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用于能量储存和转换的高性能纳米材料设计的自然规律

Natural Laws for Design of High Performance Nanomaterials for Energy Storage and Conversion
课程网址: http://videolectures.net/lian_su_laws/  
主讲教师: Bai Lian Su
开课单位: 那慕尔大学
开课时间: 2020-03-02
课程语种: 英语
中文简介:
植物和动物都拥有类似的组织,其中包含分级孔隙网络,孔隙大小比已进化为最大化质量传输和反应速率。这种优化层次设计的基本物理原理体现在默里定律中。然而,由于制造血管化结构的挑战,我们还没有认识到在合成材料中模仿大自然的Murray网络的好处。在这里,我们根据广义的Murray定律(层次化定律)模拟最佳自然系统。这种仿生材料的孔径在多个尺度上减小,最终以植物茎、叶脉、血管和呼吸系统等尺寸不变单元终止,为从宏观到微观连接多尺度孔隙提供了层次化的分支和精确的直径比。我们的Murray材料模拟物能够在液-固、气-固和电化学反应中高度增强质量交换和转移,并在光催化、气敏和作为锂离子电池电极方面表现出卓越的性能。
课程简介: Both plants and animals possess analogous tissues containing hierarchical networks of pores, with pore size ratios that have evolved to maximize mass transport and rates of reactions. The underlying physical principles of this optimized hierarchical design are embodied in Murray’s law. However, we are yet to realize the benefit of mimicking nature’s Murray networks in synthetic materials due to the challenges in fabricating vascularized structures. Here we emulate optimum natural systems following our generalized Murray’s law (Law of Hierarchizing). Such bio-inspired materials, whose pore sizes decrease across multiple scales and finally terminate in size-invariant units like plant stems, leaf veins and vascular and respiratory systems provide hierarchical branching and precise diameter-ratios for connecting multi-scale pores from macro to micro levels. Our Murray material mimics enable highly enhanced mass exchange and transfer in liquid-solid, gas-solid and electrochemical reactions and exhibit super performance in photocatalysis, gas sensing and as Li-ion battery electrodes.
关 键 词: 分级孔隙网络; 默里定律; 合成材料
课程来源: 视频讲座网
数据采集: 2021-11-22:nkq
最后编审: 2021-11-22:nkq
阅读次数: 89