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We contribute a large scale database for 3D object recognition , named ObjectNet3D, that consists of 100 categories, 90,127 images, 201,888 objects in these images and 44,147 3D shapes. Objects in the 2D images in our database are aligned with the 3D shapes, and the alignment provides both accurate 3D pose annotation and the closest 3D shape annotation for(More)
Rationally and efficiently controlling the morphology of nanomaterials plays a crucial role in significantly enhancing their functional properties and expending their applications. In this work, a strategy for controlled synthesis of diverse nanostructured materials with tunable morphologies was developed using a guanidinium-based surfactant with a(More)
A microfluidic assembly approach was developed for efficiently producing hydrogel spheres with reactive multidomains that can be employed as an advantageous platform to create spherical porous networks in a facile manner with well-defined multicompartments and spatiotemporally controlled functions. This strategy allows for not only large scale fabrication(More)
Rationally and efficiently controlling chemical composition, microstructure, and morphology of carbon nanomaterials plays a crucial role in significantly enhancing their functional properties and expending their applications. In this work, a novel strategy for simultaneously controlling these structural parameters was developed on the base of a(More)
Inverse radiation problem for one-dimensional non-uniform medium has been investigated. A stochastic particle swarm optimization algorithm (SPSO) with a stochastic selection is adopted to estimate the absorption coefficients in a one-dimensional absorbing, emitting medium. The directional radiative intensities simulated by discrete ordinate method are(More)
3D reconstruction from a single image is a key problem in multiple applications ranging from robotic manipulation to augmented reality. Prior methods have tackled this problem through generative models which predict 3D reconstructions as voxels or point clouds. However, these methods can be computationally expensive and miss fine details. We introduce a new(More)
Density functional theory (DFT) calculations are performed to investigate the hydrogen-related oxygen vacancy defects in HfO2 gate dielectrics. The results demonstrate that the introduction of the hydrogen atom has less effect on micro-structure of the HfO2 oxygen vacancy defects. And the new hydrogen-related defects have good thermal stability. The(More)
Exploiting "chaperone molecule" to navigate the successful assembly energy landscapes has been extensively used in biological systems, whereas in artifical supramolecular systems the "chaperone-assisted" assembly strategy to be used for the synthesis of materials with novel structures or the structures to be hardly prepared by "conventional" methods are(More)
In this paper, an improved simulation methodology for ab-initio calculation on random charging/discharging of gate oxide trap is proposed and adopted for investigation on oxygen vacancy defect in SiO<sub>2</sub> gate dielectric. Issues of unexpected high thermal barriers and oversimplified energy-position relationship of defect in conventional simulation(More)
The efficient synthesis of free-standing mesostructured two-dimensional (2D) nanofilms with high-yield as well as good control of composite, mesophase structure, orientation of the pore channel and thickness represents a big challenge. In this work, it was serendipitously found that microemulsion droplets of tetraethylorthosilicate (TEOS) could serve as a(More)
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