The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 16, 2019

Filed:

May. 05, 2015
Applicant:

Kla—tencor Corporation, Milpitas, CA (US);

Inventors:

Andrei V. Shchegrov, Campbell, CA (US);

Stilian Ivanov Pandev, Santa Clara, CA (US);

Jonathan M. Madsen, Los Altos, CA (US);

Alexander Kuznetsov, Mountain View, CA (US);

Walter Dean Mieher, Los Gatos, CA (US);

Assignee:

KLA—Tencor Corporation, Milpitas, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G01N 21/95 (2006.01); G01B 11/27 (2006.01);
U.S. Cl.
CPC ...
G01N 21/9501 (2013.01); G01B 11/27 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods and systems for creating a measurement model based only on measured training data are presented. The trained measurement model is then used to calculate overlay values directly from measured scatterometry data. The measurement models receive scatterometry signals directly as input and provide overlay values as output. In some embodiments, overlay error is determined from measurements of design rule structures. In some other embodiments, overlay error is determined from measurements of specialized target structures. In a further aspect, the measurement model is trained and employed to measure additional parameters of interest, in addition to overlay, based on the same or different metrology targets. In some embodiments, measurement data from multiple targets, measurement data collected by multiple metrologies, or both, is used for model building, training, and measurement. In some embodiments, an optimization algorithm automates the measurement model building and training process.


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