bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photoluminescence properties of Cu-poor Cu2Sn1−
x
Ge
x
S3 thin films with varying Ge/(Ge+Sn) ratio
Authors: Kanai Ayaka , Hata Ryoma , Sugiyama Mutsumi , Tanaka Kunihiko 
Published: April 2023

Abstract
This study investigates the photoluminescence (PL) spectra of Cu2Sn1−x
Ge
x
S3 (CTGS) thin films, which are currently the most suitable composition ratio for high-efficiency absorbers through low temperature-PL measurements to reveal the effects of the x ratio on defect properties of CTGS thin films. The PL spectrum of Cu2SnS3 (CTS) thin films with x= 0.00 exhibits five peaks at 0.782, 0.832, 0.862, 0.885, and 0.933 eV. Moreover, all PL peak positions in the CTGS thin films shift to higher energies with increasing x ratios because the defect levels in the films changed with an increase in the x ratio. Moreover, we obtain the estimated activation energy (E
a) values of the CTS thin films with x = 0.00 ranging from 6 to 20 meV. The E
a values of CTGS are similar to those of the CTGS thin films, even at x ratios of up to 0.19 in CTGS thin films. The increasing x ratio in CTGS thin films does not influence the acceptor in CTGS. Therefore, the CTGS is advantageous as an absorption layer in solar cells rather than a CTS because E
g can be large while maintaining a shallow acceptor. Hence, CTGS can be expected to be increasingly used like CuIn1−x
Ga
x
Se2 and Cu2ZnSnS4 as next-generation absorption materials.
Search for leptophilic dark matter at the LHeC
Authors: Huang Guo-yuan , Jana Sudip , de Jesus Álvaro S , Queiroz Farinaldo S , Rodejohann Werner 
Published: April 2023

Abstract
The Large Hadron electron Collider (LHeC) has been designed to push the field of deep inelastic scattering to the high energy and intensity frontier using an intense electron beam with a proton beam from the High Luminosity–Large Hadron Collider. However, LHeC is also a great laboratory for new physics. In this work, we propose a search for dark matter that couples with leptons. This may yield

ej
+

E

and

μ
j
+

E

signals that can be potentially observed through simple missing-energy cuts that suppress the Standard Model background. Considering direct dark matter detection and LHC constraints, we show that LHeC offers a complementary probe for a weak scale dark matter fermion for masses up to 350 GeV, which reproduces the correct relic density, and has interesting implications for lepton flavor violation.
Magnetoelectric tuning of spin, valley, and layer-resolved anomalous Nernst effect in transition-metal dichalcogenides bilayers
Authors: Hajati Yaser , Alipourzadeh Mohammad , Berakdar Jamal 
Published: April 2023

Abstract
The anomalous Nernst coefficient (ANC) for transition-metal dichalcogenide (TMD) bilayers is studied with a focus on the interplay between layer pseudospin, spin, and valley degrees of freedom when electric and exchange fields are present. Breaking the inversion and time reversal symmetries via respectively electric and exchange fields results for bilayer TMDs in a spin-valley-layer polarized total ANC. Conditions are determined for controlling the spin, valley, and layer-resolved contributions via electric field tuning. Our results demonstrate the control of layer degree of freedom in bilayer TMDs magnetoelectrically which is of relevance for possible applications in spin/valley caloritronics.
Spin and current transport in the robust half-metallic magnet c-CoFeGe
Authors: Chaudhary Vikrant , Singh Sapna , Gujjar Deepak , Nautiyal Tashi , Maitra Tulika , van den Brink Jeroen , Kandpal Hem C 
Published: April 2023

Abstract
Spintronics is an emerging form of electronics based on the electrons’ spin degree of freedom for which materials with robust half-metallic ferromagnet character are very attractive. Here we determine the structural stability, electronic, magnetic, and mechanical properties of the half-Heusler (hH) compound CoFeGe, in particular also in its cubic form. The first-principles calculations suggest that the electronic structure is robust with 100% spin polarization at the Fermi level under hydrostatic pressure and uni-axial strain. Both the longitudinal and Hall current polarization are calculated and the longitudinal current polarization (

P

L

) is found to be

>

99
%

and extremely robust under uniform pressure and uni-axial strain. The anomalous Hall conductivity and spin Hall conductivity of hH cubic CoFeGe (c-CoFeGe) are found to be

