|
TOPIC |
SPEAKER |
|
Gerry |
|
|
Alberto Modelli
and Angelo Visconti, ST |
|
|
Andrew Turner, IBM |
|
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Ron Lacoe, Aerospace Corp. |
|
|
Danelle Tanner, Sandia National
Labs |
|
|
Chittor Parthasarathy, ST |
|
|
Larry Stout, Idaho State
Univ. |
|
|
Glenn Alers, Novellus Systems |
|
|
Robin Degraeve, IMEC |
Intrinsic
Limitations on the Performance and Reliability of High-k Gate Dielectrics for Advanced
Electronic Devices
Three
different types of high-k thin film oxides have been considered as
alternative/replacement gate dielectrics for advanced Si
devices for CMOS applications. These are: i)
elemental transition metal/trivalent lanthanide rare earth oxides, with the
leading candidate being HfO2, ii) transition metal silicate and aluminate alloys, with the leading candidate being nitrided Hf silicates, and iii)
transition metal/rare earth complex oxides, with one of the leading candidates
being La aluminate, LaAlO3. Each of these
high-oxide dielectrics is qualitatively different than thermally-grown SiO2
and/or Si oxynitride alloys
that are currently integrated into state of the art CMOS devices, and
integrated circuits. This tutorial will address fundamental differences between
i) the electronic structure of band edge states in
these three different classes of high-k dielectrics with respect to the
corresponding band edge states in SiO2 and Si
oxynitride alloys, and ii) thin film stability as it
relates to chemical phase separation and/or crystallization of the transition
metal silicate and nitrided silicate alloys that
occurs at the temperatures required for process integration of CMOS devices and
integrated circuits/systems. The intrinsic properties of the candidate high-k
alternative gate dielectrics identified above impact primarily on device
performance, but are also important with respect to i)
process integration, including latitude and yield, and ii) accelerated device
testing for projecting device lifetimes, as for example the projected time to
device and circuit breakdown and failure.
Flash
Memory Reliability
Alberto Modelli and Angelo Visconti,
ST Microelectronics (top)
Memory
reliability is a key issue of flash technology. The continuous trend to
increase the storage density is driving the technology close to its physical
limits and new reliability challenges are met.
The
tutorial will discuss the failure mechanisms limiting memory endurance and data
retention. Reference will be done to the two mainstream flash technologies,
considering a floating-gate cell in a NOR- or NAND-type memory array.
The
first part of the tutorial is dedicated to failure modes related to the intrinsic
cell behavior. Classical data loss mechanisms and the degradation of the oxide
properties caused by high-field tunneling or channel hot electron injection
will be examined. The second part deals with single-cell failures, in
particular low-temperature data loss after program/erase cycling, which can be
ascribed to tunnel oxide defects. The nature of the leakage current and its
relation with the Stress-Induced Leakage Current observed in large area
capacitors will be discussed. Design solutions to solve, or at least ease, this
issue will be considered.
A Survey
of Product Reliability in 90nm CMOS and Beyond
While
90nm and 45nm CMOS matures from the lab to the manufacturing floor, the
reliability of the product becomes more important as defect densities and
degradation mechanisms that affect microprocessors may not be observable in
sufficient quantities or magnitude at the macro level. There is a need to
understand that the interaction between design and manufacturing, as it relates
to field reliability, is moving beyond test-site measurements and design
simulation alone.
Understanding
the product reliability and performance metrics through the useful life of the
product is imperative. This often requires knowledge of the most sensitive
circuits and the mechanisms that are most likely to negatively affect them.
Tracking these metrics through an accelerated life stress and evaluating fails
is the best bet for successful product qualification.
Designing
Radiation Hardened CMOS Microelectronic Components at Commercial Foundries:
Space and Terrestrial Radiation Environments and Device and Circuit Techniques
to Mitigate Radiation Effects
Ron Lacoe, Aerospace Corp. (top)
When
using microelectronic components in a radiation environment, such as those
experienced by components in space, components used in nuclear reactors and
components used for high-energy physics experiments, specific degradation
mechanisms must be mitigated to assure proper component performance over the
lifetime of the part. Over the last
thirty years, the preferred method for fabricating radiation-hardened parts has
been by using boutique, dedicated foundries with specialized processes. The approach is often refereed to as
hardening-by-process. However, due to
the small demand for radiation-hardened components and the exponentially
increasing costs of advancing along
MEMS Reliability
Danelle Tanner, Sandia National Labs (top)
The
main thrust in any reliability work is identifying failure modes and
mechanisms. This is especially true for
the new technology of MicroElectroMechanical Systems
(MEMS). This tutorial will include a
brief review of MEMS fabrication methods and identify some commercial
products. We describe some of the
methods developed to measure materials parameters and surface properties to
characterize MEMS devices. Our
reliability methodology employs statistical characterization and testing to
help us identify dominant failure modes.
We strive to determine the root cause of each failure mode and to gain a
fundamental (science-based) understanding of that mechanism. The development of predictive models follows
from this science-based understanding. A
reliability model for wear in a MEMS application with contacting surfaces is
presented.
