Ancillary Transprcs Pkg Eng Mat Science
Published in May 1996
Other
OHP transparencies
978-0-12-524997-3 (ISBN)
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Professional and scholarly
Weight
908 gr
ISBN-13
978-0-12-524997-3 (9780125249973)
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Schweitzer Classification
Person
Dr. Milton Ohring, author of two previously acclaimed Academic Press books,The Materials Science of Thin Films (l992) and Engineering Materials Science (1995), has taught courses on reliability and failure in electronics at Bell Laboratories (AT&T and Lucent Technologies). From this perspective and the well-written tutorial style of the book, the reader will gain a deeper physical understanding of failure mechanisms in electronic materials and devices; acquire skills in the mathematical handling of reliability data; and better appreciate future technology trends and the reliability issues they raise.
Dr. Milton Ohring, author of two previously acclaimed Academic Press books,The Materials Science of Thin Films (l992) and Engineering Materials Science (1995), has taught courses on reliability and failure in electronics at Bell Laboratories (AT&T and Lucent Technologies). From this perspective and the well-written tutorial style of the book, the reader will gain a deeper physical understanding of failure mechanisms in electronic materials and devices; acquire skills in the mathematical handling of reliability data; and better appreciate future technology trends and the reliability issues they raise.
Dr. Milton Ohring, author of two previously acclaimed Academic Press books,The Materials Science of Thin Films (l992) and Engineering Materials Science (1995), has taught courses on reliability and failure in electronics at Bell Laboratories (AT&T and Lucent Technologies). From this perspective and the well-written tutorial style of the book, the reader will gain a deeper physical understanding of failure mechanisms in electronic materials and devices; acquire skills in the mathematical handling of reliability data; and better appreciate future technology trends and the reliability issues they raise.