Automatic Generation of ACM Design-Oriented Models for MOS Transistors from Quasi-Static Wafer-Level Characterization Data
This paper introduces a novel MOS Transistor model extraction methodology from wafer-related parametric test data to characterize process variation effects. This approach provides critical insights into the impact of variability on devices after production and supports a more efficient and comprehensive design process by enabling circuit post-fabrication simulation and calibration. By identifying performance variation causes at the transistor level, the application of this method to performance prediction represents a major advancement over existing post-fabrication simulation approaches, enabling potential improvements in production yield.
Authors
- David Gaidioz (ORCID: https://orcid.org/0000-0002-5192-7426)
- Sylvain Bourdel (ORCID: https://orcid.org/0000-0001-9930-9945)
- Philippe Cathelin (ORCID: https://orcid.org/0000-0001-5603-3352)
- Manuel J. Barragán (ORCID: https://orcid.org/0000-0003-0187-604X)
- Catalin Andrei Dobrin
- Florence Podevin (ORCID: https://orcid.org/0000-0002-8477-5617)
Institutions
- Institut polytechnique de Grenoble (FR)
- Centre National de la Recherche Scientifique (FR)
- Techniques of Informatics and Microelectronics for Integrated Systems Architecture (FR)
- STMicroelectronics (France) (FR)
- Université Grenoble Alpes (FR)
Publication Details
- Published
- 2025-09-21
- DOI
- https://doi.org/10.1109/prime66228.2025.11203325
- Primary Topic
- VLSI and FPGA Design Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00