The Network Center of the Joint Institute of Physics, Chinese Academy of Sciences releases the AI ​​model MatChat

IT House News on November 3, the official website of the Institute of Physics, Chinese Academy of Sciences published an article. Recently, the SF10 Group of the Institute of Physics, Chinese Academy of Sciences/Beijing National Research Center for Condensed Matter Physics and the Computer Network Information Center of the Chinese Academy of Sciences collaborated to apply AI large models. In the field of materials science, tens of thousands of chemical synthesis pathway data are fed to the large language model LLAMA2-7b, thereby obtaining the MatChat model, which can be used to predict the synthesis pathways of inorganic materials.

IT House noted that the model can perform logical reasoning based on the structure being queried and output the corresponding preparation process and formula. It has been deployed online and

, bringing new inspiration and new ideas to materials research and innovation. This work proposes a possible solution for the application of large language models in the field of subdivision science,

. Extracting literature data through natural language models and then using the literature data for language model training is a feasible path to develop subdivided scientific fields. This work demonstrates the "Wright Brothers' one-minute flight" in the field of inorganic material synthesis path prediction. Limited by the quantity and quality of the data set, the model prediction accuracy is still subject to certain limitations.

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