bluuebunny/crossref_metadata_2025_split huggingface dataset:
Imbert–Fedorov shift at black phosphorus-coated surfaces
Authors: Chen Huan , Ma Honghua , Ding Yanyan , Li Qianguang , Yi Xunong 
Published: June 2022

Abstract
In this work, the Imbert–Fedorov (IF) shift is systematically investigated when a light beam is incident on black phosphorus. Using the angular spectrum theory, we obtain the analytical expressions of IF shifts for a p-polarized and s-polarized beam. Based on the theoretical analysis, numerical calculations are performed. The results indicate that the IF shifts depend on the incident angle, polarization and frequency of incident light, as well as the optical axis angle and electron concentration of black phosphorus. These characteristics make it possible to accurately measure the physical parameters of two-dimensional atomic materials based on IF shifts.
Cavity-assisted coherent feedback cooling of a mechanical resonator to the ground-state in the unresolved sideband regime
Authors: Mansouri Daryoosh , Rezaie Behrooz , Ranjbar N Abolfazl , Daeichian Abolghasem 
Published: June 2022

Abstract
This paper presents a cavity-assisted coherent feedback scheme to cool a mechanical resonator to the ground-state in a weak optomechanical coupling setup. Based on the theory of sideband cooling, resolved sideband regime is a mandatory condition for the ground-state cooling (GSC) in optomechanical systems. Assisted cooling and feedback cooling methods have been proposed and shown to be beneficial for cooling in unresolved sideband cases. In this paper, a cooling method is proposed by combining both approaches. In the proposed method, a coherent feedback loop is added to a cavity-assisted optomechanical system to enhance the cooling performance. The proposed feedback aims to reach the mechanical ground-state in the unresolved sideband regime (USR). Rate equations of the mechanical resonator are derived, and then, by applying Fermi’s golden rule and analyzing the fluctuation spectrum of the optical force, optimal conditions for cooling are obtained. Results show that applying coherent feedback, improves the cooling performance of the system significantly and it is possible to achieve GSC in USR. Moreover, it is shown that the proposed method is capable of cooling the mechanical resonator to much lower energy levels than it is achievable in cavity assisted method.
High-temperature reliability of all-oxide self-powered deep UV photodetector based on ϵ-Ga2O3/ZnO heterojunction
Authors: Zhang Maolin , Liu Zeng , Yang Lili , Yao Jiafei , Chen Jing , Zhang Jun , Wei Wei , Guo Yufeng , Tang Weihua 
Published: June 2022

Abstract
Ga2O3-based photodetectors are promising for deep ultraviolet (DUV) detection owing to the relatively large bandgap (>4.5 eV) of Ga2O3. High-temperature applications, such as flame detection and aerospace have been a major challenge to the reliability of electronic devices including photodetectors. All-oxide electronic devices have great potential for applications that require high thermal stability. Therefore, we constructed an all-oxide self-powered DUV photodetector based on ϵ-Ga2O3/ZnO heterojunction and examined its ruggedness in a high-temperature environment up to 600 K. A photocurrent of up to 0.3 μA and a photo-to-dark current ratio of ∼8000 were observed at room temperature. In addition, the ϵ-Ga2O3/ZnO heterojunction remained functional even at an ambient temperature of 600 K. It was also found that sensing performance including photo-to-dark current ratio (PDCR), responsivity, detectivity, and external quantum efficiency degraded as the temperature increased. Detailed generation/recombination processes, as well as carrier transport, were explored to reveal physical insights. The thermal stability of the ϵ-Ga2O3/ZnO photodetector is thus examined, which would provide the basis for further development.
Anomalous valley Hall effect and Nernst effect in strain engineered graphene
Authors: Niu Zhi Ping , Pei Wen Xin 
Published: June 2022

