Core Insights - The integration of artificial intelligence (AI) with materials science is creating new opportunities for innovation in material research [1][2] - The second Materials Science Summit focused on the intersection of AI and materials science, highlighting the importance of AI as a core driver of research and development [1][2] - The summit featured discussions on how AI is reshaping the paradigms of materials research, moving from experience-driven to data and intelligence-driven approaches [4][5] Group 1: Summit Overview - The summit was hosted by MDPI and held at the Guangdong Technion-Israel Institute of Technology, attracting top scholars and industry representatives from around the world [1] - Keynote speeches emphasized the need for AI to redefine materials research fundamentally, rather than merely serving as a supportive tool [1][2] - The event included the announcement of the Michele Parrinello Award and the launch of new journals focused on AI and materials research, indicating a commitment to advancing this interdisciplinary field [2] Group 2: Academic Contributions - Prominent academicians shared insights on the groundbreaking applications of AI in materials science during the summit [2] - A high-level forum featured discussions on AI's role in empowering materials research and nurturing young scientists, showcasing the collaborative spirit of the academic community [2][4] - The consensus among participants was that AI is becoming the "new language" and "new tool" in materials science, facilitating a shift towards more efficient research methodologies [4] Group 3: Future Directions - The convergence of AI models, automated experiments, high-performance computing, and materials databases is expected to significantly enhance the efficiency of materials development [5] - MDPI plans to continue supporting the global materials science community through open-access publishing, academic platform development, and international conference organization [5]