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. 23, 2024

Filed:

Jan. 22, 2019
Applicant:

Asml Netherlands B.v., Veldhoven, NL;

Inventors:

Vahid Bastani, Eindhoven, NL;

Alexander Ypma, Veldhoven, NL;

Dag Sonntag, Eindhoven, NL;

Everhardus Cornelis Mos, Best, NL;

Hakki Ergün Cekli, Eindhoven, NL;

Chenxi Lin, Newark, CA (US);

Assignee:

ASML NETHERLANDS B.V., Veldhoven, NL;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/30 (2020.01); G06F 30/398 (2020.01); G06N 5/01 (2023.01); G06N 5/04 (2023.01); G06N 20/20 (2019.01); G06F 119/18 (2020.01);
U.S. Cl.
CPC ...
G06F 30/398 (2020.01); G06N 5/01 (2023.01); G06N 5/04 (2013.01); G06N 20/20 (2019.01); G06F 2119/18 (2020.01);
Abstract

Substrates to be processed are partitioned based on pre-processing data that is associated with substrates before a process step. The data is partitioned using a partition rule and the substrates are partitioned into subsets in accordance with subsets of the data obtained by the partitioning. Corrections are applied, specific to each subset. The partition rule is obtained using decision tree analysis on a training set of substrates. The decision tree analysis uses pre-processing data associated with the training substrates before they were processed, and post-processing data associated with the training substrates after being subject to the process step. The partition rule that defines the decision tree is selected from a plurality of partition rules based on a characteristic of subsets of the post-processing data. The associated corrections are obtained implicitly at the same time.


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