Enhanced corrosion protection by Al surface immobilization of in-situ grown layered double hydroxide films co-intercalated with inhibitors and low surface energy species

Abstract(#br)In this work, a novel in-situ grown layered double hydroxide (LDH) film co-intercalated with inhibitors (vanadates) and low surface energy substance (laurates) was immobilized on Al substrates. A long-term monitoring of electrochemical impedance spectra (EIS) of the various samples in 3.5 wt.% NaCl solution demonstrated the synergetic protection of the intercalated two functional species. Meanwhile, the X-ray diffraction (XRD) result of the samples after immersion in NaCl solution for a long time presented the anion-exchange process between vanadates/laurates and chlorides. The synergetic effect of the two species loaded film significantly contributed to the enhanced long-term corrosion protection of aluminum

Stability Analysis for Stochastic Neutral-Type Memristive Neural Networks with Time-Varying Delay and S-Type Distributed Delays

In this paper, we consider the input-to-stability for a class of stochastic neutral-type memristive neural networks. Neutral terms and S-type distributed delays are taken into account in our system. Using the stochastic analysis theory and Itô formula, we obtain the conditions of mean-square exponential input-to-stability for system. A numerical example is given to illustrate the correctness of our conclusions

Deconvolutional Method Utilizing Power Variable Point Spread Function for Resolution Degradation Mitigation in SBS-Based Optical Spectrum Analyzer

High-resolution optical spectroscopy is a significant approach to reveal the inherent laws of devices and systems. Although optical spectrum analyzer (OSA) based on stimulated Brillouin scattering (SBS) has achieved a resolution of ∼10 pm, when the signal power increases, the Brillouin gain spectrum (BGS) will saturate and cause resolution degradation. In order to solve this problem, we introduce shape factor k to describe the variation of BGS with signal power, and adopt the BGS as the point spread function (PSF). Then the signal is divided into several intervals with equal frequency spacing, where the BGS does not change. On this basis, we perform the Jansson-Van Cittert (JVC) algorithm to complete deconvolution in each interval with power variable PSF. The proposed method is used to test the periodic signal in SBS-OSA. Experimental results show that the proposed method can improve the spectral resolution from 22 MHz to 11 MHz when the frequency interval is 14 MHz and the signal power is −5 dBm

The role of strain and polar discontinuity in magnetism in LaMnO3/SrTiO3/LaAlO3 heterostructures

Creating novel interfacial effects in quantum-matter-based heterostructures is at the heart of condensed matter physics and materials science. [1] Utilizing the subtle interplay among charge, spin, orbit and lattice degrees of freedom, these interfacial effects can act as additional knobs to control the future oxide electronics. Among these interplays, two particularly interesting effects, the inevitable strain effect induced by unequal lattice constants and the ubiquitous charge redistribution effect at interfaces with a polar discontinuity. .MOE (Min. of Education, S’pore)Accepted versio

Influence of Whey Protein Micro-Gel Particles and Whey Protein Micro-Gel Particles-Xanthan Gum Complexes on the Stability of O/W Emulsions

Appropriate pretreatment of proteins and addition of xanthan gum (XG) has the potential to improve the stability of oil-in-water (O/W) emulsions. However, the factors that regulate the enhancement and the mechanism are still not clear, which restricts the realization of improving the emulsion stability by directional design of its structure. Therefore, the effects of whey protein micro-gel particles (WPMPs) and WPMPs-XG complexes on the stability of O/W emulsion were investigated in this article to provide theoretical support. WPMPs with different structures were prepared by pretreatment (controlled high-speed shear treatment of heat-set WPC gels) at pH 3.5–8.5. The impact of initial WPC structure and XG addition on Turbiscan Indexes, mean droplet size and the peroxide values of O/W emulsions was investigated. The results indicate that WPMPs and XG can respectively inhibit droplet coalescence and gravitational separation to improve the physical stability of WPC-stabilized O/W emulsions. The pretreatment significantly enhanced the oxidative stability of WPC-stabilized O/W emulsions. The addition of XG did not necessarily enhance the oxidative stability of O/W emulsions. Whether the oxidative stability of the O/W emulsion with XG is increased or decreased depends on the interface structure of the protein-XG complex. This study has significant implications for the development of novel structures containing lipid phases that are susceptible to oxidation

Multi-Functional Optical Spectrum Analysis Using Multi-Task Cascaded Neural Networks

In the optical communication systems, the optical spectrum (OS) provides useful informations for optical performance monitoring and optical link diagnosis. In this paper, we investigate the neural-network based OS analysis (OSA) techniques able to simultaneously recognize the OS and estimate the optical signal to noise ratio (OSNR), cascaded filtering distortion (CFD) and carrier wavelength drift (CWD). We demonstrate that, compared with the multi-task artificial neural network (MT-ANN) and convolutional neural network (MT-CNN), the proposed multi-task cascaded ANNs (CANN) and cascaded CNNs (CCNN) can greatly improve the OSA performance and accelerate the training process by exploiting specific features and loss functions for different tasks. The CCNN able to deal with the high-resolution OS (HOS) can further improve the OSA performance compared with the CANN. The averaged OS recognition accuracy and OSNR, CFD and CWD estimation errors obtained with the CCNN (CANN) for the 15 kinds of optical signals are 99.32% (97.07%), 0.36 (0.55) dB, 0.24 (0.32) and 0.04 (0.06) GHz, respectively, even when the various OS distortions are present. The proposed CANN and CCNN with a better versatility, higher OSA accuracy and faster convergence speed are promising enabling techniques for the future intelligent OSA systems