CPC G06N 20/00 (2019.01) [G03F 7/705 (2013.01); G03F 7/70616 (2013.01)] | 20 Claims |
1. A method comprising:
obtaining a first model trained on first process data and first performance data;
identifying one or more substrates based on a quality of prediction of the first model when applied to process data associated with the one or more substrates;
training, by a hardware computer system, a second model on second process data and second performance data associated with a process of patterning substrates and associated with the identified one or more substrates; and
using the second model to determine a contribution of a process feature of the second process data to the second performance data associated with the one or more substrates.
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