We here present a planarized solid-state chemical reaction that can produce transition metal monochalcogenide (TMMC) 2D crystals with large lateral extent and finely controllable thickness down to individual layers. The enhanced lateral diffusion of a gaseous reactant at the interface between a solid precursor and graphene was found to provide a universal route towards layered TMMCs of different compositions. A unique layer-by-layer growth mechanism yields atomically abrupt crystal interfaces and kinetically controllable thickness down to a single TMMC layer. Our approach stabilizes 2D crystals with commonly unattainable thermodynamic phases, such as β-Cu2S and γ-CuSe, and spectroscopic characterization reveals ultra-large phase transition depression and interesting electronic properties. The presented ability to produce large-scale 2D crystals with high environmental stability was applied to highly sensitive and fast optoelectronic sensors. Our approach extends the morphological, compositional, and thermodynamic complexity of 2D materials.
With the development and maturity of digital libirary, the Internet has become more and more intelligent, humane and social. It began gradually infiltrated into every aspect of people's lives, influence and change people's way of life. digital libirary era as representative products -- information management has been the suddenness of a thunderbolt swept the interaction information user global information managementing platforms began showing explosive growth trend however, and people are facing information explosion but the core concept of wisdom barren embarrassing situation. [1]
XML has become the standard form of data exchange, more and more data in this form for storage, implying a lot of knowledge in these data information, the need for data mining processing. For XML data mining method at present, most of the need is to pass the XML data into relational data pretreatment process, using the traditional method for processing, data mining process is complex and the effect is not ideal. Therefore, there is an urgent need some effective methods for XML data mining directly.
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