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Synthesis and Characterization of Magnesium Substituted Aluminophosphate Molecular Sieves with AEL Structure
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作者 BenjingXu LingQian XinmeiLiu ChunminSong ZifengYan 《Journal of Natural Gas Chemistry》 CAS CSCD 2004年第4期231-237,共7页
MAPO-11 molecular sieves were synthesized by hydrothermal methods. The influence of precursor of magnesium, Mg/Al ratio, synthesis temperature, synthesis time and the type of template on the formation and properties o... MAPO-11 molecular sieves were synthesized by hydrothermal methods. The influence of precursor of magnesium, Mg/Al ratio, synthesis temperature, synthesis time and the type of template on the formation and properties of MAPO-11 molecular sieves was examined. The samples were characterized by the techniques of X-ray diffraction (XRD), scanning electron microscopy (SEM), thermogravimetric/differential thermogravimetric analysis (TG-DGA), etc. The results show that the shape and size of crystal were influenced by the precursor of Mg, the Mg/Al ratio and the type of template, and the TG-DGA analysis shows that MAPO-11 molecular sieves as-synthesized have poor thermal stability. 展开更多
关键词 MAPO-11 molecular sieves Mg/Al ratio synthesis temperature synthesis time
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FRNeRF:Fusion and regularization fields for dynamic view synthesis
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作者 Xinyi Jing Tao Yu +2 位作者 Renyuan He Yu-Kun Lai Kun Li 《Computational Visual Media》 2025年第5期965-981,共17页
Novel space-time view synthesis for monocular video is a highly challenging task:both static and dynamic objects usually appear in the video,but only a single view of the current scene is available,resulting in inaccu... Novel space-time view synthesis for monocular video is a highly challenging task:both static and dynamic objects usually appear in the video,but only a single view of the current scene is available,resulting in inaccurate synthesis results.To address this challenge,we propose FRNeRF,a novel spacetime view synthesis method with a fusion regularization field.Specifically,we design a 2D-3D fusion regularization field for the original dynamic neural field,which helps reduce blurring of dynamic objects in the scene.In addition,we add image prior features to the hierarchical sampling to solve the problem that the traditional hierarchical sampling strategy cannot obtain sufficient sampling points during training.We evaluate our method extensively on multiple datasets and show the results of dynamic space-time view synthesis.Our method achieves state-of-the-art performance both qualitatively and quantitatively. 展开更多
关键词 neural radiance fields(NeRFs) space time view synthesis dynamic scene reconstruction flow fields
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