∼

−
100

S cm−1 and

∼

39

ℏ

/

e

S cm−1, respectively. Moreover, the Curie temperature of the alloy is calculated to be ∼524 K with a 3

μ

B

magnetic moment. Lastly, the calculated mechanical properties indicate that c-CoFeGe is ductile and mechanically stable with a bulk modulus of ≈154 GPa. Overall, this analysis reveals that cubic CoFeGe is a robust half-metallic ferromagnet and an interesting material for spintronic applications.
Bearing fault-induced feature enhancement via adaptive multi-band denoising model
Authors: Zhao Lijuan , Zhang Long , Zhang Hao , Hu Yanqing 
Published: April 2023

Abstract
To accurately extract the bearing fault-induced impulse features from the vibration signals corrupted by heavy noise and large-amplitude random impulses, an adaptive multi-band denoising model based on the Morlet wavelet filter and sparse representation is put forward. First, to locate the desired frequency band associated with fault components, the Morlet wavelet filter is employed to band-pass the signal from the perspective of the frequency-domain. Herein, an improved Protrugram-based index, termed as windowed envelope spectral kurtosis, is designed as the objective function to choose the optimal center frequency and the bandwidth of the Morlet wavelet filter. Furthermore, benefitting from the time-domain characteristics of the vibration signal, the in-band noise is eliminated by sparse representation. One of the critical parameters (resonance frequency) of the wavelet atom used in the sparse representation dictionary is directly taken as the center frequency of the Morlet wavelet filter, which makes full use of the information derived from the filter, and thus significantly improves the calculation efficiency. Finally, the recovery signal is demodulated by the Hilbert transform to extract the fault characteristic frequency. The effectiveness and superiority of the proposed method are demonstrated through a complete analysis of the simulated, experimental, and engineering signals, as well as a comparison with such prevalent methods as Kurtogram, individual sparse representation, and Morlet wavelet filter combined with the maximum correlation kurtosis deconvolution.
Self-sensing GFRP-reinforced concrete beams containing carbon nanotube-nano carbon black composite fillers
Authors: Qiu Liangsheng , Ding Siqi , Wang Danna , Han Baoguo 
Published: April 2023

Abstract
This study investigated the self-sensing behavior of nonconductive glass fiber reinforced polymer (GFRP) reinforced concrete beam incorporated with electrostatic self-assembly carbon nanotube-nano carbon black (CNT-NCB) composite fillers (CNCFs) under monotonic and cyclic flexural loadings. The CNCFs feature synergistic effect of long-range conduction for fibrous CNTs and short-range conduction for granular NCBs, as well as their good dispersibility. Self-sensing signals in the compression and tension zones of the concrete beams were synchronously recorded through embedding stainless steel gauze electrodes in these sensing zones. Experimental results showed that incorporating CNCFs can achieve low and stable electrical resistivity (ranging from 33 to 76 Ω‧cm) for the concrete beams. Under monotonic flexural loading, the largest resistivity variation was observed in the case of concrete beam with 1.8 vol.% CNCFs, and the magnitude of fractional changes in resistivity (FCR) reached nearly 286%. Moreover, FCR in tension zone was more pronounced than that in compression zone. Under cyclic flexural loading, high self-sensing repeatability and stability of FCR variation with strain were obtained for all the concrete beams, and concrete beam with 2.0 vol.% CNCFs demonstrated the optimum self-sensing capability for its highest strain sensitivity of 322.7. Consequently, by measuring FCR of concrete beams with CNCFs and replacing metallic steel reinforcement with nonconductive GFRP bars which have the benefits of avoiding short circuit or electric field disturbance inside self-sensing concrete, in-situ monitoring the strain and damage accumulation of concrete components can be achieved.
An incremental LiDAR/POS online calibration method
Authors: Fan Xiaoyun , Tang Jian , Wen Jingren , Xu Xintong , Liu Hui 
Published: April 2023

