Application of High-Frequency Leakage Current Model for Characterizing Failure Modes in Digital Logic Gates

Zahra Abedi, Sameer Hemmady, Thomas Antonsen, Edl Schamiloglu and Payman Zarkesh-Ha
Additional contact information
Zahra Abedi: Department of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA
Sameer Hemmady: Department of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA
Thomas Antonsen: Departments of Electrical and Computer Engineering, Physics, University of Maryland, College Park, MD 20742, USA
Edl Schamiloglu: Department of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA
Payman Zarkesh-Ha: Department of Electrical & Computer Engineering, University of New Mexico, Albuquerque, NM 87131, USA

Energies, 2021, vol. 14, issue 10, 1-11

Abstract: In this paper, a predictive model is developed to characterize the impact of high-frequency electromagnetic interference (EMI) on the leakage current of CMOS integrated circuits. It is shown that the frequency dependence can be easily described by a transfer function that depends only on a few dominant parasitic elements. The developed analytical model is successfully compared against measurement data from devices fabricated using 180 nm, 130 nm, and 65 nm standard CMOS processes through TSMC. Based on the predictive model, the impact of EMI on leakage current in a CMOS inverter is reduced by increasing the frequency from 10 MHz to 4 GHz.

Keywords: electromagnetic interference; leakage current; predictive modeling of CMOS inverters; VLSI systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/10/2906/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/10/2906/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:10:p:2906-:d:556654

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().