Abstract:
Generating a control output for a patterning process is described. A control input is received. The control input is for controlling the patterning process. The control input comprises one or more parameters used in the patterning process. The control output is generated with a trained machine learning model based on the control input. The machine learning model is trained with training data generated from simulation of the patterning process and/or actual process data. The training data comprises 1) a plurality of training control inputs corresponding to a plurality of operational conditions of the patterning process, where the plurality of operational conditions of the patterning process are associated with operational condition specific behavior of the patterning process over time, and 2) training control outputs generated using a physical model based on the training control inputs.
Abstract:
A method for compensating for an exposure error in an exposure process of a lithographic apparatus that comprises a substrate table, the method comprising: obtaining a dose measurement indicative of a dose of IR radiation that reaches substrate level, wherein the dose measurement can be used to calculate an amount of IR radiation absorbed by an object in the lithographic apparatus during an exposure process; and using the dose measurement to control the exposure process so as to compensate for an exposure error associated with the IR radiation absorbed by the object during the exposure process.