bluuebunny/crossref_metadata_2025_split huggingface dataset:
Directed pulsed neutron source generation from inverse kinematic reactions driven by intense lasers
Authors: Yao Yilin , Wu Zhenbo , Ye Tao , Zhu Shaoping , He Xiantu , Qiao Bin 
Published: October 2024

Neutron production driven by intense lasers utilizing inverse kinematic reactions is explored self-consistently by a combination of particle-in-cell simulations for laser-driven ion acceleration and Monte Carlo nuclear reaction simulations for neutron production. It is proposed that laser-driven light-sail acceleration from ultrathin lithium foils can provide an energetic lithium-ion beam as the projectile bombarding a light hydrocarbon target with sufficiently high flux for the inverse p(Li7,n) reaction to be efficiently achieved. Three-dimensional self-consistent simulations show that a forward-directed pulsed neutron source with ultrashort pulse duration 3 ns, small divergence angle 26°, and extremely high peak flux 3 × 1014n/(cm2⋅s) can be produced by petawatt lasers at intensities of 1021 W/cm2. These results indicate that a laser-driven neutron source based on inverse kinematics has promise as a novel compact pulsed neutron generator for practical applications, since the it can operate in a safe and repetitive way with almost no undesirable radiation.
Lagrangian particle tracking at large Reynolds numbers
Authors: Küchler Christian , Ibanez Landeta Antonio , Moláček Jan , Bodenschatz Eberhard 
Published: October 2024

In the study of fluid turbulence, the Lagrangian frame of reference represents the most appropriate methodology for investigating transport and mixing. This necessitates the tracking of particles advected by the flow over space and time at high resolution. In the past, the purely spatial counterpart, the Eulerian frame of reference, has been the subject of extensive investigation utilizing hot wire anemometry that employs Taylor’s frozen flow hypotheses. Measurements were reported for Taylor scale Reynolds number Rλ &gt; 104 in atmospheric flows, which represent the highest strength of turbulence observed on Earth. The inherent difficulties in accurately tracking particles in turbulent flows have thus far constrained Lagrangian measurements to Taylor scale Reynolds numbers up to approximately Rλ = 103. This study presents the Lagrangian particle tracking setup in the Max Planck Variable Density Turbulence Tunnel (VDTT), where Taylor scale Reynolds numbers between 100 and 6000 can be reached. It provides a comprehensive account of the imaging setup within the pressurized facility, the laser illumination, the particles used, and the particle seeding mechanism employed, as well as a detailed description of the experimental procedure. The suitability of KOBO Cellulobeads D-10 particles as tracers within the VDTT is illustrated. The results demonstrate that there is no significant charge exhibited by the particles and that the impact of their inertia on the results is negligible across a wide range of experimental conditions. Typical data are presented, and the challenges and constraints of the experimental approach are discussed in detail.
Achieving smooth motion in displacement amplification piezoelectric stick–slip actuator
Authors: Ji Hua-wei , Lin Li-ming , Liu Yu , Chen Zhe-hao , Wu Xin , Ni Jing 
Published: October 2024

Traditional piezoelectric stick–slip actuators often suffer from significant backward motion phenomena, which greatly impact their output performance. To overcome this issue, a novel displacement amplification piezoelectric stick–slip actuator was meticulously designed. It integrates an L-shaped displacement amplification mechanism with a parallelogram-compliant mechanism. By dynamically adjusting the compressive force between the stator and the mover, this actuator effectively increases the single-step displacement, resulting in smooth and stable motion output. The design process involved thorough structural feasibility validation and core dimension optimization, utilizing Castigliano’s second theorem and finite element simulation analysis. These efforts successfully yielded a substantial increase in the single-step output displacement. Experimental results demonstrate the actuator’s capability to achieve smooth and stable motion output, even under challenging conditions, such as symmetric excitation signals and horizontal loading. Under specific operating parameters—preloading force of 3 N, input voltage of 100 VP–P, and driving frequency of 625 Hz sinusoidal excitation signal, the actuator achieves an impressive maximum driving speed of 25.22 mm/s, with a substantial maximum load capacity of 2.1 N. Compared to previous studies, the designed actuator exhibits superior adaptability to various excitation signals, offering significant potential for enhancing the performance and expanding the applications of piezoelectric stick–slip actuators.
Inducing alternating magnetic fields for real-time non-contact fault localization within electric energy storage component arrays
Authors: Peng Tonghui , Gao Wei , Wu Ya , Ma Yulong , Zhang Shiwu , Hu Yinan 
Published: October 2024

