Applied Materials, Inc.

Boguslaw A Swedek

Dominic J Benvegnu

Jeffrey Drue David

Manoocher Birang

Harry Q Lee

Ingemar Carlsson

Wen-Chiang Tu

Kun Xu

Doyle E Bennett

Nils Johansson

Andreas Norbert Wiswesser

Shih-Haur Shen

Hassan G Iravani

Lakshmanan Karuppiah

Thomas H Osterheld

Jun Qian

Jimin Zhang

Benjamin Cherian

Tzu-Yu Liu

Abraham Ravid

Zhihong Wang

David A Chan

Bret W Adams

David J Lischka

Sanjay Rajaram

Walter Schoenleber

Hiroji Hanawa

Denis Ivanov

Zhefu Wang

Fred Conrad Redeker

Yuchun Wang

Wei Guang Lu

Sivakumar Dhandapani

Stephen Jew

Zhize Zhu

Judon Tony Pan

Feng Quan Liu

Nicholas Alexander Wiswell

Gabriel Lorimer Miller

G Laurie Miller

Rajeev Bajaj

Stan D Tsai

Robert D Tolles

Alain Duboust

Arulkumar P Shanmugasundram

Sidney P Huey

David H Mai

William H McClintock

Huyen Karen Tran

Nojan Motamedi

Savitha Nanjangud

Hyeong Cheol Kim

Martin A Josefowicz

Laksh Karuppiah

Steven M Zuniga

Jeonghoon Oh

Sen-Hou Ko

Gregory E Menk

Allen L D'Ambra

You Wang

Chih Chung Chou

Jagan Rangarajan

David Maxwell Gage

Kiran Lall Shrestha

Thomas Li

Garrett H Sin

Paul V Miller

Ningzhuo Cui

Jason R Wright

Dirk De Roover

Sandeep R Koppikar

Wallter Waiter Schoenleber

Wei Lu

Pierre Fontarensky

Sanjeev Jain

Ignasi Palou-Rivera

A method of polishing a layer on the substrate at a polishing station includes the actions of monitoring the layer during polishing at the polishing station with an in-situ monitoring system to generate a plurality of measured signals for a plurality of different locations on the layer; generating, for each location of the plurality of different locations, an estimated measure of thickness of the location, the generating including processing the plurality of measured signals through a neural network; and at least one of detecting a polishing endpoint or modifying a polishing parameter based on each estimated measure of thickness.

Polishing apparatus using neural network for monitoring

A first resistivity value and a correlation function relating thickness of a conductive layer having the first resistivity value to a signal from an in-situ monitoring system are stored. A second resistivity value for a conductive layer on a substrate is received. A sequence of signal values that depend on thickness of the conductive layer is received from an in-situ electromagnetic induction monitoring system that monitors the substrate during polishing. A sequence of thickness values is generated based on the sequence of signal values and the correlation function. For at least some thickness values of the sequence of thickness values adjusted thickness values are generated that compensate for variation between the first resistivity value and the second resistivity value to generate a sequence of adjusted thickness values. A polishing endpoint is detected or an adjustment for a polishing parameter is determined based on the sequence of adjusted thickness values.

Resistivity-based adjustment of thresholds for in-situ monitoring

During chemical mechanical polishing of a substrate, a signal value that depends on a thickness of a layer in a measurement spot on a substrate undergoing polishing is determined by a first in-situ monitoring system. An image of at least the measurement spot of the substrate is generated by a second in-situ imaging system. Machine vision processing, e.g., a convolutional neural network, is used to determine a characterizing value for the measurement spot based on the image. Then a measurement value is calculated based on both the characterizing value and the signal value.

Machine vision as input to a CMP process control algorithm

An apparatus for chemical mechanical polishing includes a support for a polishing pad having a polishing surface, and an electromagnetic induction monitoring system to generate a magnetic field to monitor a substrate being polished by the polishing pad. The electromagnetic induction monitoring system includes a core and a coil wound around a portion of the core. The core includes a back portion, a center post extending from the back portion in a first direction normal to the polishing surface, and an annular rim extending from the back portion in parallel with the center post and surrounding and spaced apart from the center post by a gap. A width of the gap is less than a width of the center post, and a surface area of a top surface of the annular rim is at least two times greater than a surface area of a top surface of the center post.

