EXTENDED ABSTRACT: This paper focuses on how large language models empower materials research, exploring the value of innovation services based on these models for researchers in universities and research institutions. By integrating comprehensive support services for the entire lifecycle of scientific and technological innovation, including academic exchanges, project collaborations, and commissioned R&D, the platform provides a systematic and holistic innovation support system that ensures the efffcient execution of research projects and the successful translation of research outcomes. The paper analyzes the capabilities of large models in literature review and intelligence analysis, trend prediction, and intelligent writing, demonstrating the potential value of integrated computing, machine learning, and large models in materials research. Leveraging powerful computational resources and advanced intelligent knowledge service systems, the platform assists researchers in overcoming technical bottlenecks, accelerating the innovation process, and offering full-chain technical support from knowledge acquisition to the translation of research ffndings into practical applications. The academic exchange, project discussion, and commissioned R&D services provided by the platform further promote deep collaboration between universities, and research institutions, thereby establishing a comprehensive support system for the entire lifecycle of scientiffc and technological innovation, from basic research to the translation of research outcomes.

Keywords: Large Language Models, Materials Research, Integrated Computing, Machine Learning, Intelligent Knowledge Services, Innovation Services in Science and Technology,;