Abstract
Anomalous valley Hall effect (AVHE), which forwards a strategy for combining valleytronics and spintronics, has recently attracted much interest. Usually, this effect is associated with the anomalous velocity acquired by the carriers due to the Berry curvature of the Bloch bands. Here we propose a new strategy to generate AVHE in a graphene-based normal/strained/normal junction, where AVHE originates from the spin-valley tunneling asymmetry for the transmission through the junction. When the system is driven by a temperature bias, an anomalous valley Nernst effect is demonstrated, in which the transverse current is completely spin- and valley-polarized simultaneously. In particular, the thermally induced longitudinal charge current can become zero with the finite transverse one, causing the ratio between them to be infinite, which is usually small for the Hall effect. It is expected that our findings could provide potential applications in valleytronics and spintronics.
The effectively optical emission modulation in perovskite MAPbBr3 crystal by hot-electron transfer from metals
Authors: Pan Yong , Wang Li , Su Xueqiong , Gao Dongwen , Chen Ruixiang , Zhang Yan , Zhao Yuxin , Li Long , Gao Dangli 
Published: June 2022

Abstract
Optical emission modulation is an effective way to improve material properties and to enlarge their applications. However, a significant problem still facing challenge is low efficiency in optical emission enhancement. To contribute this, this work aims to achieve efficient hot electron transfer resulting emission enhancement used the help of plasmon resonance near-field enhancement and combined with excitation energy. Thus, a simply method of metal-perovskite heterojunctions preparation was conducted. The optical crystal of Au nanoparticles/nanocages attached on perovskite MAPbBr3 (NP-C) is presented. The hot electron transfer signal in ion’s vibration is characterized by XRD and Raman spectrum firstly. The cube shape and size distribution mostly in 550–850 nm morphology is revealed by SEM. The carrier concentration is improved about 37.5%, the mobility and resistivity are lowered around 53.2% and 26.7% after soaking in solution, respectively. What’s importantly, the effective modulation of intensity and peak position are achieved at room temperature, which is caused by the behavior of hot-electrons transfer suggested by FDTD simulation. The evidence for hot-electron transfer at the interface in Au–MAPbBr3 in 150 fs are proved by transient absorption spectrum. Finally, the mechanism of optical modulation, band gap structure and hot electrons transfer are depicted. This paper can provide experimental reference for emission enhancement and the development of devices based on hot electrons transfer.
Mental health and psychosocial consequences linked to radiation emergencies—increasingly recognised concerns
Authors: Lagergren Lindberg Marita , Hedman Christel , Lindberg Karin , Valentin Jack , Stenke Leif 
Published: June 2022

Abstract
A major radiological or nuclear emergency may, apart from causing a substantial loss of life and physical damage, also put a substantial strain on affected societies with social, economic and political consequences. Although such emergencies are relatively uncommon, it is now being increasingly recognised that their subsequent psychosocial impact can be widespread and long lasting. Mental health effects, such as depression, anxiety and post-traumatic stress disorder, are highly represented in a population affected by a radiation disaster. In order to reach the majority of the people affected by radiation accidents, we need to be aware of how to distribute relevant and accurate information related to both short- and long-term medical effects. Effective risk communication is associated with improved compliance with any given recommendations. It is important to protect the public from physical radiation damage, but it is also essential to take into account the social and mental health effects that radiation disasters may induce. This article provides a brief review of recent reporting on the psychological consequences after a major radiation emergency.
Rotating machinery fault diagnosis based on transfer learning and an improved convolutional neural network
Authors: Jiang Li , Zheng Chunpu , Li Yibing 
Published: June 2022

Abstract
Deep-learning-based methods have been widely used for rotating machinery fault diagnosis. However, they exhibit poor performance due to the severe data distribution difference under variable working conditions. Therefore, we first develop an improved convolutional neural network consisting of a multi-scale convolutional layer (MSC), a channel attention layer (CA), and an inception network structure (INS). Compared with other models, our model has strong feature extraction ability, fewer parameters and less training costs. Subsequently, based on transfer learning (TL), we propose the MSC-CA-INS-TL method. To improve the model’s generalization ability, we propose an appropriate fine-tuning strategy to coordinate with the model and pay attention to the accuracy of both source and target domains during migration. Bearing datasets and gear experimental platforms are used to verify the proposed method, and high fault diagnosis accuracy and stability are achieved under variable working conditions and small samples.
An anti-scratch flexible SERS substrate for pesticide residue detection on the surface of fruits and vegetables
Authors: Gong Tianxun , Li Haonan , Wang Guilin , Guan Fang , Huang Wen , Zhang Xiaosheng 
Published: June 2022

