On November 27, 2024, the Schoolof Energy and Materials held a seminar on AI-assisted research. Some of thecurrent graduate students attended the seminar, graduate students in the fieldinternship participated online through Tencent Conference, and some teachersfrom our sister colleges such as Capital and Environment and Economics andManagement also attended the seminar in person. At the same time, teachers andstudents from Xi'an Jiaotong University, Shanghai Research Institute ofMaterials (SRIM), Hebei University of Technology, Nanjing University ofTechnology, Shanghai Maritime University, Zhejiang Ocean University and othercolleges and universities participated in the seminar online, and theatmosphere at the venue was warm.
Aiming to enhance students'understanding of AI-enabled research, the meeting invited our graduate studentsGuo Qingda, Liu Zhengyuan, and Dong Junzhe to share with students. Meanwhile,Mr. Zhu Dahai, Mr. Wang Debing, Mr. Wang Lingling, Mr. Guo Yaoguang from theSchool of Resources and Environmental Engineering, and Mr. Wang Shangjun fromthe School of Economics and Management were invited to attend. The meeting washosted by Mr. Yu Wei.
Guo Qingda from 24 MaterialChemistry Research A2 shared his experience of using Kimi Intelligent Assistantin various aspects with his classmates. Including Kimi's official cue words,how Kimi reads literature in depth, Kimi's optimization in the experimentalprocess, Kimi's data and analysis, and its application in other aspects. Thestudents were reminded that AI is only an aid and not a substitute for work.
Mr. Liu Zhengyuan from the A3class of 24 Material Chemistry Research introduced his experience of using AIin reading literature and writing English reviews. He demonstrated how to usevarious AI tools and encouraged everyone to learn how to utilize various AItools.
Junzhe Dong from 24 MaterialChemistry Research A6 shared his experience of using ChatGPT and its plug-inswith the group. It included the introduction of the plug-in, the cue words ofChatGPT, the key symbols added in the cue words, and the application in theliterature. The content shared was detailed and informative, aiming to helpeveryone utilize AI cue words more efficiently. This workshop not only deepenedstudents' understanding of AI technology, but also clarified the specific usesof AI in research. The School of Energy and Materials will continue to promotethe application of AI technology in scientific research and plans to organizerelated workshops again.