Journal
IEEE TRANSACTIONS ON DEVICE AND MATERIALS RELIABILITY
Volume 21, Issue 1, Pages 17-25Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TDMR.2020.3043826
Keywords
Stress; Films; Thermal stresses; Predictive models; Annealing; Strain; Microstructure; Multi-layered thin films; thermal processing; residual stress; MEMS; finite element simulation
Funding
- Ministry of Science and Technology of Taiwan [NSC 100-2221-E-006-020-MY3, MOST 105-2221-E-006-074MY3]
- Advanced Semiconductor Engineering, Inc. [B109-K833]
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Chemically deposited multiple layer films play a crucial role in microelectronics and MEMS devices, and their stress states require effective models for analysis and design guidance. A semi-analytical phenomenological-based model has been proposed in this study to predict the stress distribution in each structural layer during thermal processing, taking into account various factors such as microstructure evolution, stress relaxation, and curvature-stress relation.
Chemically deposited multiple layer films are common structures in microelectronics and MEMS devices and their stress states directly influence both their structural and electrical integrities. From structural reliability perspective, it is important to assess stress state for guiding the structural integrity evaluation. However, the stress states of the film structures during deposition and after post-deposition thermal annealing are process-dependent due to the interaction between thermal stress, void-driven intrinsic stress generation, and stress relaxations. Under such a complex circumstance and multiple length scale nature, it needs an effective model to guide the structural design. In this work, a semi-analytical phenomenological-based model is proposed by simultaneously considering microstructure evolution-dependent intrinsic stress, stress relaxation, and multi-layered curvature-stress relation to predict the stresses existed in each structural layer during thermal processing. The model is then implemented in a finite element model to mimic the entire processing. The model prediction and the experimental results are then mutually correlated and the prediction results agrees with that performed by finite element simulation well. Finally, essential material characterization results in associated with the model prediction are then applied for evaluating residual stresses of each layer in multi-layer nitride/oxide structures as the basis for observed structure failures under indentation loads. In summary, this work provides a rational analysis procedure for stress analysis of multi-layered deposited films during deposition and/or after subsequent thermal processing with experimental verifications and essential demonstrations. This approach should be possible to provide more precise information for optimizing the deposition and the subsequent thermal annealing processes for improving structural longevity of IC devices.
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