Abstract
We propose an anti-scratch flexible surface-enhanced Raman scattering substrate with arrayed nanocavity microstructures fabricated by colloidal lithography. The nanocavity microstructure of the substrate can well protect the inner gold nanoparticles during wipe sampling. The prepared flexible substrate was able to detect 4-aminothiophenol (4-ATP) with a concentration down to 1 fM. Furthermore, the substrate was used to detect 6-BA residues on the surface of apples and bean sprouts through wipe sampling, which shows great potential in the field of rapid on-site detection, especially in the detection of pesticide residues on the surface of fruits and vegetables.
Dynamics of nanoscale triangular features on Ge surfaces
Authors: Hans Sukriti , Parida Basanta Kumar , Pachchigar Vivek , Augustine Sebin , KP Sooraj , Ranjan Mukesh 
Published: June 2022

Abstract
Ion beam sputtering, known as potential technique for producing nanoripple on various surfaces having wide range of applications. Along with nanoripple, triangular features are also superimposed, limiting their use for some potential applications. Here we are reporting evolution of triangular features on Ge (100) surfaces under low energy (300–1000 eV) Xe ion irradiation at room temperature for angles of incidence (61°–80°) and ion fluences of (5.34 × 1017−8.01 × 1018 ions cm−2). Triangular features appear with the onset of ripple formation and disappear when the ripple periodicity is lost. These features formation depend not only on material but also depend on the ratio of the ion/target mass. In comparison with numerical simulations based on modified anisotropic Kuramoto-Sivanshinsky equation, we find good agreement for the evolution of base angle and lateral length for the triangular features with ion incidence angle. The dynamics of triangular feature with ion incidence angle and ion fluence have been reported. Ion-incidence angle dependency is adequately replicated in numerical simulations. Experimentally the base angle and lateral length increases with increase in ion incidence angle, similar trend is observed in numerical simulation.
An Ab-initio study of the Y decorated 2D holey graphyne for hydrogen storage application
Authors: Singh Mukesh , Shukla Alok , Chakraborty Brahmananda 
Published: June 2022

Abstract
Expanding pollution and rapid consumption of natural reservoirs (gas, oil, and coal) led humankind to explore alternative energy fuels like hydrogen fuel. Solid-state hydrogen storage is most desirable because of its usefulness in the onboard vehicle. In this work, we explored the yttrium decorated ultra porous, two-dimensional holey-graphyne for hydrogen storage. Using the first principles density functional theory simulations, we predict that yttrium doped holey graphyne can adsorb up to seven hydrogen molecules per yttrium atom resulting in a gravimetric hydrogen weight percentage of 9.34, higher than the target of 6.5 wt% set by the US Department of Energy. The average binding energy per H2 and desorption temperature come out to be −0.34 eV and ∼438 K, respectively. Yttrium atom is bonded strongly on HGY sheet due to charge transfer from Y 4d orbital to C 2p orbital whereas the adsorption of H2 molecule on Y is due to Kubas-type of interactions involving charge donation from H 1s orbital to Y 3d orbital and back donation with net charge gain by H 1s orbital. Furthermore, sufficient energy barriers for the metal atom diffusion have been found to prevent the clustering of transition metal (yttrium) on HGY sheet. The stability of the system at higher temperatures is analyzed using Ab-initio molecular dynamics (AIMD) method, and the system is found to be stable at room and the highest desorption temperature. Stability of the system at higher temperatures, presence of adequate diffusion energy barrier to prevent metal–metal clustering, high gravimetric wt% of H2 uptake with suitable binding energy, and desorption temperature signifies that Y doped HGY is a promising material to fabricate high capacity hydrogen storage devices.
Effects of etching process and annealing temperature on the ferroelectric properties of atomic layer deposited Al-doped HfO2 thin film
Authors: Ku Boncheol , Ma Yue , Han Hoonhee , Xuan Wang , Choi Changhwan 
Published: June 2022

