公开(公告)号：US11086229B2

公开(公告)日：2021-08-10

申请号：US16497826

申请日：2018-03-29

Applicant: ASML NETHERLANDS B.V.

Inventor： Alexander Ypma ,  Cyrus Emil Tabery ,  Simon Hendrik Celine Van Gorp ,  Chenxi Lin ,  Dag Sonntag ,  Hakki Ergün Cekli ,  Ruben Alvarez Sanchez ,  Shih-Chin Liu ,  Simon Philip Spencer Hastings ,  Boris Menchtchikov ,  Christiaan Theodoor De Ruiter ,  Peter Ten Berge ,  Michael James Lercel ,  Wei Duan ,  Pierre-Yves Jerome Yvan Guittet

IPC: G03F7/20

Abstract: A method and associated computer program for predicting an electrical characteristic of a substrate subject to a process. The method includes determining a sensitivity of the electrical characteristic to a process characteristic, based on analysis of electrical metrology data including electrical characteristic measurements from previously processed substrates and of process metrology data including measurements of at least one parameter related to the process characteristic measured from the previously processed substrates; obtaining process metrology data related to the substrate describing the at least one parameter; and predicting the electrical characteristic of the substrate based on the sensitivity and the process metrology data.

公开(公告)号：US11714357B2

公开(公告)日：2023-08-01

申请号：US17363057

申请日：2021-06-30

Applicant: ASML NETHERLANDS B.V.

Inventor： Alexander Ypma ,  Cyrus Emil Tabery ,  Simon Hendrik Celine Van Gorp ,  Chenxi Lin ,  Dag Sonntag ,  Hakki Ergün Cekli ,  Ruben Alvarez Sanchez ,  Shih-Chin Liu ,  Simon Philip Spencer Hastings ,  Boris Menchtchikov ,  Christiaan Theodoor De Ruiter ,  Peter Ten Berge ,  Michael James Lercel ,  Wei Duan ,  Pierre-Yves Jerome Yvan Guittet

IPC: G03F7/20 ,  G03F7/00

CPC classification number: G03F7/70491 ,  G03F7/705 ,  G03F7/70658

Abstract: A method and associated computer program for predicting an electrical characteristic of a substrate subject to a process. The method includes determining a sensitivity of the electrical characteristic to a process characteristic, based on analysis of electrical metrology data including electrical characteristic measurements from previously processed substrates and of process metrology data including measurements of at least one parameter related to the process characteristic measured from the previously processed substrates; obtaining process metrology data related to the substrate describing the at least one parameter; and predicting the electrical characteristic of the substrate based on the sensitivity and the process metrology data.

公开(公告)号：US12045555B2

公开(公告)日：2024-07-23

申请号：US16960376

申请日：2019-01-22

Applicant: ASML NETHERLANDS B.V.

Inventor： Vahid Bastani ,  Alexander Ypma ,  Dag Sonntag ,  Everhardus Cornelis Mos ,  Hakki Ergün Cekli ,  Chenxi Lin

IPC: G06F30/30 ,  G06F30/398 ,  G06N5/01 ,  G06N5/04 ,  G06N20/20 ,  G06F119/18

CPC classification number: G06F30/398 ,  G06N5/01 ,  G06N5/04 ,  G06N20/20 ,  G06F2119/18

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.

公开(公告)号：US11099485B2

公开(公告)日：2021-08-24

申请号：US16493326

申请日：2018-04-09

Applicant: ASML NETHERLANDS B.V.

Inventor： Alexander Ypma ,  Vahid Bastani ,  Dag Sonntag ,  Jelle Nije ,  Hakki Ergün Cekli ,  Georgios Tsirogiannis ,  Robert Jan Van Wijk

IPC: G03F7/20 ,  G03F9/00

Abstract: A method of maintaining a set of fingerprints representing variation of one or more process parameters across wafers subjected to a device manufacturing method, the method including: receiving measurement data of one or more parameters measured on wafers; updating the set of fingerprints based on an expected evolution of the one or more process parameters; and evaluation of the updated set of fingerprints based on decomposition of the received measurement data in terms of the updated set of fingerprints. Each fingerprint may have a stored likelihood of occurrence, and the decomposition may involve: estimating, based the received measurement data, likelihoods of occurrence of the set of fingerprints in the received measurement data; and updating the stored likelihoods of occurrence based on the estimated likelihoods.