bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient DFT prediction of chemical and structural stability using van der Waals correction: application for A3B2Ga3O12 garnets (A = Lu, Y and B = Al, Sc)
Authors: Pramchu Sittichain , Supatutkul Chumpol , Srisakonsub Phatthranit 
Published: November 2023

Abstract
Several seamless van der Waals (vdW) correction methods available for a wide range of systems could be expected to enhance stability predictions by accounting for the vdW effect. The stability of material can be evaluated using chemical potential phase diagram (CPD) which reveals the elemental chemical potential conditions for a successful synthesis. In this work, viability of various vdW correction approaches in improving the accuracy of stability prediction for A3B2Ga3O12 garnets (A = Lu, Y and B = Al, Sc) has been studied. From the results, we have found that vdW-df-cx, Grimme-D3, vdW-df-c09, and vdW-df2-c09 significantly improve ΔH prediction with MAPE of >5.0% lower than PBE, which exhibit their potential for stability prediction based on the CPD analysis. For CPD construction whose reliability is based on ΔH prediction, vdW-df-cx which can minimize the MAPE in ΔH, relative to experimental data, is selected as the best method among all studied vdW approaches. A more accurate description of total energy of O2 molecule and the competing compounds with layered structure can be also acquired by incorporating vdW interaction. However, the MAPE in lattice constant reveals that there is no significant improvement of lattice constant prediction for the studied garnets and their competing compounds. The vdW method which gives the MAPE in lattice constant slightly lower than that of PBE is vdW-df2-b86r. Although we found that the vdW corrections can improve material stability prediction, there is still room for the development of a novel DFT-based vdW method capable of accurately predicting both the lattice constant and ΔH of solids, including complex materials like garnets.
Quantum systems in silicon carbide for sensing applications
Authors: Castelletto S , Lew C T-K , Lin Wu-Xi , Xu Jin-Shi 
Published: November 2023

Abstract
This paper summarizes recent studies identifying key qubit systems in silicon carbide (SiC) for quantum sensing of magnetic, electric fields, and temperature at the nano and microscale. The properties of colour centres in SiC, that can be used for quantum sensing, are reviewed with a focus on paramagnetic colour centres and their spin Hamiltonians describing Zeeman splitting, Stark effect, and hyperfine interactions. These properties are then mapped onto various methods for their initialization, control, and read-out. We then summarised methods used for a spin and charge state control in various colour centres in SiC. These properties and methods are then described in the context of quantum sensing applications in magnetometry, thermometry, and electrometry. Current state-of-the art sensitivities are compiled and approaches to enhance the sensitivity are proposed. The large variety of methods for control and read-out, combined with the ability to scale this material in integrated photonics chips operating in harsh environments, places SiC at the forefront of future quantum sensing technology based on semiconductors.
Interference effect on Goos–Hänchen shifts of anisotropic medium interface
Authors: Li Zihan , Chen Ze , Li Yong , Zhang Zhihai , Zhuang Guoce , Liu Jianli , Meng Yang 
Published: November 2023

Abstract
We present a comprehensive analysis of the anomalous Goos–Hänchen (GH) displacement that occurs during the reflection of light beams at an interface between air and an anisotropic medium. This analysis also applies to the Imbert–Fedorov effect. Our study suggests that the anomalous GH displacement is primarily caused by polarization-dependent abnormal interference effects between the direct and cross-reflected light fields. Using the interface between air and a type II Weyl semimetal as an example, we provide a clear physical explanation for the relationship between spin-dependent abnormal interference effects and anomalous GH displacement. We demonstrate that spin-dependent constructive interference leads to a reduction in the GH displacement of the total reflected light field, while spin-dependent destructive interference results in an increase in the GH displacement of the total reflected light field.
Large-field Astronomical Image Restoration and Superresolution Reconstruction using Deep Learning
Authors: Long Ma , Jiangbin Du , Jiayao Zhao , Xuhao Wang , Yangfan Peng 
Published: November 2023