Abstract
An investigation was conducted with regard to the effect of etching process on the ferroelectric (FE) characteristics of different device structures with Al-doped HfO2 thin films; further, the effect of the rapid thermal annealing temperature on the FE properties was elucidated using metal-ferroelectric-metal (MFM) capacitors using TiN electrodes with varying thickness and 4 at.% Al-doped HfO2 FE layer. The capacitors were annealed at different temperatures after lithography and etching process; this was aimed at incorporating the FE-orthorhombic phase. The samples annealed after patterning were able to obtain improved FE characteristics due to the amount of tensile stress. The MFM devices that were initially patterned were also studied as a reference. We found that even though it required higher temperature and shorter time to introduce the FE phase, it exhibited more stable as well as promising FE properties and electrical performances with a relatively large remnant polarization (2P
r ∼ 60 μC cm−2), a coercive electric field of approximately 2 MV cm−1 and high switching current density with less leakage. Our results indicate how the FE properties of the HfO2-based thin films can be engineered through suitable process sequence and post-annealing conditions, thereby verifying the applicable flexibility of FE-HfO2 for semiconductor device integration.
Ultrathin tin sulfide field-effect transistors with subthreshold slope below 60 mV/decade
Authors: Dragoman Mircea , Dinescu Adrian , Avram Andrei , Dragoman Daniela , Vulpe Silviu , Aldrigo Martino , Braniste Tudor , Suman Victor , Rusu Emil , Tiginyanu Ion 
Published: June 2022

Abstract
In this paper, we present for the first time a field-effect-transistor (FET) having a 10 nm thick tin sulfide (SnS) channel fabricated at the wafer scale with high reproducibility. SnS-based FETs are in on-state for increasing positive back-gate voltages up to 6 V, whereas the off-state is attained for negative back-gate voltages not exceeding −6 V, the on/off ratio being in the range 102–103 depending on FET dimensions. The SnS FETs show a subthreshold slope (SS) below 60 mV/decade thanks to the in-plane ferroelectricity of SnS and attaining a minimum value SS = 21 mV/decade. Moreover, the low SS values can be explained by the existence of a negative value of the capacitance of the SnS thin film up to 10 GHz (for any DC bias voltage between 1 and 5 V), with the minimum value being −12.87 pF at 0.1 GHz.
Material decomposition from photon-counting CT using a convolutional neural network and energy-integrating CT training labels
Authors: Nadkarni Rohan , Allphin Alex , Clark Darin P , Badea Cristian T 
Published: June 2022

Abstract

Objective. Photon-counting CT (PCCT) has better dose efficiency and spectral resolution than energy-integrating CT, which is advantageous for material decomposition. Unfortunately, the accuracy of PCCT-based material decomposition is limited due to spectral distortions in the photon-counting detector (PCD). Approach. In this work, we demonstrate a deep learning (DL) approach that compensates for spectral distortions in the PCD and improves accuracy in material decomposition by using decomposition maps provided by high-dose multi-energy-integrating detector (EID) data as training labels. We use a 3D U-net architecture and compare networks with PCD filtered back projection (FBP) reconstruction (FBP2Decomp), PCD iterative reconstruction (Iter2Decomp), and PCD decomposition (Decomp2Decomp) as the input. Main results. We found that our Iter2Decomp approach performs best, but DL outperforms matrix inversion decomposition regardless of the input. Compared to PCD matrix inversion decomposition, Iter2Decomp gives 27.50% lower root mean squared error (RMSE) in the iodine (I) map and 59.87% lower RMSE in the photoelectric effect (PE) map. In addition, it increases the structural similarity (SSIM) by 1.92%, 6.05%, and 9.33% in the I, Compton scattering (CS), and PE maps, respectively. When taking measurements from iodine and calcium vials, Iter2Decomp provides excellent agreement with multi-EID decomposition. One limitation is some blurring caused by our DL approach, with a decrease from 1.98 line pairs/mm at 50% modulation transfer function (MTF) with PCD matrix inversion decomposition to 1.75 line pairs/mm at 50% MTF when using Iter2Decomp. Significance. Overall, this work demonstrates that our DL approach with high-dose multi-EID derived decomposition labels is effective at generating more accurate material maps from PCD data. More accurate preclinical spectral PCCT imaging such as this could serve for developing nanoparticles that show promise in the field of theranostics (therapy and diagnostics).
Ferroelectric-gate tunnel field-effect transistor one-transistor ternary contents addressable memory
Authors: Kwak Been , Kim Hyunwoo , Kwon Daewoong 
Published: June 2022

