Abstract
Deposition of silicon dioxide (SiO2) is a critical step of integrated circuit manufacturing; hence it is monitored during the manufacturing process at a grid of points defined on the\r\nwafer area. Since collecting thickness measurements is expensive, it is a compelling issue to investigate how a sub grid can be identified. A strategy based on spatial prediction and\r\nsimulating annealing is proposed to tackle the problem which proved to be effective when applied to a real process. A diagnostic device for monitoring the deposition process is also discussed which can be usefully adopted in the day-to-day activity by practitioners acting in process control of a microelectronics fab.
| Original language | English |
|---|---|
| Pages (from-to) | 407-419 |
| Number of pages | 13 |
| Journal | Computational Statistics and Data Analysis |
| Volume | 58 |
| Issue number | Febbraio |
| DOIs | |
| Publication status | Published - 2013 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Computational Mathematics
- Computational Theory and Mathematics
- Applied Mathematics
Keywords
- Kriging
- Simulated annealing
- Spatial sampling
- Statistics for microelectronics
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