Abstract
The existing astronomical image restoration and superresolution reconstruction methods have problems such as low efficiency and poor results when dealing with images possessing large fields of view. Furthermore, these methods typically only handle fixed-size images and require step-by-step processing, which is inconvenient. In this paper, a neural network called Res&RecNet is proposed for the restoration and superresolution reconstruction of astronomical images with large fields of view for direct imaging instruments. This network performs feature extraction, feature correction, and progressive generation to achieve image restoration and superresolution reconstruction. The network is constructed using fully convolutional layers, allowing it to handle images of any size. The network can be trained using small samples and can perform image restoration and superresolution reconstruction in an end-to-end manner, resulting in high efficiency. Experimental results show that the network is highly effective in terms of processing astronomical images with complex scenes, generating image restoration results that improve the peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) by 4.69 (dB)/0.073 and superresolution reconstruction results that improve the PSNR and SSIM by 1.97 (dB)/0.077 over those of the best existing algorithms, respectively.
Planar matrices and arrays of Feynman diagrams: poles for higher k
Authors: Guevara Alfredo , Zhang Yong 
Published: November 2023

Abstract
Planar arrays of tree diagrams were introduced as a generalization of Feynman diagrams that enable the computation of biadjoint amplitudes

m

n

(
k
)

for k > 2. In this follow-up work, we investigate the poles of

m

n

(
k
)

from the perspective of such arrays. For general k, we characterize the underlying polytope as a Flag Complex and propose a computation of the amplitude-based solely on the knowledge of the poles, whose number is drastically less than the number of the full arrays. As an example, we first provide all the poles for the cases (k, n) = (3, 7), (3, 8), (3, 9), (3, 10), (4, 8) and (4, 9) in terms of their planar arrays of degenerate Feynman diagrams. We then implement simple compatibility criteria together with an addition operation between arrays and recover the full collections/arrays for such cases. Along the way, we implement hard and soft kinematical limits, which provide a map between the poles in kinematic space and their combinatoric arrays. We use the operation to give a proof of a previously conjectured combinatorial duality for arrays in (k, n) and (n − k, n). We also outline the relation to boundary maps of the hypersimplex Δ
k,n
and rays in the tropical Grassmannian

Tr
(
k
,
n
)

.
Study of the influence of virtual guard ring width on the performance of SPAD detectors in 180 nm standard CMOS technology
Authors: Liu Danlu , Li Ming , Xu Tang , Dong Jie , Fang Yuming , Xu Yue 
Published: November 2023

Abstract
The influence of the virtual guard ring width (GRW) on the performance of the p-well/deep n-well single-photon avalanche diode (SPAD) in a 180 nm standard CMOS process was investigated. TCAD simulation demonstrates that the electric field strength and current density in the guard ring are obviously enhanced when GRW is decreased to 1 μm. It is experimentally found that, compared with an SPAD with GRW = 2 μm, the dark count rate (DCR) and afterpulsing probability (AP) of the SPAD with GRW = 1 μm is significantly increased by 2.7 times and twofold, respectively, meanwhile, its photon detection probability (PDP) is saturated and hard to be promoted at over 2 V excess bias voltage. Although the fill factor (FF) can be enlarged by reducing GRW, the dark noise of devices is negatively affected due to the enhanced trap-assisted tunneling (TAT) effect in the 1 μm guard ring region. By comparison, the SPAD with GRW = 2 μm can achieve a better trade-off between the FF and noise performance. Our study provides a design guideline for guard rings to realize a low-noise SPAD for large-array applications.
Helical sample-stepping for faster speckle-based multi-modal tomography with the Unified Modulated Pattern Analysis (UMPA) model
Authors: Savatović Sara , De Marco Fabio , Riedel Mirko , Di Trapani Vittorio , Margini Marco , Lautizi Ginevra , Hammel Jörg U. , Herzen Julia , Thibault Pierre 
Published: November 2023

