Oxometallate(MO)-modified Ag clusters have attracted considerable research interest due to their aesthetic structures and fascinating properties.MOs can be a key factor in the organization of Ag ions into a complex en...Oxometallate(MO)-modified Ag clusters have attracted considerable research interest due to their aesthetic structures and fascinating properties.MOs can be a key factor in the organization of Ag ions into a complex entity in an ordered way.Enormous effort has been devoted to exploiting the synthetic strategy of MO–Ag cluster hybrid nanocomposites.Herein,we intend to review the recent progress in the design and construction of MO–Ag clusters with daedal architectures and potential applications.Accordingly,six different types of MO–Ag clusters are summarized mainly in terms of array configurations:(1)MOs@Ag shells;(2)Ag core@MOs;(3)Ag core@MOs@Ag shells;(4)coordination polymers;(5)intercluster compounds and(6)mixed array configurations.Besides,the synergistic effects between MOs and Ag clusters are presented.Based on the current development in this area,this minireview is expected to provide a perspective on controllable preparation of MO–Ag clusters,and a basic understanding of the structure/property correlations of Ag nanoparticle-metal oxide materials,thereby assisting in building functional nanomaterials.展开更多
In the field of knowledge science,understanding the structure and dynamic evolution of knowledge is essential for advancing disciplinary development and anticipating research trends.However,current methodologies lack ...In the field of knowledge science,understanding the structure and dynamic evolution of knowledge is essential for advancing disciplinary development and anticipating research trends.However,current methodologies lack a unified semantic framework for the structured representation of knowledge,which impedes the quantitative analysis of its evolution and limits the ability to uncover complex relationships among knowledge entities.展开更多
基金supported by the National Natural Science Foundation of China(22201038,22101048,21971038,22271046 and 21975044)the Fujian Provincial Department of Science and Technology(2019H6012,21019L3004 and 2022J05040).
文摘Oxometallate(MO)-modified Ag clusters have attracted considerable research interest due to their aesthetic structures and fascinating properties.MOs can be a key factor in the organization of Ag ions into a complex entity in an ordered way.Enormous effort has been devoted to exploiting the synthetic strategy of MO–Ag cluster hybrid nanocomposites.Herein,we intend to review the recent progress in the design and construction of MO–Ag clusters with daedal architectures and potential applications.Accordingly,six different types of MO–Ag clusters are summarized mainly in terms of array configurations:(1)MOs@Ag shells;(2)Ag core@MOs;(3)Ag core@MOs@Ag shells;(4)coordination polymers;(5)intercluster compounds and(6)mixed array configurations.Besides,the synergistic effects between MOs and Ag clusters are presented.Based on the current development in this area,this minireview is expected to provide a perspective on controllable preparation of MO–Ag clusters,and a basic understanding of the structure/property correlations of Ag nanoparticle-metal oxide materials,thereby assisting in building functional nanomaterials.
基金partially supported by EU H2020 Research and Innovation Program under the Marie Sklodowska-Curie Grant Agreement(Project-DEEP,grant no.101109045)the National Natural Science Foundation of China(nos.NSFC 62401334 and 62442106)+1 种基金funded by the German Federal Ministry of Education and Research(BMBF)(project AITT,AI-assisted Technology Transfer,no.03LB3058B)the Program of Jiangsu Province under grant NTACT-2024-Z-001.
文摘In the field of knowledge science,understanding the structure and dynamic evolution of knowledge is essential for advancing disciplinary development and anticipating research trends.However,current methodologies lack a unified semantic framework for the structured representation of knowledge,which impedes the quantitative analysis of its evolution and limits the ability to uncover complex relationships among knowledge entities.
