Asml Netherlands B.v.

Abraham Slachter

Wim Tjibbo Tel

Koenraad Van Ingen Schenau

Mark John Maslow

Frank Staals

Patrick Warnaar

Stefan Hunsche

Marinus Jochemsen

Simon Hendrik Celine Van Gorp

Brennan Peterson

Roy Anunciado

Anton Bernhard Van Oosten

Gijsbert Rispens

Marleen Kooiman

Vadim Yourievich Timoshkov

Koen Wilhelmus Cornelis Adrianus Van Der Straten

Youping Zhang

Yi Zou

Maxim Pisarenco

Yana Cheng

Daan Maurits Slotboom

Chenxi Lin

Hermanus Adrianus Dillen

Cyrus Emil Tabery

Maxime Philippe Frederic Genin

Fuming Wang

Marie-Claire Van Lare

Simon Philip Spencer Hastings

Ruben Cornelis Maas

Boris Menchtchikov

Sudharshanan Raghunathan

Aiqin Jiang

Pieter Joseph Marie Wöltgens

Luis Alberto Colina Santamaría Colina

Sunit Sondhi Mahajan

Antonio Corradi

Bernardo Andres Oyarzun Rivera

Methods related to improving a simulation processes and solutions (e.g., retargeted patterns) associated with manufacturing of a chip. A method includes obtaining a plurality of dose-focus settings, and a reference distribution based on measured values of a characteristic of a printed pattern associated with each setting of the plurality of dose-focus settings. The method further includes, based on an adjustment model and the plurality of dose-focus settings, determining a probability density function (PDF) of the characteristic such that an error between the PDF and the reference distribution is reduced. The PDF can be a function of the adjustment model and variance associated with dose, the adjustment model being configured to change a proportion of non-linear dose sensitivity contribution to the PDF. A process window can be adjusted based on the determined PDF of the characteristic.

Method for calibrating simulation process based on defect-based process window

Described herein is a method of training a model configured to predict whether a feature associated with an imaged substrate will be defective after etching of the imaged substrate and determining etch conditions based on the trained model. The method includes obtaining, via a metrology tool, (i) an after development image of the imaged substrate at a given location, the after development image including a plurality of features, and (ii) an after etch image of the imaged substrate at the given location; and training, using the after development image and the after etch image, the model configured to determine defectiveness of a given feature of the plurality of features in the after development image. In an embodiment, the determining of defectiveness is based on comparing the given feature in the after development image with a corresponding etch feature in the after etch image.

Method for determining defectiveness of pattern based on after development image

A method including: obtaining an image of at least part of a substrate, wherein the image includes at least one feature manufactured on the substrate by a manufacturing process including a lithographic process and one or more further processes; determining one or more image-related metrics in dependence on a contour determined from the image, wherein one of the one or more image-related metrics is an edge placement error, EPE, of the at least one feature; and determining one or more control parameters of the lithographic process and/or the one or more further processes in dependence on the edge placement error, wherein at least one control parameter is determined so as to minimize the edge placement error of the at least one feature.

Method of determining control parameters of a device manufacturing process

A method for analyzing a process, the method including obtaining a multi-dimensional probability density function representing an expected distribution of values for a plurality of process parameters; obtaining a performance function relating values of the process parameters to a performance metric of the process; and using the performance function to map the probability density function to a performance probability function having the process parameters as arguments.

Method of manufacturing devices

A method including obtaining (i) measurements of a parameter of the feature, (ii) data related to a process variable of a patterning process, (iii) a functional behavior of the parameter defined as a function of the process variable based on the measurements of the parameter and the data related to the process variable, (iv) measurements of a failure rate of the feature, and (v) a probability density function of the process variable for a setting of the process variable, converting the probability density function of the process variable to a probability density function of the parameter based on a conversion function, where the conversion function is determined based on the function of the process variable, and determining a parameter limit of the parameter based on the probability density function of the parameter and the measurements of the failure rate.

Process window based on defect probability

A method including: obtaining an image of at least part of a substrate, wherein the image includes at least one feature of a device being manufactured in a layer on the substrate; obtaining a layout of features associated with a previous layer adjacent to the layer on the substrate; calculating one or more image-related metrics in dependence on: 1) a contour determined from the image including the at least one feature and 2) the layout; and determining one or more control parameters of a lithographic apparatus and/or one or more further processes in a manufacturing process of the device in dependence on the one or more image-related metrics, wherein at least one of the control parameters is determined to modify the geometry of the contour in order to improve the one or more image-related metrics.

A method for determining a metric of a feature on a substrate obtained by a semiconductor manufacturing process involving a lithographic process, the method including: obtaining an image of at least part of the substrate, wherein the image includes at least the feature; determining a contour of the feature from the image; determining a plurality of segments of the contour; determining respective weights for each of the plurality of segments; determining, for each of the segments, an image-related metric; and determining the metric of the feature in dependence on the weights and the calculated image-related metric of each of the segments.

A method for controlling a processing apparatus used in a semiconductor manufacturing process to form a structure on a substrate, the method including: obtaining a relationship between a geometric parameter of the structure and a performance characteristic of a device including the structure; and determining a process setting for the processing apparatus associated with a location on the substrate, wherein the process setting is at least partially based on an expected value of the geometric parameter of the structure when using the processing setting, a desired performance characteristic of the device and an expected physical yield margin or defect yield margin associated with the location on the substrate.

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Waalre, Netherlands

Abraham Slachter