Abstract:
A technique of detecting an abnormality in measuring of a film thickness of a workpiece, such as a wafer, is disclosed. A method includes: generating multiple spectra of reflected light from multiple measurement points on a workpiece over a predetermined period of time during polishing of the workpiece; classifying the multiple spectra into a plurality of groups including at least a first group and a second group according to feature of each of the multiple spectra; determining a monitoring index value based on at least the number of spectra included in the first group; and detecting an abnormality in measuring of the film thickness of the at least one workpiece based on comparison of the monitoring index value with a threshold value.
Abstract:
In a first step, an output of an eddy current sensor is measured while a polishing target whose film thickness has been known is in contact with the polishing face, thereby obtaining a measurement value of the eddy current sensor which corresponds to the film thickness. In a second step, an output of the eddy current sensor is measured when the polishing target is polished while pressed against the polishing face, thereby obtaining a measurement value of the eddy current sensor that corresponds to a film thickness during polishing. A correspondence relationship between the film thickness of the polishing target and the measurement value of the eddy current sensor is determined from the measurement value obtained in the first step and the measurement value obtained in the second step.
Abstract:
An eddy current sensor 1-50 arranged in the vicinity of a substrate includes a core part 1-60 and a coil part 1-61. The core part 1-60 includes a common part 1-65, and four cantilever parts 1-66 to 69 connected to the common part 1-65. Ends of a first cantilever part 1-66 and a second cantilever part 1-67 are close and adjacent to each other. Ends of a third cantilever part 1-69 and a fourth cantilever part 1-68 are close and adjacent to each other. At the common part 1-65, an excitation coil is arranged. A first detection coil 1-631 is arranged at the first cantilever part 1-66 and a second detection coil 1-632 is arranged at the second cantilever part 1-67. A first dummy coil 1-642 is arranged at the third cantilever part 1-69, and a second dummy coil 1-641 is arranged at the fourth cantilever part 1-68.
Abstract:
A polishing apparatus includes: a polishing table for supporting a polishing pad; a substrate holder having a substrate holding surface and a pressure chamber formed by a flexible membrane, the substrate holder being configured to hold a substrate on the substrate holding surface and press the substrate against the polishing pad via pressure in the pressure chamber; a substrate separation assisting device configured to eject a fluid to a contact portion between the substrate and the flexible membrane so as to release the substrate from the substrate holding surface; and a vertically-moving mechanism configured to vertically move the substrate holder. The substrate holder is moved vertically in accordance with an amount of descent of the contact portion and then the substrate separation assisting device ejects the fluid to the contact portion.
Abstract:
A substrate drying apparatus includes a drying gas nozzle configured so that, assuming that a surface WA of the substrate W is a projection plane, regarding the drying gas flow Gf in the nozzle moving direction Dr, a collision position Gfw with the substrate W is located downstream of a projected discharge position Gfv′, the projected discharge position Gfv′ being a discharge position from the drying gas nozzle projected on the projection plane. In a three-dimensional space, the drying gas flow Gf is inclined, such that an angle α formed by an axis Ga of the drying gas flow Gf and a vertical line Wp of the substrate W is in a range from a half contact angle θ/2 to an angle determined by deducting the half contact angle θ/2 from 90°, the half contact angle θ/2 being a half of the contact angle θ.
Abstract:
Included are: at least one sensor that detects a physical quantity of an object during polishing and/or during cleaning and/or during drying of a substrate; a conversion section that converts a sensor value during polishing and/or during cleaning and/or during drying detected by the sensor into a feature amount for each processing step with respect to a trained machine learning model; and an inference section that outputs at least one predicted value of a number of defects, a size of a defect, and a position of a defect in a target substrate by inputting target data including the feature amount to the trained machine learning model.
Abstract:
The present invention relates to a technique of calculating a responsiveness of a polishing rate to change in a pressure to press a workpiece, such as a wafer, a substrate, or a panel, for use in manufacturing of semiconductor devices, against a polishing pad. A method includes: performing simulation to calculate a pressing-pressure responsiveness profile indicating a distribution of pressing pressure, which is to be applied from the workpiece to a polishing pad (2), changed in response to a change in unit pressure in the pressure chamber of a polishing head (7); pressing the workpiece against the polishing pad to polish the workpiece, while a predetermined pressure is maintained in the pressure chamber; creating a polishing-rate profile indicating a distribution of polishing rate of the polished workpiece; and creating the polishing-rate responsiveness profile based on the pressing-pressure responsiveness profile, the predetermined pressure, and the polishing-rate profile.
Abstract:
A method capable of accurately obtaining polishing-rate responsiveness to a change in pressure for pressing a workpiece, such as a wafer, against a polishing pad is disclosed. The method includes: creating an estimated polishing-rate responsiveness profile using simulation, the estimated polishing-rate responsiveness profile indicating a distribution of polishing-rate responsiveness to pressure change in the first pressure chamber; creating an actual polishing-rate responsiveness profile using polishing results of a workpiece, the actual polishing-rate responsiveness profile indicating a distribution of polishing-rate responsiveness to pressure change in the second pressure chamber, and creating a hybrid polishing-rate responsiveness profile by combining the estimated polishing-rate responsiveness profile and the actual polishing-rate responsiveness profile.
Abstract:
The polishing process includes a first state where an eddy current sensor and a polishing target object do not face each other and a second state where the eddy current sensor and the polishing target object face each other. The method of correcting a film thickness measurement value includes obtaining a first measurement signal (Xout, Yout) output from the eddy current sensor in the first state (step S108), computing a correction value (ΔX, ΔY) on the basis of the obtained first measurement signal and a reference signal (Xsd, Ysd) set in advance, obtaining a second measurement signal (X, Y) output from the eddy current sensor in the second state (step S104), and correcting the obtained second measurement signal on the basis of the computed correction value while the polishing process is being performed (step S105).
Abstract:
A conveyance abnormality prediction system includes an estimation unit that has a learned model having machine learned a relationship between a data set including sensor data outputted, at a time of substrate transport in the past, from each of a plurality of sensors provided on a substrate transport unit and a degree of conveyance abnormality at the time of the substrate transport, estimates a degree of conveyance abnormality at a time of new substrate transport by using, as an input, a data set including sensor data outputted from each of the plurality of sensors at the time of the new substrate transport, and outputs the estimated degree of conveyance abnormality.