MicroLED devices and systems /

MicroLEDs Devices and Systems introduces a theoretical framework, validated by experiments, in the form of a number of white-box analytic or semi-analytic mathematical models that are based on physics. It aims to assist in the design and manufacture of the best MicroLED devices for various applicati...

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Bibliographic Details
Main Author: Ahmed, Khaled (Author)
Format: Book
Language:English
Published: Boston : Artech House, [2024].
Series:Artech House applied photonics library.
Subjects:

MARC

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504 |a Includes bibliographical references and index. 
520 |a MicroLEDs Devices and Systems introduces a theoretical framework, validated by experiments, in the form of a number of white-box analytic or semi-analytic mathematical models that are based on physics. It aims to assist in the design and manufacture of the best MicroLED devices for various applications, such as mobile displays, television displays, augmented reality and data communication systems. This resource demonstrates the importance of MicroLEDs in addressing power consumption in mobile displays, brightness in television displays, augmented reality and parallel optical interconnect in data centers and artificial intelligence computer systems. With the mobile display industry's revenue exceeding  |5 0 billion in 2020 and projected to be a significant portion of the display market by 2026, the importance of MicroLED technology is highlighted in this resource. It provides models for display systems and data communication systems to help system engineers understand and assess the gaps between commercially available MicroLEDs versus what is needed for a specific system. Furthermore, the book addresses the emerging role of MicroLEDs in data communication, highlighting their potential to improve energy consumption, data rate, latency and cost in semiconductor chip communication. This book is intended for engineers who desire to begin with physics-based intuition to design MicroLED-based systems within 80% accuracy, then follow with running experiments and more sophisticated models to capture the top 20% of design accuracy. This 80-20 approach is proven to work in many fields including the semiconductor industry. 
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