With the wide application of electric energy storage component arrays, such as battery cell arrays, capacitor arrays, and inductor arrays, their potential safety risks have gradually drawn the public attention. However, existing technologies cannot realize rapid, precise, and nondestructive localization of the faulty component within these large-scale arrays, especially for a component with an early stage short-circuit fault. To address this challenge, this paper proposes a magnetic field based method and realizes precise fault localization by inducing an alternating magnetic field from the target array, unlike previous research where a static magnetic field was induced. Through establishing a physical model of the short-circuit component as well as the whole array, a spatial filtering algorithm based on beamforming techniques is utilized to process the measured magnetic field data in real time. Both the simulation and experimental results demonstrate the capability of the proposed method in enhancing the security of electric energy storage component arrays. Within an imaging area of 80 × 80 mm2, the proposed method can accurately locate the faulty component out of a nine-component array, with an error of only 0.72 mm for capacitors and 0.91 mm for battery cells.
Machine learning force field for thermal oxidation of silicon
Authors: Cvitkovich Lukas , Fehringer Franz , Wilhelmer Christoph , Milardovich Diego , Waldhör Dominic , Grasser Tibor 
Published: October 2024

Looking back at seven decades of highly extensive application in the semiconductor industry, silicon and its native oxide SiO2 are still at the heart of several technological developments. Recently, the fabrication of ultra-thin oxide layers has become essential for keeping up with trends in the down-scaling of nanoelectronic devices and for the realization of novel device technologies. With this comes a need for better understanding of the atomic configuration at the Si/SiO2 interface. Classical force fields offer flexible application and relatively low computational costs, however, suffer from limited accuracy. Ab initio methods give much better results but are extremely costly. Machine learning force fields (MLFF) offer the possibility to combine the benefits of both worlds. We train a MLFF for the simulation of the dry thermal oxidation process of a Si substrate. The training data are generated by density functional theory calculations. The obtained structures are in line with ab initio simulations and with experimental observations. Compared to a classical force field, the most recent reactive force field, the resulting configurations are vastly improved. Our potential is publicly available in an open-access repository.
High-resolution anionic velocity map imaging apparatus for dissociative electron attachment dynamics study
Authors: Xie Jingchen , Gao Xiao-Fei , Fan Mengyuan , Li Hao , Wu Bin , Tian Shan Xi 
Published: October 2024

Dissociative electron attachment (DEA) of a molecular target XY, e− + XY → XY− → X + Y−, is an important process in plasma, atmosphere, interstellar space, and ionizing radiation. DEA dynamics, i.e., the formation and fragmentation of an electron–molecule resonant complex, can be unveiled by measuring the product Y− with the velocity map imaging (VMI) technique. However, it is still challenging to achieve a high-resolution VMI measurement. Recently, we developed a high-resolution DEA apparatus that combined the VMI technique with a trochoidal electron monochromator. The energy spread (around 500 meV) of thermally emitted incident electrons can be reduced remarkably, but the monochromatized electrons become diffuse again in energy when being pulsed with an electric pulse applied on the grid electrode because the electron beam must be pulsed in the VMI measurement. Now this long-standing technical contradiction is settled by introducing a parallel resistance-capacitor circuit to the electrode of an electron gun. A delay-line detector is used for the VMI measurement, which allows the three-dimensional velocity or momentum images of multiple anionic yields to be recorded efficiently. Our high-resolution VMI apparatus works at a pulse frequency of 5 kHz and an energy spread of about 120–150 meV, and its credible performances are exhibited by the measurements of the DEA processes of CO(a3Π) and NO2.
A cognitive modelling of translation
Authors: Tao Mei 
Published: October 2024

