Showing papers by "Xuzhou Institute of Technology published in 2022"

Two-dimensional selenium and its composites for device applications

Abstract: Two-dimensional (2D) selenium was synthesized successfully in 2017. Its advanced properties, including size-dependent bandgap, excellent environmental robustness, strong photoluminescence effect, anisotropic thermal conductivity, and high photoconductivity, render it and selenium-based composites a promising candidate for various device applications. These include batteries, modulators, photodetectors, and photothermal effects in medical applications. However, compared to other commonly used 2D materials, such as graphene, transition metal dichalcogenides, and black phosphorus, 2D Se is much less known. Motivated by the need to overcome this lack of knowledge, this article focuses on recent progress and elucidates the crystal structure, synthesis methods, physical properties, applications, challenges, and prospects of 2D Se nanoflakes.

Energy-efficient removal of carbamazepine in solution by electrocoagulation-electrofenton using a novel P-rGO cathode

Abstract: In this study, carbamazepine (CBZ) decay in solution has been studied by coupling electrocoagulation with electro-Fenton (EC-EF) with a novel P-rGO/carbon felt (CF) cathode, aiming to accelerate the in-situ generation of •OH, instead of adding Fe2+ and H2O2. Firstly, the fabricated P-rGO and its derived cathode were characterized by XRD, SEM, AFM, XPS and electrochemical test (EIS, CV and LSV). Secondly, it was confirmed that the performance in removal efficiency and electric energy consumption (EEC) by EC-EF (kobs=0.124 min−1, EEC=43.98 kWh/kg CBZ) was better than EF (kobs=0.069 min−1, EEC=61.04 kWh/kg CBZ). Then, P-rGO/CF (kobs=0.248 min−1, EEC=29.47 kWh/kg CBZ, CE=61.04%) showed the best performance in EC-EF, among all studied heteroatom-doped graphene/CF. This superior performance may be associated with its largest layer spacing and richest C=C, which can promote the electron transfer rate and conductivity of the cathode. Thus, more H2O2 and •OH could be produced to degrade CBZ, and almost 100% CBZ was removed with kobs being 0.337 min−1 and the EEC was only 24.18 kWh/kg CBZ, under the optimal conditions (P-rGO loading was 6.0 mg/cm2, the current density was 10.0 mA/cm2, the gap between electrode was 2.0 cm). Additionally, no matter the influent is acidic, neutral or alkaline, no additional pH adjustment is required for the effluent of EC-EF. At last, an inconsecutive empirical kinetic model was firstly established to predict the effect of operating parameters on CBZ removal.

Blind Restoration of Atmospheric Turbulence-Degraded Images Based on Curriculum Learning

Abstract: Atmospheric turbulence-degraded images in typical practical application scenarios are always disturbed by severe additive noise. Severe additive noise corrupts the prior assumptions of most baseline deconvolution methods. Existing methods either ignore the additive noise term during optimization or perform denoising and deblurring completely independently. However, their performances are not high because they do not conform to the prior that multiple degradation factors are tightly coupled. This paper proposes a Noise Suppression-based Restoration Network (NSRN) for turbulence-degraded images, in which the noise suppression module is designed to learn low-rank subspaces from turbulence-degraded images, the attention-based asymmetric U-NET module is designed for blurred-image deconvolution, and the Fine Deep Back-Projection (FDBP) module is used for multi-level feature fusion to reconstruct a sharp image. Furthermore, an improved curriculum learning strategy is proposed, which trains the network gradually to achieve superior performance through a local-to-global, easy-to-difficult learning method. Based on NSRN, we achieve state-of-the-art performance with PSNR of 30.1 dB and SSIM of 0.9 on the simulated dataset and better visual results on the real images.

Sulfur dopant-enhanced neutral hydrogen evolution performance in MoO3 nanosheets

Abstract: Developing nonprecious-metal based catalysts with highly active and stable performance for hydrogen evolution reaction (HER) in neutral media is crucial points for realizing low-carbon economy because their practical use typically suffers from the slow kinetics. Herein, we developed S-doped MoO3nanosheets toward neutral HER, fabricated by a versatile solvothermal and subsequently sulfuration processes. The obtained catalyst exhibits a small overpotential of 106 mV to reach 10 mA cm-2in 1.0 M phosphate buffered saline, overwhelming most of recently reported catalysts. Meantime, it shows no notable deactivation after more than 60 h continuous electrolysis and 50 000 cycling tests. More importantly, the catalyst also can be applied in buffered seawater for electrocatalyzing HER, requiring 262 mV at 10 mA cm-2and maintaining over 60 h. These findings open a new route for designing MoO3-based catalysts for neutral hydrogen production.

New semi-discrete AKNS hierarchy and its reductions

Abstract: In the paper we consider the new semi-discrete Ablowitz–Kaup–Newell–Segur (sdAKNS) hierarchies and their reduction cases. In terms of a new linear combination of the two-potential Ablowitz–Ladik (AL) recursion operator and inverse recursion operator, the new sdAKNS isospectral and non-isospectral flows, as well as corresponding hierarchies are derived. By means of the continuous limit theory, both these flows and hierarchies go to the continuous AKNS flows and hierarchies, and the recursion operator goes to the AKNS recursion operator. Moreover, as the reduction systems of the new sdAKNS system, the vector form of the new semi-discrete nonlinear Schrödinger (sdNLS) hierarchies and the new semi-discrete modified Korteweg–de Vries (sdmKdV) hierarchies can be deduced under the different reductions. Furthermore, a new sdNLS equation and a new sdmKdV equation are derived. The above equations go to the counterparts of the continuous AKNS system and its reduction cases under continuous limit.