Skip to main content
×
Home

Preparation and Use of Chip Capacitors in Ultra-Dense Multi-Chip Modules

  • D. Pryputniewicz (a1), C. Kondoleon (a1), J. Haley (a1) and T. Marinis (a1)
Abstract
ABSTRACT

Draper Laboratory designs and produces ultra-dense multi-chip modules that achieve an integration density, which is only exceeded by that of custom ASIC chips. These modules are fabricated by tiling an adhesive coated substrate with bare integrated circuit chips and passive components that are thinned to 150 microns thick. Multiple layers of thin film copper conductors, supported on Kapton film dielectric, are used to route signals between these components. Connections to their I/O pads and between signal layers are made through laser drilled vias, which are copper plated. The various types of capacitors used in modules for RF applications present several fabrication challenges. In comparison to active IC devices, capacitors have wider dimensional tolerances, are more easily damaged by mechanical handling, and are more susceptible to damage during laser drilling of vias. This paper will discuss these issues and the approaches that have been taken to address them.

Copyright
References
Hide All
1.LeBlanc J. J., et. al., Proceedings IMAPS HDI 2000, Denver, Colorado, (2000).
2.Bityurin N. and Malyshev A., J. Appl. Phys., 92 (1), 605 (2002)
3.D'Couto G. C. and Babu S. V., J. Appl. Phys., 76 (5), 3052 (1994)
4.Lee K. C., Chan C. S., and Cheung N. H., J. Appl. Phys., 79 (8), 3900 (1996)
5.Zhang X. et. al., Applied Physics, A64, 545 (1997)
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

MRS Online Proceedings Library (OPL)
  • ISSN: -
  • EISSN: 1946-4274
  • URL: /core/journals/mrs-online-proceedings-library-archive
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 2 *
Loading metrics...

Abstract views

Total abstract views: 19 *
Loading metrics...

* Views captured on Cambridge Core between September 2016 - 19th November 2017. This data will be updated every 24 hours.