Atomistic model of void nucleation and growth during electromigration
Richards, David Frank
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/31231
Description
Title
Atomistic model of void nucleation and growth during electromigration
Author(s)
Richards, David Frank
Issue Date
1999
Doctoral Committee Chair(s)
Adams, James B.
Department of Study
Physics
Discipline
Physics
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
atomistic model
void nucleation
electromigration
reliability problems
semiconductors
Embedded Atom Method
Kinetic Monte Carlo method
Language
en
Abstract
Void formation due to electromigration is among the most significant reliability problems
in the semiconductor industry. To help gain a better understanding of the atomistic
processes involved in void formation under electromigration conditions we have used
the Embedded Atom Method (BAM) to determine the structure and formation energies of
small voids (up to 20 vacancies) in aluminum and copper both in bulk and at several special
grain boundaries. We find that small voids at grain boundaries have a tendency to form
diffuse clusters rather than voids with hollow cores. We also show that void energies are
described qualitatively by a simple geometric model involving surface and grain boundary
energies.
We have used the results of our BAM calculations to guide the construction of a kinetic
Monte Carlo (KMC) model of void nucleation and growth during electromigration. Our
KMC code includes the effects of grain boundaries, grain boundary junctions, stress biased
vacancy formation, current biased vacancy diffusion, and vacancy-void interactions.
The code can simulate micron scale interconnects for time scales of seconds. We give a
complete description of the KMC model and the rates for all events and demonstrate its
potential with proof-of-principle calculations.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.