Design-in
Reliability with Emphasis on NBTI
Chittoor Parthasarathy, ST Alliance (top)
The
advent of NBTI (Negative Bias Temperature Instability) as a prominent
degradation mechanism and a host of other factors - diverse offerings from a
technology node, complex products and aggressive performance targets - are
prompting efforts to develop methodology to analyze device degradation atcircuit/design level with a view to preempt problems
later on. The aim of
this
tutorial is to elaborate this "Design-in Reliability" (DiR) methodology applied to CMOS circuits. In the past, DiR
has mainly addressed degradation due to hot-carrier injection (HCI). In this tutorial, we shall focus on tackling
NBTI degradation, individually as well as in conjunction with HCI.
We
shall begin by reviewing recent developments in understanding NBTI and HCI
phenomena and shall discuss implementations of degradation models for
SPICE. Subsequently, we shall look into
the aspect of reliability simulation - methods of degradation analysis applied
during circuit simulation. In the final section, we shall address the aspect of
reliability analysis for different classes of designs from a designer
viewpoint: (a) role of operating conditions, modes and stimuli, (b) minimizing
the effects of degradation and (c) correlation of predicted results with
silicon. The tone in general shall be to
highlight open issues and explore their solutions. We shall conclude by
pondering on how the DiR methodology is set to evolve
in the future.
Reliability
Engineering Tools: Bootstrapping and Extreme Value Statistics
Larry Stout, Idaho State Univ. (top)
This
tutorial will provide practical information on two techniques that are of use
to anyone doing statistical data analysis and making statistical
inferences.
Reliability
engineers often base their decisions on fitting lifetime data to a particular
type of distribution (e.g. lognormal, exponential, Weibull). Statistical bootstrapping is a tool that
allows us to explore data and make useful inferences (e.g. mean, confidence
intervals) about it without the need for assuming that the data is from a
particular underlying distribution.
Bootstrapping
was introduced in the late 1970’s and is a computationally intensive
Monte-Carlo procedure that is simple to understand and implement. To bootstrap a statistic (e.g. the sample
mean), we draw for example 1000 random resamples with
replacement from the original sample data, calculate the statistic of interest
(sample mean) for each resample, then estimate the overall sample mean by
taking the average of all the 1000 resampled
means. Inferences about our statistic
can then be made by inspecting the resulting bootstrap distribution of our 1000
resampled values of the statistic of interest.
The
key idea here is that the bootstrap distribution approximates the sampling
distribution of the statistic and we use it as a way to estimate the variation
in a statistic based on the original data.
The
second topic of discussion in this tutorial will be an introduction to extreme
value statistics. Extreme values
statistics have proven useful in ocean engineering (e.g. highest wave height),
meteorology (highest amount of rainfall, maximum wind speed), and in
investigating fatigue strength and corrosion.
Here the focus is on the extremes of a measured parameter instead of the
typical focus on centralized tendencies such as the mean or median. I believe that they could also prove useful
in exploring electrical reliability issues such as the highest (lowest) use
temperature for a metal line, maximum use current flow through a specific
device, or the highest use voltage across a capacitor.
Back End
Reliability
Glenn Alers, Novellus Systems (top)
As
interconnects become responsible for a larger portion of signal delays in
advanced circuits the pressure for aggressive scaling will increase. Current
densities will increase as dimensions are reduced and stress management will be
more critical as the compliance of low-k materials decreases. However, reducing
the interconnect dimensions tend to degrade reliability as the critical volume
associated with a failure decreases. This talk will review the conflicting
requirements for reliability and product performance and the solutions that are
being pursued. Several paths are available for improving electromigration
including advanced barriers, copper alloy seed layers and metallic cap layers. However,
each of these solutions will come at the cost of line resistance, which is
already increasing due to increased scattering in small geometries. Stress
migration will become a larger concern at small dimensions because both the
absolute stress level and stress gradients will increase at smaller geometries.
Reducing the density of the inter-level dielectric will exaggerate these
problems due to intrinsically lower adhesion energies and an increased
diffusivity of copper, water and ammines in the dielectric. Ultimately, it will
be reliability that limits the scaling of interconnects for future nodes.
From Micro Breakdown to Hard Breakdown - from Artifact to
Destructive Failure?
Hard
breakdown, analog and digital soft breakdown, micro breakdown, progressive
breakdown, stress-induced leakage current, anomalous stress-induced leakage
current, etc... When a constant voltage stress is applied to a thin (<10 nm)
oxide layer many degradation phenomena are observed. All of these have in
common that they are localized stress-induced leakage paths involving
electrical trap centers in the bulk of the oxide, but different names are in
use depending on the magnitude of the leakage current or on the application
where they are typically measured. Some of these stress-induced leakage paths
can be negligible artifacts for one application while they are showstoppers for
another application. This tutorial aims at presenting a comprehensive overview
of all these dielectric breakdown phenomena, explaining their origin and
showing what test methods and structures are needed to observe and study them.
Examples will be presented on SiO2, SiON
and some high-k dielectrics.
For
more details, please contact our Tutorial Chair, Sylvie Bruyere.