Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/230333
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Yield-aware multi-objective optimization of a MEMS accelerometer system using QMC-based methodologies |
Autor: | Pak, Murat; Fernández, Francisco V. CSIC ORCID; Dundar, Gunhan | Fecha de publicación: | 2020 | Editor: | Elsevier | Citación: | MICROELECTRONICS JOURNAL 103 (2020) | Resumen: | This paper proposes a novel yield-aware optimization methodology that can be used for mixed-domain synthesis of robust micro-electro-mechanical systems (MEMS). The robust Pareto front optimization of a MEMS accelerometer system, which includes a capacitive MEMS sensor and an analog read-out circuitry, is realized by co-optimization of the mixed-domain system where the sensor performances are evaluated using highly accurate analytical models and the circuit level simulations are carried out by an electrical simulator. Two different approaches for yield-aware optimization have been implemented in the synthesis loop. The Quasi Monte Carlo (QMC) technique has been used to embed the variation effects into the optimization loop. The results for both two- and three-dimensional yield-aware optimization are quite promising for robust MEMS accelerometer synthesis. | Versión del editor: | http://dx.doi.org/10.1016/j.mejo.2020.104876 | URI: | http://hdl.handle.net/10261/230333 | DOI: | 10.1016/j.mejo.2020.104876 | Identificadores: | doi: 10.1016/j.mejo.2020.104876 issn: 0026-2692 |
Aparece en las colecciones: | (IMSE-CNM) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Yield-aware multi-objective optimization of MEMS - PAK - Revisedv3_FVFF.pdf | 946,56 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
2
checked on 09-abr-2024
WEB OF SCIENCETM
Citations
1
checked on 23-feb-2024
Page view(s)
117
checked on 26-abr-2024
Download(s)
53
checked on 26-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.