bluuebunny/crossref_metadata_2025_split huggingface dataset:
Finite-element dynamic-matrix approach for propagating spin waves: Extension to mono- and multi-layers of arbitrary spacing and thickness
Authors: Körber L. , Hempel A. , Otto A. , Gallardo R. A. , Henry Y. , Lindner J. , Kákay A. 
Published: November 2022

In our recent work [Körber et al., AIP Adv. 11, 095006 (2021)], we presented an efficient numerical method to compute dispersions and mode profiles of spin waves in waveguides with translationally invariant equilibrium magnetization. A finite-element method (FEM) allowed to model two-dimensional waveguide cross sections of arbitrary shape but only finite size. Here, we extend our FEM propagating-wave dynamic-matrix approach from finite waveguides to the important cases of infinitely extended mono- and multi-layers of arbitrary spacing and thickness. To obtain the mode profiles and frequencies, the linearized equation of the motion of magnetization is solved as an eigenvalue problem on a one-dimensional line-trace mesh, defined along the normal direction of the layers. Being an important contribution to multi-layer systems, we introduce interlayer exchange into our FEM approach. With the calculation of dipolar fields being the main focus, we also extend the previously presented plane-wave Fredkin–Koehler method to calculate the dipolar potential of spin waves in infinite layers. The major benefit of this method is that it avoids the discretization of any non-magnetic material such as non-magnetic spacers in multilayers. Therefore, the computational effort becomes independent of the spacer thicknesses. Furthermore, it keeps the resulting eigenvalue problem sparse, which, therefore, inherits a comparably low arithmetic complexity. As a validation of our method (implemented into the open-source finite-element micromagnetic package TETRAX), we present results for various systems and compare them with theoretical predictions and with established finite-difference methods. We believe this method offers an efficient and versatile tool to calculate spin-wave dispersions in layered magnetic systems.
Local Dirac energy decay in the 5D Myers-Perry geometry using an integral spectral representation for the Dirac propagator
Authors: Wang Qiu Shi 
Published: November 2022

Abstract
We consider the massive Dirac equation in the exterior region of the five-dimensional Myers-Perry black hole. Using the resulting ordinary differential equations (ODEs) obtained from the separation of variables of the Dirac equation, we construct an integral spectral representation for the solution of the Cauchy problem with compactly supported smooth initial data. We then prove that the probability of presence of a Dirac particle to be in any compact region of space decays to zero as

t
→
∞

, in analogy with the case of the Dirac operator in the Kerr–Newman geometry (Finster et al 2003 Adv. Theor. Math. Phys.
7 25–52).
Tunable interstitial anionic electrons in layered MXenes
Authors: Li Bowen , Bai Haoyun , Shen Shiying , Ng Kar Wei , Pan Hui 
Published: November 2022

Abstract
Electrides with spatial electrons serving as ‘anions’ in the cavities or channels exhibit intriguing properties which can be applied in electron injection/emission and high-speed devices. Here, we report a new group of layered electrides, M2X (M = Ti, V, and Cr; X = C and N) with electrons distributed in the interlayer spacings. We find that the interstitial electrons tend to be delocalized from the Ti-based structures to the Cr-based ones. We show that the interstitial electrons originate from the d-electrons of transition metal atoms. Our findings prove the existence of tunable interstitial electrons with rich electronic properties in layered MXenes and provide valuable insights into the design and fabrication of new materials with multiple applications.
Proximity-enhanced magnetocaloric effect in ferromagnetic trilayers
Authors: Persson M , Kulyk M M , Kravets A F , Korenivski V 
Published: November 2022

Abstract
The demagnetization and associated magnetocaloric effect (MCE) in strong-weak-strong ferromagnetic trilayers, upon a reorientation of the strong ferromagnets from parallel to antiparallel (AP) magnetization, is simulated using atomistic spin dynamics. The simulations yield non-trivial spin distributions in the AP state, which in turn allows entropy to be calculated directly. The influence of longer-range spin–spin interactions and of variable strength of the external switching field are investigated. Finally, we find that the MCE in the system can be significantly improved by allowing the local exchange to vary through the spacer, which in practice can be implemented by spatially tailoring the spacer’s magnetic dilution.
Transport mechanisms in hyperdoped silicon solar cells
Authors: García-Hernansanz R , Duarte-Cano S , Pérez-Zenteno F , Caudevilla D , Algaidy S , García-Hemme E , Olea J , Pastor D , Del Prado A , San Andrés E , Mártil I , Ros E , Puigdollers J , Ortega P , Voz C 
Published: November 2022

