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Watch a 17-minute conference talk from SK TECH SUMMIT 2023 exploring the innovative fusion of chemistry and deep learning for predicting material properties. Learn how deep learning algorithms are revolutionizing semiconductor process material development by predicting crucial physical properties like melting points without actual synthesis. Discover how this predictive modeling approach significantly reduces time and costs in material development while complementing experimental processes. Gain insights into the model's potential applications across various industries including new materials development, environmental studies, and energy sectors. The presenter, Ja-young Heo from SK C&C, brings extensive experience in chemical engineering and data analysis, sharing her expertise in battery manufacturing, chemical process analysis, and materials property prediction modeling.