Abstract
Speckle-based imaging (SBI) is a multi-modal X-ray imaging technique that gives access to absorption, phase-contrast, and dark-field signals from a single dataset.
However, it is often difficult to disentangle the different signals from a single measurement.
Having complementary data obtained by repeating the scan under slightly varied conditions (multiframe approach) can significantly enhance the accuracy of signal extraction and, consequently, improve the overall quality of the final reconstruction.
In order to retrieve the different channels, SBI relies on a reference pattern, generated by the addition of a wavefront marker in the beam (i.e., a sandpaper or gratings).
Here, we show how a continuous helical acquisition can extend the field of view (FOV) and speed up the acquisition while maintaining a multiframe approach for the signal retrieval of a test object.
Climatic effects on landscape multifunctionality in urban parks: a view for integrating ecological supply and human benefits
Authors: Yan Ming , Chen Liding , Sun Ranhao 
Published: November 2023

Abstract
The rapid and relentless development of urban areas highlights the importance of landscape multifunctionality. However, there is limited research on the temporal dynamics and climatic effects of urban landscape multifunctionality. This study aimed to address this gap by analyzing the features of multiple landscape functions triggered by seasonal climate change in different urban park types. In this study, we investigated five typical urban landscape functions (alleviating urban heat islands, vegetation growth, biodiversity promotion, alleviation of waterlogging, and provision of recreational activities) by establishing a set of indices: ecological supply capability (SP
), proportion of ecological supply (SPP
), capability of human benefits (BP
), and human benefits efficiency (BEP
) of urban parks. The average SP
of the landscape functions was 58% in summer and 46% in winter. During the transition from summer to winter, urban parks witnessed a significant decrease in SPP
for alleviating the urban heat island, dropping from 34% to 5%. The primary landscape functions shifted from alleviating the urban heat island (34%) and providing recreation (29%) to providing recreation (38%) and biodiversity promotion (29%). Concerning park types, nature parks provided the highest SP
, whereas community parks provided the highest BEP
. This study has useful implications for landscape management in urban parks, particularly regarding timely adjustments across seasonal climates. It is possible to promote sustainable and effective human well-being by maximizing landscape functions.
Significant relationships between drought indicators and impacts for the 2018–2019 drought in Germany
Authors: Shyrokaya Anastasiya , Messori Gabriele , Pechlivanidis Ilias , Pappenberger Florian , Cloke Hannah L , Di Baldassarre Giuliano 
Published: November 2023

Abstract
Despite the scientific progress in drought detection and forecasting, it remains challenging to accurately predict the corresponding impact of a drought event. This is due to the complex relationships between (multiple) drought indicators and adverse impacts across different places/hydroclimatic conditions, sectors, and spatiotemporal scales. In this study, we explored these relationships by analyzing the impacts of the severe 2018–2019 central European drought event in Germany. We first computed the standardized precipitation index (SPI), the standardized precipitation evaporation index (SPEI), the standardized soil moisture index (SSMI) and the standardized streamflow index (SSFI) over various accumulation periods, and then related these indicators to sectorial losses from the European drought impact report inventory (EDII) and media sources. To cope with the uncertainty associated with both drought indicators and impact data, we developed a fuzzy method to categorize them. Lastly, we applied the method at the region level (EU NUTS1) by correlating monthly time series. Our findings revealed strong and significant relationships between drought indicators and impacts over different accumulation periods, albeit in some cases region-specific and time-variant. Furthermore, our analysis established the interconnectedness between various sectors, which displayed systematically co-occurring impacts. As such, our work provides a new framework to explore drought indicators-impacts dependencies across space, time, sectors, and scales. In addition, it emphasizes the need to leverage available impact data to better forecast drought impacts.
Asymptotic analysis of the narrow escape problem in general shaped domain with several absorbing necks
Authors: Li Xiaofei , Lin Shengqi 
Published: November 2023

Abstract
This paper considers the two-dimensional narrow escape problem in a domain which is composed of a relatively big head and several absorbing narrow necks. The narrow escape problem is to compute the mean first passage time (MFPT) of a Brownian particle traveling from inside the head to the end of the necks. The original model for MFPT is to solve a mixed Dirichlet–Neumann boundary value problem for the Poisson equation in the composite domain, and is computationally challenging. In this paper, we compute the MFPT by solving an equivalent Neumann–Robin type boundary value problem. By solving the new model, we obtain the three-term asymptotic expansion of the MFPT. We also conduct numerical experiments to show the accuracy of the high order expansion. As far as we know, this is the first result on high order asymptotic solution for narrow escape problem (NEP) in a general shaped domain with several absorbing neck windows. This work is motivated by Li (2014 J. Phys. A: Math. Theor.
47 505202), where the Neumann–Robin model was proposed to solve the NEP in a domain with a single absorbing neck.
On two possible ways to recover ordinary thermodynamics from extended thermodynamics of polyatomic gases
Authors: Demontis F , Pennisi S 
Published: November 2023

