Materials Informatics for Process and Material Co-Optimization
In semiconductor manufacturing, fabrication processes and their materials should be properly co-optimized to achieve required processing results within reasonable development duration and acceptable cost. Unfortunately, it is a very time-consuming procedure, because the number of possible combinatio...
Gespeichert in:
Veröffentlicht in: | IEEE transactions on semiconductor manufacturing 2019-11, Vol.32 (4), p.444-449 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | In semiconductor manufacturing, fabrication processes and their materials should be properly co-optimized to achieve required processing results within reasonable development duration and acceptable cost. Unfortunately, it is a very time-consuming procedure, because the number of possible combinations of process/material candidates is very large. Here, we develop a methodology for co-optimization of processes and their materials. We successfully constructed a prediction model for dry-etching of high-k materials (R 2 = 0.65). Also, it was proven that considering both the materials and processes is needed for accurate prediction of etching rates. By trying only |
---|---|
ISSN: | 0894-6507 1558-2345 |
DOI: | 10.1109/TSM.2019.2943162 |