Abstract
Extrinsic Calibration between LiDAR and POS (position and orientation system) is a fundamental prerequisite for varieties of MLS (mobile laser scanner) applications. Due to the sparse structure of LiDAR data, the current calibration methods relying on common point feature matching are unreliable, and the low accuracy POS results make the extrinsic calibration of MLS system more challenging. In this paper, we propose an incremental estimation method of six degree of freedom extrinsic transformation of LiDAR and POS. Firstly, the POS-SLAM is used to accumulate LiDAR scans as online sub maps. Attitudes of the carrier are calculated by using GNSS/INS loose combination method of bidirectional adjustment, and scans are associated with sub map based on the time interpolation. Then, the extrinsic calibration parameters are estimated by optimizing corresponding points difference between SLAM and MLS coordinate frame. Finally, field tests have been conducted to the proposed method. RMS between the map by the calibrated MLS and by the static measurement is 0.57 cm. The results demonstrate that the accuracy and robustness of our calibration approach are sufficient for mapping requirement of MLS.
Parallel simulation via SPPARKS of on-lattice kinetic and Metropolis Monte Carlo models for materials processing
Authors: Mitchell John A , Abdeljawad Fadi , Battaile Corbett , Garcia-Cardona Cristina , Holm Elizabeth A , Homer Eric R , Madison Jon , Rodgers Theron M , Thompson Aidan P , Tikare Veena , Webb Ed , Plimpton Steven J 
Published: April 2023

Abstract
SPPARKS is an open-source parallel simulation code for developing and running various kinds of on-lattice Monte Carlo models at the atomic or meso scales. It can be used to study the properties of solid-state materials as well as model their dynamic evolution during processing. The modular nature of the code allows new models and diagnostic computations to be added without modification to its core functionality, including its parallel algorithms. A variety of models for microstructural evolution (grain growth), solid-state diffusion, thin film deposition, and additive manufacturing (AM) processes are included in the code. SPPARKS can also be used to implement grid-based algorithms such as phase field or cellular automata models, to run either in tandem with a Monte Carlo method or independently. For very large systems such as AM applications, the Stitch I/O library is included, which enables only a small portion of a huge system to be resident in memory. In this paper we describe SPPARKS and its parallel algorithms and performance, explain how new Monte Carlo models can be added, and highlight a variety of applications which have been developed within the code.
Multifunctional ZnO nanostructures: a next generation nanomedicine for cancer therapy, targeted drug delivery, bioimaging, and tissue regeneration
Authors: Gupta Jagriti , Hassan P A , Barick K C 
Published: April 2023

Abstract
Zinc oxide nanostructures (ZnO NSs) are one of the most versatile and promising metal oxides having significant importance in biomedical fields, especially for therapeutic and diagnostic purposes. ZnO possesses unique physio-chemical and biological properties such as photo-chemical stability, corrosion resistance, mechanical properties, biocompatibility, higher targeting capability, and ROS-triggered cytotoxicity. These ZnO NSs have enhanced potential for various biomedical applications such as cancer therapy, drug delivery, bioimaging, tissue engineering, etc. Furthermore, ZnO possesses excellent luminescent properties that make it useful for bioimaging and image-guided targeted drug delivery, thereby reducing the unwanted side effects of chemotherapeutic agents. Besides, these characteristics, enhanced permeability and retention effect, electrostatic interaction, ROS production, and pH-dependent dissolution of ZnO also make it potential aspirant as therapeutic that are suggested as key parameters for cytotoxic and cell death mechanisms via apoptosis, autophagy, and mitophagy mechanisms. Here, the recent progress and advances of ZnO NSs in bioimaging, drug delivery, and tissue engineering are discussed along with the advantages, limitations, and future advancement for biological applications.
Thermo-desorption measurements during N-doped Ge-rich Ge2Sb2Te5 crystallization
Authors: Remondina J , Portavoce A , Bertoglio M , Roland G , Petroni E , Benoit D , Le Friec Y , Lorut F , Putero M 
Published: April 2023

Abstract
Ge-rich Ge2Sb2Te5 (GGST) is considered as one of the best candidates for industrial phase change memory production. GGST memory cells are generally embedded with Si or Ti nitride layers to prevent oxidation, as it leads to an undesired decrease of the GGST crystallization temperature. Furthermore, GGST films are usually doped with elements such as N, C, O, or Bi, aiming to delay GGST crystallization during the fabrication process as well as during memory cell operation. In this work, ultrahigh vacuum thermal desorption spectroscopy (TDS) was performed during isochronal annealing of a N-doped GGST film covered by a 10 nm-thick TiN
x
layer. Desorption is observed before GGST crystallization, but the comparison between TDS and in situ x-ray diffraction measurements shows that the main desorption peak, observed between 653 K and 703 K, occurs after GGST full crystallization. The most prominent desorbing species are Ar, N2, H2, and H. These results show that the TiN
x
polycrystalline layer cannot prevent N atoms from leaving the GGST layer during annealing, suggesting a progressive change of the N-doped GGST chemical composition during thermal annealing and crystallization.
Violet phosphorus transmission and photoconductance spectroscopy
Authors: Zhang Bo , Martel Eli , Wang Zhenyu , Zhang Jinying , Szkopek Thomas 
Published: April 2023