Abstract
According to intermediate band (IB) theory, it is possible to increase the efficiency of a solar cell by boosting its ability to absorb low-energy photons. In this study, we used a hyperdoped semiconductor approach for this theory to create a proof of concept of different silicon-based IB solar cells. Preliminary results show an increase in the external quantum efficiency (EQE) in the silicon sub-bandgap region. This result points to sub-bandgap absorption in silicon having not only a direct application in solar cells but also in other areas such as infrared photodetectors. To establish the transport mechanisms in the hyperdoped semiconductors within a solar cell, we measured the J–V characteristic at different temperatures. We carried out the measurements in both dark and illuminated conditions. To explain the behavior of the measurements, we proposed a new model with three elements for the IB solar cell. This model is similar to the classic two-diodes solar cell model but it is necessary to include a new limiting current element in series with one of the diodes. The proposed model is also compatible with an impurity band formation within silicon bandgap. At high temperatures, the distance between the IB and the n-type amorphous silicon conduction band is close enough and both bands are contacted. As the temperature decreases, the distance between the bands increases and therefore this process becomes more limiting.
On the Casimir effect from the zero-point energy: a tangential force and its properties
Authors: Zhang Zhentao 
Published: November 2022

Abstract
We investigate the Casimir effect in the systems that consist of parallel but misaligned finite-size plates from the point of view of zero-point energy. We elaborate that the zero-point energies of the radiation field in the perfect conductor systems would generate a tangential Casimir force, and explore the properties and consequences of this tangential force in various conductor systems. Thereafter, we generalize our discussion to dielectrics. After calculating the total zero-point energies of the surface modes in the multilayered systems, we show that the tangential force also exists in dielectrics. We obtain the finite-conductivity corrections to the tangential force for imperfectly conducting plates, and calculate the finite-temperature corrections to the force. The typical strength of the tangential force suggests it might be observable.
First-principles study of physical, and superconducting properties of newly discovered full-Heusler compound MgPd

2

Sb
Authors: Islam M A , Islam Md Rasidul , Rahaman Md Zahidur , Soga T 
Published: November 2022

Abstract
A DFT-based theoretical technique is used to investigate the physical characteristics of type-II MgPd
2
Sb superconductor, which reveals superconductivity below 2.83 K. By using the McMillan equation, the computed electron-phonon coupling constant is 0.60. This suggests that this compound can be classified as a weakly coupled superconductor, which is consistent in accordance with earlier published theoretical as well as experimental results. The calculated lattice parameter, density of state (DOS) and Debye temperature are also consistent with other studies. The calculated electronic band structure indicates that the studied compound is metallic in nature. For the first time we have investigated the detailed optical and mechanical characteristics of MgPd
2
Sb superconductor. The computed elastic constant reveals that this compound is mechanically stable and ductile. The anisotropy of the MgPd
2
Sb superconductor is determined by using the Zener anisotropic algorithm and the ELATE code.The optical properties of this Heusler type superconductor are nearly similar to other members of the same family. We believe that the present findings can assist researchers in finding and analyzing new superconducting candidates among the full-Heusler alloys.
Damage resilience of manufactured and biological actuators
Authors: Perrier Raphaël , Tadrist Loïc , Linares Jean-Marc 
Published: November 2022

Abstract
Designing resilient actuators is a challenge for industry, in part because an index for resilience has yet to be established. In this work, several definitions of resilience are analysed and, on the basis of this, an index quantifying resilience for actuators is proposed. This index does indeed allow for the resilience computation of a wide range of manufactured and biological actuators to be compared. The two manufactured actuators chosen as iconic models are a hydraulic cylinder and a bio-inspired McKibben muscle, and these are shown not to be resilient by design. In addition, two biological actuators likely to be resilient were also analysed. The pulvinus resilience index shows that it is partly resilient depending on damage location. But the most promising is the skeletal muscle, which has been shown to be highly resilient. Finally, the bio-inspired roots of resilience are discussed: resilience may originate from multi-scale structural design.
Opposing out loud versus supporting in silence: who wants to participate in decision-making about energy projects?
Authors: Liu Lu , Perlaviciute Goda , Squintani Lorenzo 
Published: November 2022

Abstract
Public participation in decision-making is widely expected to contribute to democratic society, better decisions, and higher public acceptability of energy projects. The realization of the desired functions of public participation depends, however, on who participates in decision-making. In opinion surveys about two planned wind parks in the Netherlands, we found that opponents were more willing to participate than supporters. Those who would not accept the project under any conditions were more motivated to participate than those who may accept the project if certain conditions were met. Furthermore, motivation to participate was associated with stronger negative emotions towards the project (e.g. angry, disappointed), and weaker positive emotions (e.g. happy, proud). Taken together, public preferences to participate in decision-making can affect the desired functions of public participation, as not everyone will equally participate. Our findings have important implications for energy policies primarily focusing on demographic representativeness in participation: it is also important to consider the representation of different perspectives in decision-making. Also, incorporating people’s different emotions towards energy projects can be a valuable route to effective public participation, in addition to the dominating rationalistic approach.
Household energy transition and social status: evidence from large-scale heating renovation in China
Authors: Zhao Jing , Wang Mingzhe , Zhu Junming 
Published: November 2022

