Abstract: A chemical mechanical polishing apparatus has a platen to support a polishing pad, the platen having a recess, a carrier head to hold a surface of a substrate against the polishing pad and comprising a retaining ring to retain the substrate below the carrier head, a motor to generate relative motion between the platen and the carrier head so as to polish the substrate, an in-situ acoustic monitoring system comprising an acoustic sensor arranged in the recess that receives acoustic energy from friction between the substrate and the polishing pad and from friction between the retaining ring and the polishing pad, and a controller configured to generate a value for a carrier head status parameter based on received acoustic signals from the in-situ acoustic monitoring system, and change or polishing parameter or generate an alert based on the carrier head status parameter.

Abstract: A chemical mechanical polishing apparatus includes a platen to support a polishing pad, a conditioner head to hold a conditioner disk in contact with the polishing pad, a motor to generate relative motion between the polishing pad and the conditioner disk so as to condition the polishing pad, an in-situ acoustic monitoring system having an acoustic sensor to receive acoustic signals from the conditioner disk, and a controller configured to analyze a signal from the acoustic sensor and determine a characteristic of the conditioner disk or conditioner head based on the signal.

Abstract: A chemical mechanical polishing apparatus, including a platen supporting 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 array of acoustic sensors arranged within the carrier head to receive acoustic signals from the surface of the substrate; and a controller configured to detect a position of an acoustic event on the surface of the substrate based on received acoustic signals from the array of acoustic sensors.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A polishing pad includes a polishing layer, a backing layer, and an acoustic window extending through the backing layer and the polishing layer, wherein an upper surface of the acoustic window is coplanar with a polishing surface of the polishing layer.

Abstract: 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 window having a top surface to contact the substrate, and a controller configured to detect a polishing endpoint based on received acoustic signals from the in-situ acoustic monitoring system.

Abstract: A polishing pad includes a polishing layer, a backing layer, and an acoustic window of solid material having an acoustic impedance less than that of the backing layer and extending through the backing layer to contact the bottom surface of the polishing layer.

Abstract: A chemical mechanical polishing apparatus includes a platen, a polishing pad supported on the platen, a carrier head to hold a surface of a substrate against a polishing surface of the polishing pad, and a motor to generate relative motion between the platen and the carrier head so as to polish an overlying layer of the substrate. The polishing pad includes a polishing layer of a solid matrix material with liquid-filled pores, and a backing layer. An in-situ acoustic monitoring system includes an acoustic sensor coupled to the backing layer to receive acoustic signals from the substrate, and a controller is configured to detect a polishing transition point based on received acoustic signals from the in-situ acoustic monitoring system.

Abstract: A chemical mechanical polishing apparatus includes a platen, a polishing pad supported on the platen, 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 detect planarization of topology on the substrate based on a signal from the in-situ acoustic monitoring system.

Abstract: 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.

Abstract: A chemical mechanical polishing apparatus includes a platen to support a polishing pad, a carrier head to 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, and a controller. The controller is configured to detect exposure of an underlying layer due to the polishing of the substrate based on measurements from the in-situ acoustic monitoring system. The in-situ acoustic monitoring system may detect exposure of an underlying layer based on comparison of the signal to prior measurements of acoustic signals generated by stress energy of test substrates.

Abstract: A chemical mechanical polishing apparatus includes a platen to support a polishing pad, a carrier head to 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, and a controller. The in-situ acoustic monitoring system includes an acoustic signal generator to emit acoustic signals and an acoustic signal sensor that receives acoustic signals reflected from the surface of the substrate. The controller is configured to detect exposure of an underlying layer due to the polishing of the substrate based on measurements from the in-situ acoustic monitoring system.