Structure and Magnetic Properties of Magnetostrictive FeGa Film on Single-Crystal (100) GaAs and (001) Si Substrate Fabricated by Pulsed Laser Deposition

Zhang, Y.; Turghun, Mutellip; Huang, Chaojuan; Wang, T.; Wang, Feiqian; Shi, Wangzhou

doi:10.1007/s40195-017-0686-0

Cited by 8 publications

(4 citation statements)

References 19 publications

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“…In recent years, with the wave of big data, data-driven decision-making has been expanding and deepening in many industries, among which the film industry is very prominent [1][2][3][4][5][6][7][8][9][10]. After using machine learning technology to analyze many movie scoring data, the famous movie rental company Netflix can predict a user's scoring of a certain movie with a high degree of accuracy, and this indirectly becomes the core technology for recommending movies to users.…”

Section: Introductionmentioning

confidence: 99%

Research on English Movie Resource Information Mining Based on Dynamic Data Stream Classification

Duan

Gao

2021

Security and Communication Networks

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Massive English film and television resources will provide people with a rich content, while it has become more and more difficult for people to find the resources and information they need. Through the analysis of massive amounts of film and television data, the application system can effectively push the works that users may like. In response to this problem, we can build an English film and television resource information mining model by combining fuzzy neural network algorithms and dynamic data stream classification technology. Firstly, we use dynamic data stream classification technology to preprocess and screen English film and television resource information. Secondly, we use the fuzzy neural network algorithm to conduct data mining on related film and television resource information. The experimental results verify the superior performance of the English film and television resource information mining model established in this paper. This model can help people to find the resources and information they need.

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Section: Introductionmentioning

confidence: 99%

Research on English Movie Resource Information Mining Based on Dynamic Data Stream Classification

Duan

Gao

2021

Security and Communication Networks

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“…For gun metal alloy (C90300), the increase in the hardness was 32% at 300 laser shots. The variation in hardness outside the crater as a function of the number of laser shots was attributed to the change in the microstructure [28,29,30] of the gunmetal by the laser irradiation.…”

Section: Resultsmentioning

confidence: 99%

Laser Surface Hardening of Gun Metal Alloys

Naeem¹,

Mehmood

et al. 2019

Materials

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The effect of laser irradiation with different numbers of laser shots on the microstructure, the surface, and the hardness of gun metal alloy was studied by a KrF pulsed excimer laser system, X-ray diffraction, Raman spectroscopy, scanning electron microscopy, and Vickers hardness test. The influence of 100–500 laser shots was irradiated on the surface hardness profile and on the microstructure of gunmetal alloy. XRD results showed the maximum 2θ shift, the maximum full width of half maximum FWHM, the maximum dislocation density, and the minimum crystallite size for the sample irradiated with 300 laser shots. The hardness was measured in three different regions at the laser irradiated spot, and it was found that maximum hardness was present at the heat affected zone for all samples. The hardness value of the un-irradiated sample of gun metal was 180, and the value increased up to 237 by raising the number of laser shots up to 300. The peak value of surface hardness of the laser treated sample was 32% higher than the un-irradiated sample. The Raman shift of the un-exposed sample was 605 cm−1 and shifted to a higher value of wave number at 635 cm−1 at 300 laser shots. The hardness value was decreased by further increasing the number of laser shots up to 500. The samples irradiated with 400 and 500 laser shots exhibited smaller hardness and dislocation defect density, which was assigned to possible annealing caused by irradiation.

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“…Gallium (Ga), one of the rare elements of broad scattering, has been widely used to various industrial products such as semiconductor industry, 1 solar cell industry, and electronic devices [2][3][4][5][6][7] due to its unique physicochemical properties. However, its abundance of the whole mass of the earth is 15 ppm.…”

Section: Introductionmentioning

confidence: 99%

Recovery of gallium by silica‐based polymer TBP/SiO₂‐P obtained from hydrochloric acid solution

Meng

Zhou

et al. 2020

J of Applied Polymer Sci

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Resin adsorption methods are widely used to recover gallium (Ga) from Bayer liquid. However, when the resin adsorbs Ga(III), a part of vanadium (V), magnesium (Mg), silicon (Si), calcium (Ca), and aluminum (Al) were coextracted with Ga and then was eluted together by using hydrochloric acid (HCl) solution. These impurities would affect the recovery of high-purity Ga by electrolysis. Ga-bearing acid eluted solution treatment followed by secondary adsorption was used to purify Ga(III) by a porous silica-based adsorbent tributyl phosphate (TBP)/SiO 2-P. The adsorption properties of Ga(III) by TBP/SiO 2-P from HCl were investigated. TBP/SiO 2-P exhibits significantly high selectivity toward Ga than other impurities with SF A/B is 3478 in 8 mol/L HCl solution. The adsorption capacity reaches 22.01 mg/g and adsorption equilibrium was obtained within 5 min. Moreover, Ga(III) is easy to be eluted by ultrapure water with a rate of 95.58%. The adsorption kinetics and isotherms of Ga fit well with the pseudo-first-order model and Langmuir adsorption model, respectively. TBP/SiO 2-P is an excellent material to recover Ga(III) from HCl solution effectively and efficiently. Moreover, this work provides a potential candidate for purifying Ga from Bayer liquor by the two-step method (purify and adsorb the desorption liquid containing Ga hydrochloride). Highlights • A silica-polymer based adsorbent TBP/SiO 2-P was prepared through a simple vacuum impregnation method and use to purify Ga from Bayer liquor by the two-step method. • A simple and efficient method for Ga purification was proposed with a high-adsorption capacity and short equilibrium time. • In the coexisting ions mixed solution, TBP/SiO 2-P has a high-selective toward Ga(III), Ultrapure water can effectively desorb Ga from adsorbent with the desorption rate of about 95.58%.

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Structure and Magnetic Properties of Magnetostrictive FeGa Film on Single-Crystal (100) GaAs and (001) Si Substrate Fabricated by Pulsed Laser Deposition

Cited by 8 publications

References 19 publications

Research on English Movie Resource Information Mining Based on Dynamic Data Stream Classification

Research on English Movie Resource Information Mining Based on Dynamic Data Stream Classification

Laser Surface Hardening of Gun Metal Alloys

Recovery of gallium by silica‐based polymer TBP/SiO₂‐P obtained from hydrochloric acid solution

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Structure and Magnetic Properties of Magnetostrictive FeGa Film on Single-Crystal (100) GaAs and (001) Si Substrate Fabricated by Pulsed Laser Deposition

Cited by 8 publications

References 19 publications

Research on English Movie Resource Information Mining Based on Dynamic Data Stream Classification

Research on English Movie Resource Information Mining Based on Dynamic Data Stream Classification

Laser Surface Hardening of Gun Metal Alloys

Recovery of gallium by silica‐based polymer TBP/SiO2‐P obtained from hydrochloric acid solution

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Product

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Recovery of gallium by silica‐based polymer TBP/SiO₂‐P obtained from hydrochloric acid solution