AI/ML as an Innovation Accelerator in Semiconductor Chemicals R&D

In this talk we discuss the role of AI and machine learning in accelerating semiconductor chemicals and materials R&D. We touch on the concepts and applications of various generative and predictive AI/ML algorithms: Large language models with access to scientific data; sequential learning algorithms as a powerful tool for experiment planning and resource optimization; and chemically aware neural networks for lead generation and prediction on novel electronics-relevant chemical compounds. This talk aims to showcase the transformative potential of AI/ML in accelerating R&D innovation and efficiency towards the next technological node.