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公开(公告)号:WO2021160380A1
公开(公告)日:2021-08-19
申请号:PCT/EP2021/051002
申请日:2021-01-19
Applicant: ASML NETHERLANDS B.V.
Inventor: HUBAUX, Arnaud , WARNAAR, Patrick , MIDDLEBROOKS, Scott, Anderson , COLLIGNON, Tijmen, Pieter , LI, Chung-Hsun , TSIROGIANNIS, Georgios , SHAKERI, Sayyed, Mojtaba
IPC: G03F7/20
Abstract: A method of determining matching performance between tools used in semiconductor manufacture and associated tools is described. The method comprises obtaining a plurality of data sets related to a plurality of tools and a representation of said data sets in a reduced space having a reduced dimensionality. A matching metric and/or matching correction is determined based on matching said reduced data sets in the reduced space.
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2.
公开(公告)号:WO2022012875A1
公开(公告)日:2022-01-20
申请号:PCT/EP2021/066836
申请日:2021-06-21
Applicant: ASML NETHERLANDS B.V.
Inventor: HLOD, Andriy, Vasyliovich , HUBAUX, Arnaud
Abstract: A method of determining a correction strategy in a semiconductor manufacture process is disclosed. The method comprises obtaining functional indicator data relating to functional indicators associated with one or more process parameters of each of a plurality of different control regimes of the semiconductor manufacture process and/or a tool associated with said semiconductor manufacture process and using a trained model to determine for which of said control regimes should a correction be determined so as to at improve performance of said semiconductor manufacture process according to at least one quality metric being representative of a quality of the semiconductor manufacture process. The correction is then calculated for the determined control regime(s).
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公开(公告)号:WO2021197717A1
公开(公告)日:2021-10-07
申请号:PCT/EP2021/054597
申请日:2021-02-24
Applicant: ASML NETHERLANDS B.V.
Inventor: HUBAUX, Arnaud
IPC: G03F7/20 , G05B19/418 , G06N3/02 , G06N20/10 , G03F7/705 , G05B17/02 , G05B19/41875 , G05B2219/32193 , G05B2219/32194 , G05B2219/45031 , G06N20/00 , G06N3/006 , G06N5/003 , G06N7/005
Abstract: A method, the method comprising: obtaining one or more models configured for predicting a process metric of a manufacturing process based on inputting process data; and using a reinforcement learning framework to evaluate said one or more models and/or model configurations of said one more models based on inputting new process data to the one or more models and determining a performance indication of the one or more models and/or model configurations in predicting the process metric based on inputting the new process data.
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公开(公告)号:WO2022008174A1
公开(公告)日:2022-01-13
申请号:PCT/EP2021/065947
申请日:2021-06-14
Applicant: ASML NETHERLANDS B.V.
Inventor: GUO, Chaoqun , KHEDEKAR, Satej, Subhash , GANTAPARA, Anjan Prasad , LIN, Chenxi , CASTELIJNS, Henricus, Jozef , CHEN, Hongwei , BOND, Stephen Henry , LI, Zhaoze , MOSSAVAT, Seyed Iman , ZOU, Yi , YPMA, Alexander , ZHANG, Youping , DICKER, Gerald , STEINMEIER, Ewout, Klaas , VAN BERKEL, Koos , BOLDER, Joost, Johan , HUBAUX, Arnaud , HLOD, Andriy, Vasyliovich , GONZALEZ HUESCA, Juan Manuel , AARDEN, Frans Bernard
IPC: G03F7/20
Abstract: Generating a control output for a patterning process is described. A control input is received. The control input is for controlling the patterning process. The control input comprises one or more parameters used in the patterning process. The control output is generated with a trained machine learning model based on the control input. The machine learning model is trained with training data generated from simulation of the patterning process and/or actual process data. The training data comprises 1) a plurality of training control inputs corresponding to a plurality of operational conditions of the patterning process, where the plurality of operational conditions of the patterning process are associated with operational condition specific behavior of the patterning process over time, and 2) training control outputs generated using a physical model based on the training control inputs.
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公开(公告)号:WO2020156769A1
公开(公告)日:2020-08-06
申请号:PCT/EP2020/050354
申请日:2020-01-09
Applicant: ASML NETHERLANDS B.V.
