bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning based modeling of disordered elemental semiconductors: understanding the atomic structure of a-Si and a-C
Authors: Caro Miguel A 
Published: February 2023

Abstract
Disordered elemental semiconductors, most notably a-C and a-Si, are ubiquitous in a myriad of different applications. These exploit their unique mechanical and electronic properties. In the past couple of decades, density functional theory (DFT) and other quantum mechanics-based computational simulation techniques have been successful at delivering a detailed understanding of the atomic and electronic structure of crystalline semiconductors. Unfortunately, the complex structure of disordered semiconductors sets the time and length scales required for DFT simulation of these materials out of reach. In recent years, machine learning (ML) approaches to atomistic modeling have been developed that provide an accurate approximation of the DFT potential energy surface for a small fraction of the computational time. These ML approaches have now reached maturity and are starting to deliver the first conclusive insights into some of the missing details surrounding the intricate atomic structure of disordered semiconductors. In this Topical Review we give a brief introduction to ML atomistic modeling and its application to amorphous semiconductors. We then take a look at how ML simulations have been used to improve our current understanding of the atomic structure of a-C and a-Si.
First performance test of FeSe0.5Te0.5 coated conductor coil under high magnetic fields
Authors: Wei Shaoqing , liu xiao , Zhang Zhan , Shi Yi , Liu Fang , Qin Jinggang , Liu Huajun , Song Yuntao , Li Yijie , Liu Linfei , Shi Zhixiang , Ren Li , Xu Ying , Duan Pu , Yang Zhixing , Ge Junyi , Qi Yanpeng 
Published: February 2023

Abstract
Iron-based superconductors (IBS) have attracted intense interest from scientists around the world. The first FeSe0.5Te0.5 hybrid coil including one FeSe0.5Te0.5 single pancake coil (SPC) and eight YBCO double pancake coils (DPCs) was successfully fabricated and test in this study. The FeSe0.5Te0.5 tape used in the hybrid coil is encapsulated strengthen tape which is with 0.15 mm thickness and 10.5 mm width to withstand the high stress during the cold test. The FeSe0.5Te0.5 encapsulated tape exhibits good performance at 4.2 K cold test. YBCO DPCs were divided into two groups connected to both sides of the FeSe0.5Te0.5 SPC. The critical current of the FeSe0.5Te0.5 coil was measured under the background field increased from 0 T to 10 T. The transport critical current of the FeSe0.5Te0.5 SPC showed 108.1 A at self-field and 17.4 A at 10 T, which had almost the same performance as the short sample. The results in this study showed that the FeSe0.5Te0.5 coated conductor coil have good performance in high magnetic fields.
Simulating the effects of fabrication tolerance on the performance of Josephson travelling wave parametric amplifiers
Authors: Ó Peatáin S , Dixon T , Meeson P J , Williams J M , Kafanov S , Pashkin Yu A 
Published: February 2023

Abstract
We present the simulated performance of a Josephson traveling wave parametric amplifier based on a one-dimensional array of radio-frequency single-junction superconducting quantum interference devices. Using the capabilities allowed by the WRspice simulation platform and previous works on this scheme, we include in our study the effects of fabrication tolerances in the device parameters on the gain of the amplifier. Our simulations show the negative effects of parameter variation and the resulting microwave reflections of signal and pump waves between individual cells. We present a method to understand the inner dynamics of the device using an impedance model that substitutes the need to simultaneously consider phase bias points and wave mixing dynamics. This should allow the application of the results presented here to more complex schemes, which promise higher amplification and fewer drawbacks. We highlight the strict limitations on parameter spread in these devices while also discussing the robustness of the scheme to defects.
Stable wavelength-swept single-frequency erbium fiber laser in L-band tuning bandwidth
Authors: Lai Yu-Ting , Chen Yuan-You , Chen Hao-Zhong , Yeh Chien-Hung , Lin Chun-Yen , Chen Ying-Zhen , Liao Chien-Yu , Chang Dung-Chiun , Chen Lan-Yin , Chow Chi-Wai 
Published: February 2023

