Patents by Inventor Scott Anderson Middlebrooks

Scott Anderson Middlebrooks has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200320238
    Abstract: A method involving obtaining a resist deformation model for simulating a deformation process of a pattern in resist, the resist deformation model being a fluid dynamics model configured to simulate an intrafluid force acting on the resist, performing, using the resist deformation model, a computer simulation of the deformation process to obtain a deformation of the developed resist pattern for an input pattern to the resist deformation model, and producing electronic data representing the deformation of the developed resist pattern for the input pattern.
    Type: Application
    Filed: November 29, 2018
    Publication date: October 8, 2020
    Applicant: ASML NETHERLANDS B.V.
    Inventors: Chrysostomos BATISTAKIS, Scott Anderson MIDDLEBROOKS, Sander Frederik WUISTER
  • Publication number: 20200264520
    Abstract: In a lithographic process, product units such as semiconductor wafers are subjected to lithographic patterning operations and chemical and physical processing operations. Alignment data or other measurements are made at stages during the performance of the process to obtain object data representing positional deviation or other parameters measured at points spatially distributed across each unit. This object data is used to obtain diagnostic information by performing a multivariate analysis to decompose a set of vectors representing the units in the multidimensional space into one or more component vectors. Diagnostic information about the industrial process is extracted using the component vectors. The performance of the industrial process for subsequent product units can be controlled based on the extracted diagnostic information.
    Type: Application
    Filed: May 1, 2020
    Publication date: August 20, 2020
    Applicant: ASML Netherlands B.V
    Inventors: Alexander YPMA, Jasper MENGER, David DECKERS, David HAN, Adrianus Cornelis Matheus KOOPMAN, Irina LYULINA, Scott Anderson MIDDLEBROOKS, Richard Johannes Franciscu VAN HAREN, Jochem Sebastiaan WILDENBERG
  • Publication number: 20200257208
    Abstract: A defect prediction method for a device manufacturing process involving production substrates processed by a lithographic apparatus, the method including training a classification model using a training set including measured or determined values of a process parameter associated with the production substrates processed by the device manufacturing process and an indication regarding existence of defects associated with the production substrates processed in the device manufacturing process under the values of the process parameter, and producing an output from the classification model that indicates a prediction of a defect for a substrate.
    Type: Application
    Filed: April 17, 2020
    Publication date: August 13, 2020
    Inventors: Scott Anderson MIDDLEBROOKS, Willem Maria Julia Marcel COENE, Frank Arnoldus Johannes Maria DRIESSEN, Adrianus Cornelis Matheus KOOPMAN, Markus Gerardus Martinus Maria VAN KRAAIJ
  • Patent number: 10732513
    Abstract: A method and apparatus of detection, registration and quantification of an image. The method may include obtaining an image of a lithographically created structure, and applying a level set method to an object, representing the structure, of the image to create a mathematical representation of the structure. The method may include obtaining a first dataset representative of a reference image object of a structure at a nominal condition of a parameter, and obtaining second dataset representative of a template image object of the structure at a non-nominal condition of the parameter. The method may further include obtaining a deformation field representative of changes between the first dataset and the second dataset. The deformation field may be generated by transforming the second dataset to project the template image object onto the reference image object. A dependence relationship between the deformation field and change in the parameter may be obtained.
    Type: Grant
    Filed: September 5, 2019
    Date of Patent: August 4, 2020
    Assignee: ASML Netherlands B.V.
    Inventors: Scott Anderson Middlebrooks, Markus Gerardus Martinus Maria Van Kraaij, Adrianus Cornelis Matheus Koopman, Stefan Hunsche, Willem Marie Julia Marcel Coene
  • Patent number: 10725386
    Abstract: Disclosed is a method of measuring a parameter of a lithographic process, and associated inspection apparatus. The method comprises measuring at least two target structures on a substrate using a plurality of different illumination conditions, the target structures having deliberate overlay biases; to obtain for each target structure an asymmetry measurement representing an overall asymmetry that includes contributions due to (i) the deliberate overlay biases, (ii) an overlay error during forming of the target structure and (iii) any feature asymmetry. A regression analysis is performed on the asymmetry measurement data by fitting a linear regression model to a planar representation of asymmetry measurements for one target structure against asymmetry measurements for another target structure, the linear regression model not necessarily being fitted through an origin of the planar representation. The overlay error can then be determined from a gradient described by the linear regression model.
    Type: Grant
    Filed: May 24, 2019
    Date of Patent: July 28, 2020
    Assignee: ASML Netherlands B.V.
