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低维Bi_2Te_3基热电材料的研究进展 被引量:1
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作者 郭磊 姬广斌 《材料导报》 EI CAS CSCD 北大核心 2009年第21期34-37,共4页
Bi2Te3及其固溶体合金是目前室温附近发展最为成熟、性能最好的一类热电材料,在热电制冷及温差发电方面具有广阔的应用前景。如何最大限度地提高材料的热电优值是当今热电材料研究的主要问题。传统块体Bi2Te3基热电材料的最高ZT值只能达... Bi2Te3及其固溶体合金是目前室温附近发展最为成熟、性能最好的一类热电材料,在热电制冷及温差发电方面具有广阔的应用前景。如何最大限度地提高材料的热电优值是当今热电材料研究的主要问题。传统块体Bi2Te3基热电材料的最高ZT值只能达到1.0左右,而低维化、纳米化的Bi2Te3基热电材料可使电子和声子的传输得到合理调控,从而大幅提升材料的热电性能。综述了二维纳米薄膜、一维纳米线(管、棒)和准零维纳米颗粒等低维Bi2Te3基热电材料的最新研究进展,并结合目前的研究状况展望了今后的研究重点及发展方向。 展开更多
关键词 BI2TE3 低维化 热电性能
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氧化物热电材料热导率的研究 被引量:9
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作者 曾令可 漆小玲 +1 位作者 王慧 刘艳春 《硅酸盐通报》 CAS CSCD 北大核心 2009年第3期525-530,共6页
随着能源的日益紧张以及环境污染的日趋严重,氧化物热电材料作为一种新型的能源转换材料倍受人们关注。提高氧化物热电材料热电性能,实现大规模应用的关键是降低材料的热导率。本文详细介绍了氧化物热电材料热导率的影响机理及测试方法... 随着能源的日益紧张以及环境污染的日趋严重,氧化物热电材料作为一种新型的能源转换材料倍受人们关注。提高氧化物热电材料热电性能,实现大规模应用的关键是降低材料的热导率。本文详细介绍了氧化物热电材料热导率的影响机理及测试方法,提出了降低氧化物热电材料热导率的主要途径;最后指出了氧化物热电材料的应用前景及在热导率方面的研究方向。 展开更多
关键词 物热电材料 热导率 纳米复合结构 低维化 掺杂
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低维硫属化物晶体的合成研究进展 被引量:8
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作者 董言治 安永林 辛剑 《功能材料与器件学报》 CAS CSCD 2001年第2期211-216,共6页
金属硫属化物是指含有Ⅵ A族 S2-、 Se2-、 Te2-元素的化合物,它们在半导体领域、配位化学、固体化学及红外探测设备中具有不可替代的重要性。 这类化合物主要包括Ⅱ-Ⅵ族和Ⅳ-Ⅵ族化合物半导体以及多元金属硫属化物(尤其是过渡... 金属硫属化物是指含有Ⅵ A族 S2-、 Se2-、 Te2-元素的化合物,它们在半导体领域、配位化学、固体化学及红外探测设备中具有不可替代的重要性。 这类化合物主要包括Ⅱ-Ⅵ族和Ⅳ-Ⅵ族化合物半导体以及多元金属硫属化物(尤其是过渡金属硫化物) ,其合成几乎涉及所有的晶体生长方法,如:薄膜生长法、高温合成方法、电化学方法、溶剂热合成等。本文综述了低维硫属化物几种合成方法的优缺点及其新进展。 展开更多
关键词 硫属 溶剂热 学方法 高温合成 晶体生长
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低维无机功能材料的氢化调控研究 被引量:1
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作者 孙旭 郭宇桥 +2 位作者 彭旭 吴长征 谢毅 《中国科学:化学》 CSCD 北大核心 2013年第12期1736-1747,共12页
低维无机功能材料电学行为的调控主要依赖于本征异质原子掺杂,但是该方法在性质调控的同时,由于异质原子的嵌入常导致原有晶体结构对称性发生改变,产生变形扭曲甚至破坏.目前,基于清晰结构调控无机材料功能性依然是极具挑战性的难题.氢... 低维无机功能材料电学行为的调控主要依赖于本征异质原子掺杂,但是该方法在性质调控的同时,由于异质原子的嵌入常导致原有晶体结构对称性发生改变,产生变形扭曲甚至破坏.目前,基于清晰结构调控无机材料功能性依然是极具挑战性的难题.氢作为一种小半径轻原子,对低维无机功能材料的修饰或嵌入为调控无极功能材料物性带来了新思路,特别是通过氢的嵌入可以在结构不发生大变化的前提下调制材料载流子浓度并提升导电率,这已逐渐成为低维无机材料电学行为调控的重要途径.本文概述了近年来发展的系列氢化调控方法,以及通过对电子结构调制实现对电学行为的调控,并基于此广泛应用于能源领域、电子器件及催化等方面. 展开更多
关键词 功能材料性质调控
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基于低维映射和Q学习的机械臂避碰规划算法 被引量:4
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作者 钱堃 贾凯 宋潇 《华中科技大学学报(自然科学版)》 EI CAS CSCD 北大核心 2015年第S1期468-472,共5页
针对仿人型机械臂的避碰路径规划问题,提出一种利用离散化低维映射和改进Q学习的新算法.利用离散化低维映射方法,将三维空间下的机械臂避障问题转化为类似移动机器人的避障问题;采用包络离散的方法进行碰撞检测,提高了碰撞检测效率;通... 针对仿人型机械臂的避碰路径规划问题,提出一种利用离散化低维映射和改进Q学习的新算法.利用离散化低维映射方法,将三维空间下的机械臂避障问题转化为类似移动机器人的避障问题;采用包络离散的方法进行碰撞检测,提高了碰撞检测效率;通过在经典Q学习算法中加入前向树搜索步骤来预先求避障问题的一个可行解,避免了传统Q学习算法易陷入无解的缺陷,再利用传统Q学习算法改进该可行解.最后通过仿真对比实验验证了所提方法的有效性. 展开更多
关键词 机器学习 Q学习 机械臂避碰 离散映射 前向树
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Low temperature solid-phase sintering of sintered metal fibrous media with high specific surface area 被引量:4
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作者 唐彪 汤勇 +3 位作者 周蕤 陆龙生 刘彬 屈修明 《Transactions of Nonferrous Metals Society of China》 SCIE EI CAS CSCD 2011年第8期1755-1760,共6页
