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(Ebook) Reliability Prediction for Microelectronics by Joseph B. Bernstein, Alain A. Bensoussan, Emmanuel Bender ISBN 9781394210954, 1394210957

  • SKU: EBN-56266990
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Authors:Joseph B. Bernstein, Alain A. Bensoussan, Emmanuel Bender
Pages:401 pages.
Year:2024
Editon:1
Publisher:Wiley & Sons
Language:english
File Size:31.59 MB
Format:pdf
ISBNS:9781394210954, 1394210957
Categories: Ebooks

Product desciption

(Ebook) Reliability Prediction for Microelectronics by Joseph B. Bernstein, Alain A. Bensoussan, Emmanuel Bender ISBN 9781394210954, 1394210957

Reliability evaluation is a critical aspect of engineering, without which safe performance within desired parameters over the lifespan of machines cannot be guaranteed. With microelectronics in particular, the challenges to evaluating reliability are considerable, and statistical methods for creating microelectronic reliability standards are complex. With nano-scale microelectronic devices increasingly prominent in modern life, it has never been more important to understand the tools available to evaluate reliability.Reliability Prediction for Microelectronics meets this need with a cluster of tools built around principles of reliability physics and the concept of remaining useful life (RUL). It takes as its core subject the ‘physics of failure’, combining a thorough understanding of conventional approaches to reliability evaluation with a keen knowledge of their blind spots. It equips engineers and researchers with the capacity to overcome decades of errant reliability physics and place their work on a sound engineering footing.Reliability Prediction for Microelectronics readers will also find:    Focus on the tools required to perform reliability assessments in real operating conditions    Detailed discussion of topics including failure foundation, reliability testing, acceleration factor calculation, and more    New multi-physics of failure on DSM technologies, including TDDB, EM, HCI, and BTIReliability Prediction for Microelectronics is ideal for reliability and quality engineers, design engineers, and advanced engineering students looking to understand this crucial area of product design and testing.
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