Abstract
Clean, low-carbon energy transition has been a global trend in pursuing climate mitigation and sustainable development, with residential heating being an essential component. Despite its substantial climate, environmental, and health benefits, the social impacts of residential energy transition are insufficiently understood. Based on a difference-in-differences design, we identify the causal effects of a large-scale clean heating policy on public perceptions of their social status in northern China. We find substantial improvement in individuals’ social status immediately following the heating renovation, which is robust over a set of empirical specifications but diminishes in the long term. The transition benefited not only those directly experiencing renovation but also others in the same areas. The improved social status was driven by perception of higher income and bettered health condition. The findings indicate a sustainable and inclusive transition of clean heating, and call for additional measures to maximize its social benefits.
Substantial regional climate change expected following cessation of CO2 emissions
Authors: MacDougall Andrew H , Mallett Josie , Hohn David , Mengis Nadine 
Published: November 2022

Abstract
The zero emissions commitment (ZEC) is the expected temperature change following the cessation of anthropogenic emissions of climate altering gases and aerosols. Recent model intercomparison work has suggested that global average ZEC for CO2 is close to zero. However there has thus far been no effort to explore how temperature is expected to change at spatial scales smaller than the global average. Here we analyze the output of nine full complexity Earth System Models which carried out standardized ZEC experiments to quantify the ZEC from CO2. The models suggest that substantial temperature change following cessation of emissions of CO2 can be expected at large and regional spatial scales. Large scale patterns of change closely follow long established patterns seen during modern climate change, with higher variability and more change as one approaches the polar regions, and with more change over land than ocean. The sign of temperature change (warming or cooling) varies by model and climatic zone. At the regional scale patterns of change are far more complex and show little consistency between different models. Analysis of model output suggest that for most models these changes far exceed pre-industrial internal variability, suggesting either higher climate variability, continuing changes to climate dynamics or both. Overall substantial regional changes in climate are expected following cessation of CO2 emissions but the pattern, magnitude and sign of these changes remains highly uncertain.
A novel conjugated polymer fluorescence probe for the detection of copper ions in aqueous media
Authors: Gong Lindan , Zhang Lixiao , Shen Rui , Zhang Lin , Wang Hengyuan , Fan Lu-an 
Published: November 2022

Abstract
A novel ionic conjugated polymer fluorescent probe (IP) containing fluorenyls and imines was synthesized through a simple condensation method for the rapid detection of Cu2+. The probe exhibited a selective quenching response toward Cu2+ over other common metal ions in phosphate-buffered saline (PBS) at a pH of 7. Moreover, the fluorescence intensity of IP was linearly proportional to the concentration of Cu2+ when it ranged from 1 to 10 μM, and the limit of detection for Cu2+ was 0.45 μM. Furthermore, the quenched fluorescence of IP by Cu2+ was recovered after adding amino acids or ethylenediaminetetraacetic acid (EDTA), indicating that the probe could be recycled and is promising to reduce the detection cost of Cu2+ in real samples.
Nanoprodrugs encapsulated with mesoporous silica nanoparticles for combined with photothermal therapy for the treatment and care of gastric cancer
Authors: Jin Qiaoli , Pan Qin 
Published: November 2022

Abstract
In this study, mesoporous silica nanoparticles (MSNs) were surface-modified with polymer poly(HEMA-co-PEGMA via surface-initiated atom transfer radical polymerization and a multifunctional nanoplatform MSNP@poly(HEMA-co-PEGMA-g-doxorubicin (DOX)/Rhodamine 6 G (R6G) was developed to combine photothermal (PTT) and chemotherapy therapy effectively. PTT induced by near-infrared (NIR) radiations might further destroy gastric cancer cell lines while the small-dye molecule was co-loaded into the MSNP pores. A 65 % higher cumulative drug release over 50-h occurs when the cis-aconitic anhydride link breaks under low-pH stimulation (typical physiological environment). High temperatures accelerated reversible covalent bond breakage. The accumulative release of the drug increased by 24.3 %, illustrating that higher temperatures can decrease the time needed to complete blood drug concentrations by 24.3 %. More than 90% of gastric tumour cells were destroyed after 48 h following exposure to NIR light irradiation with the prodrug delivery system, compared to DOX alone in vitro cytotoxicity tests. Because of this, rapidly reversible chemical bond breaking and photothermal activity in MSNP@poly(HEMA-co-PEGMA-g-DOX/R6G) increased the synergic impact of the chemotherapy, which offers tremendous promise in combination with the treatment and care of gastric cancer therapy.
Modeling tungsten response under helium plasma irradiation: a review
Authors: YANG Zhangcan , FAN Junyi 
Published: November 2022