Abstract
Violet phosphorus is a semiconducting allotrope of phosphorus with a layered crystalline structure consisting of orthogonally oriented layers of phosphorus chains composed of P2[P8]P2[P9] repeating units. Here, we report optical transmission spectroscopy and photoconductivity measurements of exfoliated flakes of violet phosphorus in the thin-film bulk limit. The violet phosphorus was synthesized by chemical vapour transport, and subsequently protected from oxidation with an inert gas environment. A peak photoconductive responsivity of R = 7 mA W−1 at photon energy 2.8 eV was observed. The spectral dependence of optical transmission and photoconductivity of violet phosphorus leads us to identify optical transitions at van Hove singularities corresponding to energies E
1 = 1.80 ± 0.05 eV and E
2 = 1.95 ± 0.05 eV. Density functional theory was applied to the calculation of violet phosphorus (vP) bandstructure, and a dipole transition analysis shows that optical transitions at the Z and A
0 points of the Brillouin zone are in agreement with experimental observations. Exposure to ambient environmental conditions for several minutes is sufficient to significantly reduce vP photoconductivity, while longer exposure leads to blistering due to oxidation. Thus, a locally inert chemical environment is essential to accessing vP intrinsic optoelectronic properties.
On the topological entropy of (a, b)-continued fraction transformations
Authors: Abrams Adam , Katok Svetlana , Ugarcovici Ilie 
Published: April 2023

Abstract
We study the topological entropy of a two-parameter family of maps related to (a, b)-continued fraction algorithms and prove that it is constant on a square within the parameter space (two vertices of this square correspond to well-studied continued fraction algorithms). The proof uses conjugation to maps of constant slope. We also present experimental evidence that the topological entropy is flexible (i.e. takes any value in a range) on the whole parameter space.
Improved drain lag by reduced surface current in GaN HEMT via an ultrathin HfO2 blanket layer
Authors: Güneş Burak , Ghobadi Amir , Odabasi Oguz , Bütün Bayram , Özbay Ekmel 
Published: April 2023

Abstract
This paper reports the influence of an ultrathin 1.5 nm atomic-layer-deposited HfO2 blanket layer as a gate dielectric on GaN high-electron-mobility transistors (HEMTs) grown on a 4H-SiC substrate. Transistors with a gate length of 250 nm and a source-to-drain distance of 3 µm were manufactured. The proposed technique involves HfO2 deposition at 250 ∘C prior to the gate metallization with no additional lithography steps. This approach reduced the drain lag by 83% compared to the conventional design with no gate dielectric. The HfO2 layer suppressed the parasitic lateral conduction from the gate, reduced surface trapping, and improved gate electrostatics. The manufactured devices exhibited nearly three orders of magnitude decreased surface leakage, better turn-on behavior, and improved cut-off frequency f

T
linearity by 16%. High quality metal-oxide interface formation was confirmed by the conductance method. Results demonstrate that the blanket HfO2 deposition is a promising approach to improve the current dispersion characteristics and gate electrostatics of GaN HEMTs without incurring major changes to the established fabrication techniques.
Bond slip detection of shear interfaces for GFRP and UHPC composite members using piezoceramic smart aggregates
Authors: Qian Hui , Li Fei , Gao Jundong , Liang Penghui , Zhang Pu 
Published: April 2023

