Generative AI has recently had a profound impact on various fields, including daily life, research, and education. To explore its efficient utilization in data-driven materials science, we organized a hackathon -- AIMHack2024 -- in July 2024. In this hackathon, researchers from fields such as materials science, information science, bioinformatics, and condensed matter physics worked together to explore how generative AI can facilitate research and education. Based on the results of the hackathon, this paper presents topics related to (1) conducting AI-assisted software trials, (2) building AI tutors for software, and (3) developing GUI applications for software. While generative AI continues to evolve rapidly, this paper provides an early record of its application in data-driven materials science and highlights strategies for integrating AI into research and education.

翻译：生成式人工智能近期对日常生活、科研与教育等多个领域产生了深远影响。为探索其在数据驱动材料科学中的高效应用，我们于2024年7月组织了一场黑客松——AIMHack2024。本次活动中，来自材料科学、信息科学、生物信息学、凝聚态物理学等领域的研究者通力合作，共同探索生成式人工智能如何促进科研与教育。基于黑客松的成果，本文围绕以下主题展开论述：(1) 开展AI辅助软件测试，(2) 构建软件专用AI导师，以及(3) 开发软件GUI应用程序。尽管生成式人工智能仍在快速发展，本文记录了其在数据驱动材料科学领域的早期应用实践，并重点阐述了将AI整合到科研与教育中的实施策略。