Abstract
In the study, we demonstrate an erbium-doped fiber (EDF) laser system by integrating the Mach–Zehnder interferometer (MZI) and triple-fiber-ring structures to generate the single-longitudinal-mode (SLM) output in L-band bandwidth. Here, a sub-ring with a 5.5 m unpumped EDF based saturable absorber (SA) is also applied to induce the narrowband auto-tracking filter behavior. Based on the proposed fiber cavity induced mode-filter effect, the EDF laser can achieve the stable, narrow and wavelength-tunable output characteristics over an effective tuning range of 1568.0 to 1613.0 nm. Furthermore, the output stability, optical signal to noise ratio (OSNR), output power and laser linewidth of the laser are also performed and discussed.
Independently tunable concentric graphene ring resonators based ultrathin broadband THz absorber
Authors: Kumar Abhishek , Varshney Gaurav 
Published: February 2023

Abstract
An ultrathin structure of graphene-based absorber is implemented and numerically analyzed. The absorber is designed with the usage of graphene ring resonators and graphene reflector in the lower terahertz (THz) frequency ranges. The geometry of the absorber can be implemented with the thickness as small as λ/193; (λ: free space wavelength). A number of resonances is generated using concentric graphene ring resonators which can individually tuned over frequency using chemical potential of graphene for merging and achieving the broad absorption band. An absorption of more than 90% is achieved over the frequency range of 10.34–16.23 THz and more than 80% in the frequency range of 9.89–16.77 THz. The proposed absorber provides the polarization independent geometry with the allowed incident angle up to 50°. The ultrathin geometry of the proposed absorber can provide a way to implement the absorber with broad absorption bandwidth.
A novel fractal-fractional analysis of the stellar helium burning network using extended operational matrix method
Authors: Shloof A M , Senu N , Ahmadian A , Nouh M I , Salahshour S 
Published: February 2023

Abstract
The second stage, in which the star uses nuclear fuel in its interior, represents the helium burning phase. At that stage, three elements are synthesised: carbon, oxygen, and neon. This paper aims to establish a numerical solution for the helium burning system (HBN) fractal-fractional differential equations (FFDEs). The extended operative matrix method (OM) is employed in the solution of a system of differential equations. The product abundances of the four elements (helium, carbon, oxygen and neon) were obtained in a form of divergent series. These divergent series are then accelerated using Euler-Abell transformation (EUAT) and Pade approximation (EUAT-PA) to obtain more reliable results. Nine fractal-fractional (FF) gas models are calculated, and fractal-fractional parameters’ influence on product abundances is discussed. The findings show that modeling nuclear burning networks with the OM fractal-fractional derivative produces excellent results, establishing it as an accurate, resilient, and trustworthy approach, and the fractional HB models can have a considerable impact on stellar model calculations.
Molecular dynamics study of the repetitive friction mechanism of nickel-based single crystals in an aqueous environment
Authors: Zheng Ming , Zhang Zhou , Zhu Zongxiao , Qu Dingfeng , Chen Weihua , Wu Zhuo , Wang Linjun , Ma Xuezhong 
Published: February 2023

Abstract
In this study, molecular dynamics simulations were used to simulate the iterative rotational friction of nickel-based single crystals using diamond grinding balls in both the presence and absence of water. First, the friction force, depth and morphology of wear marks, wear rate, and evolution of internal defects during the friction process of nickel-based single crystals were investigated. Second, a comparative study of the frictional wear of nickel-based single crystals in both the presence and absence of water was carried out in terms of temperature, water molecule distribution, atomic displacement vector, and wear scar depth during the friction process. Finally, the formation process of irregular grinding chips under aqueous conditions was elucidated. The following phenomena were observed: As the number of rubs increased, the single rub depth of the workpiece, the wear rate, and the rate of increase in the number of defective atoms produced all decreased. A comparison of friction under aqueous and water-free conditions showed that, in the presence of water, the force exerted by the grinding ball on the workpiece was shared by the water molecules. This resulted in a decrease in the roughness of the machined surface, a reduction in the number of internally generated layer errors, a lower overall friction temperature, and a nickel matrix that was protected by water molecules. Finally, when grinding under aqueous conditions, water molecules interfered with the normal chip removal process of the grinding balls, leading to the production of irregular grinding chips.
The effect of collisions on the rayleigh-taylor instability in magnetized quantum plasma
Authors: Rajaei Leila , Golpar-Raboky Effat 
Published: February 2023

