Applied Materials had 11 patents in digitalization during Q2 2024. Applied Materials Inc filed patents related to methods for updating digital replicas of manufacturing equipment based on sensor data to predict performance and trigger corrective actions, field adjusting calibrating factors of RF impedance matches for plasma chambers, preparing virtual substrates for display on a GUI and measuring characteristics using a three-dimensional probe, and monitoring chamber conditions to predict cleanliness and trigger preventive maintenance. GlobalData’s report on Applied Materials gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Applied Materials had no grants in digitalization as a theme in Q2 2024.
Recent Patents
Application: Performing radio frequency matching control using a model-based digital twin (Patent ID: US20240162009A1)
The patent filed by Applied Materials Inc. describes a method that involves receiving sensor data from manufacturing equipment, updating a digital replica of the equipment based on this data, obtaining predictive data from the digital replica, and then causing corrective actions to be performed based on this predictive data. The digital replica is a virtual model reflecting the physical elements and dynamics of the manufacturing equipment's operation. The method includes optimizing the digital replica if it fails to meet accuracy criteria, updating models associated with the digital replica using sensor data, and generating predictive data using machine learning models.
The system described in the patent includes a memory and a processing device that receives sensor data, updates the digital replica of the manufacturing equipment, obtains predictive data, and causes corrective actions to be performed. The processing device can optimize the digital replica, update models based on sensor data, and generate predictive data using machine learning models. The system is designed to adjust variable capacitors associated with the manufacturing equipment's matching network based on the predictive data, ensuring optimal performance. Additionally, a non-transitory machine-readable storage medium storing instructions for performing these operations is also described in the patent, highlighting the importance of updating digital replicas and utilizing predictive data for efficient manufacturing equipment operation.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
