摘要
Metallic glasses(MGs)have attracted extensive attention in the past decades due to their unique chem-ical,physical and mechanical properties promising for a wide range of engineering applications.A thor-ough understanding of their structure-property relationships is the key to the development of novel MGs with desirable performance.New strategies,as proposed by Materials Genome Initiative(MGI),construct a new paradigm for high-throughput materials discovery and design,and are being increas-ingly implemented in the search of new MGs.While a few reports have summarized the application of high-throughput and/or machine learning techniques,a comprehensive assessment of materials genome strategies for developing MGs is still missing.Herein,this paper aims to present a timely overview of key advances in this fascinating subject,as well as current challenges and future opportunities.A holistic approach is used to cover the related topics,including high-throughput preparation and characterization of MGs,and data-driven machine learning strategies for accelerating the development of novel MGs.Fi-nally,future research directions and perspectives for MGI-assisted design of MGs are also proposed and surmised.
基金
This research was supported financially by National Natural Sci-ence Foundation of China(Nos.52130108,51961160729,51871016,11790293,52071024)
Guangdong Basic and Applied Basic Research Foundation(Nos.2020B1515120077 and2022A1515110805)
the Funds for Creative Research Groups of China(No.51921001)
Program for Changjiang Scholars and Innovative Research Team in University of China(No.IRT_14R05)
the Fundamental Research Fund for the Central Universities(No.FRF-TP-22-001C2)
State Key Lab of Advanced Metals and Materials(No.2022-ZD01).