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Abstract Excimer lasers play a key role in deep ultraviolet lithography. To further study the voltage and energy features of the excimer laser and control it to work in a constant energy mode, a temporal convolutional neural network was designed to fabricate an excimer laser voltage–energy model. The proposed model uses the currently measured energy data to predict the subsequent output energy data.
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