Microenvironmental Moisture Research.

Abstract

The advancement of the science of reliability physics is the foundation for increased microelectronic circuit reliability. A common denominator for many types of failure mechanisms in integrated circuits is water trapped within the package cavity. Because of the nature of water in all types of circuits, an understanding of the fundamental interaction of water with package materials is essential. The research reported here was aimed at elucidating the nature of its sources, its dynamics of interaction, and ultimately its role in failure mechanisms. The nature and past history of surfaces is well known to influence its adsorption/desorption properties particularly with respect to water. It is necessary, therefore, to establish the chemical composition and morphology of the surface under investigation. All test structures and their treatment should closely approximate those found in production run packages in order to infer parallel response characteristics. The preparation and treatment of test samples for use in the work reported herein was done so as to simulate various stages of manufacturing. Comparison to production samples was done where possible. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1985
Accession Number
ADA157059

Entities

People

  • J. H. Linn
  • J. M. Ammons
  • M. G. Kovac
  • W. E. Swartz

Organizations

  • University of South Florida

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Adsorption
  • Chemical Synthesis
  • Chemistry
  • Desorption
  • Electrical Engineering
  • Engineering
  • Failure Mode And Effect Analysis
  • Fluoropolymers
  • Integrated Circuits
  • Manufacturing
  • Materials
  • Measurement
  • Metals
  • Oxide Films
  • Production
  • Semiconductor Devices
  • Transition Metals

Fields of Study

  • Engineering

Readers

  • Geotechnical Engineering.
  • Software Engineering
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Microelectronics