Neural Network Methods and Apparatuses for Monitoring Substrate Processing
First Claim
1. A method for monitoring film thickness of a substrate in a substrate processing system, comprising:
- monitoring a first set of reflected electromagnetic radiation from an electromagnetic radiation source during processing of a first set of one or more substrates;
associating the first set of reflected electromagnetic radiation to a film thickness profile of the first set of one or more substrates to form a first set of training data;
monitoring a second set of reflected electromagnetic radiation from the electromagnetic radiation source during processing of a second set of one or more substrates; and
using the first set of training data to predict a film thickness profile of the second set of one or more substrates during processing of the second set of one or more substrates.
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Abstract
Aspects of the present invention include methods and apparatuses that may be used for monitoring substrate processing systems. One embodiment may provide an apparatus for obtaining in-situ data regarding processing of a substrate in a substrate processing chamber, comprising a data collecting assembly for acquiring training data related to a substrate disposed in a processing chamber, an electromagnetic radiation source, at least one in-situ metrology module to provide measurement data, and a computer, wherein the computer includes a neural network software, wherein the neural network software is adapted to model a relationship between the plurality of the training and other data related to substrate processing.
44 Citations
20 Claims
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1. A method for monitoring film thickness of a substrate in a substrate processing system, comprising:
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monitoring a first set of reflected electromagnetic radiation from an electromagnetic radiation source during processing of a first set of one or more substrates;
associating the first set of reflected electromagnetic radiation to a film thickness profile of the first set of one or more substrates to form a first set of training data;
monitoring a second set of reflected electromagnetic radiation from the electromagnetic radiation source during processing of a second set of one or more substrates; and
using the first set of training data to predict a film thickness profile of the second set of one or more substrates during processing of the second set of one or more substrates. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. Apparatus for obtaining in-situ data regarding processing of a substrate in a substrate processing chamber, comprising:
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a data collecting assembly for acquiring training data related to a substrate disposed in a processing chamber;
an electromagnetic radiation source;
at least one in-situ metrology module to provide measurement data; and
a computer, wherein the computer includes a neural network software, wherein the neural network software is adapted to model a relationship between the plurality of the training and other data related to substrate processing. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. A method for monitoring an etch depth profile of a substrate feature in a substrate processing system, comprising:
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monitoring a first set of reflected electromagnetic radiation from an electromagnetic radiation source during processing of a first set of one or more substrates;
associating the first set of reflected electromagnetic radiation to an etch depth profile of the first set of one or more substrates to form a first set of training data, wherein the associating the first set of reflected electromagnetic radiation is perform by a neural network software;
monitoring a second set of reflected electromagnetic radiation from the electromagnetic radiation source during processing of a second set of one or more substrates; and
using the first set of training data to predict an etch depth of the second set of one or more substrates during processing of the second set of one or more substrates. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification