Xiaojun Wu

TL;DR: In GNMF, an affinity graph is constructed to encode the geometrical information and a matrix factorization is sought, which respects the graph structure, and the empirical study shows encouraging results of the proposed algorithm in comparison to the state-of-the-art algorithms on real-world problems.

TL;DR: It is revealed that monodisperse cobalt atoms embedded in nitrogen-doped graphene (Co-N/G) can trigger the surface-mediated reaction of Li polysulfides to facilitate both the formation and the decomposition of Li2S in discharge and charge processes, respectively.

TL;DR: The finding suggests that metallic nitride nanosheets could serve as a new group of OER electrocatalysts with excellent property, and benefitting from enhanced electrical conductivity with metallic behavior and atomically disordered structure compared with bulk Ni3N and NiO nanOSheets.

TL;DR: In this article, the electrochemical behavior of magnesium was studied in representative chloride and sulphate solutions including NaCl, Na2SO4, NaOH and their mixed solutions, HCl, and H2SO 4: (1) by measuring electrochemical polarisation curves, (2) by using electrochemical impedance spectroscopy (EIS), and (3) by simultaneous measurement of hydrogen gas evolution and measurement of magnesium dissolution rates using ICPEAS.

TL;DR: A novel deep learning architecture for infrared and visible images fusion problems is presented, where the encoding network is combined with convolutional layers, a fusion layer, and dense block in which the output of each layer is connected to every other layer.