John Glaser – författare

An up-to-date, practical guide on upgrading from silicon to GaN, and how to use GaN transistors in power conversion systems design This updated, third edition of a popular book on GaN transistors for efficient power conversion has been substantially expanded to keep students and practicing power conversion engineers ahead of the learning curve in GaN technology advancements. Acknowledging that GaN transistors are not one-to-one replacements for the current MOSFET technology, this book serves as a practical guide for understanding basic GaN transistor construction, characteristics, and applications. Included are discussions on the fundamental physics of these power semiconductors, layout, and other circuit design considerations, as well as specific application examples demonstrating design techniques when employing GaN devices.GaN Transistors for Efficient Power Conversion, 3rd Edition brings key updates to the chapters of Driving GaN Transistors; Modeling, Simulation, and Measurement of GaN Transistors; DC-DC Power Conversion; Envelope Tracking; and Highly Resonant Wireless Energy Transfer. It also offers new chapters on Thermal Management, Multilevel Converters, and Lidar, and revises many others throughout.  Written by leaders in the power semiconductor field and industry pioneers in GaN power transistor technology and applicationsUpdated with 35% new material, including three new chapters on Thermal Management, Multilevel Converters, Wireless Power, and LidarFeatures practical guidance on formulating specific circuit designs when constructing power conversion systems using GaN transistorsA valuable resource for professional engineers, systems designers, and electrical engineering students who need to fully understand the state-of-the-artGaN Transistors for Efficient Power Conversion, 3rd Edition is an essential learning tool and reference guide that enables power conversion engineers to design energy-efficient, smaller, and more cost-effective products using GaN transistors.

An up-to-date and concise review of GaN transistor design and applications In the newly revised fourth edition of GaN Power Devices for Efficient Power Conversion, a team of distinguished researchers and practicing engineers deliver a concise and effective new guide to designing small, energy-efficient, and inexpensive products with GaN transistors. This new edition covers all relevant new GaN technology advancements, allowing students and practicing engineers to get, and stay ahead of, the curve with GaN device and circuit technology. You’ll explore applications including DC to DC converters, solar inverters, motor drive controllers, satellite electronics, and LiDAR devices. The 4th edition offers critical updates for space applications, vertical GaN, and driving transistors and integrated circuits. New chapters on reliability testing advancements, device wear out mechanisms, thermal management, and the latest developments in monolithic integration round out the book. Readers will also find: The latest updates on significant technology improvements, like integrated circuits, reliability studies, and new applicationsComprehensive explorations of integrated circuit construction, characteristics, reliability results, and applicationsPractical discussions of specific circuit designs, layout, and thermal dissipation when designing power conversion systemsChapters written by practicing expert leaders in the power semiconductor field and industry pioneersPerfect for practicing power conversion engineers, GaN Power Devices for Efficient Power Conversion will also benefit electrical engineering students and device scientists in the field of power electronics.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world’s leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas.Providing a comprehensive overview of the current and future uses of Artificial Intelligence (AI) in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizationsKey Features:Advises healthcare executives on how to effectively leverage AI to advance their strategies and plans and support digital transformationDiscusses AI governance, change management, workforce management and the organization of AI experimentation and implementationAnalyzes AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operationsProvides risk mitigation approaches to address potential AI algorithm problems, liability and regulationEssential reading for policymakers, clinical executives and consultants in healthcare, this Advanced Introduction explores how to successfully integrate AI into healthcare organizations and will also prove invaluable to students and scholars interested in technological innovations in healthcare.

Elgar Advanced Introductions are stimulating and thoughtful introductions to major fields in the social sciences, business and law, expertly written by the world’s leading scholars. Designed to be accessible yet rigorous, they offer concise and lucid surveys of the substantive and policy issues associated with discrete subject areas.Providing a comprehensive overview of the current and future uses of Artificial Intelligence (AI) in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizationsKey Features:Advises healthcare executives on how to effectively leverage AI to advance their strategies and plans and support digital transformationDiscusses AI governance, change management, workforce management and the organization of AI experimentation and implementationAnalyzes AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operationsProvides risk mitigation approaches to address potential AI algorithm problems, liability and regulationEssential reading for policymakers, clinical executives and consultants in healthcare, this Advanced Introduction explores how to successfully integrate AI into healthcare organizations and will also prove invaluable to students and scholars interested in technological innovations in healthcare.