Surrogate-Based Modeling Techniques for Mapping Transistor Figures of Merit onto Compact Model Parameters
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
The electrical characteristics of a transistor can deviate from its nominal behavior due to process variations, aging mechanisms, etc. In order to ensure the reliability of a design, circuit level simulations capturing this altered transistor behaviors have become increasingly important. In this paper we study the use of surrogate models to map changes in key transistor's figures of merit into compact model parameters in order to shorten the path from reliability measurements to simulations.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | 2022 IEEE International Integrated Reliability Workshop (IIRW) |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 978-1-6654-5368-4 |
| Publikationsstatus | Veröffentlicht - 2022 |
| Peer-Review-Status | Ja |
Publikationsreihe
| Reihe | IEEE International Integrated Reliability Workshop (IIRW) |
|---|---|
| ISSN | 1930-8841 |
Workshop
| Titel | 2022 IEEE International Integrated Reliability Workshop |
|---|---|
| Untertitel | Reliable electronics for a reliable society |
| Kurztitel | IIRW 2022 |
| Dauer | 9 - 13 Oktober 2022 |
| Ort | Stanford Sierra Conference Center |
| Stadt | Fallen Leaf Lake |
| Land | USA/Vereinigte Staaten |
Externe IDs
| ORCID | /0000-0003-3814-0378/work/142256364 |
|---|
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- BSIM, Compact Model, GRNN, HCI, Kriging, PSM, RSM, Surrogate models, SVM, Transistor aging