Practicing designers, students, and educators in the semiconductor field face an ever expanding portfolio of MOSFET models. In "Compact MOSFET Models for VLSI Design," A.B. Bhattacharyya presents a unified perspective on the topic, allowing the practitioner to view and interpret device phenomena concurrently using different modeling strategies. Readers will learn to link device physics with model parameters, helping to close the gap between device understanding and its use for optimal circuit performance. Bhattacharyya also lays bare the core physical concepts that will drive the future of VLSI development, allowing readers to stay ahead of the curve, despite the relentless evolution of new models.
Adopts a unified approach to guide students through the confusing array of MOSFET models Links MOS physics to device models to prepare practitioners for real-world design activities Helps fabless designers bridge the gap with off-site foundries Features rich coverage of: quantum mechanical related phenomena Si-Ge strained-Silicon substrate non-classical structures such as Double Gate MOSFETs Presents topics that will prepare readers for long-term developments in the field Includes solutions in every chapter Can be tailored for use among students and professionals of many levels Comes with MATLAB code downloads for independent practice and advanced study
This book is essential for students specializing in VLSI Design and indispensible for design professionals in the microelectronics and VLSI industries. Written to serve a number of experience levels, it can be used either as a course textbook or practitioner's reference.
Access the MATLAB code, solution manual, and lecture materials at the companion website: www.wiley.com/go/bhattacharyya
Coupled climate system models are of central importance for climate studies. A new model known as FGOALS ( the Flexible Global Ocean-Atmosphere-Land System model), has been developed by the Sate Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences (LASG/IAP, CAS), a first-tier national geophysical laboratory. It serves as a powerful tool, both for deepening our understanding of fundamental mechanisms of the climate system and for making decadal prediction and scenario projections of future climate change. "Flexible Global Ocean-Atmosphere-Land System Model: A Modeling Tool for the Climate Change Research Community" is the first book to offer systematic evaluations of this model's performance. It is comprehensive in scope, covering both developmental and application-oriented aspects of this climate system model. It also provides an outlook of future development of FGOALS and offers an overview of how to employ the model. It represents a valuable reference work for researchers and professionals working within the related areas of climate variability and change. Prof. Tianjun Zhou, Yongqiang Yu, Yimin Liu and Bin Wang work at LASG, the Institute of Atmospheric Physics, Chinese Academy of Sciences, China.
This piece of work began life as a doctoral thesis written at the University of Texas between 1976 and 1978. Now after a year in Dublin it is to become a book. Of the many people in the Department of Linguistics at Texas who shaped my interests and who helped me through the writing of the thesis, I must single out Lee Baker, Lauri Karttunen, Bill Ladusaw, Sue Schmerling and Stanley Peters for special gratitude. All of them have provided specific suggestions which have improved this work, but perhaps more .importantly they provided a uniquely stimulating and harmonious environment in which to work, and a demanding set of professional standards to live up to. To Ken Hale lowe a particular debt of gratitude - for two years of encour- agement and suggestions, and particularly for a set of detailed comments on an earlier version of the book which led to many changes for the better. I also thank my friends Per-Kristian Halvorsen and Elisabet Engdahl, both of whom took the trouble to provide me with detailed criticisms and comments. In Dublin I am grateful to the School of Celtic Studies of the Institute for Advanced Studies for giving me the opportunity of teaching a seminar on many of the topics covered in the book and of exposing the material to people whose knowledge of the language is unequalled. Donal 6 Baoill and Liam Breatnach have been particularly helpful.
"Students will find Rita Debnath's Professional Skills in Nursing a great introduction to the challenges of developing their clinical skills." - Mike Parkinson, Edinburgh Napier University What do I need to learn in order to progress through my course? How do I achieve the best possible patient-care? Professional Skills for Nurses answers both of these questions and supports the development of key nursing skills underpinned by theory. Designed specifically to meet the needs of nursing students in the initial stages of training, the book focuses on the essential knowledge and skills needed for effective patient-care while at the same time helping students to achieve the NMC outcomes required for entry into branch programmes. Each chapter focuses on a key aspect of nursing care backed up with - practical tips, - examples drawn from all branches of nursing, and - a range of study activities to help you reflect on your learning and get the most from practice placements. Key themes in healthcare such as ethics, evidence-based practice and health promotion are discussed throughout the book, highlighting how these relate to everyday nursing practice. Focusing on the core skills covered in the initial stages of training, Professional Skills in Nursing is the ideal introduction for students during the Common Foundation Programme.
Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, Internet activities, etc.). A quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable). The volume is aimed to exploit the conceptual and algorithmic framework of Computational Intelligence (CI) to form a cohesive and comprehensive environment for building models of time series. The contributions covered in the volume are fully reflective of the wealth of the CI technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. It reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. This volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. Owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.
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