Inventor: HUBAUX, Arnaud , BECKERS, Johan, Franciscus, Maria , DAVIES, Dylan John David , KUNNEN, Johan, Gertrudis, Cornelis , PONGERS, Willem, Richard , DAWARE, Ajinkya, Ravindra , LI, Chung-Hsun , TSIROGIANNIS, Georgios , BORGER, Hendrik, Cornelis, Anton , DE JONG, Frederik Eduard , GONZALEZ HUESCA, Juan Manuel , HLOD, Andriy, Vasyliovich , PISARENCO, Maxim
IPC: G03F7/20 , G05B23/02 , G05B19/418
Abstract: Described is a method for categorizing a substrate subject to a semiconductor manufacturing process comprising multiple operations, the method comprising: obtaining values of functional indicators derived from data generated during one or more of the multiple operations on the substrate, the functional indicators characterizing at least one operation; applying a decision model comprising one or more threshold values to the values of the functional indicators to obtain one or more categorical indicators; and assigning a category to the substrate based on the one or more categorical indicators.
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公开(公告)号:EP3918420A1
公开(公告)日:2021-12-08
申请号:EP20700456.5
申请日:2020-01-09
Applicant: ASML Netherlands B.V.
Inventor: HUBAUX, Arnaud , BECKERS, Johan, Franciscus, Maria , DAVIES, Dylan John David , KUNNEN, Johan, Gertrudis, Cornelis , PONGERS, Willem, Richard , DAWARE, Ajinkya, Ravindra , LI, Chung-Hsun , TSIROGIANNIS, Georgios , BORGER, Hendrik, Cornelis, Anton , DE JONG, Frederik Eduard , GONZALEZ HUESCA, Juan Manuel , HLOD, Andriy, Vasyliovich , PISARENCO, Maxim
IPC: G03F7/20 , G05B23/02 , G05B19/418
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公开(公告)号:EP3693795A1
公开(公告)日:2020-08-12
申请号:EP19155660.4
申请日:2019-02-06
Applicant: ASML Netherlands B.V.
Inventor: HUBAUX, Arnaud
IPC: G03F7/20 , G05B23/02 , G05B19/418
Abstract: Described is a method and associated computer program and apparatuses for method for making a decision within a manufacturing process. The method comprises obtaining scanner data relating to one or more parameters of a lithographic exposure step of the manufacturing process and applying a decision model. The decision model outputs a value for each of one or more categorical indicators based on the scanner data, each categorical indicator being indicative of a quality of the manufacturing process. An action is decided upon (e.g., to inspect a substrate as a candidate for rework) based on a value of the categorical indicator.
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公开(公告)号:EP3742229A1
公开(公告)日:2020-11-25
申请号:EP19175717.8
申请日:2019-05-21
Applicant: ASML Netherlands B.V.
Inventor: ONVLEE, Johannes , HUBAUX, Arnaud
IPC: G03F7/20 , G05B19/418 , G06N20/00 , G06Q10/10
Abstract: Described herein is a method for adjusting a prediction model used for enhancing a lithography process. The method comprises providing (400) an initial prediction model (401) comprising a plurality of model parameters to one or more remote locations (404). The method comprises training (420) the initial prediction model with local data (406) at the one or more remote locations (404) such that at least one model parameter (W) is updated (450,454,454). The method comprises receiving (460) the at least one updated model parameter from each of the one or more remote locations where the initial prediction model was trained. The method comprises determining aggregated updated model parameters based on the at least one updated model parameter received from the one or more remote locations. The method comprises adjusting the initial prediction model based on the aggregated updated model parameters. The adjusted prediction model is operable to enhance the lithography process.
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公开(公告)号:EP4343472A1
公开(公告)日:2024-03-27
申请号:EP22196685.6
申请日:2022-09-20
Applicant: ASML Netherlands B.V.
Inventor: KOULIERAKIS, Eleftherios , GONZALEZ HUESCA, Juan Manuel , SMAL, Pavel , AARDEN, Frans, Bernard , RAVICHANDRAN, Arvind , DOU, Meng , HUBAUX, Arnaud , VAN HERTUM, Pieter
IPC: G05B19/418
Abstract: One embodiment relates to a method of classifying product units subject to a process performed by an apparatus, the method comprising: receiving KPI data, the KPI data associated with a plurality of components of the apparatus and comprising data associated with a plurality of KPIs; clustering the KPI data to identify a plurality of clusters; analyzing the plurality of clusters to identify a plurality of failure modes associated with the apparatus, for each identified failure mode assigning a threshold to each KPI associated with the failure mode; and for each of the plurality of product units: determining the likelihood of each of the plurality of failure modes based on KPI data of the product unit and the thresholds assigned to each KPI associated with one of the plurality of failure modes; and performing a classification based on the likelihoods of each of the plurality of failure modes.
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10.
公开(公告)号:EP4182758A1
公开(公告)日:2023-05-24
申请号:EP21734825.9
申请日:2021-06-21
Applicant: ASML Netherlands B.V.
Inventor: HLOD, Andriy, Vasyliovich , HUBAUX, Arnaud
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