32 research outputs found

    Type-III Dirac fermions in HfxZr1-xTe2 topological semimetal candidate (data)

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    This dataset contains the raw data files connected to the figures included in the paper "Type-III Dirac fermions in HfxZr1-xTe2 topological semimetal candidate" by S. Fragkos et al., Journal of Applied Physics 129, 075104 (2021); https://doi.org/10.1063/5.0038799 An Open Access version of the paper can be found here: https://zenodo.org/record/4562057#.YaDC4NBBxP

    Author Correction: RNAs coordinate nuclear envelope assembly and DNA replication through ELYS recruitment to chromatin

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    In the original version of this Article, the affiliation details for Antoine Aze, Michalis Fragkos, Stéphane Bocquet, Julien Cau and Marcel Méchali incorrectly omitted ‘CNRS and the University of Montpellier’. This has now been corrected in both the PDF and HTML versions of the Article.</jats:p

    Magnetic skyrmion manipulation in CrTe2/WTe2 2D van der Waals heterostructure

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    Magnetic skyrmions in two-dimensional van der Waals materials provide an ideal platform to push skyrmion technology to the ultimate atomically thin limit. In this work, we theoretically demonstrate the Dzyaloshinskii–Moriya interaction and the formation of a Néel-type skyrmion lattice at the CrTe2/WTe2 bilayer van der Waals heterostructure. Our calculations suggest a field-controlled Néel-type skyrmion lattice – ferromagnet transition cycle. In addition, a spin-torque induced by spin-polarized current injection was simulated in order to study the motion of a skyrmion on a racetrack, where an increase of the skyrmion Hall angle is observed at high temperatures. Consequently, this study suggests that generation and annihilation of skyrmions can be achieved with temperature or field control and also manipulate the velocity and the direction of the Néel-type skyrmions, through ultra-low current densities and temperature, thus, shedding light to the general picture of magnetic skyrmion control and design on two-dimensional van der Waals heterostructures.The following article has been accepted by Applied Physics Letters. After it is published, it will be found at https://doi.org/10.1063/5.0089999 This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Appl. Phys. Lett. and may be found at https://doi.org/10.1063/5.0089999. For Creative Commons licensed material, please use: "Copyright 2022 Author(s). This article is distributed under a Creative Commons Attribution (CC BY) License.

    V2X Communication over Cellular Networks: Capabilities and Challenges

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    Vehicular communications is expected to be one of the key applications for cellular networks during the following decades. Key international organizations have already described in detail a number of related use cases, along with their requirements. This article provides a comprehensive analysis of these use cases and a harmonized view of the requirements for the latest and most advanced autonomous driving applications. It also investigates the extent of support that 4G and 5G networks can offer to these use cases in terms of delay and spectrum needs. The paper identifies open issues and discusses trends and potential solutions

    Response of the TEROS 12 Soil Moisture Sensor under Different Soils and Variable Electrical Conductivity

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    In this work, the performance of the TEROS 12 electromagnetic sensor, which measures volumetric soil water content (&theta;), bulk soil electrical conductivity (&sigma;b), and temperature, is examined for a number of different soils, different &theta; and different levels of the electrical conductivity of the soil solution (ECW) under laboratory conditions. For the above reason, a prototype device was developed including a low-cost microcontroller and suitable adaptation circuits for the aforementioned sensor. Six characteristic porous media were examined in a &theta; range from air drying to saturation, while four different solutions of increasing Electrical Conductivity (ECw) from 0.28 dS/m to approximately 10 dS/m were used in four of these porous media. It was found that TEROS 12 apparent dielectric permittivity (&epsilon;a) readings were lower than that of Topp&rsquo;s permittivity&ndash;water content relationship, especially at higher soil water content values in the coarse porous bodies. The differences are observed in sand (S), sandy loam (SL) and loam (L), at this order. The results suggested that the relationship between experimentally measured soil water content (&theta;m) and &epsilon;a0.5 was strongly linear (0.869 &lt; R2 &lt; 0.989), but the linearity of the relation &theta;m-&epsilon;a0.5 decreases with the increase in bulk EC (&sigma;b) of the soil. The most accurate results were provided by the multipoint calibration method (CAL), as evaluated with the root mean square error (RMSE). Also, it was found that &epsilon;a degrades substantially at values of &sigma;b less than 2.5 dS/m while &epsilon;a returns to near 80 at higher values. Regarding the relation &epsilon;a-&sigma;b, it seems that it is strongly linear and that its slope depends on the pore water electrical conductivity (&sigma;p) and the soil type

