MateriAI 2024 〜 Utilization of AI technology in the field of computational materials science
In recent years, artificial intelligence (AI) has rapidly advanced across various fields, and its usefulness has been demonstrated in the realm of computational materials science, including materials design and property prediction.
In this hackathon, we will focus on this trend by incorporating a “discovery-oriented” approach to extract new rules and patterns from existing data related to materials science. Specifically, we will engage in AI-driven data analysis and develop automation tools to gain fresh insights from the data. Additionally, by employing efficient coding techniques, optimizing workflows, and utilizing an AI concierge for streamlined information access, we aim to enhance problem-solving capabilities and development skills. Through these efforts, participants will acquire practical methodologies for applying AI in the field of materials science and establish a foundation for sharing and applying the insights they uncover. Furthermore, by working on team-based projects, participants will have the opportunity to develop practical skills and gain valuable experience in teamwork.
To apply, please visit the following URL: https://ccms.issp.u-tokyo.ac.jp/event/7033