A procedure of low temperature solid-phase sintering(LTSS) was carried out to fabricate sintered metal fibrous media(SMFM) with high specific surface area.Stainless steel fibers which were produced by cutting proc... A procedure of low temperature solid-phase sintering(LTSS) was carried out to fabricate sintered metal fibrous media(SMFM) with high specific surface area.Stainless steel fibers which were produced by cutting process were first plated with a coarse copper coating layer by electroless plating process.A low-temperature sintering process was then completed at about 800 °C for 1 h under the protection of hydrogen atmosphere.The results show that a novel SMFM with complex surface morphology and high specific surface area(0.2 m2/g) can be obtained in this way.The effect of sintering temperature on the surface morphology and specific surface area of SMFM was studied by means of scanning electron microscopy and Brunauer-Emmett-Teller.The damage of micro-structure during the sintering process mainly contributed to the loss of specific surface area of SMFM and the optimal sintering temperature was 800 °C. 展开更多
关键词 sintered metal fibrous media low temperature solid-phase sintering electroless copper plating surface morphology specific surface area
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Low-dimensional multi-spectral space for color reproduction based on nonnegative constrained principal component analysis 被引量:1
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作者 王莹 曾平 +1 位作者 罗雪梅 谢琨 《Journal of Southeast University(English Edition)》 EI CAS 2009年第4期486-490,共5页
In order to overcome the shortcomings that the reconstructed spectral reflectance may be negative when using the classic principal component analysis (PCA)to reduce the dimensions of the multi-spectral data, a nonne... In order to overcome the shortcomings that the reconstructed spectral reflectance may be negative when using the classic principal component analysis (PCA)to reduce the dimensions of the multi-spectral data, a nonnegative constrained principal component analysis method is proposed to construct a low-dimensional multi-spectral space and accomplish the conversion between the new constructed space and the multispectral space. First, the reason behind the negative data is analyzed and a nonnegative constraint is imposed on the classic PCA. Then a set of nonnegative linear independence weight vectors of principal components is obtained, by which a lowdimensional space is constructed. Finally, a nonlinear optimization technique is used to determine the projection vectors of the high-dimensional multi-spectral data in the constructed space. Experimental results show that the proposed method can keep the reconstructed spectral data in [ 0, 1 ]. The precision of the space created by the proposed method is equivalent to or even higher than that by the PCA. 展开更多
关键词 spectral color science nonnegative constrained principal component analysis low-dimensional spectral space nonlinear optimization multi-spectral images spectral reflectance
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Evolution trend analysis of urban residents’ low-carbon travel development based on multidimensional game theory 被引量:6
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作者 WU Xiao-hui HE Mei-ling +1 位作者 CAO Shu-chao SHI Yu-ji 《Journal of Central South University》 SCIE EI CAS CSCD 2019年第12期3388-3396,共9页
