369 research outputs found
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
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
TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models
Coarse architectural models are often generated at scales ranging from
individual buildings to scenes for downstream applications such as Digital Twin
City, Metaverse, LODs, etc. Such piece-wise planar models can be abstracted as
twins from 3D dense reconstructions. However, these models typically lack
realistic texture relative to the real building or scene, making them
unsuitable for vivid display or direct reference. In this paper, we present
TwinTex, the first automatic texture mapping framework to generate a
photo-realistic texture for a piece-wise planar proxy. Our method addresses
most challenges occurring in such twin texture generation. Specifically, for
each primitive plane, we first select a small set of photos with greedy
heuristics considering photometric quality, perspective quality and facade
texture completeness. Then, different levels of line features (LoLs) are
extracted from the set of selected photos to generate guidance for later steps.
With LoLs, we employ optimization algorithms to align texture with geometry
from local to global. Finally, we fine-tune a diffusion model with a multi-mask
initialization component and a new dataset to inpaint the missing region.
Experimental results on many buildings, indoor scenes and man-made objects of
varying complexity demonstrate the generalization ability of our algorithm. Our
approach surpasses state-of-the-art texture mapping methods in terms of
high-fidelity quality and reaches a human-expert production level with much
less effort. Project page: https://vcc.tech/research/2023/TwinTex.Comment: Accepted to SIGGRAPH ASIA 202
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