Abstract
Rayleigh-Taylor instability occurs at the interface between light and heavy fluids whenever the heavier fluid is accelerated by the light one. An important issue is the stability conditions of these systems. Various parameters such as density difference between two fluids, density inhomogeneity length, magnetic field, viscosity, collision can affect the stabilization or destabilization of the system. So far, some of these factors have been investigated in the fields of classical and quantum physics. This process has also been studied in both linear and nonlinear states. Here we consider a collisional magnetic inhomogeneous quantum plasma. For the inhomogeneity profile of density as an exponential function, we calculated the second ordinary equation for the disturbed velocity. Since the differential equation does not have an analytical solution, we have calculated the growth rate curve using numerical methods and obtained the disturbed velocity profile in the discontinuity. Then the effects of different parameters such as collision, magnetic field, quantum effects, and density difference of two fluids on the system stabilization are studied. The various branches of the instability growth rate curve and its relationship with the turbulent velocity profile in discontinuity are also discussed.
A novel method for predicting the occurrence of the large-scale shunting in the reverse-polarity plasma torch
Authors: Yin Zhengxin , Yu Deping , Xiao Yu , Zhang Qingbo , Qiu Jier 
Published: February 2023

Abstract
The reverse-polarity plasma torch (RPT) is a promising high enthalpy plasma source for material processing, e.g. plasma atomization for spherical powders and plasma synthesis for the nanostructured carbon. The quality and yield of the final product highly depend on the working stability of the RPT, which may be undermined by the large-scale shunting. Large-scale shunting is an abnormal discharge phenomenon existed in the RPT, which leads to the sudden drop of the arc voltage and shrink of the generated plasma jet. Inter-electrodes between the cathode and anode are designed to limit arc fluctuations and thus large-scale shuntings. However, the construction and maintenance of the RPT with inter-electrodes are highly complex. To alleviate the large-scale shunting and retain the advantage of simple structure of the conventional RPT, a novel method for predicting the occurrence of the large-scale shunting is proposed for optimizing the RPT’s internal structure and operation condition. The method is based on the thermal non-equilibrium modelling of the RPT to calculate the thickness of the cold boundary layer (CBL) and breakdown voltage. Then, the occurrence of the large-scale shunting is predicted by comparing the breakdown voltage with the voltage drop between the electrode inner surface and arc column. Three different shapes of the front electrode (cathode) corresponding to different thicknesses of the cold boundary layer (CBL) were manufactured based on the proposed numerical method. Experimental and numerical studies on the effect of the electrode geometry, arc current and gas flow rate on the working stability of the RPT and thickness of the CBL were conducted. Results showed the quantitative correlations between operating parameters and the instability of the RPT and verified that the proposed numerical method is useful for optimizing the design and operation of the plasma torch with minimizing large-scale shunting instabilities.
Singlet vector-like T quark production in association with Wb at the CLIC
Authors: Yang Bingfang , Wang Shiyu , Sima Xiaoli , Shang Liangliang 
Published: February 2023

Abstract
In a simplified model including an SU(2) singlet vector-like top quark T (VLT) with charge 2/3, we investigate the associated production of Wb with VLT at a Compact Linear Collider (CLIC). Focusing on the T → Wb decay channel, we discuss two decay models:

e

+

e

−

→

T

¯

W

+

b
→
(

l

−

ν

¯

b

¯

)
(
jjb
)

and

e

+

e

−

→

T

¯

W

+

b
→
(
jj

b

¯

)
(

l

+

ν
b
)

. In this paper, we consider recent experimental limits including the electroweak precision observables, the width of the top quark, and the direct LHC searches. Through a detailed detector simulation, we show the exclusion and discovery capability on the T at 3 TeV CLIC, where the initial state radiation effect has also been considered. The results show that it is promising to detect the VLT at future high-energy e
+
e
− colliders.
Energy Management Strategy for Shared Battery Energy Storage Systems Considering Economy and SOC Consistency
Authors: Li Hanning , Li Xiangjun , Chen Dawei , Li Zhicheng , Zhang Weijun , Dong Lizhi , Deng Chaoping 
Published: February 2023