In the travel process of urban residents,travelers will take a series of activities such as imitation and exclusion by observing other people’s travel modes,which affects their following trips.This process can be see... In the travel process of urban residents,travelers will take a series of activities such as imitation and exclusion by observing other people’s travel modes,which affects their following trips.This process can be seen as a repeated game between members of the travelers.Based on the analysis of this game and its evolution trend,a multi-dimensional game model of low-carbon travel for residents is established.The two dimensional game strategies include whether to accept the low-carbon concept and whether to choose low-carbon travel.Combined with evolutionary game theory,the low-carbon travel choices of residents in different cities are simulated,and the evolutionary stability strategies are obtained.Finally,the influences of the main parameters of the model on the evolution process and stability strategies are discussed.The results show that travelers would develop towards two trends.Cities with more developed public traffic system have a higher proportion of receiving low-carbon concept and choosing low-carbon travel.Cities with underdeveloped public transport system could increase this proportion by some measures such as encouraging residents to choose slow transport and increasing the propaganda of low-carbon travel,but the positive effects of the measures like propaganda have a limited impact on the proportion. 展开更多
关键词 low-carbon travel evolution trend multidimensional game travel modes
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Lattice Mismatch Induced Tunable Dimensionality of Transition Metal Dichalcogenides
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作者 Hanxiao Dong Huijun Jiang Zhonghuai Hou 《Chinese Journal of Chemical Physics》 SCIE EI CAS CSCD 2022年第6期853-859,I0001-I0004,I0072,共12页
Low-dimensional materials have excellent properties which are closely related to their dimensionality.However,the growth mechanism underlying tunable dimensionality from 2D triangles to 1D ribbons of such materials is... Low-dimensional materials have excellent properties which are closely related to their dimensionality.However,the growth mechanism underlying tunable dimensionality from 2D triangles to 1D ribbons of such materials is still unrevealed.Here,we establish a general kinetic Monte Carlo model for transition metal dichalcogenides(TMDs) growth to address such an issue.Our model is able to reproduce several key findings in experiments,and reveals that the dimensionality is determined by the lattice mismatch and the interaction strength between TMDs and the substrate.We predict that the dimensionality can be well tuned by the interaction strength and the geometry of the substrate.Our work deepens the understanding of tunable dimensionality of low-dimensional materials and may inspire new concepts for the design of such materials with expected dimensionality. 展开更多
关键词 Transition metal dichalcogenide Dimensionality Low-dimensional material Lattice mismatch Kinetic Monte Carlo simulation