Abstract
We consider two possible ways, i.e. the Maxwellian iteration (MI) and the Chapman–Enskog method (CEM), to recover relativistic ordinary thermodynamics from relativistic extended thermodynamics of Polyatomic gases with N moments. Both of these methods give the Eckart equations which are the relativistic version of the Navier–Stokes and Fourier laws as a first iteration. However, these methods do not lead to the same expressions of the heat conductivity χ, the shear viscosity µ, and the bulk viscosity ν which appear as coefficients in the Eckart equations. In particular, we prove that the expressions of χ, µ, and ν obtained via the CEM do not depend on N, while those obtained through the MI depend on N. Moreover, we also prove that these two methods lead to the same results in the nonrelativistic limit.
High temperature tribological properties of Fe-Mo-Ni-Cu-Graphite self-lubricating guide sliding plates
Authors: Yan Xiaoni , Yang Wei , Zhao Yingxiang , Deng Wen , Shi Junwen , Guo Junde 
Published: November 2023

Abstract
High-temperature self-lubricating Fe-Mo-Ni-Cu-graphite materials with varying copper contents were prepared by powder metallurgy technology. The microstructure and wear surface of the sintered alloy were observed and analyzed using optical microscopy and scanning electron microscopy. The focus was on discussion of the influence of copper content on the tribological properties of the iron-based material. The results indicate that the friction coefficient and wear rate of the sintered material against a 40Cr steel disc show a decreasing trend after friction with an increase in copper content. Particularly, at a copper content of 15%, the friction coefficient is lowest at both room temperature and 500 °C, exhibiting the best wear resistance. The wear rate is in the order of 10–7 cm3/N•m, indicating mild wear. The predominant wear mechanism for both the material and the counterpart disc is adhesive wear. During friction, the formation of a black-brown lubricating composite film composed of Fe2O3, graphite, Fe2O3 • Fe3O4, CuO, and Fe3O4 on the material’s surface plays a crucial role in providing excellent high-temperature anti-friction properties.
Off-the-shelf optical systems design enabled by an evolution strategy: front stop case
Authors: Madrid-Sánchez Alejandro , Ortiz-Ocampo José , Trujillo Carlos , Ottevaere Heidi 
Published: November 2023

Abstract
Commercial off-the-shelf optics enable economic and rapid solutions in the photonics industry and academia. However, the design of optical systems with off-the-shelf optics is a time-consuming task for experienced optical designers and hopeless for novice designers. In this paper, we propose an automatic optical design tool to generate optical systems using only off-the-shelf optical components without human assistance. Our solution is based on an evolution strategy (ES) that performs a discrete combinatorial optimization following optical design-based methodologies that satisfy user-defined specifications. Unlike the conventional methods, the algorithm decreases the design process time and provides optical designers with several optical solutions from where to choose and adapt for targeted applications. In this work, the ES is described and tested with front stop optical configurations. We demonstrate the broad solution domain of the algorithm through the generation of optical systems with F-numbers within a range F/1 to F/90 and field of views up to 300 mm at the image plane. To analyze the solution domain and the characteristics of the solution, we used the design specifications of 29 commercially available scan lenses and compared the performance of different ES parameters. The compatibility of our algorithm with (standard) commercially available optical design software unlocks automatic design tools for off-the-shelf optical systems.
Bioprinted in vitro tissue models: an emerging platform for developing therapeutic interventions and disease modelling
Authors: Bhardwaj Nandana , Dey Souradeep , Bhar Bibrita , Mandal Biman B 
Published: November 2023

