Metrology, Inspection, and Process Control for Microlithography XVIII 2004
DOI: 10.1117/12.546880
|View full text |Cite
|
Sign up to set email alerts
|

Reducing measurement uncertainty drives the use of multiple technologies for supporting metrology

Abstract: Perhaps never before in semiconductor microlithography has there been such an interest in the accuracy of measurement. This interest places new demands on our in-line metrology systems as well as the supporting metrology for verification. This also puts a burden on the users and suppliers of new measurement tools, which both challenge and complement existing manufacturing metrology. The metrology community needs to respond to these challenges by using new methods to assess the fab metrologies. An important par… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2005
2005
2022
2022

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 15 publications
(5 citation statements)
references
References 5 publications
0
5
0
Order By: Relevance
“…Generally speaking, published studies consider two different inputs for ML processing: (1) quantitative data and (2) image or image-like data. Going back to the history of uncertainty quantification, Banke et al [82] proposed a method for measuring total measurement uncertainty (TMU) related to a source of measurement uncertainty in the calibration of the tip-sample interaction. Aside from that, ML is a promising method for reducing measurement uncertainty in SPM nanometrology via autonomous operation in both data acquisition and the subsequent data analysis processes.…”
Section: Goal Of Reviewmentioning
confidence: 99%
“…Generally speaking, published studies consider two different inputs for ML processing: (1) quantitative data and (2) image or image-like data. Going back to the history of uncertainty quantification, Banke et al [82] proposed a method for measuring total measurement uncertainty (TMU) related to a source of measurement uncertainty in the calibration of the tip-sample interaction. Aside from that, ML is a promising method for reducing measurement uncertainty in SPM nanometrology via autonomous operation in both data acquisition and the subsequent data analysis processes.…”
Section: Goal Of Reviewmentioning
confidence: 99%
“…Fig. 2 shows results from an earlier IBM study 8 where the RM was a combination of the CDAFM and CDSEM to evaluate a scatterometer measurement system or OCD. The left graph shows the first stage of calibration where the suitability of the CDSEM was evaluated by the CDAFM as the RM.…”
Section: Significance Of Reference Metrologymentioning
confidence: 99%
“…4, taken from a 2004 SPIE paper from IBM. 8 The graph of this figure shows an arbitrary ranking from 1 to 9 of three important metrology attributes with 9 being the best-intrinsic relative accuracy, sampling efficiency, and throughput. The x-axis purposely lists the spectrum of measurement technologies from the most automated measurement to the most labor-intensive measurement.…”
Section: Choice Of Reference Metrologymentioning
confidence: 99%
“…Since the advent of commercial CD-AFM technology, these tools have gained modest acceptance in semiconductor manufacturing for process development and to support in-line CD metrology. The most common application of CD-AFMs has been to support CD-SEM metrology as a reference for tool matching or as a non-destructive alternative to TEM and SEM cross-sections [9][10][11][12][13]. There has also been significant use of CD-AFMs to study the properties of edges and sidewalls-specifically the line edge roughness (LER) [14,15].…”
Section: Current Statusmentioning
confidence: 99%