Abstract
in an effort to solve the large fluctuation of renewable energy power generation output, which brings many challenges to power system operation, Battery Energy Storage Systems (BESS) are more and more widespread in power systems. This paper proposes an energy management strategy for shared energy storage power plants. First, the shared energy storage power plants are divided into different PCS unit groups, which trade according to different electricity prices. Secondly, the charging and discharging priorities of PCS unit groups are ranked according to the electricity price to maximize the benefits. At the same time, considering the consistency of system SOC (state of charge), the system has higher stability, and more average battery SOC is conducive to better scheduling of BESS. The trade model of a 100MW shared energy storage power station is built in this paper to verify the effectiveness of this method.
Construction of Battery Health Monitoring System for New Energy Vehicles from a Multi-dimensional Perspective
Authors: Cao Yu , Liang Hongyu , Peng Wenliang , Su Yu 
Published: February 2023

Abstract
With the continuous development of the national economy, new energy vehicles, as eco-friendly and low-carbon transportation tools, are gradually promoted by various countries and societies. Electric vehicles account for the highest proportion of new energy vehicles. Therefore, this study analyzed the battery health monitoring of new energy vehicles. By building a relevant evaluation index system, the paper quantified the battery health status to obtain the healthy life of the battery through the evaluation method. Experimental analysis shows that the method proposed in this study has a certain accuracy and can provide auxiliary decision support for relevant departments.
Research on optimal scheduling of thermal power system in thermal power plant based on deep reinforcement learning
Authors: Wang Pan , Liu Ye 
Published: February 2023

Abstract
Optimal dispatch is one of the key technologies to realize the efficient and economical operation of the thermal power system in thermal power plants. In order to reduce the energy consumption of thermal power system in thermal power plants, ensure the optimal dispatching effect and improve the efficiency of optimal dispatching, this paper introduces deep reinforcement learning to design a new optimal dispatching method for thermal power system in thermal power plants. The thermal power system structure of thermal power plant is analyzed, and the models of boiler, steam turbine and temperature and pressure reducer are established. The optimal scheduling problem of steam turbine and boiler thermal system is studied. By setting the objective function and determining the constraint function, the relevant optimal scheduling model is constructed. The SAC algorithm in deep reinforcement learning is used to solve the model to achieve the important goal of optimal scheduling. The experimental results show that the total fuel consumption of the proposed method is small, and the proposed method has a better optimal scheduling effect of thermal power system in thermal power plants, and can effectively improve the optimal scheduling efficiency.
Well Kill Simulation of Gas Drilling When Drilling into Gas Reservoir
Authors: Gong Peibin , Zhu Huangang , Sun Jiaxiang 
Published: February 2023

Abstract
Aiming at the situation of encountering high-pressure gas reservoir in gas drilling, a well-kill mathematical model is established using multi-flow theory. Then the simulation of bottom hole pressure and casing pressure during well kill is demonstrated under different good kick parameters. The results show that the successful well kill only depends on a reasonable combination of initial casing pressure, kill rate and kill mud density. As the maximum initial casing pressure can be determined, the other two well-kill parameters can be changed. A combination of low kill rate and low kill mud density may lead to a failure in well kill due to the impossibility of forming an annular mud column. A reasonable combination of kill rate and kill mud density can guarantee the success of well kill, which contains two cases. One is that the formation pressure is balanced with no casing pressure after a period of well kill, and the other is the formation pressure can only be balanced with a certain casing pressure. Over-weight kill mud may fracture the formation, which can cause complicated well control risk. This simulation is instructive for the design of well kill in gas drilling.
Prediction Model of Bailing Oil Dynamic Production and Periodic Optimization
Authors: Zhu Jing , Zhang Fuxing , He Jinbao , Tang Li 
Published: February 2023

