Work

Prediction of Cross-Sectional Images and Proposing Processes with Neural Network

Year: 2025
Type: article
Abstract: We developed a novel system that quickly predicts cross-sectional images from experimental conditions to minimize cross-sectional processing. This has become a bottleneck in observing pattern shapes of materials used in substrate manufacturing. This system can predict cross-sectional images from experimental conditions and propose process conditions to form the desired pattern shape. We consider that using this system will improve the development speed of overall semiconductor packages.
Language: English
Open Access status: bronze
OpenAlex ID: W4416294019
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