning approach can save programmers time, outperform existing controllers, reach super-human performance, and continually adapt to changing conditions. It has shown human level performance on a number of tasks (REF) and the methodology for automation in robotics and self-driving cars (REF). This book argues that these successes show reinforcement learning can be adopted successfully in many different situations, including robot control, stock trading, supply chain optimization, and plant con...
Genomic Prediction of Complex Traits
This volume explores the conceptual framework and the practical issues related to genomic prediction of complex traits in human medicine and in animal and plant breeding. The book is organized into five parts. Part One reminds molecular genetics approaches intending to predict phenotypic variations. Part Two presents the principles of genomic prediction of complex traits, and reviews factors that affect its reliability. Part Three describes genomic prediction methods, including machine-learning approaches, accounting for different degree of biological complexity, and reviews the associated computer-packages. Part Four reports on emerging trends such as phenomic prediction and incorporation i...
Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan
Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners’ journey...
Vitamins and the Immune System
First published in 1943, Vitamins and Hormones is the longest-running serial published by Academic Press. The Editorial Board now reflects expertise in the field of hormone action, vitamin action, X-ray crystal structure, physiology and enzyme mechanisms. Under the capable and qualified editorial leadership of Dr. Gerald Litwack, Vitamins and Hormones continues to publish cutting-edge reviews of interest to endocrinologists, biochemists, nutritionists, pharmacologists, cell biologists and molecular biologists. Others interested in the structure and function of biologically active molecules like hormones and vitamins will, as always, turn to this series for comprehensive reviews by leading contributors to this and related disciplines. This volume focuses on vitamins and the immune system. Longest running series published by Academic Press Contributions by leading international authorities
Guided-Wave Optics
This book is a printed edition of the Special Issue "Guided-Wave Optics" that was published in Applied Sciences
