Applied Materials, Inc.

Nicholas Alexander Wiswell

Thomas H Osterheld

Jun Qian

Benjamin Cherian

Dominic J Benvegnu

Boguslaw A Swedek

Chih Chung Chou

Jeonghoon Oh

A chemical mechanical polishing apparatus includes a platen to support a polishing pad, a carrier head to hold a surface of a substrate against the polishing pad, a motor to generate relative motion between the platen and the carrier head so as to polish an overlying layer on the substrate, an in-situ acoustic monitoring system comprising an acoustic sensor that receives acoustic signals from the surface of the substrate, and a controller configured to determine a angular orientation of the substrate based on received acoustic signals from the in-situ acoustic monitoring system.

Determining substrate orientation with acoustic signals

A chemical mechanical polishing apparatus includes a platen to support a polishing pad, a carrier head to hold a surface of a substrate against the polishing pad, a motor to generate relative motion between the platen and the carrier head so as to polish an overlying layer on the substrate, an in-situ acoustic monitoring system comprising an acoustic sensor that receives acoustic signals from the surface of the substrate, and a controller configured to determine an angular orientation of the substrate based on received acoustic signals from the in-situ acoustic monitoring system.

Determining substrate precession with acoustic signals

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

A polishing pad includes a sensor assembly surrounded by a lower portion of the polishing pad, and an upper portion including a pad portion disposed on the assembly and at least a portion of a polishing layer disposed on the lower portion. The sensor assembly includes a lower body having a first pair of electrodes formed thereon, a polymer body having a second pair of electrodes formed thereon and aligned with the first pair of electrodes, and a pair of gaps between the first pair of electrodes and the second pair of electrodes.

Polishing system with capacitive shear sensor

A method of generating training spectra for training of a neural network includes measuring a first plurality of training spectra from one or more sample substrates, measuring a characterizing value for each training spectra of the plurality of training spectra to generate a plurality of characterizing values with each training spectrum having an associated characterizing value, measuring a plurality of dummy spectra during processing of one or more dummy substrates, and generating a second plurality of training spectra by combining the first plurality of training spectra and the plurality of dummy spectra, there being a greater number of spectra in the second plurality of training spectra than in the first plurality of training spectra. Each training spectrum of the second plurality of training spectra having an associated characterizing value.

Training spectrum generation for machine learning system for spectrographic monitoring

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 chemical mechanical polishing system includes a platen to support a polishing pad, a carrier head to hold a substrate and bring a lower surface of the substrate into contact with the polishing pad, and an in-situ friction monitoring system including a friction sensor. The friction sensor includes a pad portion having a substrate contacting portion with an upper surface to contact the lower surface of the substrate, and a pair of capacitive sensors positioned below and on opposing sides of the substrate contacting portion.

A method of generating training spectra for training of a neural network includes generating a plurality of theoretically generated initial spectra from an optical model, sending the plurality of theoretically generated initial spectra to a feedforward neural network to generate a plurality of modified theoretically generated spectra, sending an output of the feedforward neural network and empirically collected spectra to a discriminatory convolutional neural network, determining that the discriminatory convolutional neural network does not discriminate between the modified theoretically generated spectra and empirically collected spectra, and thereafter, generating a plurality of training spectra from the feedforward neural network.

Methods and apparatus for monitoring and controlling relative concentrations of polishing fluid additives and, or, the distribution of a polishing fluid and, or, polishing fluid additives across the surface of a polishing pad during chemical mechanical planarization (CMP) of a substrate are provided herein. In one embodiment, a method for polishing a substrate includes delivering a polishing fluid to one or more locations on a polishing surface of a polishing pad, wherein the polishing fluid comprises an optical marker; detecting optical information at a plurality of locations across a scan region of the polishing surface using an optical sensor facing theretowards; communicating the optical information to a system controller; determining a polishing fluid distribution across the scan region using the optical information; and changing an aspect of the delivery of the polishing fluid based on the polishing fluid distribution.

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San Jose, CA, United States of America

Nicholas Alexander Wiswell