Since more
than 50 years, corrosion of the metal lines in integrated-circuits, resulting
from the presence of atmospheric moisture near the metal, is a serious
reliability challenge [1, 2]. Traditionally, corrosion issues have been
mitigated by the utilization of thick passivation stacks, consisting in an
association of silicon nitride and silicon oxide, and preventing moisture from
reaching the metal lines [3].
Nevertheless,
in this new microelectronic era, where complex products are built by combining different
chips, leveraging on new interconnect modules such as optical IO, and polymer
based RDL technologies, more and more applications are incompatible with the
classical passivation stacks. For example, at imec, silicon photonics chips
require opening of the passivation layers to connect the optical fibers [4],
resulting in the direct exposure of the underneath BEOL layers to atmospheric
moisture leading to severe reliability concerns such as metal line corrosion
[3] or waveguide mode shifting due to refractive index increase [5]. In the
realm of 3D technologies, the introduction of novel materials such as polymers,
molds or unprotected SiCN bonding layers for e.g., raises concerns of new moisture
induced reliability issues. To guarantee reliable 3D technologies and products,
the impact of moisture on the reliability of advanced packaging technologies must
be assessed.
The aim of
this PhD is to understand the risk posed by moisture uptake and its impact on
the reliability performance of OIO and 3D interconnects. The degradation
mechanisms induced by moisture uptake should be identified and understood to
propose possible mitigation strategies. In more details, the following
achievements are expected:
- Comparison and selection of the most appropriate
characterization methodologies to monitor moisture diffusion in dielectrics.
- Characterization of the moisture diffusion
kinetics in various materials (eg; SiN, SiCN, Polymers...);
- Identification of the possible failure modes and
their relative mechanisms for the different dielectric and polymer materials
used in OIO and 3D technologies;
- Assessing the impact of moisture on dielectrics and
polymers electrical and optical performances;
- Assessing the impact on the electrical and
optical performances of waveguides and copper lines when surrounded by moisture
exposed dielectric materials.
To reach these goals, the following activities are foreseen:
- Deep understanding of the OIO & 3D
technologies and their applications;
- Building moisture diffusion models for the
different dielectric & polymer materials used in OIO& 3D technologies
- Electrical & optical characterization of
moisture exposed dielectric & polymer materials.
- Statistical data analysis of reliability data
extracted from electrical characterization;
- Building of analytical/computer models for
dielectric & polymer lifetime predictions;
- Interaction with OIO and 3-D process integration
engineers to provide them feedback on the reliability characterization results.
- Proposition of various mitigation strategies to
build reliable products.
Who you are:
- You have a material sciences background and
enjoy experimental work.
- Prior experience with moisture diffusion in
dielectric/polymer materials would be beneficial.
- Deep knowledge of characterization methodologies
such as ellipsometry or FTIR would be an asset.
- Prior exposure to ellipsometry and FTIR spectrum
analysis methodology is an advantage.
[1] Frankenthal, R. P. & Becker, W. H., Corrosion
Failure Mechanisms for Gold Metallizations in Electronic Circuits, Journal of
The Electrochemical Society, Vol. 126, No. 10, 1979.
[2] Leppänen, J. et al., Aluminium corrosion in power
semiconductor devices, Microelectronics Reliability, Vol. 137, 2022.
[3] Comizzoli
et al., Corrosion of Aluminum IC Metallization with Defective Surface
Passivation Layer, International Reliability Physics Symposium, 1980.
[4] He, J. et
al., V-Groove assisted passive assembly of single-mode fibers to
ultra-broadband polarization-insensitive edge couplers for silicon photonics,
European Conference on Optical Communication (ECOC 2019).
[5] Y. Zhang,
M. Cui, Refractive Index Sensor Based on the Symmetric MIM Waveguide Structure,
J. Electron. Mater. 48 (2) (2019)