AI for Next-Generation Semiconductor Material Discovery

Proficiency in AI/ML Techniques: Participants will gain the skills to apply AI and ML algorithms for predicting material properties in semiconductor research.

Hands-on Experience: Practical experience in data extraction, preparation, and machine learning model development.

Understanding Advanced AI Tools: Familiarity with deep learning models like CGCNN, MEGNet, and ALIGNN for semiconductor material discovery.

Enhanced Research Skills: Ability to evaluate and interpret machine learning models for material property prediction.

Career Readiness: Equipped with the knowledge and skills to pursue careers in materials science, AI research, and semiconductor technology.