Abstract
This paper attempts to usher in a cognitive linguistic theory
into (cognitive) translation studies and offers a theoretical model of
translation from the construal perspective. In this construal-based theory,
translators are modelled as construers which are featured by subjectivity, and
meaning decoding and encoding in translation are equated with construal which is
manifested at two levels. At the cognitive level, translators construe the
source text whereas at the linguistic level the construal established by the
translators is packaged in the target language. Translation process involves
translators’ construal operations such as perspective, selection, prominence and
dynamicity, and imagination. Since construal is situated in context, it is
impossible to recreate the construals of the source text author but optimal
construal can be envisioned if the situated contexts for the source text
author(s) as well as that for the target text are best accommodated.
What can the taxonomy of predicative possession in Malwai Punjabi tell us?
Authors: Lu Xiaolong 
Published: October 2024

Abstract
The study aims to examine the syntactic and semantic behaviors of predicative possession (i.e., have-possessive
constructions) in Malwai Punjabi, an underdocumented dialect within the Indo-Aryan language family. Data were collected from
longitudinal online interviews with native speakers as consultants, with audio recordings for transcribed target sentences. The
results revealed that all the alienable possession, either permanent/temporary or abstract/concrete, could be marked by the
postposition koḷ ‘near/with’, whereas inalienable possession, such as whole-part relation and kinship, could not
be encoded using koḷ. The prototypicality model and schema-based metaphors explained why koḷ was
widely used to express alienable possession in Malwai Punjabi. The analysis of companion and proximity schemata
also justified the extended semantics of predicative possession, suggesting a metaphorical mapping of accompaniment and location
onto possession. From a typological angle, the case study can not only provide further evidence for the existence of split
possession but also contribute to a cognitive understanding of predicative possession in relation to other languages.
Syntax, stress and cognitive load, or on syntactic processing in simultaneous interpreting
Authors: Chmiel Agnieszka , Kajzer-Wietrzny Marta , Koržinek Danijel , Jakubowski Dariusz , Janikowski Przemysław 
Published: October 2024

Abstract
This corpus-based study examines the effect of syntactic complexity in the source language on simultaneous interpreters’ cognitive load and stress. Previous studies show contrasting results regarding the source text syntax and cognitive load in interpreting, while the link between syntactic complexity and interpreters’ stress remains unexplored. Our research aims to fill this gap by measuring cognitive load through filled and silent pauses, and stress through fundamental frequency. We evaluated syntactic complexity by calculating dependency distance, i.e., the number of words between syntactically dependent elements. We used PINC, the Polish Interpreting Corpus (Chmiel et al. 2022), as our dataset. We found that higher syntactic complexity in the source text increases stress and cognitive load among interpreters. Additionally, when interpreters produce complex syntax themselves, their stress increases. The study provides empirical evidence for simplification in interpreting and shows that syntactic complexity in interpreters’ own output does not necessarily lead to increased cognitive load.
Manipulation of High-Fidelity Sidebands under Large Detuning by Floquet Technology: Application to Multi-Mode Cooling
Authors: Yang 杨 Xue-Ying 雪滢 , Lin 林 Zi-Dong 子栋 , Mu 穆 Shu-Ying 姝颖 , Wu 吴 Wei 伟 , Wu 吴 Chun-Wang 春旺 , Xie 谢 Yi 艺 , Chen 陈 Ping-Xing 平形 
Published: October 2024

Abstract
The Floquet technology, a powerful way to manipulate quantum states, is employed to drive sidebands transition under large detuning. Our results demonstrate that high fidelities over 99% can be achieved through optimizing suitable modulation frequencies under large detuning. We observe high-fidelity transitions within a high bandwidth by utilizing a single modulation frequency and reveal that this capability is due to the emergence of a flat-band structure in the bandwidth range. The key finding of high-fidelity sideband manipulation under large detuning is experimentally confirmed in nuclear magnetic resonance platform. Finally, we propose a new parallel sideband cooling scheme that enables simultaneous cooling of multiple motional modes. This approach improves the cooling rate compared to conventional schemes with fixed laser frequency and power, and eliminates the need for mode-specific addressing. Our Floquet parallel scheme is applicable to any harmonic oscillator system and is not limited by bandwidth in theory.
Sr-Doping-Modulated Metal-Insulator Transition in NdNiO3 Epitaxial Films
Authors: Ye 叶 Huan 欢 , Hua 华 Enda 恩达 , Xu 许 Fang 方 , Lu 鲁 Jingdi 京迪 , Jin 金 Feng 锋 , Wu 吴 Wenbin 文彬 , Si 司 Liang 良 , Wang 王 Lingfei 凌飞 
Published: October 2024

