摘要
Developing high-performance multicomponent ceramics,which are promising in solving challenges posed by emerging technologies,shows grand difficulties because of the immense compositional space and complex local distortions.In this work,an accurate machine learning(ML)model built upon an ab initio database is developed to predict the mechanical properties and structural distortions of multicomponent transition metal carbides(MTMCs).
基金
supported by the National Key R&D Program of China(No.2022YFE0200900)
the Research Grants Council of Hong Kong(No.11200421)
the Hong Kong Innovation and Technology Commission(No.MHP/098/21).
