Fang Dai

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Silicon has been identified as a highly promising anode for next-generation lithium-ion batteries (LIBs). The key challenge for Si anodes is large volume change during the lithiation/delithiation cycle that results in chemomechanical degradation and subsequent rapid capacity fading. Here we report a novel fabrication method for hierarchically porous Si(More)
A method of learning image bases from natural images is proposed in this paper. Natural image is decomposed into structure mode and non-structure mode by using Empirical Mode Decomposition (EMD) technique. The structure mode is made up of the first two Intrinsic Mode Functions (IMF) that represent the structure information of image. The other IMFs and(More)
Primal sketch performs an important role in early vision. In this paper, we propose a novel method to obtain the primal sketch of natural images by integrating empirical mode decomposition (EMD) techniques and image gradient. 2D EMD approach can decompose the image into a finite number of intrinsic mode functions (IMF), and each one represents the original(More)
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