    Inventors: Scott Anderson Middlebrooks, Niels Geypen, Hendrik Jan Hidde Smilde, Alexander Straaijer, Maurits Van Der Schaar, Markus Gerardus Martinus Maria Van Kraaij
  • Patent number: 10706534
    Abstract: The invention provides a method and device for creating a model for classifying a data point in imaging data representing measured intensities, the method comprising: training a model using a first labelled set of imaging data points; determining at least one first image part in the first labelled set which the model incorrectly classifies; generating second image parts similar to at least one image part; further training the model using the second image parts. Preferably the imaging data points and the second image parts comprise 3D data points.
    Type: Grant
    Filed: July 26, 2017
    Date of Patent: July 7, 2020
    Inventors: Scott Anderson Middlebrooks, Henricus Wilhelm van der Heijden, Adrianus Cornelis Koopman
  • Publication number: 20200192229
    Abstract: A method and a computer program product that relates to lithographic apparatuses and, processes, and more particularly to a method and computer program to inspect substrates produced by the lithographic apparatuses and processes. The method and/or computer program product includes determining contributions from independent sources from results measured from a lithography process or a substrate processed by the lithography process, wherein the results are measured using a plurality of different substrate measurement recipes.
    Type: Application
    Filed: November 22, 2016
    Publication date: June 18, 2020
    Applicant: ASML NETHERLANDS B.V.
    Inventors: Scott Anderson MIDDLEBROOKS, Omer Abubaker Omer ADAM, Adrianus Cornelis Matheus KOOPMAN, Henricus JohannesLambertus MEGENS, Arie Jeffrey DEN BOEF
  • Patent number: 10642162
    Abstract: In a lithographic process, product units such as semiconductor wafers are subjected to lithographic patterning operations and chemical and physical processing operations. Alignment data or other measurements are made at stages during the performance of the process to obtain object data representing positional deviation or other parameters measured at points spatially distributed across each unit. This object data is used to obtain diagnostic information by performing a multivariate analysis to decompose a set of vectors representing the units in the multidimensional space into one or more component vectors. Diagnostic information about the industrial process is extracted using the component vectors. The performance of the industrial process for subsequent product units can be controlled based on the extracted diagnostic information.
    Type: Grant
    Filed: March 13, 2019
    Date of Patent: May 5, 2020
    Assignee: ASML Netherlands B.V.
    Inventors: Alexander Ypma, Jasper Menger, David Deckers, David Han, Adrianus Cornelis Matheus Koopman, Irina Lyulina, Scott Anderson Middlebrooks, Richard Johannes Franciscus Van Haren, Jochem Sebastiaan Wildenberg
  • Patent number: 10627723
    Abstract: A defect prediction method for a device manufacturing process involving production substrates processed by a lithographic apparatus, the method including training a classification model using a training set including measured or determined values of a process parameter associated with the production substrates processed by the device manufacturing process and an indication regarding existence of defects associated with the production substrates processed in the device manufacturing process under the values of the process parameter, and producing an output from the classification model that indicates a prediction of a defect for a substrate.
    Type: Grant
    Filed: November 14, 2014
    Date of Patent: April 21, 2020
    Assignee: ASML Netherlands B.V.
    Inventors: Scott Anderson Middlebrooks, Willem Maria Julia Marcel Coene, Frank Arnoldus Johannes Maria Driessen, Adrianus Cornelis Matheus Koopman, Markus Gerardus Martinus Maria Van Kraaij
  • Patent number: 10607334
    Abstract: A method and apparatus of detection, registration and quantification of an image. The method may include obtaining an image of a lithographically created structure, and applying a level set method to an object, representing the structure, of the image to create a mathematical representation of the structure. The method may include obtaining a first dataset representative of a reference image object of a structure at a nominal condition of a parameter, and obtaining second dataset representative of a template image object of the structure at a non-nominal condition of the parameter. The method may further include obtaining a deformation field representative of changes between the first dataset and the second dataset. The deformation field may be generated by transforming the second dataset to project the template image object onto the reference image object. A dependence relationship between the deformation field and change in the parameter may be obtained.
    Type: Grant
    Filed: November 13, 2015
    Date of Patent: March 31, 2020
    Assignee: ASML Netherlands B.V.
    Inventors: Scott Anderson Middlebrooks, Markus Gerardus Martinus Maria Van Kraaij, Maxim Pisarenco, Adrianus Cornelis Matheus Koopman, Stefan Hunsche, Willem Marie Julia Marcel Coene
  • Publication number: 20200072761
    Abstract: A method including selecting a shaped feature from a set of shaped features, each shaped feature of the set of shaped features having a set of points on a perimeter of the shape of the shaped feature, creating a plurality of shape context descriptors for the selected shaped feature, wherein each shape context descriptor provides an indication of a location in a shape context descriptor framework of a first focus point of the set of points in relation to a second point of the set of points, and identifying a shaped feature from the set of shaped features having a same or similar shape as the selected shaped feature based on data from the plurality of shape context descriptors.