Abstract
In the era of ‘big data’, the von Neumann architecture has significant energy consumption and latency penalties for data transfer between memory and processor. However, ternary content addressable memories (TCAMs) enable fast and energy-efficient operation by performing a parallel search for given data and returning information about whether it matches. In this study, a single transistor (1T) ferroelectric-gate tunnel FET (FeTFET) was introduced for TCAM operations, and its functionality was verified through technology computer-aided design (TCAD) simulations. The FeTFET has intrinsic directional currents due to its unique p–i–n structure. Also, the transfer curve of the FeTFET can be shifted in both directions depending on the polarization state of the ferroelectric material. By combining these properties of the FeTFET, it was confirmed that stable search operations can be performed for stored logic states. Thus, compared to conventional TCAM cell that use two or more transistors, it is expected that the proposed 1T-TCAM cell can store and search more bits in the same area.
Directed transport of a deformable particle in confined periodic structures
Authors: Li Jia-Jian , Lin Fu-Jun , Ai Bao-Quan 
Published: June 2022

Abstract
Directed transport of a deformable particle is numerically investigated in a two-dimensional periodic channel. Unlike the rigid particle, the deformable particle can pass through the channel bottleneck that is significantly smaller than the particle size. The deformable characteristics of the particle can greatly affect the directed transport of the particle. (i) For the case of active deformable particle, the self-propelled velocity can break thermodynamics equilibrium and induce the directed transport. The average velocity is a peak (or valley) function of the particle size for large (or small) self-propulsion speed. Particle softening (large shape parameter) facilitates the rectification of the particle for small particle, while it blocks the rectification for large particle. (ii) For the case of passive deformable particle, periodic oscillation of the particle size can also break thermodynamical equilibrium. There exists an optimal oscillating frequency at which the average velocity takes its maximal value. For low oscillating frequency, the average velocity is a peak function of the oscillating amplitude, while for high oscillating frequency the average velocity increases monotonically with the oscillating amplitude. Our results may contribute to the understanding of the transport behaviors of soft, deformable matter in confined structures.
Localization and slow-thermalization in a cluster spin model
Authors: Kuno Yoshihito , Orito Takahiro , Ichinose Ikuo 
Published: June 2022

Abstract
Novel cluster spin model with interactions and disorder is introduced and studied. In specific type of interactions, we find an extensive number of local integrals of motions (LIOMs), which are a modified version of the stabilizers in quantum information, i.e., mutually commuting operators specifying all quantum states in the system. These LIOMs can be defined for any strength of the interactions and disorder, and are of compact-support instead of exponentially-decaying tail. Hence, even under the presence of interactions, integrability is held, and all energy eigenstates are labeled by these LIOMs and can be explicitly obtained. Integrable dynamics is, then, expected to occur. The compact-support nature of the LIOMs crucially prevents the thermalization and entanglement spreading. We numerically investigate dynamics of the system governed by the existence of the compact-support LIOMs, and clarify the effects of additional interactions, which break the compact-support nature of the LIOMs. There, we find that the ordinary many-body localization behaviors emerge, such as the logarithmic growth of the entanglement entropy in the time evolution. Besides the ergodicity breaking dynamic, we find that symmetry protected topological order preserves for specific states even in the presence of the interactions.
Beta-decay half-lives of the isotopes close to the neutron drip line and astrophysical implications
Authors: Quyen N T T , Chae K Y , Uyen N K , Duy N N 
Published: June 2022

Abstract
In this paper, we examined the β
−-decay half-lives of 94 extremely neutron-rich isotopes with Z = 26 − 57 close to the neutron drip line, which are important for the r-process calculations. The half-lives were calculated using four semi-empirical models and compared to those based on the FRDM+QRPA approach and available measured data. The impact of the difference in the models on the half-life predictions was investigated. We found that theoretical calculations for the β-decay half-life have a large deviation, up to 60%, which is mostly similar to that in measurements. The half-lives of the investigated nuclei are ranging from a few to hundreds of milliseconds. The r-process abundances in various astrophysical scenarios were calculated by using the predicted half-lives. The half-life uncertainty due to different models results in a large deviation in the isotopic abundance, specially for the isotopes in the mass range of A > 210. The shell closures in 76Fe is still a doubt due to the discrepancy in the trends of the half-life and paring gap while a closed-shell at N = 82 in 127Rh is possible. The results of this study also notice that it is a challenge for measuring precisely the masses of 106Rb, 116,117Nb, 122Tc, and 128Rh because of their short half-lives.