Subjects: Physics >> Electromagnetism, Optics, Acoustics, Heat Transfer, Classical Mechanics, and Fluid Dynamics submitted time 2022-10-17
Abstract：
The acoustic mismatch model and diffuse mismatch model are widely used in the calculation of interfacial thermal conductance. These two models are respectively based on the assumption of extremely smooth and rough interfaces. Due to the great difference between the actual interface structure and the two hypotheses, the prediction of these two models deviate greatly from the actual interfacial thermal conductance. The recently proposed mixed mismatch model considers the effect of interface structure on the ratio of phonon specular transmission to diffuse scattering transmission, and the prediction accuracy is improved. However, this model requires molecular dynamics simulation to obtain phonon information at the interface. In this paper, the mixed mismatch model is simplified by introducing the measured roughness value, and the influence of interface structure on the contact area is taken into account to achieve a simple, fast and accurate prediction of interface thermal conductance. Based on this model, the interfacial thermal conductance of metals (aluminum, copper, gold) and semiconductors (silicon, silicon carbide, gallium arsenide, gallium nitride) are calculated and predicted. The results of Al/Si interface are in good agreement with the experimental results. This model is not only helpful to understand the mechanism of interface heat conduction, but also helpful to compare with the measurement results.
Subjects: Materials Science >> Nanoscience and Nanotechnology submitted time 2021-03-26
Abstract： Solar stills have attracted increasing attentions in recent years due to its ability of simple construction and eco-friendly. In this study, the weighted values of environment factors on evaporation efficiency are obtained by using a well-established machine learning algorithm, random forest. To test the advancement between random forest and mathematical data analysis, two traditional data science methods, pair wise plots and Pearson correlation analysis, were conducted for comparison. Experimental data used in analysis were collected from around 100 articles since 2014. The results indicated that thermal design was the most significant factor that contributes in high-efficiency solar evaporation. It will promote the studies on evaporation efficiency solar stills. "
Peer Review Status:
Awaiting Review
Subjects: Biology >> Bioengineering submitted time 2018-07-15 Cooperative journals: 《中国生物工程杂志》
Abstract：抗生素长期滥用导致了人体内菌群失调及细菌耐药性的产生，因此需要寻找新型、靶向抗菌方法来治疗耐药细菌的感染。近年来，CRISPR/Cas系统的深入研究为设计特异性靶向耐药基因，定向清除耐药细菌的药物提供了新的思路。在此，本文介绍了CRISPR/Cas系统作为新型抗菌方法，通过靶向切割抗性质粒或细菌基因组以实现对耐药基因或病原菌的特异性清除，并对CRISPR抗菌药的不同类型核酸酶的选择，以及CRISPR递送系统的运载工具进行了评价。
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