Core configuration for in-situ electromagnetic induction monitoring system

Among other things, a computer-based method is described. The method comprises receiving, by one or more computers, a plurality of measured spectra reflected from a substrate at a plurality of different positions on the substrate. The substrate comprises at least two regions having different structural features. The method also comprises performing, by the one or more computers, a clustering algorithm on the plurality of measured spectra to separate the plurality of measured spectra into a number of groups based on the spectral characteristics of the plurality of measured spectra; selecting one of the number of groups to provide a selected group having a subset of spectra from the plurality of measured spectra; and determining, in the one or more computers, at least one characterizing value for the substrate based on the subset of spectra of the selected group.

Grouping spectral data from polishing substrates

A layer thickness measurement system includes a support to hold a substrate, an optical sensor to capture a color image of at least a portion of the substrate, and a controller. The controller is configured to receive the color image from the optical sensor, perform a color correction on the color image to generate an adjusted color image having increased color contrast, determine a coordinate of the pixel in a coordinate space of at least two dimensions including a first color channel and a second color channel from color data in the adjusted color image for each of the adjusted color image, and calculate a value representative of a thickness based on the coordinate of the pixel of the adjusted color image in the coordinate space.

Thickness measurement of substrate using color metrology

A metrology technique for analyzing a substrate includes storing data indicating a boundary of an area in a 2-dimensional color space having a pair of color channels including a first color channel and a second color channel as axes of the color space, receiving color data of a substrate from a camera, generating a color image of the substrate from the color data, performing a comparison of a pair of color values for the pair of color channels for the pixel to the boundary of the area in the 2-dimensional color space for each pixel of a plurality of pixels of the color image to determine whether the pair of color values meet thresholds provided by the boundary, and generating a signal to an operator based on results of the comparison for the plurality of pixels.

Color imaging for CMP monitoring

A method of detecting a polishing endpoint includes storing a plurality of library spectra, measuring a sequence of spectra from the substrate in-situ during polishing, and for each measured spectrum of the sequence of spectra, finding a best matching library spectrum from the plurality of library spectra to generate a sequence of best matching library spectra. Each library spectrum has a stored associated value representing a degree of progress through a polishing process, and the stored associated value for the best matching library spectrum is determined for each best matching library spectrum to generate a sequence of values representing a progression of polishing of the substrate. The sequence of values is compared to a target value, and a polishing endpoint is triggered when the sequence of values reaches the target value.

Endpoint detection for chemical mechanical polishing based on spectrometry

A chemical mechanical polishing apparatus includes a platen to support a polishing pad, the platen having a recess, a flexible membrane in the recess, and an in-situ vibration monitoring system to generate a signal. The in-situ acoustic monitoring system includes a vibration sensor supported by the flexible membrane and positioned to couple to an underside of the polishing pad.

Monitoring of vibrations during chemical mechanical polishing

A substrate cleaning system includes a cleaner module to clean a substrate after polishing of the substrate, a drier module to dry the substrate after cleaning by the cleaner module, a substrate support movable along a first axis from a first position in the drier module to a second position outside the drier module, and an in-line metrology station including a line-scan camera positioned to scan the substrate as the substrate is held by the substrate support and the substrate support is between the first position to the second position. The first axis is substantially parallel to a face of the substrate as held in by the substrate support.

Imaging for monitoring thickness in a substrate cleaning system

A system and method for polishing a substrate, and a retaining ring assembly therefor, are described herein. A retaining ring assembly is configured to be attached to a carrier head. The retaining ring assembly includes a retaining ring including a lower surface, an inner surface, an outer surface and a plurality of grooves, where the lower surface is configured to contact a polishing pad during a polishing process, and each of the plurality of grooves are formed in the lower surface and extend from the inner surface to the outer surface. The retaining ring assembly includes a plurality of retainers, each retainer including a movable tooth at least partially disposed in a respective groove of the retaining ring and moveable relative to the lower surface.

Multi-toothed, magnetically controlled retaining ring

A system for obtaining a measurement representative of a thickness of a layer on a substrate includes a support to hold a substrate, an optical assembly to capture two color images with light impinging the substrate at different angles of incidence, and a controller. The controller is configured to store a function that provides a value representative of a thickness as a function of position along a predetermined path in a coordinate space of at least four dimensions. For a pixel in the two color images, the controller determines a coordinate in the coordinate space from the color data, determines a position of a point on the predetermined path that is closest to the coordinate, and calculates a value representative of a thickness from the function and the position of the point on the predetermined path.

Resistivity-based adjustment of measurements from in-situ monitoring

Growing community of inventors

Cupertino, CA, United States of America

Boguslaw A Swedek