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公开(公告)号：US20220344584A1
公开(公告)日：2022-10-27
申请号：US17762742
申请日：2020-10-21
Inventor： Xiaomin CHENG , Jinlong FENG , Ming XU , Meng XU , Xiangshui MIAO
Abstract: A superlattice phase-change thin film with a low density change, a phase-change memory and a preparation method. The superlattice phase-change thin film includes first phase-change layers (7) and second phase-change layers (8) that are alternately stacked to form a periodic structure; during crystallization, the first phase-change layer (7) has a conventional positive density change, and the second phase-change layer (8) has an abnormal negative density change, therefore, the abnormal density reduction and volume increase of the second phase-change layer (8) during crystallization can be used to offset the volume reduction of the first phase-change layer (7) during crystallization.
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2.发明申请公开(公告)号：US20190242815A1
公开(公告)日：2019-08-08
申请号：US16341923
申请日：2016-11-30
Inventor： Ming XU , Mengmeng ZHANG
Abstract: A numerical characterization method for the dispersion state of carbon nanotubes based on fractal dimension is invented. In this method, a SEM image of the dispersion state of carbon nanotube is obtained first, and then is binarized by the ImageJ software to extract the boundary of individual carbon nanotubes or carbon nanotubes agglomerates, and thereby calculating the fractal dimension of the processed image with the assistance of the box-count algorithm. The value of fractal dimension represents quantitatively the abundant information contained in the dispersion state of carbon nanotubes, which is capable of realizing the numerical characterization of the dispersion state of carbon nanotubes. The invention quantifies the dispersion state of carbon nanotubes, and provides a powerful strategy for controlling, comparison and prediction of macro-properties of carbon nanotube based composites.
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