Abstract
In the past decade, the use of three-dimensional (3D) bioprinting technology for the development of in vitro tissue models has attracted a great deal of attention. This is due to its remarkable precision in constructing different functional tissues and organs, enabling studies of their biology. In addition, this high-throughput technology has been extended to therapeutics, as it provides an alternative functional platform for rapid drug screening and disease modelling. Functional tissue models fabricated using 3D bioprinting mimic native tissues and help in the development of platforms for personalized drug screening and disease modelling due to their high throughput and ease of customization. Moreover, bioprinted 3D tissue models mimic native tissues more closely and provide added advantages over earlier conventional tissue models, such as monoculture, co-culture, explants, etc. In this context, this review article provides an overview of different bioprinted in vitro tissue models of skin, bone, neural tissue, vascular tissue, cartilage, liver and cardiac tissue. This article explores advancements and innovations in these models in terms of developing improved therapeutic interventions. Herein, we provide an insight into the development of different bioprinted tissue models for applications in drug screening and disease modelling. The needs and advantages of bioprinted tissue models as compared with conventional in vitro models are discussed. Furthermore, the different biomaterials, cell sources and bioprinting techniques used to develop tissue models are briefly reviewed. Thereafter, different bioprinted tissue models, namely skin, liver, vascular, cardiac, cartilage, bone and neural tissue, are discussed in detail with a special emphasis on drug screening and disease modelling. Finally, challenges and future prospects are highlighted and discussed. Taken together, this review highlights the different approaches and strategies used for the development of different 3D bioprinted in vitro tissue models for improved therapeutic interventions.
Research on electromagnetic electroosmotic flow of Jeffrey fluid through semicircular microchannel
Authors: Dong Jiayin , Li Dongsheng , Yu Mengqi , Li Kun 
Published: November 2023

Abstract
This work extends the previous research on electroosmotic flow in semicircular microchannels, further investigating the electromagnetic electroosmotic flow of Jeffrey fluid under the combined action of the electric field force and electromagnetic force. The analytic solution of velocity is derived using the variable separation method. The influences of oscillation Reynolds number

R
e
,

Hartmann number

H
a
,

electric width

K
,

relaxation time

D
e

and retardation time

λ

2

ω

on velocity are examined through graphical analysis. The results show that an increase in Reynolds number

R
e

leads to stronger oscillations in the velocity profile at any Hartmann number

H
a
,

and the change in velocity oscillations becomes more pronounced with increasing Hartmann number

H
a
.

Specifically, at lower Hartmann numbers

H
a
,

the velocity increases with an increase in electric width

K

and relaxation time

D
e
,

but decreases with an increase in retardation time

λ

2

ω
.

An interesting finding is that, at higher Hartmann numbers

H
a
,

the velocity of the Jeffrey fluid still decreases under the influence of obstruction in the channel. Furthermore, the results of this study are compared with those of previous scholars to validate their accuracy.
Development of a roof-mounted stand-alone wind turbine system for house-hold power generation
Authors: Surve Minendra L , Deshmukh Prashant D , Kale Bharatbhushan S , Ghadge Akshay R , Patil Manish V 
Published: November 2023

Abstract
In recent years, the development of sustainable energy sources has attracted increasing interest due to worries about the environmental effects of greenhouse gas emissions. Renewable energy and technology may provide a solution to the persistent environmental issues that developing nations are currently experiencing. In this work, it has been demonstrated that the design, analysis, and implementation of the newly developed small roof-mounted stand-alone wind turbine systems for household energy production. It is specially designed for sites with low altitudes (12 m above ground) and low wind speeds (range of 1–12 m s−1). The wind turbine system involves the mechanical design of the 3-blade rotor and its installation on a micro-capacity and self-contained 325 W wind turbine. The experimental analysis reveals that the peak power coefficient (CP) is quite good, about 0.13, and the output power is 43.75 W. The comparative analysis is also done to validate that the results are consistent with micro-capacity systems that have been tested under similar conditions. This work provides insight into the development of roof-mounted stand-alone wind turbine systems, which have a lot of potential for green applications and to make up for people who don’t have access to electricity.