Nanocrystalline transition metal oxides and their composites with reduced graphene oxide and carbon nanotubes for photocatalytic applications

Transition metal oxide nanoparticles (CuO, ZnO & Fe₂O₃) and mixed metal oxides CuO. ZnO.Fe₂O₃ were fabricated by facile co-precipitation approach for photocatalytic treatment of organic dyes. The structural features, phase purity, crystallite size and morphology of individual and mixed metal oxides were analysed by X-rays diffraction patterns (XRD) and scanning electron microscopic (SEM) analysis. Electrical behaviour of CuO, ZnO, Fe₂O₃ and mixed metal oxides CuO. ZnO.Fe₂O₃ was explored by current-voltage (I-V) measurements. Functional groups present in the synthesized metal oxides were investigated by Fourier transform infrared spectroscopy (FTIR) which ensures the existence of M-O functional groups in the samples. The optical bandgap analysis was carried out by UV–visible spectroscopic technique which revealed that the blend of three different transition metal oxides reduced the bandgap energy of mixed metal oxides. The reason behind this reduced bandgap energy is formation of new electronic state which arises due to the metal-oxygen interactions. Moreover, the nanocomposites of CuO.ZnO.Fe₂O₃ with reduced graphene oxide (rGO) and carbon nanotubes (CNTs) were prepared to study the effect of the carbonaceous materials on the rate of photodegradation. These carbonaceous nanomaterials have plethora properties which can bring advancement in sector of photocatalytic treatment of wastewater. The photocatalytic experiments were performed using methylene blue (MB) as standard dye for comparative study of metal oxides and their composites with rGO and CNTs. The percentage degradation of methylene blue (MB) by nanocomposite CuO.ZnO.Fe₂O₃/rGO is 87% which is prominent among all samples. This result ascribed the photocatalytic aspects of reduced graphene oxide along with mixed metal oxides.     

核聚变堆用钨表面超精密抛光的研究现状与趋势

钨作为未来核聚变堆中最有前景的面向等离子体材料,在反应堆工况下将承受高能粒子的辐照冲击。表面质量的好坏会直接影响材料的氢/氦滞留行为和辐照损伤程度,进而影响聚变堆的安全性和可靠性。现阶段,针对钨的抗辐照改性研究主要着眼于材料的成分、结构和组织设计,关于机械加工对材料表面抗辐照改性的研究甚少。文章聚焦前沿科学问题,从机械加工角度分析核材料领域科学问题,结合国内外相关研究成果及核聚变堆用钨(PFM-W)的机械加工现状,阐述了PFM-W表面超精密抛光的必要性。通过对比不同抛光方法,提出了磁流变抛光和力流变抛光是较为适合PFM-W表面超精密加工的观点,并对未来PFM-W表面超精密抛光研究趋势进行了分析,重点在抛光方法的探索以及抛光后材料表面质量对抗辐照性能影响的研究。     

Interface engineering of copper-cobalt based heterostructure as bifunctional electrocatalysts for overall water splitting

It is of great significance to develop highly active and cost-effective electrocatalysts for the oxygen evolution reaction and hydrogen evolution reaction in alkaline solution. Herein, we report an interface engineering strategy to fabricate 3D hierarchical CuCo₂O₄@CuCo₂S₄ heterostructure catalysts with efficient synergistic effects for water splitting. Owing to the special nano-architectures with abundant active interfaces, the as-prepared CuCo₂O₄@CuCo₂S₄ catalysts exhibit superior electrochemical activity and prominent electrochemical stability, with a small overpotential of 240 and 101 mV for oxygen and hydrogen evolution reactions to deliver a current density of 10 mA cm⁻², respectively. Remarkably, the CuCo₂O₄@CuCo₂S₄ materials directly applied as both anode and cathode electrode demonstrate excellent water splitting performance, achieving 10 mA cm⁻² at a low cell voltage of only 1.53 V, outperforming the integrated state-of-the-art RuO₂||Pt/C couple (1.56 V). Moreover, density functional theory calculations suggest that the excellent overall water splitting property of CuCo₂O₄@CuCo₂S₄ is attributed to a large amount of hierarchical hetero-interfaces, giving rise to effective adsorption and cleavage of H₂O molecules on the catalyst surface. This work represents a general strategy to exploit efficient and stable hybrid electrocatalysts for renewable energy applications by rational catalyst interface engineering.     

