Abstract Recent advancements in electrically controlled spin devices have been made possible through the use of multiferroic systems comprising ferroelectric (FE) and ferromagnetic (FM) materials. This progress provides a promising avenue for developing energy-efficient devices that allow for electrically controlled magnetization switching. In this study, we fabricated spin orbit torque (SOT) devices using multiferroic composites and examined the angular dependence of SOT effects on localized in-plane strain induced by an out-of-plane electric field applied to the piezoelectric substrate. The induced strain precisely modulates magnetization switching via the SOT effect in multiferroic heterostructures, which also exhibit remarkable capability to modulate strain along different orientations – a feature with great potential for future applications in logic device arrays. To investigate the influence of electric fields on magnetization switching, harmonic Hall measurements, synchrotron-powered x-ray magnetic circular dichroism-photoemission electron microscopy (XMCD-PEEM), x-ray diffraction (XRD), magnetic force microscopy (MFM), and micromagnetic simulation were conducted. The results demonstrate that electric-field-induced strain enables precise control of SOT-induced magnetization switching with significantly reduced energy consumption, making it highly suitable for next-generation spin logic devices.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
China is launching the Chang'e project to send automated machine for acquiring the lunar soil and returning to the earth. Thus, we are trying to develop a kind of effective mechanism for the exploration mission of lunar soil coring. This paper presents a rotary-percussive coring drill which is a novel scheme for the deep surface soil acquirement. Two degrees of freedom are included in the proposed drill mechanism. Specifically-designed drill unit including auger and drill bit is employed to finish the coring of the simulant of lunar regolith. We have proposed a novel coring concept named soft-bag coring. Since there is no relative motion between the soft-bag and the cut soil core, the soft-bag method may keep the original stratification of lunar soil. A test-bed has been developed to conduct experimental tests under different drilling parameters and circumstances. The related drilling parameters such as rotary speed, penetration ratio, and percussive frequency are adjusted to adapt to different situations in the experiments. The experimental results indicate that the specifically considered drill mechanism with soft-bag inside can get high coring ratio and excellent stratification of the soil.
The bandgap often plays an important role in functional materials applications. For example, optoelectronic materials are generally wide bandgap semiconductors, while thermoelectric materials are narrow bandgap semiconductor materials. Therefore, predicting the bandgap rapidly and accurately for a given class of materials structures has great scientific importance for the functional materials applications. However, considering that the method of obtaining high-precision band gaps based on first-principles high-throughput calculations is time consuming and inefficient, and it is also not realistic to systematically measure a large number of material system band gaps. Machine learning methods based the statistics may be a promising alternative. This paper designs an ensemble learning model for effectively and accurately predicting bandgap values. Based on the calculated band gap values of diamond-like structures in thermoelectric materials, on the one hand, single component substitution strategy was used to generate large quantities of similar compounds, and the repetitive structures was filtered out by using the structural repeatability examination technique, resulting in 356 unique material structures. On the other hand, in combination with machine learning techniques, an efficient band gap prediction model was constructed, and by which the band gap values of 50 similar material systems are predicted and verified. As is the result of the experiment, this prediction model has 77.73% accuracy. It is enough robustness and stability to be widely used in thermoelectric materials application scenarios which require large band gap prediction.
A flash imaging lidar based on a multiple-streak tube is presented in this paper; a fiber remapping optics maps light from an area in the focal plane of an imaging lens to multiple rows of fibers on the streak tube’s photocathode. The lidar system contains a multiple-streak tube, laser, transmitting and receiving telescope, remapping optical fibers, and CCD to capture stripe images from the streak tube’s phosphor screen. Data processing yields 48 × 48-pixel intensity and range images for each laser pulse. An experiment to test the property of this lidar is carried out in the laboratory; the intensity images and range images are gained by image remapping, and the range sampling is 0.21 m. Field test imagery demonstrated the capability of the flash lidar system to image a building 705 m away.
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
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