Applied Materials, Inc.

Kun Xu

Boguslaw A Swedek

Shih-Haur Shen

Hassan G Iravani

Harry Q Lee

Wen-Chiang Tu

Ingemar Carlsson

Tzu-Yu Liu

Doyle E Bennett

Benjamin Cherian

Jun Qian

David Maxwell Gage

Denis Ivanov

Kiran Lall Shrestha

Jimin Zhang

Feng Quan Liu

Yuchun Wang

Dominic J Benvegnu

Thomas H Osterheld

Lakshmanan Karuppiah

Stephen Jew

Andrew Siordia

Laksh Karuppiah

Steven M Zuniga

Jeonghoon Oh

Wei Guang Lu

Tomohiko Kitajima

Haosheng Wu

You Wang

Abraham Ravid

Zhihong Wang

James Chang Wang

David H Mai

Yutao Ma

Ningzhuo Cui

Jin Yi

Gary Ka Ho Lam

Patrick A Higashi

Christopher Lai

Eric T Wu

Kevin Lin

Pierre Fontarensky

Shih-Haur Walters Shen

A method of chemical mechanical polishing includes bringing a conductive layer of a substrate into contact with a polishing pad, supplying a polishing liquid to the polishing pad, generating relative motion between the substrate and the polishing pad, monitoring the substrate with an in-situ electromagnetic induction monitoring system as the conductive layer is polished to generate a sequence of signal values that depend on a thickness of the conductive layer, and determining a sequence of thickness values for the conductive layer based on the sequence of signal values. Determining the sequence of thickness values includes at least partially compensating for a contribution of the polishing liquid to the signal values.

Compensation for slurry composition in in-situ electromagnetic inductive monitoring

A method of compensating for a contribution of conductivity of the semiconductor wafer to a measured trace by an in-situ electromagnetic induction monitoring system includes storing or generating a modified reference trace. The modified reference trace represents measurements of a bare doped reference semiconductor wafer by an in-situ electromagnetic induction monitoring system as modified by a neutral network. The substrate is monitored with an in-situ electromagnetic induction monitoring system to generate a measured trace that depends on a thickness of the conductive layer, and at least a portion of the measured trace is applied to a neural network to generate a modified measured trace. An adjusted trace is generated, including subtracting the modified reference trace from the modified measured trace.

Compensation for substrate doping in edge reconstruction for in-situ electromagnetic inductive monitoring

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 body is brought into contact with a polishing pad of a polishing system, a polishing liquid is supplied to the polishing pad, relative motion between the body and the polishing pad is generated while the body contacts the polishing pad, a signal from an in-situ eddy current monitoring system during the relative motion while the body contacts the polishing pad, generating, and mechanical vibrations in the polishing system are detected based on a signal from the in-situ eddy current monitoring system.

Eddy current monitoring to detect vibration in polishing

Data received from an in-situ monitoring system includes, for each scan of a sensor, a plurality of measured signal values for a plurality of different locations on a layer. A thickness of a polishing pad is determined based on the data from the in-situ monitoring system. For each scan, a portion of the measured signal values are adjusted based on the thickness of the polishing pad. For each scan of the plurality of scans and each location of the plurality of different locations, a value is generated representing a thickness of the layer at the location. This includes processing the adjusted signal values using one or more processors configured by machine learning. A polishing endpoint is detected or a polishing parameter is modified based on the values representing the thicknesses at the plurality of different locations.

Polishing apparatus using machine learning and compensation for pad thickness

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

A method of polishing a substrate includes polishing a conductive layer on the substrate at a polishing station, monitoring the layer with an in-situ eddy current monitoring system to generate a plurality of measured signals values for a plurality of different locations on the layer, generating thickness measurements the locations, and detecting a polishing endpoint or modifying a polishing parameter based on the thickness measurements. The conductive layer is formed of a first material having a first conductivity. Generating includes calculating initial thickness values based on the plurality of measured signals values and processing the initial thickness values through a neural network that was trained using training data acquired by measuring calibration substrates having a conductive layer formed of a second material having a second conductivity that is lower than the first conductivity to generated adjusted thickness values.

Technique for training neural network for use in in-situ monitoring during polishing and polishing system

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

A method of training a neural network includes obtaining two ground truth thickness profiles a test substrate, obtaining two thickness profiles for the test substrate as measured by an in-situ monitoring system while the test substrate is on polishing pads of different thicknesses, generating an estimated thickness profile for another thickness value that is between the two thickness values by interpolating between the two profiles, and training a neural network using the estimated thickness profile.

Determination of substrate layer thickness with polishing pad wear compensation

Trained neural network in in-situ monitoring during polishing and polishing system

During polishing of a stack of adjacent layers, a plurality of instances of a profile control algorithm are executed on a controller with different instances having different values for a control parameter. A first instance receives a sequence of characterizing values from an in-situ monitoring system during an initial time period to control a polishing parameter, and a second instance receives the sequence of characterizing values during the initial time period and a subsequent time period to control the polishing parameter. Exposure of the underlying layer is detected based on the sequence of characterizing values from the in-situ monitoring system.

Profile control with multiple instances of contol algorithm during polishing

A method of controlling polishing includes polishing a stack of adjacent conductive layers on a substrate, measuring with an in-situ eddy current monitoring system a sequence of characterizing values for the substrate during polishing, calculating a polishing rate from the sequence of characterizing values repeatedly during polishing, calculating one or more adjustments for one or more polishing parameters based on a current polishing rate using a first control algorithm for an initial time period, detecting a change in the polishing rate that indicates exposure of the underlying conductive layer, and calculating one or more adjustments for one or more polishing parameters based on the polishing rate using a different second control algorithm for a subsequent time period after detecting the change in the polishing rate.

Switching control algorithms on detection of exposure of underlying layer during polishing

A method of chemical mechanical polishing includes bringing a substrate having a conductive layer disposed over a semiconductor wafer into contact with a polishing pad, generating relative motion between the substrate and the polishing pad, monitoring the substrate with an in-situ electromagnetic induction monitoring system as the conductive layer is polished to generate a sequence of signal values that depend on a thickness of the conductive layer, determining a sequence of thickness values for the conductive layer based on the sequence of signal values, and at least partially compensating for a contribution of conductivity of the semiconductor wafer to the signal values.

Compensation for substrate doping for in-situ electromagnetic inductive monitoring

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Sunol, CA, United States of America

Kun Xu