Junheng Huang

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Endowing transition-metal oxide electrocatalysts with high water oxidation activity is greatly desired for production of clean and sustainable chemical fuels. Here, we present an atomically thin cobalt oxyhydroxide (γ-CoOOH) nanosheet as an efficient electrocatalyst for water oxidation. The 1.4 nm thick γ-CoOOH nanosheet electrocatalyst can effectively(More)
The facile electron-hole pair recombination in earth-abundant transition-metal oxides is a major limitation for the development of highly efficient hydrogen evolution photocatalysts. In this work, the thickness of a layered β-CoOOH semiconductor that contains metal/hydroxy groups was reduced to obtain an atomically thin, two-dimensional nanostructure.(More)
The synthesis of silicon nanosheets (SiNSs) without using conventional vacuum processes and vapor deposition is challenging and is anticipated to receive significant attention for a wide range of applications. Thereby, mass production of silicon nanosheets with low cost can be achieved using top-down approach starting from materials including a 2D sheet(More)
The traditional collaborative filtering recommendation algorithm can be divided into the user-based and the item-based two methods, which only uses the information in the rating matrix. Because of the limitation of the information capacity they used, it is difficult to further improve the accuracy of the recommendation, and cold start problem also affects(More)
On the basis of the assumption that diseases with similar phenotypes are caused by functionally related genes, We describe a candidate gene prioritization method that is entirely based on mutual information of human protein–protein interactions and disease phenotypic similarities, and develop a tool named GENEDIG to calculate the mutual information(More)
Aiming at the various distribute clustering problems in diffusion model for all data points, providing a new clustering algorithm (CDD) based on the change of density. CDD searches the core point using a typical clustering algorithm (DBSCAN) which based on the density, then calculate the direction, speed and acceleration of density diffused which through(More)
Disease genes identification is the key to the issue of human genetic diseases cure. This paper describes a new method of human genetic disease gene prediction, which is based on the relations between clinical manifestations and protein-protein interaction network. A new prediction model which is based on associated probability and Pearson correlation(More)