Abstract
Perovskite-structured nickelates, ReNiO3 (Re = rare earth), have long garnered significant research interest due to their sharp and highly tunable metal-insulator transitions (MITs). Doping the parent compound ReNiO3 with alkaline earth metal can substantially suppress this MIT. Recently, intriguing superconductivity has been discovered in doped infinite-layer nickelates (ReNiO2), while the mechanism behind A-site doping-suppressed MIT in the parent compound ReNiO3 remains unclear. To address this problem, we grew a series of Nd1−x
Sr
x
NiO3 (NSNO, x = 0–0.2) thin films and conducted systematic electrical transport measurements. Our resistivity and Hall measurements suggest that Sr-induced excessive holes are not the primary reason for MIT suppression. Instead, first-principles calculations indicate that Sr cations, with larger ionic radius, suppress breathing mode distortions and promote charge transfer between oxygen and Ni cations. This process weakens Ni–O bond disproportionation and Ni2+/Ni4+ charge disproportionation. Such significant modulations in lattice and electronic structures convert the ground state from a charge-disproportionated antiferromagnetic insulator to a paramagnetic metal, thereby suppressing the MIT. This scenario is further supported by the weakened MIT observed in the tensile-strained NSNO/SrTiO3(001) films. Our work reveals the A-side doping-modulated electrical transport of perovskite nickelate films, providing deeper insights into novel electric phases in these strongly correlated nickelate systems.
Spin Dynamics and Phonons in Chromites CoCr2O4 and MnCr2O4
Authors: Xu 徐 Wei 威 , Lin 林 Gaoting 高庭 , Shu 舒 Mingfang 明方 , Jiao 焦 Jinlong 金龙 , Zhu 朱 Jinfeng 金峰 , Ren 任 Qingyong 清勇 , Le Manh Duc , Luo 罗 Xuan 轩 , Sun 孙 Yuping 玉平 , Liu 刘 Yi 毅 , Qu 屈 Zhe 哲 , Zhou 周 Haidong 海东 , Gao 高 Shang 尚 , Ma 马 Jie 杰 
Published: October 2024

Abstract
Spinel compounds are of great interest in both fundamental and application-oriented perspectives due to the geometric magnetic frustration inherent to their lattice and the resulting complex magnetic states. Here, we applied x-ray diffraction, magnetization, heat capacity and powder inelastic neutron scattering measurements, along with theoretical calculations, to study the exotic properties of chromite-spinel oxides CoCr2O4 and MnCr2O4. The temperature dependence of the phonon spectra provides an insight into the correlation between oxygen motion and the magnetic order, as well as the magnetoelectric effect in the ground state of MnCr2O4. Moreover, spin-wave excitations in CoCr2O4 and MnCr2O4 are compared with Heisenberg model calculations. This approach enables the precise determination of exchange energies and offers a comprehensive understanding of the spin dynamics and relevant exchange interactions in complicated spiral spin ordering.
Multi-layer feature fusion and attention enhancement for fine-grained vehicle recognition research
Authors: Zhang Shouyang , Zhang Yong 
Published: October 2024

