Exploration on teaching reform of"Computational Materials Science"course
Currently,many domestic and foreign higher education institutions are relatively traditional in their selection of textbooks and construction of knowledge points for Computational Materials Science course.However,the rapid development of materials informatics,especially machine learning and big data,has pointed out new directions for the future development of computational materials science.Therefore,it is urgent to carry out the reform of the"Computational Materials Science"course based on materials infor-matics.Taking Jinlin University as an example,by introducing new teaching concepts,teaching materials,teaching tools,and teaching evaluation methods,we can create a distinctive course that integrates tradition-al multiscale computational methods and emerging artificial intelligence methods.This will contribute to the construction of the course system for"Computational Materials Science",the training of materials sci-ence talents,and the rapid and efficient development of materials science.It will also provide beneficial ref-erences for the design of"Computational Materials Science"course systems both domestically and interna-tionally.
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