Abstract
Tungsten, a leading candidate for plasma-facing materials (PFM) in future fusion devices, will be exposed to high-flux low-energy helium plasma under the anticipated fusion operation conditions. In the past two decades, experiments have revealed that exposure to helium plasma strongly modifies the surface morphology and hence the sputtering, thermal and other properties of tungsten, posing a serious danger to the performance and lifetime of tungsten and the steady-state operation of plasma. In this article, we provide a review of modeling and simulation efforts on the long-term evolution of helium bubbles, surface morphology, and property changes of tungsten exposed to low-energy helium plasma. The current gap and outstanding challenges to establish a predictive modeling capability for dynamic evolution of PFM are discussed.
Assessment of recent global geopotential models based on the Auvergne test area data
Authors: Doğanalp Serkan 
Published: November 2022

Abstract
The gravitational field is important for many natural phenomena related to earth dynamics, especially mass transport. Its precise determination is essential for earth sciences such as geodesy, geophysics and oceanography. Determining the earth’s gravitational field is the same as determining the earth’s potential. Since this potential is a harmonic function outside the earth, spherical harmonic series are often used to represent the gravity field. Global Geopotential Models (GGMs) are sets of spherical harmonic coefficients representing the earth’s gravity field at different wavelengths. GGMs developed by scientists are published by the International Centre for Gravity Earth Models (ICGEM). When the structure of the GGMs is examined, it is seen that they consist of different degrees and various data groups. The accuracy and resolution provided by each GGM vary depending on the degree of the model and the data used for developing the GGM. Also, geodetic quantities such as potential, geoid undulation, deflection of the vertical components, gravity, and anomaly values can be derived from GGMs within the framework of mathematical principles. In this study, gravity, geoid heights, and free-air gravity anomaly values at test points using different GGMs produced in recent years have been investigated. The study area contains 98000 test points chosen from the Auvergne test area in France. Within the scope of the study, the geoid undulations, gravity values, and free-air gravity anomalies for all points derived from seven recent GGMs have been compared with ground-truth data and the statistical results have been obtained.
General Vapnik–Chervonenkis dimension bounds for quantum circuit learning
Authors: Chen Chih-Chieh , Sogabe Masaru , Shiba Kodai , Sakamoto Katsuyoshi , Sogabe Tomah 
Published: November 2022

Abstract
Quantifying the model complexity of quantum circuits provides a guide to avoid overfitting in quantum machine learning. Previously we established a Vapnik–Chervonenkis (VC) dimension upper bound for ‘encoding-first’ quantum circuits, where the input layer is the first layer of the circuit. In this work, we prove a general VC dimension upper bound for quantum circuit learning including ‘data re-uploading’ circuits, where the input gates can be single qubit rotations anywhere in the circuit. A linear lower bound is also constructed. The properties of the bounds and approximation-estimation trade-off considerations are discussed.
Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning
Authors: Carrell David S , Gruber Susan , Floyd James S , Bann Maralyssa A , Cushing-Haugen Kara L , Johnson Ron L , Graham Vina , Cronkite David J , Hazlehurst Brian L , Felcher Andrew H , Bejan Cosmin A , Kennedy Adee , Shinde Mayura
U , Karami Sara , Ma Yong , Stojanovic Danijela , Zhao Yueqin , Ball Robert , Nelson Jennifer
C 
Published: November 2022

Abstract
We sought to determine whether machine learning and natural language processing (NLP) applied to electronic medical records could improve performance of automated health-care claims-based algorithms to identify anaphylaxis events using data on 516 patients with outpatient, emergency department, or inpatient anaphylaxis diagnosis codes during 2015–2019 in 2 integrated health-care institutions in the Northwest United States. We used one site’s manually reviewed gold-standard outcomes data for model development and the other’s for external validation based on cross-validated area under the receiver operating characteristic curve (AUC), positive predictive value (PPV), and sensitivity. In the development site 154 (64%) of 239 potential events met adjudication criteria for anaphylaxis compared with 180 (65%) of 277 in the validation site. Logistic regression models using only structured claims data achieved a cross-validated AUC of 0.58 (95% CI: 0.54, 0.63). Machine learning improved cross-validated AUC to 0.62 (0.58, 0.66); incorporating NLP-derived covariates further increased cross-validated AUCs to 0.70 (0.66, 0.75) in development and 0.67 (0.63, 0.71) in external validation data. A classification threshold with cross-validated PPV of 79% and cross-validated sensitivity of 66% in development data had cross-validated PPV of 78% and cross-validated sensitivity of 56% in external data. Machine learning and NLP-derived data improved identification of validated anaphylaxis events.