The low adsorption and reflectivity from infrared to ultraviolet rays account for the high transmittance of Ti3C2T2that has been experimentally observed, and it is predicted that Ti2CT2will have higher optical transmittance in this range.
Wind speed forecasting is challenging due to its intermittent nature. The wind speed time series (TS) has nonlinear and nonstationary characteristics and not normally distributed, which make it difficult to be predicted by statistical or computational intelligent methods. Empirical mode decomposition (EMD) and its improved versions are powerful tools to decompose a complex TS into a collection of simpler ones. The improved versions discussed in this paper include ensemble EMD (EEMD), complementary EEMD (CEEMD), and complete EEMD with adaptive noise (CEEMDAN). The EMD and its improved versions are hybridized with two computational intelligence-based predictors: support vector regression (SVR) and artificial neural network (ANN). The EMD-based hybrid forecasting methods are evaluated with 12 wind speed TS. The performances of the hybrid methods are compared and discussed. It shows that EMD and its improved versions enhance the performance of SVR significantly but marginally on ANN, and among the EMD-based hybrid methods, the proposed CEEMDAN-SVR is the best method. Possible future works are also recommended for wind speed forecasting.Index Terms-Artificial neural networks (ANNs), empirical mode decomposition (EMD), support vector regression (SVR), wind speed forecasting.
Recently synthesized two-dimensional (2D) boron, borophene, exhibits a novel metallic behavior rooted in the s-p orbital hybridization, distinctively different from other 2D materials such as sulfides/selenides and semi-metallic graphene. This unique feature of borophene implies new routes for charge delocalization and band gap opening. Herein, using first-principles calculations, we explore the routes to localize the carriers and open the band gap of borophene via chemical functionalization, ribbon construction, and defect engineering. The metallicity of borophene is found to be remarkably robust against H- and F-functionalization and the presence of vacancies. Interestingly, a strong odd-even oscillation of the electronic structure with width is revealed for H-functionalized borophene nanoribbons, while an ultra-high work function (∼7.83 eV) is found for the F-functionalized borophene due to its strong charge transfer to the atomic adsorbates.
With the availability of various types of two-dimensional materials such as graphene (GE) and MoS 2 , intensive efforts have been devoted to their van der Waals heterostructures obtained by vertically stacking them together for novel functionalities and applications. The thermal transport behavior of these heterostructures plays a pivotal role in determining their functional performance. This work studies the thermal transport in a GE-MoS 2 bilayer heterostructure via molecular dynamics simulation. It is found that the in-plane thermal conductivity l B of the GE-MoS 2 bilayer can be approximated by that of an isolated monolayer GE. The l B of an infinitely long GE-MoS 2 bilayer is calculated to be 1037 W m À1 K À1 , while its out-of-plane interface thermal conductance G is obtained as 5.81 MW m À2 K À1 . The increase in the interface coupling strengths can dramatically increase G but has little effect on l B . On the other hand, G also increases with temperature because of the enhanced phonon coupling between GE and MoS 2 . This study is helpful for understanding the interface thermal transport behaviors of novel van der Waals heterostructures and could provide guidance for optimal design and control of their thermal properties.
Binary metal selenides (ZnSe/CoSe) encapsulated in N-doped carbon polyhedra interconnected with carbon nanotubes (ZCS@NC/CNTs) are prepared through a simple solution method, involving subsequent in situ pyrolysis and selenization of the metal–organic framework (MOF) precursor.
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