Abstract
As a production method of low production wells and remote oil wells, bailing oil recovery is particularly important for its reasonable working system. The dimensionless bottom hole flowing pressure is solved by establishing the seepage mechanics equation of infinite homogeneous formation, and the productivity of bailed well is predicted by using the direct relationship between bottom hole flowing pressure and unit flow rate. On this basis, a mathematical model of the net income of bailing wells is established to determine a reasonable bailing period with economic benefits as the goal, and solve the problem that the oil bailing system relies on experience and lacks theoretical guidance.
Optimal Configuration of Composite Energy Storage for Integrated Energy Station in Low-Carbon Park
Authors: Xu Wei , Han Wei , Jin Huaizhang , Bai Yong , Liu Huan 
Published: February 2023

Abstract
Composite energy storage is more effective than single energy storage in stabilizing new energy’s fluctuation and is widely used in the micro-grid. Its capacity allocation strategy is directly related to power supply’s reliability. This paper proposes a study on the optimal allocation of composite energy storage for integrated energy stations in low-carbon parks. Based on the calculation of the battery’s storage capacity and super-capacitor in the integrated energy station of a low-carbon park, the optimization model of composite energy storage capacity is constructed with the power dispatching strategy as the optimization objective. The analysis results of the actual example show that the active power loss of the integrated energy station is reduced by 1. 7 MW after the configuration of the composite energy storage is optimized by this method. The optimization effect is good, which has important value for improving the energy utilization rate of the micro-grid.
Simulation of Gas-water Two-phase Micro-scale Flow in Tight Sandstone Reservoir
Authors: Liu Chenggang , Li Jinhan , Li Yongkai 
Published: February 2023

Abstract
China is rich in tight gas reservoir resources, but the production of tight gas wells is greatly affected by water production. In order to further explore the law of tight gas two-phase flow and improve the recovery ratio of a single well. Based on the Lattice-Boltzmann method (LBM), this paper establishes a gas-water two-phase Lattice-Boltzmann model of tight sandstone reservoir, simulates the micro-scale flow of tight sandstone reservoir, clarifies the occurrence law of gas-water in Production layer, and studies the micro-scale flow mechanism of the tight gas reservoir. The results show that the irreducible water of tight sandstone reservoirs mainly has four modes of occurrence: blocking water, blind pore water, dead-end pore water and adsorbed liquid film. Residual gas mainly exists in rock pore throats in three forms: dead-end pore gas, narrow-throat pore gas and closed gas. At the initial stage of two-phase infiltration flow, the liquid phase exists in the form of an adsorption liquid film, which affects the gas phase flow by reducing the flow area of the gas phase. In the middle and late stages, the liquid phase mainly blocks the throat in the form of droplets, thus affecting the gas phase flow. The tight sandstone reservoir is affected by capillary force, liquid-solid viscosity, pore throat structure and other reasons, which are easy to cause water lock damage and seriously reduce the single well production and recovery ratio of tight gas reservoirs. Fracturing is an effective means to improve the overall seepage capacity of tight reservoir fluid. With the increase of fracture width, continuous liquid films on both sides of the fracture restrict the cross-flow between fracture and matrix, further strengthening the water lock damage of the matrix.
Research on multi-objective optimization of energy power system under low carbon constraints
Authors: He Hui , Wu Kai 
Published: February 2023

Abstract
The optimization of energy saving and application of power system under low carbon constraint is the improvement of energy security theory and economic theory. To realize the optimization of China’s energy structure, develop low-carbon energy, and strengthen the reform of the energy structure, it is conducive to promoting the development of China’s low-carbon economy and achieving the goal of energy conservation and emission reduction. In order to realize the sustainable development of the economy, energy, and environment, a multi-objective optimization study of this paper proposes an energy power system based on low carbon constraints. The multi-objective optimization structure of the energy power system is analyzed, the model assumptions are established, the decision variables are selected, the objective function is set, the constraints are determined, and the multi-objective optimization model of the energy power system under the low-carbon constraints is constructed to realize the multi-objective optimization of the energy power system. It can be seen from the analysis of the optimization results that the use of this optimization model can effectively reduce CO2 emissions, thereby promoting the healthy development of a low-carbon economic system.