Abstract
Ultra-high performance concrete (UHPC) and fiber-reinforced polymer (FRP) have been more and more widely used in large-scale constructions. Using FRP at the shear and bending section of concrete can increase the strength and fatigue resistance of the concrete members. However, the performance of FRP-UHPC composite structure depends mainly on the interface connection between FRP and UHPC. Therefore, to prevent the bond-slip of FRP-UHPC composite structure from causing destructive structural damage, it is essential to detect the bond-slip of interfaces for providing early warning of composite structures. Glass fiber reinforced polymer (GFRP) and concrete can be combined through several interface bond methods to form innovative composite structures. This study experimentally investigated the bond-slip detection of the shear interface of GFRP-concrete composite members using piezoceramic smart aggregates (SAs). Two groups of eight GFRP-concrete composite members with different bond methods were fabricated and tested. Both UHPC and regular concrete materials were considered. Six kinds of bond types were employed, including bolted, epoxy bonded, bonded by GFRP stay-in-plane form and their combinations. The push-out experimental results were analyzed in detail, involving the load versus slip displacement curves and failure modes. Meanwhile, the bond-slip between GFRP and UHPC interfaces was detected by the SA-based active sensing approach. A pair of SAs attached at both sides of each composite member was employed as an actuator and a sensor, respectively. The wavelet packet-based analyses, including the energy indices and damage index, were applied. Using an SA-based active sensing approach, the initiation and development of bond-slip for GFRP and UHPC composite members with different bond methods were successfully captured and quantitatively evaluated.
Particle-like solutions in the generalized SU(2) Proca theory
Authors: Martínez Jhan N. , Rodríguez José F. , Rodríguez Yeinzon , Gómez Gabriel 
Published: April 2023

AbstractThe generalized SU(2) Proca theory is a vector-tensor modified gravity theory where the action is invariant under both diffeomorphisms and global internal transformations of the SU(2) group. This work constitutes the first approach to investigate the physical properties of the theory at astrophysical scales. We have found solutions that naturally generalize the particle-like solutions of the Einstein-Yang-Mills equations, also known as gauge boson stars. Under the requirement that the solutions must be static, asymptotically flat, and globally regular, the t'Hooft-Polyakov magnetic monopole configuration for the vector field rises as one viable possibility. The solutions have been obtained analytically through asymptotic expansions and numerically by solving the boundary value problem. We have found new features in the solutions such as regions with negative effective energy density and imaginary effective charge. We have also obtained a new kind of globally charged solutions for some region in the parameter space of the theory. Furthermore, we have constructed equilibrium sequences and found turning points in some cases. These results hint towards the existence of stable solutions which are absent in the Einstein-Yang-Mills case.
Extinction time in growth models subject to geometric catastrophes
Authors: Vargas Junior Valdivino , Prates Machado Fábio , Roldán-Correa Alejandro 
Published: April 2023

Abstract
Recently, different dispersion strategies in population models subject to geometric catastrophes have been considered as strategies to improve the chance of population’s survival. Such dispersion strategies have been contrasted with the strategy where there is no dispersion, comparing the probabilities of survival. In this article, we contrast survival strategies when extinction occurs almost surely, evaluating which strategy prolongs population’s life span. Our results allow one to analyze what is the best strategy based on parameters as the probability that each individual exposed to catastrophe survives, the growth rate of the colony, the type of dispersion and the spatial restrictions.
Phased human-nature interactions for the past 10 000 years in the Hexi Corridor, China
Authors: Li Yu , Gao Mingjun , Zhang Zhansen , Duan Junjie , Xue Yaxin 
Published: April 2023

Abstract
Located in the eastern section of the ancient Silk Road, the Hexi Corridor is a crucial area where eastern and western civilizations met. Previous studies mainly explore human-nature interactions at a particular period, and there is a lack of phased human-nature interaction studies at long time scales. Here we present the relationships and patterns of interaction between humans and nature in the region over the past 10 000 years and distinguish the stages and mechanisms of interaction, which can be divided into three periods in the region. 10 000–4000 a BP is a period of weak interaction when human activities and natural processes are primarily non-interactive. The evolution of culture advances in its way rather than by environmental changes, and those early cultures do not strongly impact the natural environment. During 4000–2000 a BP, climate change becomes the dominant factor in human adaptation, mitigation, and migration in the region, and extreme short-term changes often impact the social system, intensifying the impact of nature on humans. Therefore, it is a strong interaction period (nature domination). From 2000 to 0 a BP, humans dominate environmental change manifested by surface processes, lake evolution, and regional water resource changes. At the same time, environmental change can backfire on humans, causing a series of social crises. Overall, it is a strong interaction period (human domination). We propose a Hexi model, a weak interaction—strong interaction (nature domination)—strong interaction (human domination) model, validated in other regions of the world for long time scale human-nature interactions.