Abstract
Vehicle recognition technology is widely applied in automatic parking, traffic restrictions, and public security investigations, playing a significant role in the construction of intelligent transportation systems. Fine-grained vehicle recognition seeks to surpass conventional vehicle recognition by concentrating on more detailed sub-classifications. This task is more challenging due to the subtle inter-class differences and significant intra-class variations. Localization-classification subnetworks represent an efficacious approach frequently employed for this task, but previous research has typically relied on CNN deep feature maps for object localization, which suffer from the low resolution, leading to poor localization accuracy. The multi-layer feature fusion localization method proposed by us fuses the high-resolution feature map of the shallow layer of CNN with the deep feature map, and makes full use of the rich spatial information of the shallow feature map to achieve more precise object localization. In addition, traditional methods acquire local attention information through the design of complex models, frequently resulting in regional redundancy or information omission. To address this, we introduce an attention module that adaptively enhances the expressiveness of global features and generates global attention features. These global attention features are then integrated with object-level features and local attention cues to achieve a more comprehensive attention enhancement. Lastly, we devise a multi-branch model and employ the aforementioned object localization and attention enhancement methods for end-to-end training to make the multiple branches collaborate seamlessly to adequately extract fine-grained features. Extensive experiments conducted on the Stanford Cars dataset and the self-built Cars-126 dataset have demonstrated the effectiveness of our method, achieving a leading position among existing methods with 97.7% classification accuracy on the Stanford Cars dataset.
Simple extraction method of magnetic hysteresis curve from measurement data
Authors: Rezki Mohamed , Bensaid Samir , Houassine Hamza 
Published: October 2024

Abstract
The main target of this study is to investigate a simple way to extract the magnetic material hysteresis curve using a new numerical integration method. The most used method for extracting the hysteresis loop involves integrating the measured voltage signal through a capacitor. This method is a hardware and analogical integration which requires precise dimensioning of the integration capacitor. Moreover, it is imprecise for the nonsinusoidal voltage signal. In this paper, one has interested to all types of voltage signals (with and without harmonics). The proposed method allows to directly integrate all signal waveforms with a good accuracy and low cost materials and times. The method is implemented in OCTAVE open source. The experimental acquisition is carried out using a testing bench to measure the transformer’s primary current and secondary voltage signals. The proposed method is first validated on the primitives of the nonsinusoidal usual signals such as triangle and square signals. Then it is applied to extract the hysteresis loop of single phase transformer. The area of hysteresis loop which gives the iron losses is compared to the measured one given by a Wattmeter for several voltages. The computed and measured iron losses are practically identical. Thus, the validation of the proposed approach is performed and the finding of this research may serve as an alternative technique to direct and fast determining the hysteresis loop with a good accuracy.
High-precision spatial measurement method of accelerator pre-alignment based on multiple total stations
Authors: Xing Yubo , Dong Lan , Wang Tong , Liang Jing , Ma Na , Ke Zhiyong , He Zhenqiang , Li Bo , Men Lingling , Lu Shang , Wang Xiaolong , Yang Zhen 
Published: October 2024

Abstract
With the development of accelerator technology, the scale of accelerators is becoming larger, ranging from hundreds of meters to several kilometers. For stable operation of accelerators, high-precision alignment, positioning, and installation are crucial. Installing all equipment inside the tunnel poses safety risks as personnel would be in a closed environment with potential radiation exposure for prolonged periods. To address the challenges of long adjustment and maintenance periods inside the tunnel due to the installation of equipment for large-scale accelerators, most accelerator devices under construction or in research have pre-alignment assemblies. Each assembly consists of a certain number of magnets distributed on girders. The magnets in one unit are pre-aligned with high precision in the laboratory and then transported to the tunnel. Aligning the entire magnet girder can significantly improve installation efficiency inside the tunnel. To meet the pre-alignment accuracy requirement of 10 μm in the horizontal and vertical directions for the magnet units in the high energy photon source (HEPS) storage ring, a system for high-precision pre-alignment of accelerator units using four total stations for angle observation has been designed in this paper. By employing different instrument layout configurations and incorporating reliable distance benchmarks, high-precision pre-alignment of the magnet are achieved. By arranging targets and utilizing recognition for automatic targeting, real-time point calculations during pre-alignment enhance efficiency. Subsequently, based on this system, pre-alignment simulation calculations and experimental verification of eight magnet focusing–defocusing units in the HEPS storage ring are conducted and ultimately realizing the 10 μm transverse and vertical pre-alignment measuring error within the units. This method, based on high-precision measurements in a small-scale space, reduces the period required for personnel on-site and improves pre-alignment efficiency. It also provides a reference for pre-alignment of multiple magnet units in large accelerators such as the Southern Advanced Photon Source and Circular Electron Positron Collider.