Patent ID: 11869783
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 16:
17. A computer system for generating a machine learning model for improving performance levels of semiconductor devices during fabrication, the computer system comprising:
one or more computer processors,
one or more computer readable storage media,
program instructions stored on the computer readable storage media for execution by at least one of the one or more processors, the program instructions comprising:
program instructions to determine a first set of correlations between process parameters applied to a metallization layer of semiconductor devices, and data from measurement and test operations performed subsequent to the metallization layer of the semiconductor devices, for a plurality of metallization layers performed during fabrication of a plurality of semiconductor devices;
program instructions to determine a second set of correlations between the data from measurement and test operations performed subsequent to the metallization layer of the semiconductor devices and predicted performance level of the semiconductor devices;
program instructions to generate a machine learning model, based on the first set of correlations and the second set of correlations;
program instructions to train the machine learning model to determine an initial sorting bin, a target sorting bin, and a current sorting bin of a first semiconductor device, and
program instructions to train the machine learning model to determine adjustments to process parameters of one or more subsequent metallization layers of the first semiconductor device that improves the performance level of the first semiconductor device by compensating for performance-reducing conditions detected in earlier process measurement and testing operations.