    Type: Application
    Filed: March 2, 2018
    Publication date: March 5, 2020
    Inventors: Adrianus Cornelis Matheus KOOPMAN, Scott Anderson MIDDLEBROOKS, Willem Marie Julia Marcel COENE
  • Patent number: 10539882
    Abstract: A diagnostic system implements a network including two or more sub-domains. Each sub-domain has diagnostic information extracted by analysis of object data, the object data representing one or more parameters measured in relation to a set of product units that have been subjected nominally to the same industrial process as one another. The network further has at least one probabilistic connection from a first variable in a first diagnostic sub-domain to a second variable in a second diagnostic sub-domain. Part of the second diagnostic information is thereby influenced probabilistically by knowledge within the first diagnostic information. Diagnostic information may include, for example, a spatial fingerprint observed in the object data, or inferred. The network may include connections within sub-domains. The network may form a directed acyclic graph, and used for Bayesian inference operations.
    Type: Grant
    Filed: July 14, 2017
    Date of Patent: January 21, 2020
    Assignee: ASML Netherlands B.V.
    Inventors: Alexander Ypma, Adrianus Cornelis Matheus Koopman, Scott Anderson Middlebrooks
  • Publication number: 20190391500
    Abstract: Methods of measuring variation across multiple instances of a pattern on a substrate or substrates after a step in a device manufacturing process are disclosed. In one arrangement, data representing a set of images is received. Each image represents a different instance of the pattern, wherein the pattern includes a plurality of pattern elements. The set of images are registered relative to each other to superimpose the instances of the pattern. The registration includes applying different weightings to two or more of the plurality of pattern elements, wherein the weightings control the extent to which each pattern element contributes to the registration of the set of images and each weighting is based on an expected variation of the pattern element to which the weighting is applied. Variation in the pattern is measured using the registered set of images.
    Type: Application
    Filed: February 7, 2018
    Publication date: December 26, 2019
    Inventors: Antoine Gaston Marie KIERS, Scott Anderson MIDDLEBROOKS, Jan-Willem GEMMINK
  • Publication number: 20190391498
    Abstract: A method and apparatus of detection, registration and quantification of an image. The method may include obtaining an image of a lithographically created structure, and applying a level set method to an object, representing the structure, of the image to create a mathematical representation of the structure. The method may include obtaining a first dataset representative of a reference image object of a structure at a nominal condition of a parameter, and obtaining second dataset representative of a template image object of the structure at a non-nominal condition of the parameter. The method may further include obtaining a deformation field representative of changes between the first dataset and the second dataset. The deformation field may be generated by transforming the second dataset to project the template image object onto the reference image object. A dependence relationship between the deformation field and change in the parameter may be obtained.
    Type: Application
    Filed: September 5, 2019
    Publication date: December 26, 2019
    Applicant: ASML Netherlands B.V.
    Inventors: Scott Anderson MIDDLEBROOKS, Markus Gerardus Martinus Maria VAN KRAAIJ, Adrianus Cornelis Matheus KOOPMAN, Stefan HUNSCHE, Willem Marie Julia Marcel COENE
  • Publication number: 20190378012
    Abstract: Disclosed is a method of determining a characteristic of interest relating to a structure on a substrate formed by a lithographic process, the method comprising: obtaining an input image of the structure; and using a trained neural network to determine the characteristic of interest from said input image. Also disclosed is a reticle comprising a target forming feature comprising more than two sub-features each having different sensitivities to a characteristic of interest when imaged onto a substrate to form a corresponding target structure on said substrate. Related methods and apparatuses are also described.
    Type: Application
    Filed: May 29, 2019
    Publication date: December 12, 2019
    Applicant: ASML Netherlands B.V.
    Inventors: Lorenzo Tripodi, Patrick Warnaar, Grzegorz Grzela, Mohammadreza Hajiahmadi, Farzad Farhadzadeh, Patricius Aloysius Jacobus Tinnemans, Scott Anderson Middlebrooks, Adrianus Cornelis Matheus Koopman, Frank Staals, Brennan Peterson, Anton Bernhard Van Oosten
  • Publication number: 20190310554
    Abstract: A method including: obtaining a logistic mathematical model predicting the formation of a physical structure created using a patterning process; evaluating the logistic mathematical model to predict formation of a part of the physical structure and generate an output; and adapting, based on the output, an aspect of the patterning process.
