The rate sensitivity and plastic deformation of nanocrystalline tantalum films at nanoscale

Nanoindentation creep and loading rate change tests were employed to examine the rate sensitivity (m) and hardness of nanocrystalline tetragonal Ta films. Experimental results suggested that the m increased with the decrease of feature scale, such as grain size and indent depth. The magnitude of m is much less than the corresponding grain boundary (GB) sliding deformation with m of 0.5. Hardness softening behavior was observed for smaller grain size, which supports the GB sliding mechanism. The rate-controlling deformation was interpreted by the GB-mediated processes involving atomic diffusion and the generation of dislocation at GB

What makes an explosion happen?

The presence of the nonbonding XH tension constrains and the presence of the anti or super hydrogen bond fosters the explosion in aqueous alkali and molten alkali halides; the combination of the coupled hydrogen bond and the repulsive anti or super hydrogen bond not only stabilzes the structure but also stores energy of the energetic molecular assemblies by shortening all covalent bonds.Comment: 4 figure, 3500 work

Deep Metric Multi-View Hashing for Multimedia Retrieval

Learning the hash representation of multi-view heterogeneous data is an important task in multimedia retrieval. However, existing methods fail to effectively fuse the multi-view features and utilize the metric information provided by the dissimilar samples, leading to limited retrieval precision. Current methods utilize weighted sum or concatenation to fuse the multi-view features. We argue that these fusion methods cannot capture the interaction among different views. Furthermore, these methods ignored the information provided by the dissimilar samples. We propose a novel deep metric multi-view hashing (DMMVH) method to address the mentioned problems. Extensive empirical evidence is presented to show that gate-based fusion is better than typical methods. We introduce deep metric learning to the multi-view hashing problems, which can utilize metric information of dissimilar samples. On the MIR-Flickr25K, MS COCO, and NUS-WIDE, our method outperforms the current state-of-the-art methods by a large margin (up to 15.28 mean Average Precision (mAP) improvement).Comment: Accepted by IEEE ICME 202

Effect of Metal Cations on Hydration of Montmorillonite and its Mechanism

This is an article in the field of mining engineering. Montmorillonite is a kind of clay mineral which has significant impact on the sedimentation of coal slime water. Its charged surface and easy hydration hinder the mutual contact between particles, keeping the suspension stable dispersion and worsen the sedimentation of slime water. Based on sedimentationexperiments, we studied the effects of common metal cations Na+, K+, Mg2+, Ca2+and Al3+ on the sedimental characteristics of montmorillonite. Meanwhile, the mechanism of various metal cations in the hydration and sedimentation behavior of montmorillonite was investigated by using microcalorimeter, Zeta potential analyzer and infrared spectrometer. The experiment results show that, adding Al3+ and Ca2+ to montmorillonite suspension or montmorillonite-containing slime water can result into smaller sedimentation compressed layer and lower turbidity of the supernatant. So, Al3+ and Ca2+ show better performance in thesedimentation when compared with Na+, K+, Mg2+. The mechanism analysis shows that metal cations compress the electric double layer on the surface of montmorillonite, thus inhibit the hydration of montmorillonite, and are conducive to the agglomeration and sedimentation of montmorillonite. The research results have scientific significance for the treatment of montmorillonite-containing coal slime water

Structures and Anomalies of Water

Introduction of the principles of the asymmetrical, short-range O:H-O coupled oscillater pair and the basic rule for water ice, which reconciles the structure and anomalies of water ice.Comment: 20 pages. In Chines