Abstract: Embodiments are disclosed for a single RGBIR camera module that is capable of imaging at both the visible and IR wavelengths. In some embodiments, a camera module comprises: an image sensor comprising: a microlens array; a color filter array (CFA) comprising a red filter, a blue filter, a green filter and at least one infrared (IR) filter; and a pixel array comprising pixels to convert light received through the color filter array into electrical signals; and an image signal processor (ISP) configured to: initiate capture of a first frame by reading signal pixels from the pixel array; initiate capture of a second frame by reading IR pixels from the pixel array; align the first and second frames; and extract the second frame from the first frame to generate a third enhanced frame.

Abstract: Methods for solving discrete quadratic models are described. The methods compute an energy of each state of each variable based on its interaction with other variables, exponential weights, and normalized probabilities proportional to the exponential weights. The energy of each variable is computed as a function of the magnitude of each variable and a current state of all other variables, exponential weights, the feasible region for each variable, and normalized probabilities, proportional to the exponential weights and respecting constraints. Methods executed via a hybrid computing system obtain two candidate values for each variable; constructs a Hamiltonian that uses a binary value to determine which candidate values each variable should take, then constructs a binary quadratic model based on the Hamiltonian. Samples from the binary quadratic model are obtained via a quantum processor.

Abstract: A system includes a plurality of inlets configured to dispense a gas into an enclosure of a substrate processing system. The enclosure is separate from processing chambers of the substrate processing system that process a semiconductor substrate. The system includes a controller configured to move into the enclosure a robot arm used to transport the semiconductor substrate between the processing chambers of the substrate processing system. The controller is configured to dispense the gas into the enclosure through one or more of the inlets in response to the robot arm being moved into the enclosure of the substrate processing system.

Abstract: At least one laser sensor and a controller are embedded into a substrate processing system communicating with a remote big data and machine learning server receiving/sending data from/to a fleet of substrate processing systems for autonomous process control and optimization. The laser sensor is arranged proximate to a region of the substrate processing system and is configured to capture first data from at least one of an edge coupling ring and a semiconductor substrate transported from/to the processing chamber to/from the region. The controller is configured to receive the first data from the laser sensor, process the first data to generate second data, transmit the second data to a remote server via a network, receive third data from the remote server via the network in response to sending the second data to the remote server, and operate the substrate processing system based on the third data for process optimization.

Abstract: A sorption structure defined in a plasma process chamber includes an inner layer having one or more heating elements to heat the sorption structure, a middle section having a coolant flow delivery network through which a coolant circulates to cool the sorption structure to a temperature to allow selective adsorption of by-products released in the process chamber, and a vacuum flow network that is connected to a vacuum line to create low pressure vacuum and remove the by-products released from the sorption structure. A lattice structure is defined over the middle section, the lattice structure includes network of openings defined in a plurality of layers to increase surface area for improved by-products adsorption. The inner section is disposed adjacent to the middle section. An outer layer of the lattice structure faces an interior region of the chamber.

Abstract: A substrate processing system comprises an edge computing device including processor that executes instructions stored in a memory to process an image or video captured by camera(s) of at least one of a substrate and a component of the substrate processing system. The component is associated with a robot transporting the substrate between processing chambers of the substrate processing system or between the substrate processing system and a second substrate processing system. The cameras are located along a travel path of the substrate. The instructions configure the processor to transmit first data from the image to a remote server via a network and to receive second data from the remote server via the network in response to transmitting the first data to the remote server. The instructions configure the processor to operate the substrate processing system according to the second data in an automated or autonomous manner.

Abstract: Systems and techniques for determining and using multiple types of offsets for providing wafers to a wafer support of a wafer station of a semiconductor processing tool are disclosed; such techniques and systems may use an autocalibration wafer that may include a plurality of sensors, including a plurality of edge-located imaging sensors that may be used to image fiducials associated with two different structures located in a selected wafer station.

Abstract: A measurement system to measure at least one of a height and a thickness of an edge ring in a plasma processing chamber includes an ultrasound transducer configured to output an ultrasound signal into the edge ring and to receive a reflected signal from the edge ring. A controller is configured to cause the ultrasound transducer to generate the ultrasound signal and to determine a thickness of the edge ring based on timing of the ultrasound signal and the reflected signal.

Abstract: Systems and methods for real time semiconductor manufacturing cluster tool health monitoring are provided via an in-situ sensor. In a method embodiment, an operation procedure for pumping/venting load lock (LL), and LL doors facing vacuum transfer module (VTM) and equipment front end module (EFEM), sensor installation location and operation procedure, and data flow and analysis process are provided. The sensor provides real-time data and monitors airborne particle contamination on EFEM, load lock (LL), and VTM, and plurality of process modules (PMs) simultaneously by correlating door open/close time and vent/pump timing in the loadlock to the particle measurement data. The method further provides an operation for determining that a maintenance procedure is recommended on one of the EFEM, the LL, the VTM, or the plurality of PMs based on the real time measurement data, door state data, and using machine learning algorithms.

Abstract: Systems and methods for real time semiconductor manufacturing cluster tool health monitoring are provided via an in-situ sensor. In a method embodiment, an operation procedure for pumping/venting load lock (LL), and LL doors facing vacuum transfer module (VTM) and equipment front end module (EFEM), sensor installation location and operation procedure, and data flow and analysis process are provided. The sensor provides real-time data and monitors airborne particle contamination on EFEM, load lock (LL), and VTM, and plurality of process modules (PMs) simultaneously by correlating door open/close time and vent/pump timing in the loadlock to the particle measurement data. The method further provides an operation for determining that a maintenance procedure is recommended on one of the EFEM, the LL, the VTM, or the plurality of PMs based on the real time measurement data, door state data, and using machine learning algorithms.