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| 1 | 碳纳米管增强银复合材料的导热性(英文)显示文摘通过分子水平层级混合制备了碳纳米管增强银基复合材料。研究了碳纳米管的类型(单壁/多壁)及功能化模式(共价键/非共价键)对银复合材料导热性的影响。XRD及EDS结果表明,复合材料中存在银与碳。高分辨率扫描电镜和透射电镜结果表明碳纳米管均匀地嵌在银基体中。利用拉曼光谱和FTIR研究了共价键功能化对多壁碳纳米管的影响。共价键功能化后,碳纳米管中引入了功能团且保持结构完整。利用激光闪光技术以及有效介质理论研究了复合材料的导热性。实验结果表明:加入共价功能化的单壁和多壁纳米碳管后,材料的导热性降低。但加入非共价键功能化的多壁碳纳米管后,复合材料的有效导热性增强,这与不考虑界面热阻时的有效介质理论预测结果一致。 | Hemant PAL Vimal SHARMA | 2015 | Transactions of Nonferrous Metals Society of China2015，25，1： | 8 |
| 2 | Mechanical, electrical, and thermal expansion properties of carbon nanotube-based silver and silver–palladium alloy composites显示文摘The mechanical, electrical, and thermal expansion properties of carbon nanotube(CNT)-based silver and silver–palladium(10:1, w/w) alloy nanocomposites are reported. To tailor the properties of silver, CNTs were incorporated into a silver matrix by a modified molecular level-mixing process. CNTs interact weakly with silver because of their non-reactive nature and lack of mutual solubility. Therefore, palladium was utilized as an alloying element to improve interfacial adhesion. Comparative microstructural characterizations and property evaluations of the nanocomposites were performed. The structural characterizations revealed that decorated type-CNTs were dispersed, embedded, and anchored into the silver matrix. The experimental results indicated that the modification of the silver and silver–palladium nanocomposite with CNT resulted in increases in the hardness and Young's modulus along with concomitant decreases in the electrical conductivity and the coefficient of thermal expansion(CTE). The hardness and Young's modulus of the nanocomposites were increased by 30%?40% whereas the CTE was decreased to 50%?60% of the CTE of silver. The significantly improved CTE and the mechanical properties of the CNT-reinforced silver and silver–palladium nanocomposites are correlated with the intriguing properties of CNTs and with good interfacial adhesion between the CNTs and silver as a result of the fabrication process and the contact action of palladium as an alloying element. | Hemant Pal Vimal Sharma | 2014 | International Journal of Minerals,Metallurgy and Materials2014，21，11： | 2 |
| 3 | Chemical, mechanical, and thermal expansion properties of a carbon nanotube-reinforced aluminum nanocomposite显示文摘In the present study,the chemical and mechanical properties and the thermal expansion of a carbon nanotube(CNT)-based crystalline nano-aluminum(nano Al) composite were reported.The properties of nanocomposites were tailored by incorporating CNTs into the nano Al matrix using a physical mixing method.The elastic moduli and the coefficient of thermal expansion(CTE) of the nanocomposites were also estimated to understand the effects of CNT reinforcement in the Al matrix.Microstructural characterization of the nanocomposite reveals that the CNTs are dispersed and embedded in the Al matrix.The experimental results indicate that the incorporation of CNTs into the nano Al matrix results in the increase in hardness and elastic modulus along with a concomitant decrease in the coefficient of thermal expansion The hardness and elastic modulus of the nanocomposite increase by 21%and 20%,respectively,upon CNT addition.The CTE of CNT/A1 nanocomposite decreases to 70%compared with that of nano Al. | Manjula Sharma Vimal Sharma | 2016 | International Journal of Minerals,Metallurgy and Materials2016，23，2： | 2 |
| 4 | Deep Learning-Assisted OFDM Detection with Hardware Impairments显示文摘This paper introduces a deep learning(DL)algorithm for estimating doubly-selective fading channel and detecting signals in orthogonal frequency division multiplexing(OFDM)communication systems affected by hardware impairments(HIs).In practice,hardware imperfections are present at the transceivers,which are modeled as direct current(DC)offset,carrier frequency offset(CFO),and in-phase and quadrature-phase(IQ)imbalance at the transmitter and the receiver in OFDM system.In HIs,the explicit system model could not be mathematically derived,which limits the performance of conventional least square(LS)or minimum mean square error(MMSE)estimators.Thus,we consider time-frequency response of a channel as a 2D image,and unknown values of the channel response are derived using known values at the pilot locations with DL-based image super-resolution,and image restoration techniques.Further,a deep neural network(DNN)is designed to fit the mapping between the received signal and transmit symbols,where the number of outputs equals to the size of the modulation order.Results show that there are no significant effects of HIs on channel estimation and signal detection in the proposed DL-assisted algorithm.The proposed DL-assisted detection improves the OFDM performance as compared to the conventional LS/MMSE under severe Hls. | Amit Singh Sanjeev Sharma Kuntal Deka Vimal Bhatia | 2023 | Journal of Communications and Information Networks2023，8，4： | 0 |
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