Patent classifications
H01L21/67155
CONFORMAL MANUFACTURING DEVICE AND METHOD FOR COMPLEX CURVED-SURFACE ELECTRONIC SYSTEM
The invention belongs to a related field of electronic manufacturing technology, and particularly relates to a conformal manufacturing device and a method for a complex curved-surface electronic system, the system includes a support platform and a six-degree-of-freedom spherical motor linkage platform, a 3D measurement module, a laser lift-off module, a curved-surface transfer printing module and a conformal jet printing module respectively mounted on the support platform and independently controllable, and specific structures and work modes of these key components are improved. The invention further discloses a corresponding manufacturing method. Through the invention, multiple process flows required in conformal manufacturing process of the complex curved-surface electronic system are effectively integrated into an integrated device, so as to realize conformal hybrid manufacturing of the rigid/flexible curved-surface electronic system with arbitrary area, and the invention has advantages of high precision, high efficiency and high automation, which greatly broadens the application scope of the curved-surface electronic manufacturing technology.
Adaptive chamber matching in advanced semiconductor process control
Systems and methods for controlling device performance variability during manufacturing of a device on wafers are disclosed. The system includes a process platform, on-board metrology (OBM) tools, and a first server that stores a machine-learning based process control model. The first server combines virtual metrology (VM) data and OBM data to predict a spatial distribution of one or more dimensions of interest on a wafer. The system further comprises an in-line metrology tool, such as SEM, to measure the one or more dimensions of interest on a subset of wafers sampled from each lot. A second server having a machine-learning engine receives from the first server the predicted spatial distribution of the one or more dimensions of interest based on VM and OBM, and also receives SEM metrology data, and updates the process control model periodically (e.g., to account for chamber-to-chamber variability) using machine learning techniques.
SYSTEM WITH DUAL-MOTION SUBSTRATE CARRIERS
A processing system is provided, including a vacuum enclosure having a plurality of process windows and a continuous track positioned therein; a plurality of processing chambers attached sidewalls of the vacuum enclosures, each processing chamber about one of the process windows; a loadlock attached at one end of the vacuum enclosure and having a loading track positioned therein; at least one gate valve separating the loadlock from the vacuum enclosure; a plurality of substrate carriers configured to travel on the continuous track and the loading track; at least one track exchanger positioned within the vacuum enclosure, the track exchangers movable between a first position, wherein substrate carriers are made to continuously move on the continuous track, and a second position wherein the substrate carriers are made to transfer between the continuous track and the loading track.
SYSTEMS AND METHODS TO MONITOR PARTICULATE ACCUMULATION FOR BAKE CHAMBER CLEANING
Various embodiments of monitoring systems and methods are disclosed herein to monitor particulate accumulation within a bake chamber configured to thermally treat substrates, and determine when the bake chamber requires cleaning. Embodiments of the disclosed monitoring system may generally include one or more sensors to monitor particulate accumulation on one or more inside surfaces of a bake chamber and/or a bake chamber lid assembly, and a controller, which is coupled to receive a sensor output from the one or more sensors and configured to use the sensor output to determine when cleaning is needed. Various types of sensors including, but not limited to, optical sensors, and surface acoustic wave-based sensors may be used in the present disclosure to monitor particulate accumulation inside the bake chamber.
Device maintenance in semiconductor manufacturing environment
A system for maintaining a device in a semiconductor manufacturing environment that includes a controller configured to determine a distance travelled by the device within the semiconductor manufacturing environment, where the device has a feature that selectively engages a carrier configured to carry a semiconductor wafer such that the device moves the semiconductor wafer to different processing stations within the semiconductor manufacturing environment. The system also includes an inspection component configured to inspect the device responsive to the distance travelled by the device exceeding a distance threshold, a repair component configured to repair the device responsive to a repair indication from at least one of the controller or the inspection component, and a cleaning component configured to clean the device responsive to a clean indication from at least one of the controller or the inspection component.
Magnetic memory device, method for manufacturing the same, and substrate treating apparatus
A magnetic memory device, a method for manufacturing a magnetic memory device, and a substrate treating apparatus, the device including a substrate including a first memory region and a second memory region; a first magnetic tunnel junction pattern on the first memory region, the first magnetic tunnel junction pattern including a first free pattern and a first oxide pattern on the first free pattern; and a second magnetic tunnel junction pattern on the second memory region, the second magnetic tunnel junction pattern including a second free pattern and a second oxide pattern on the second free pattern, wherein a ratio of a thickness of the first oxide pattern to a thickness of the first free pattern is different from a ratio of a thickness of the second oxide pattern to a thickness of the second free pattern.
Semiconductor manufacturing system, behavior recognition device and semiconductor manufacturing method
A behavior recognition device for recognizing behaviors of a semiconductor manufacturing apparatus includes a storage device and a control unit. The storage device is configured to store log data of the semiconductor manufacturing apparatus. The control unit is cooperatively connected to the storage device, and configured to build a transition state model based on the log data to analyze behaviors related to wafer transfer sequences and manufacturing operations of the semiconductor manufacturing apparatus.
Substrate processing method, substrate processing apparatus and substrate processing system
There is provided a substrate processing method which includes: treating a substrate using a fluorine-containing gas; and exposing the substrate to a moisture-containing atmosphere.
SEAL MECHANISM FOR LOAD PORT DOORS
The disclosure describes devices and systems for a seal, and methods for using said seal. A seal includes a base portion configured to couple to a groove formed by an edge surface of a first component. The seal further includes a sealing portion extending from the base portion. The sealing portion is configured to create an airtight seal between the first component and a sealing surface of a second component responsive to a threshold sealing force being applied against the sealing portion. The seal further includes a retaining portion substantially perpendicular to the base portion. A surface of the retaining portion is configured to push against the edge surface of the first component responsive to the threshold sealing force being applied against the sealing portion.
Matching process controllers for improved matching of process
Described herein are methods and systems for chamber matching in a manufacturing facility. A method may include receiving a first chamber recipe advice for a first chamber and a second chamber recipe advice for a second chamber. The chamber recipe advices describe a set of tunable inputs and a set of outputs for a process. The method may further include adjusting at least one of the set of first chamber input parameters or the set of second chamber input parameters and at least one of the set of first chamber output parameters or the set of second chamber output parameters to substantially match the first and second chamber recipe advices.