Magnetic and electronic properties of Fe3O4/PtSe2/Fe3O4 junctions

Toktarbaiuly, Olzat; Syrlybekov, Askar; Mauit, Ozhet; Kurbanova, Aliya; Sugurbekova, Gulnar; Shvets, I. V.

doi:10.1016/j.matpr.2020.11.579

Cited by 3 publications

(4 citation statements)

References 35 publications

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“…The phenomenon is due to unbalanced molecular forces at the water/solids interface, which causes surface tension. Low surface energy resists wetting [45,46]. The high contact angle of hydrophobized sand (151°) and glass (165°) confirmed the formation of superhydrophobic coatings (Figure 7).…”

Section: Contact Angle (Oca) Studymentioning

confidence: 80%

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Superhydrophobic SiO2/Trimethylchlorosilane Coating for Self-Cleaning Application of Construction Materials

et al. 2022

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This study has demonstrated, for the first time, the potential application of coatings to protect bricks or architectures against detrimental atmospheric effects via a self-cleaning approach. In this research, a facile fabrication method was developed to produce amorphous SiO2 particles and their hierarchical structures via applying trimethylchlorosilane (TMCS). They were fully characterized by various surface analytic tools, including a goniometer, SEM, AFM, zeta sizer, and a spectroscopic technique (FTIR), and then applied as super hydrophobic coatings on glass and sand. The characterization results revealed that the SiO2 particles are amorphous, quasi-spherical particles with an average diameter of 250–300 nm, and the hierarchical structures in the film were assembled from building blocks of SiO2 and TMCS. The wettability of the films can be controlled by changing the pH of the SiO2/TCMS dispersion. A super hydrophobic surface with a water contact angle of 165° ± 1° was achieved at the isoelectric point of the films. The obtained translucent super hydrophobic SiO2/TMCS coatings show good self-cleaning performances for glass and sand as construction materials. This study indicated that the superhydrophobic coatings may have potential applications in the protection of buildings and construction architectures in the future.

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Section: Contact Angle (Oca) Studymentioning

confidence: 80%

“…The phenomenon is due to unbalanced molecular forces at the water/solids interface, which causes surface tension. Low surface energy resists wetting [45,46].…”

Section: Contact Angle (Oca) Studymentioning

confidence: 99%

Superhydrophobic SiO2/Trimethylchlorosilane Coating for Self-Cleaning Application of Construction Materials

et al. 2022

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“…Furthermore, MTJ has yielded findings based on the tunnel magnetoresistance (TMR) ratio, which is crucial for magnetoresistive system memory [11]. To the two fundamental factors, the spin of every free electron is maintained, and the tunnelling likelihood is directed to the sum of the charge density in the magnetic particles [12,13]. The tunnelling probability is significant if the electron spin is predominant in the two ferromagnetic materials.…”

Section: Introductionmentioning

confidence: 99%

Design of behavior prediction model of molybdenum disulfide magnetic tunnel junctions using deep networks

Makdey¹,

Patrikar

2023

Semicond. Sci. Technol.

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Magnetic tunnel junctions (MTJs) are widely used in spintronics development owing to their high scalability and minimal power consumption. However, analyzing the electrical and magnetic behaviors of MTJs in real-time applications is challenging. In this study, an MTJ based on molybdenum disulfide (MoS2) wasdesigned, and a novel deep Elman neural behavior prediction model wasdeveloped to analyze its behavior. In the proposed model, MoS2 acts as a tunnel barrier, and iron oxide (Fe3O4) acts as a ferromagnetic electrode. The interface between Fe3O4 and MoS2 in the MTJ improves the spin polarization and tunnel magnetoresistance ratio. Herein, the performance parameters of the MTJ wereused as inputs for the developed prediction model, which analyzes the magnetic and electrical properties of the MTJ using prediction parameters. The spin currents in the parallel and anti-parallel configurations werealso determined. The designed model wasimplemented using MATLAB and validated through comparison of simulation and experimental results.

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“…Obtaining environmentally friendly "green" materials for superhydrophobic coating plays a significant role and contributes to the improvement of the level and quality of life of the population [7][8][9][10]. Superhydrophobic sand on vicinal surfaces is an intriguing and innovative area of study that merges the principles of materials science and surface chemistry [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Desert Water Saving and Transportation for Enhanced Oil Recovery: Bridging the Gap for Sustainable Oil Recovery

Toktarbaiuly,

Kurbanova,

Imekova

et al. 2023

Eurasian Chem.-Technol. J.

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With concerns about water scarcity in arid regions, innovative solutions are imperative to meet the increasing water demand for Enhanced Oil Recovery (EOR) processes. This article presents a study on the preparation of superhydrophobic sand for water-saving and storage, with a focus on potential applications in EOR. The results of the research indicate that the maximum water contact angle after sand hydrophobization was 158°. The water storage capacity of the sand was assessed by growing plants in soil layered with superhydrophobic sand. When superhydrophobic sand was used both above and below the soil, the soil remained moist for more than 10 days. In contrast, without the use of superhydrophobic sand, soil moisture lasted for only 3 days. This research demonstrates the potential of superhydrophobic sand in prolonging soil moisture, making it a valuable asset for water-saving applications in EOR and arid regions.

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Magnetic and electronic properties of Fe3O4/PtSe2/Fe3O4 junctions

Cited by 3 publications

References 35 publications

Superhydrophobic SiO2/Trimethylchlorosilane Coating for Self-Cleaning Application of Construction Materials

Superhydrophobic SiO2/Trimethylchlorosilane Coating for Self-Cleaning Application of Construction Materials

Design of behavior prediction model of molybdenum disulfide magnetic tunnel junctions using deep networks

Desert Water Saving and Transportation for Enhanced Oil Recovery: Bridging the Gap for Sustainable Oil Recovery

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