Computer vision for susceptor leveling and alignment

US2025349589A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2025349589-A1
Application numberUS-202418662802-A
CountryUS
Kind codeA1
Filing dateMay 13, 2024
Priority dateMay 13, 2024
Publication dateNov 13, 2025
Grant date

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Abstract

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Methods and devices for aligning a susceptor are provided herein. Embodiments include creating a three-dimensional (3D) map of a susceptor and a ring within a substrate processing chamber based on camera data comprising image data associated with the susceptor and the ring. Embodiments further include adjusting a position of the susceptor based on the 3D map to create a gap having a target size between the susceptor and the ring.

First claim

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What is claimed is: 1 . A method of positioning a substrate susceptor, comprising: creating a three-dimensional (3D) map of a susceptor and a ring within a substrate processing chamber based on camera data comprising image data associated with the susceptor and the ring; and adjusting a position of the susceptor based on the 3D map to create a gap having a target size between the susceptor and the ring. 2 . The method of claim 1 , wherein creating the 3D map is further based on position data received from a two-dimensional (2D) profilometer. 3 . The method of claim 2 , wherein the 3D map is created by a machine learning model that is trained through a supervised learning process involving the position data to create 3D maps. 4 . The method of claim 3 , wherein creating the 3D map is further based on: receiving additional position data from the 2D profilometer after the adjusting of the position of the susceptor; and retraining the machine learning model using the additional position data, wherein the retrained machine learning model is used to update the 3D map. 5 . The method of claim 3 , wherein the supervised learning process comprises iteratively adjusting parameters of the machine learning model until a characteristic of the 3D map matches a characteristic indicated by the position data. 6 . The method of claim 1 , wherein the gap is created based on using an optimization algorithm to adjust the position of the susceptor based on the 3D map. 7 . The method of claim 1 , wherein the gap is created based on using a machine learning model that is trained to adjust the position of the susceptor based on the 3D map. 8 . The method of claim 1 , wherein the gap between the susceptor and the ring is substantially equidistant. 9 . The method of claim 1 , wherein adjusting the position of the susceptor further comprises adjusting the susceptor so that the susceptor is substantially level with the ring. 10 . The method of claim 1 , wherein the susceptor comprises an arm and a substrate holder, wherein the arm of the susceptor is configured to translate the substrate holder within a substrate processing chamber and tilt the substrate holder in order to create the gap. 11 . The method of claim 1 , wherein the camera data is provided by a camera system comprising three cameras positioned along a circumference of the ring. 12 . A method of positioning a substrate susceptor, comprising: creating a three-dimensional (3D) map of a susceptor and a ring within a substrate processing chamber by: receiving camera data comprising image data and depth data associated with the susceptor and the ring; creating the 3D map based on the camera data using a machine learning model trained, based on position data from a two-dimensional (2D) profilometer indicating a location of the susceptor relative to the ring, to create 3D maps; adjusting the position of the susceptor; receiving additional position data from the 2D profilometer; receiving additional camera data; and retraining the machine learning model using the additional position data, wherein the retrained machine learning model is used to update the 3D map; and adjusting the position of the susceptor based on providing the 3D map to an optimization algorithm to create a gap having a target size between the susceptor and the ring. 13 . A processing chamber system configured for susceptor alignment, comprising: a processing chamber for processing substrates; a susceptor configured to hold a substrate; a ring; a camera system configured to capture camera data comprising image data associated with the susceptor and the ring; and a computing device capable of: creating a three-dimensional (3D) map of the susceptor and the ring within the substrate processing chamber based on camera data comprising image data associated with the susceptor and the ring; and adjusting a position of the susceptor based on the 3D map to create a gap having a target size between the susceptor and the ring. 14 . The processing chamber system of claim 13 , wherein creating the 3D map is further based on position data received from a two-dimensional (2D) profilometer. 15 . The processing chamber system of claim 14 , wherein the 3D map is created by a machine learning model that is trained through a supervised learning process involving the position data to create 3D maps. 16 . The processing chamber system of claim 15 , wherein creating the 3D map is further based on: receiving additional position data from the 2D profilometer after the adjusting of the position of the susceptor; and retraining the machine learning model using the additional position data, wherein the retrained machine learning model is used to update the 3D map. 17 . The processing chamber system of claim 15 , wherein supervised learning process comprises iteratively adjusting parameters of the machine learning model until a characteristic of the 3D map matches a characteristic indicated by the position data. 18 . The processing chamber system of claim 13 , wherein the gap is created based on using an optimization algorithm to adjust the position of the susceptor based on the 3D map. 19 . The processing chamber system of claim 13 , wherein the gap is created based on using a machine learning model that is trained to adjust the position of the susceptor based on the 3D map. 20 . The processing chamber system of claim 13 , wherein the susceptor comprises an arm and a substrate holder, wherein the arm of the susceptor is configured to translate the substrate holder within a substrate processing chamber and tilt the substrate holder in order to create the gap.

Assignees

Inventors

Classifications

  • H10P72/53Primary

    using optical controlling means · CPC title

  • characterised by control arrangements for positioning, e.g. centring a tool relative to a hole in the workpiece, additional detection means to correct position (G05B19/19 takes precedence) · CPC title

  • the criterion being a learning criterion · CPC title

  • H01L21/681Primary

    Electricity · mapped topic

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What does patent US2025349589A1 cover?
Methods and devices for aligning a susceptor are provided herein. Embodiments include creating a three-dimensional (3D) map of a susceptor and a ring within a substrate processing chamber based on camera data comprising image data associated with the susceptor and the ring. Embodiments further include adjusting a position of the susceptor based on the 3D map to create a gap having a target size…
Who is the assignee on this patent?
Applied Materials Inc
What technology area does this patent fall under?
Primary CPC classification H10P72/53. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Nov 13 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).