    Performance Evaluation of TEROS 10 Sensor in Diverse Substrates and Soils of Different Electrical Conductivity Using Low-Cost Microcontroller Settings

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    This study sheds light on the performance of the common high-precision electromagnetic sensor TEROS 10 to estimate volumetric soil water content (θ) from dry to saturation across three different substrates, six different soil types having three different levels of electrical conductivity of soil solutions (ECw), and in liquids with increasing salinity level under laboratory conditions, by using low-cost but accurate experimental IoT hardware arrangements. This performance was evaluated using statistical analysis metrics such as Root Mean Square Error (RMSE). It was found that TEROS 10 performance did not conform to the manufacturer’s specifications throughout the full scale range, although in some cases good water content estimation was provided. Some inconsistencies were identified by applying the manufacturer’s calibration equations, and thus recommendations for improvements are provided, aiming to enhance the sensor’s overall performance. TEROS 10 performance across all six soils and three substrates was improved on average from an RMSE of 0.052 and 0.078 cm3 cm−3, respectively, by using factory-derived calibration, to 0.031 and 0.031 cm3 cm−3 by using the multipoint calibration method (CAL). Furthermore, a linear calibration formula, using Raw output as the predictor variable, was tested and resulted in an RMSE of 0.026 and 0.046 cm3 cm−3 for soils and substrates, respectively

    Implementation and Evaluation of a Low-Cost Measurement Platform over LoRa and Applicability for Soil Monitoring

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    Efficiently reporting soil-specific information is of key importance for plant growth but can be quite demanding as well. Indeed, it may require expensive digitizers, subscriptions to services for communication links between each sensor and the cloud, and the incorporation of power-hungry elements. Added to this, soil sensors may vary drastically, e.g., in terms of power characteristics, response times, or interfacing options. The need for improved energy autonomy increases reporting complexity, as it presupposes that the participating components will enter a low-power (sleep) state when not in action. Furthermore, the IoT nodes hosting the sensing instruments should be able to work unattended for long periods under varying environmental conditions. In response to the aforementioned physical and technical challenges, this work highlights the details behind the cooperation of a cost-effective microprocessor equipped with a radio transceiver and some simple and widely available electronic components to form nodes that can host a diverse set of soil sensors and deliver reliable data in satisfactory ranges. The sensitivity and power efficiency of the LoRa protocol make it ideal for rural agri-field use; in the meantime, optimized action/sleep management, along with tiny solar panels, guarantee sustainable operation. The proposed system was tested utilizing various typical soil instruments, and its range coverage, consumption, and measurement quality were thoroughly evaluated under different installation settings, thus providing guidance for similar implementations and indicating its suitability for a wide set of monitoring applications

    ESCAPE: Evacuation Strategy through Clustering and Autonomous Operation in Public Safety Systems

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    Natural disasters and terrorist attacks pose a significant threat to human society, and have stressed an urgent need for the development of comprehensive and efficient evacuation strategies. In this paper, a novel evacuation-planning mechanism is introduced to support the distributed and autonomous evacuation process within the operation of a public safety system, where the evacuees exploit the capabilities of the proposed ESCAPE service, towards making the most beneficial actions for themselves. The ESCAPE service was developed based on the principles of reinforcement learning and game theory, and is executed at two decision-making layers. Initially, evacuees are modeled as stochastic learning automata that select an evacuation route that they want to go based on its physical characteristics and past decisions during the current evacuation. Consequently, a cluster of evacuees is created per evacuation route, and the evacuees decide if they will finally evacuate through the specific evacuation route at the current time slot or not. The evacuees&rsquo; competitive behavior is modeled as a non-co-operative minority game per each specific evacuation route. A distributed and low-complexity evacuation-planning algorithm (i.e., ESCAPE) is introduced to implement both the aforementioned evacuee decision-making layers. Finally, the proposed framework is evaluated through modeling and simulation under several scenarios, and its superiority and benefits are revealed and demonstrated
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