    Type: Application
    Filed: November 29, 2017
    Publication date: October 10, 2019
    Applicant: ASML NETHERLANDS B.V.
    Inventors: Scott Anderson MIDDLEBROOKS, Adrianus Cornelis Matheus KOOPMAN, Markus Gerardus Martinus Maria VAN KRAAIJ, Maxim PISARENCO
  • Patent number: 10437157
    Abstract: A method and apparatus of detection, registration and quantification of an image. The method may include obtaining an image of a lithographically created structure, and applying a level set method to an object, representing the structure, of the image to create a mathematical representation of the structure. The method may include obtaining a first dataset representative of a reference image object of a structure at a nominal condition of a parameter, and obtaining second dataset representative of a template image object of the structure at a non-nominal condition of the parameter. The method may further include obtaining a deformation field representative of changes between the first dataset and the second dataset. The deformation field may be generated by transforming the second dataset to project the template image object onto the reference image object. A dependence relationship between the deformation field and change in the parameter may be obtained.
    Type: Grant
    Filed: November 13, 2015
    Date of Patent: October 8, 2019
    Assignee: ASML Netherlands B.V.
    Inventors: Scott Anderson Middlebrooks, Markus Gerardus Martinus Maria Van Kraaij, Adrianus Cornelis Matheus Koopman, Stefan Hunsche, Willem Marie Julia Marcel Coene
  • Publication number: 20190278190
    Abstract: Disclosed is a method of measuring a parameter of a lithographic process, and associated inspection apparatus. The method comprises measuring at least two target structures on a substrate using a plurality of different illumination conditions, the target structures having deliberate overlay biases; to obtain for each target structure an asymmetry measurement representing an overall asymmetry that includes contributions due to (i) the deliberate overlay biases, (ii) an overlay error during forming of the target structure and (iii) any feature asymmetry. A regression analysis is performed on the asymmetry measurement data by fitting a linear regression model to a planar representation of asymmetry measurements for one target structure against asymmetry measurements for another target structure, the linear regression model not necessarily being fitted through an origin of the planar representation. The overlay error can then be determined from a gradient described by the linear regression model.
    Type: Application
    Filed: May 24, 2019
    Publication date: September 12, 2019
    Applicant: ASML Netherlands B.V.
    Inventors: Scott Anderson MIDDLEBROOKS, Niels GEYPEN, Hendrik Jan Hidde SMILDE, Alexander STRAAIJER, Maurits VAN DER SCHAAR, Markus Gerardus Martinus Maria VAN KRAAIJ
  • Publication number: 20190278188
    Abstract: In a lithographic process, product units such as semiconductor wafers are subjected to lithographic patterning operations and chemical and physical processing operations. Alignment data or other measurements are made at stages during the performance of the process to obtain object data representing positional deviation or other parameters measured at points spatially distributed across each unit. This object data is used to obtain diagnostic information by performing a multivariate analysis to decompose a set of vectors representing the units in the multidimensional space into one or more component vectors. Diagnostic information about the industrial process is extracted using the component vectors. The performance of the industrial process for subsequent product units can be controlled based on the extracted diagnostic information.
    Type: Application
    Filed: March 13, 2019
    Publication date: September 12, 2019
    Applicant: ASML Netherlands B.V.
    Inventors: Alexander YPMA, Jasper MENGER, David DECKERS, David HAN, Adrianus Cornelis Matheus KOOPMAN, Irina LYULINA, Scott Anderson MIDDLEBROOKS, Richard Johannes Franciscus VAN HAREN, Jochem Sebastiaan WILDENBERG
  • Patent number: 10331041
    Abstract: Disclosed is a method of measuring a parameter of a lithographic process, and associated inspection apparatus. The method comprises measuring at least two target structures on a substrate using a plurality of different illumination conditions, the target structures having deliberate overlay biases; to obtain for each target structure an asymmetry measurement representing an overall asymmetry that includes contributions due to (i) the deliberate overlay biases, (ii) an overlay error during forming of the target structure and (iii) any feature asymmetry. A regression analysis is performed on the asymmetry measurement data by fitting a linear regression model to a planar representation of asymmetry measurements for one target structure against asymmetry measurements for another target structure, the linear regression model not necessarily being fitted through an origin of the planar representation. The overlay error can then be determined from a gradient described by the linear regression model.
    Type: Grant
    Filed: October 15, 2018
    Date of Patent: June 25, 2019
    Assignee: ASML Netherlands B.V.
    Inventors: Scott Anderson Middlebrooks, Niels Geypen, Hendrik Jan Hidde Smilde, Alexander Straaijer, Maurits Van Der Schaar, Markus Gerardus Martinus Maria Van Kraaij