Applied Materials, Inc.

Karthikeyan Balaraman

Kartik Bhupendra Shah

Umesh M Kelkar

Mats Larsson

Kevin A Papke

Rajasekhar Patibandla

Balamurugan Ramasamy

Adolph Miller Allen

Feng Chen

Michael Sterling Jackson

Karthik Ramanathan

Satish Radhakrishnan

Wenjing Xu

Xinyuan Chong

Weize Hu

Mitrabhanu Sahu

Sathyanarayana Bindiganavale

Philip Allan Kraus

Kyle Moran Hanson

James D Carducci

Richard Charles Fovell

Silverst Rodrigues

Sathya Swaroop Ganta

William M Lu

Manjunatha Vishwanatha Adagoor

Karthick Vasu

Chirag Shaileshbhai Khairnar

Shailesh Chouriya

Robert Moore

Embodiments disclosed herein include a modular microwave source array. In an embodiment, a housing assembly for the source array comprises a first conductive layer, wherein the first conductive layer comprises a first coefficient of thermal expansion (CTE), and a second conductive layer over the first conductive layer, wherein the second conductive layer comprises a second CTE that is different than the first CTE. In an embodiment, the housing assembly further comprises a plurality of openings through the housing assembly, where each opening passes through the first conductive layer and the second conductive layer.

Modular microwave source with multiple metal housings

Process recipe data associated a process to be performed for a substrate at a process chamber is provided as input to a trained machine learning model. A set of process recipe settings for the process that minimizes scratching on one or more surfaces of the substrate is determined based on one or more outputs of the machine learning model. The process is performed for the substrate at the process chamber in accordance with the determined set of process recipe settings.

Reducing substrate surface scratching using machine learning

Embodiments of the present disclosure are directed towards a protective multilayer coating for process chamber components exposed to temperatures from about 20&#xb0; C. to about 300&#xb0; C. during use of the process chamber. The protective multilayer coating comprises a bond layer and a top layer, the bond layer is formed on a chamber component to reduce the stress between the top layer and the chamber component. The reduced stress decreases or prevents particle shedding from the top layer of the multilayer coating during and after use of the process chamber. The bond layer comprises titanium, titanium nitride, aluminum, or combinations thereof, and the top layer comprises tungsten nitride.

Protection of aluminum process chamber components

One embodiment of the disclosure provides a method of fabricating a chamber component with a coating layer disposed on an interface layer with desired film properties. In one embodiment, a method of fabricating a coating material includes providing a base structure comprising an aluminum or silicon containing material, forming an interface layer on the base structure, wherein the interface layer comprises one or more elements from at least one of Ta, Al, Si, Mg, Y, or combinations thereof, and forming a coating layer on the interface layer, wherein the coating layer has a molecular structure of SiYMgAlO. In another embodiment, a chamber component includes an interface layer disposed on a base structure, wherein the interface layer is selected from at least one of Ta, Al, Si, Mg, Y, or combinations thereof, and a coating layer disposed on the interface layer, wherein the coating layer has a molecular structure of SiYMgAlO.

Method for fabricating chamber parts

Methods and systems for reducing substrate particle scratching using machine learning are provided. A machine learning model is trained to predict process recipe settings for a substrate temperature control process to be performed for a current substrate at a manufacturing system. First training data and second training data are generated for the machine learning model. The first training data includes historical data associated with prior process recipe settings for a prior substrate temperature control process performed for a prior substrate at a prior process chamber. The second training data is associated with a historical scratch profile of one or more surfaces of the prior substrate after performance of the prior substrate temperature control process according to the prior process recipe settings. The first training data and the second training data are provided to train the machine learning model to predict which process recipe settings for the substrate temperature control process to be performed for the current substrate correspond to a target scratch profile for one or more surfaces of the current substrate.

Electroplating system seals may include an annular busbar characterized by an inner annular radius and an outer annular radius. The annular busbar may include a plurality of contact extensions. The seals may include an external seal member characterized by an inner annular radius and an outer annular radius. The external seal member may be vertically aligned with and extend inward of the contact extensions at the inner annular radius of the external seal member. The external seal member may include an interior surface at least partially facing the contact extensions. The seals may also include an internal seal member extending a first distance along the interior surface of the external seal member from the inner annular radius. The internal seal member may include a deformable material configured to support a substrate between the internal seal member and the plurality of contact extensions.

Seal apparatus for an electroplating system

Embodiments of the present disclosure provide protective coatings, i.e., diffusion and thermal barrier coatings, for aluminum alloy substrates. In particular, embodiments described herein provide a protective layer stack comprising a tantalum nitride layer disposed on an aluminum alloy substrate and a ceramic layer disposed on the tantalum nitride layer. In some embodiments, the aluminum alloy substrates comprise processing chambers and processing chamber components used in the field of electronic device manufacturing, e.g., semiconductor device manufacturing. In one embodiment, an article includes a substrate, a tantalum nitride layer disposed on the substrate, and a ceramic layer disposed on the tantalum nitride layer.

Protective layers for processing chamber components

Growing community of inventors

Bengaluru, India

Karthikeyan Balaraman