Structural,morphological, dielectric and magnetic properties of Zn-Zr co-doping yttrium iron garnet

In this study, yttrium iron garnet co-doped with Zn and Zr atoms with a chemical formula Y₃Zn_xZr_xFe_(5−2x)O₁₂ (x = 0.0-0.3) has been successfully prepared by the solid-state reaction method. The effects of doping concentration on the microstructure, crystal structure, magnetic properties, and dielectric properties of Y₃Zn_xZr_xFe_(5−2x)O₁₂ were investigated. The microstructure analysis indicates that co-doping of YIG with Zn and Zr can effectively reduce the grain size of the ceramic. The crystal structure results reveal that the doping concentration of Zn–Zr has substantial influence on the lattice parameters of YIG, such as, increases the lattice constant, crystal cell size, and interplanar spacing. However, the second phase of ZrO₂ appears once x ≥ 0.15. Additionally, the dielectric properties of YIG ferrite can be regulated using this Zn–Zr co-doping method. Zn–Zr co-doping can improve the dielectric stability and reduce the dielectric loss at high temperature. The magnetization measurement shows that the saturation magnetization is stabilized at x < 0.15, and the magnetic loss is decreased with the increase in the doping concentration. Overall, the findings show that the ceramic with x = 0.1 exhibits better properties included high saturation magnetization (24.607 emu/g), low magnetic loss (0.0025 @ 1 MHz), and relatively low dielectric loss (496 @ 400°C).     

Detection of correlation characteristics between financial time series based on multi-resolution analysis

Interactions between financial time series are complex and changeable in both time and frequency domains. To reveal the evolution characteristics of the time-varying relations between bivariate time series from a multi-resolution perspective, this study introduces an approach combining wavelet analysis and complex networks. In addition, to reduce the influence the phase lag between the time series has on the correlations, we propose dynamic time-warping (DTW) correlation coefficients to reflect the correlation degree between bivariate time series. Unlike previous studies that symbolized the time series only based on the correlation strength, the second-level symbol is set according to the correlation length during the coarse-graining process. This study presents a novel method to analyze bivariate time series and provides more information for investors and decision makers when investing in the stock market. We choose the closing prices of two stocks in China’s market as the sample and explore the evolutionary behavior of correlation modes from different resolutions. Furthermore, we perform experiments to discover the critical correlation modes between the bull market and the bear market on the high-resolution scale, the clustering effect during the financial crisis on the middle-resolution scale, and the potential pseudo period on the low-resolution scale. The experimental results exactly match reality, which provides powerful evidence to prove that our method is effective in financial time series analysis.     

甲基氯硅烷精馏流程的模拟与优化

采用Aspen plus软件对工业七塔精馏过程进行全流程建模与模拟，优化工艺参数，研究了新的精馏节能工艺。对一甲塔等7个精馏塔采用双因素水平的灵敏度分析，考察了塔釜采出率、回流比、进料位置和塔顶压力对产品浓度和热负荷的影响，确定一甲塔最优的工艺参数：塔釜摩尔采出率为0.92，摩尔回流比为130，塔顶压力为0.18 MPa，总理论板数为400，在210块理论板位置进料。在此基础上，针对高能耗的脱高塔/脱低塔，模拟研究了双效精馏新工艺，新工艺可节省39.70%的年总成本；针对一甲塔模拟研究了热泵精馏新工艺，新工艺可降低41.42%的年总成本。     

Searching and learning english translation long text information based on heterogeneous multiprocessors and data mining

Cooperation with the entire language information retrieval aims to develop intelligent models that use non-compliant and English. It has been constructed to construct the translation model extraction of similar Source Language Sentences Extraction (SLSE). The SLSE, by creating a new pipeline of SLSE through the establishment of the network described above, the first bilingual dictionary of the model of training data, including the Deep Neural Network (DNN) that has been proposed, because it is often in such, it is building because it plays a very important role in the model, SLSE is evaluated by people to ensure the richness of the content that has been used as training data. If the English applicable, not built from 60 gigabytes of text. Since the processing time for it when not highly structured data mining is large, it is troublesome to collect data on this scale. To shorten the processing time, data mining is implemented as a whole.     

内嵌纳凝胶阴离子交换聚甲基丙烯酸羟乙酯复合晶胶分离苯乳酸研究

采用超声乳化聚合法制备了聚甲基丙烯酸丁酯纳凝胶，然后经结晶致孔法制备了内嵌纳凝胶的甲基丙烯酸羟乙酯纳晶胶，对其接枝功能单体N，N，N-三甲基乙烯基苯甲氯化铵，得到内嵌纳凝胶阴离子交换纳晶胶，用于从发酵液中分离苯乳酸。结果表明：所得纳晶胶具有良好的渗透性能和轴向分散性能，在流速为1 cm·min^-1时，不同配比纳晶胶对牛血清白蛋白的吸附容量为3.9~5.4 mg·ml^-1；将质量比为 8∶2（HEMA∶pBMA）的纳晶胶用于从转化液中分离苯乳酸，所得苯乳酸的纯度达89.24%，回收率93.74%，分离效果好，表明其在生物分离方面有良好的应用前景。     

基于强化学习的电力市场信息披露程度对市场成员交易行为影响研究

基于信息披露的主体框架，分析披露体系中具体的供需信息对于市场成员的引导作用。建立日前市场的双层竞价优化模型，采用强化学习的方法，通过市场中有无关键供求信息披露对于发电商报价预期的影响，推演模拟不同信息披露程度下发电商报价行为，然后从策略演化过程、策略偏离度以及策略收敛速度3个角度进行信息披露程度对市场成员交易行为影响的定量分析，验证市场供需信息的发布程度对于市场成员的引导作用，最后基于推演结果进行总结，并对我国信息披露的建设提出建议与思考。