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Square concrete columns strengthened with carbon fiber reinforced plastics sheets at low temperatures 被引量:1
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作者 马芹永 卢小雨 《Journal of Central South University》 SCIE EI CAS 2009年第5期835-840,共6页
Twenty-one square concrete columns were constructed and tested. The testing results indicate that bonded carbon fiber reinforced plastics(CFRP) sheets can be used to increase the strength and improve the serviceabilit... Twenty-one square concrete columns were constructed and tested. The testing results indicate that bonded carbon fiber reinforced plastics(CFRP) sheets can be used to increase the strength and improve the serviceability of damaged concrete columns at low temperatures. The failure of the specimens,in most cases,takes place within the middle half of the columns. And the failure of strengthened columns is sudden and explosive. The CFRP sheets increase both the axial load capacity and the ultimate concrete compressive strain of the columns. The ultimate loads of strengthened columns at-10,0 and 10 ℃ increase averagely by 9.09%,6.63% and 17.83%,respectively,as compared with those of the control specimens. The axial compressive strength of strengthened columns is related to the curing temperatures. The improvement of axial compressive strength decreases with reducing temperature,and when the temperature drops to a certain value,the improvement increases with falling temperature. 展开更多
关键词 carbon fiber reinforced plastics (CFRP) sheet square concrete column stress--strain model
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基于SOM聚类的电网可视化数据挖掘模型 被引量:21
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作者 郭晓利 曲朝阳 +2 位作者 李晓栋 张加玲 孟凡奇 《情报科学》 CSSCI 北大核心 2012年第2期206-209,225,共5页
面对电力系统中海量的多维数据,传统的可视化数据挖掘无法满足空间数据处理的需要,多维数据可视化也不利于用户获取知识。因此提出了基于SOM(自组织特征映射网络)聚类的电网可视化数据挖掘新模型VSDMmodel,模型利用改进的SOM聚类算法对... 面对电力系统中海量的多维数据,传统的可视化数据挖掘无法满足空间数据处理的需要,多维数据可视化也不利于用户获取知识。因此提出了基于SOM(自组织特征映射网络)聚类的电网可视化数据挖掘新模型VSDMmodel,模型利用改进的SOM聚类算法对高维电网数据进行降维,提出一种基于颜色映射的可视化方法,对聚类结果进行低维展现,加快了用户对挖掘结果的理解,并且允许用户对结果中感兴趣的区域加以深入分析,实现对电力系统海量数据的可视化挖掘。 展开更多
关键词 电网 SOM聚类 可视 数据挖掘
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功能玻璃材料研究向何处去 被引量:1
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作者 邱建荣 《激光与光电子学进展》 CSCD 北大核心 2007年第12期14-22,共9页
分析了玻璃的发展历史和研究现状,指出其未来发展趋势:低维化、复合化以及集成化。提出了玻璃微结构的形成机制和调控规律以及玻璃微结构对外场的响应机制和功能化原理是实现具有高新功能玻璃材料与器件必须解决的两个关键科学问题。简... 分析了玻璃的发展历史和研究现状,指出其未来发展趋势:低维化、复合化以及集成化。提出了玻璃微结构的形成机制和调控规律以及玻璃微结构对外场的响应机制和功能化原理是实现具有高新功能玻璃材料与器件必须解决的两个关键科学问题。简要介绍了在飞秒激光诱导玻璃功能微结构以及实现超宽带光放大新型玻璃方面的探索性工作。 展开更多
关键词 玻璃 光纤 微结构 低维化
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Lin-Reissner-Tsien方程和修正的Zabolotskaya-Khokhlov方程的精确解
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作者 胡晓翠 殷京津 马飞遥 《扬州大学学报(自然科学版)》 CAS 北大核心 2016年第1期22-25,共4页
利用连续方程的不变子空间,研究了Lin-Reissner-Tsien方程和修正的Zabolotskaya-Khokhlov方程在离散情形下的精确解.对于离散方程,在时间变量t连续时,对空间变量x进行离散化.在不变子空间理论下,得到相应方程的有限差分解的低维约化,所... 利用连续方程的不变子空间,研究了Lin-Reissner-Tsien方程和修正的Zabolotskaya-Khokhlov方程在离散情形下的精确解.对于离散方程,在时间变量t连续时,对空间变量x进行离散化.在不变子空间理论下,得到相应方程的有限差分解的低维约化,所得到的新精确解有助于研究这两个方程解的性质. 展开更多
关键词 不变子空间 精确解 离散方程 有限差分
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