Patent ID: 11940488
Assignee: XCALIPR CORPORATION
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 8:
9. A method for controlling a semiconductor process tool, the method executed by a computer and comprising:
establishing a machine learning based process control model that correlates sensor data from the semiconductor process tool with one or more electronic transport properties of a semiconductor wafer processed by the process tool;
receiving sensor data from the semiconductor process tool;
using the process control model to predict, from the received sensor data, one or more electronic transport properties of a semiconductor wafer processed by the process tool;
receiving one or more ground truth electronic transport properties of the semiconductor wafer processed by the process tool, wherein said one or more ground truth electronic transport properties have been determined using one or more Z-scan PMR data profiles acquired from the semiconductor wafer processed by the process tool;
comparing the one or more ground truth electronic transport properties with the one or more predicted electronic transport properties; and
using the process control model to update operational settings of the process tool for wafers to be processed to minimize wafer-to-wafer variability of electronic transport properties.