bluuebunny/crossref_metadata_2025_split huggingface dataset:
Vibrational relaxation of HOD by collisions with Ar atoms
Authors: Butkovskaya N. I. , Setser D. W. 
Published: August 2024

Vibrational relaxation of HOD(v12, v3) molecules by collisions with Ar was studied at 298 K (v12 denotes coupled bending, v2, and OD stretching, v1, vibrational modes and v3 denotes OH stretching mode). The vibrationally excited HOD molecules were generated by exothermic abstraction reactions of OD radicals with 13 different RH reactants and observed by infrared emission from a fast-flow reactor as a function of Ar pressure and reaction time. State-specific relaxation rate constants were obtained by comparison of the time evolution of the experimental vibrational distributions with numerical kinetic calculations for vibrational populations. The relaxation mechanism was based on the relaxation scheme of H2O studied earlier with the addition of specific channels for HOD(v12, v3). Unlike H2O, energy in stretching and bending vibrations of HOD cannot be separated due to close ν1 and 2ν2 energies, which leads to fast collisional equilibration between these Fermi-resonant levels. For relaxation of the only pure bending state (10), a rate constant of (1.5 ± 0.3) × 10−13 cm3 molecule−1 s−1 was obtained. The relaxation rate of higher v12 states linearly increases with quantum number and very likely includes transfer of population from OD stretch levels, v1, to a lower energy bend level. The average rate constants for the loss of population from (01), (02), and (03) stretching states are (1.1 ± 0.3) × 10−14, (3.2 ± 1.0) × 10−14, and (5.6 ± 1.2) × 10−14 cm3 molecule−1 s−1, respectively.
Identifying divertor detachment using a machine learning model trained on divertor camera images from DIII-D
Authors: Victor B. S. , Scotti F. 
Published: August 2024

This paper describes the application of a machine learning (ML) algorithm using a convolution neural network, first developed in Boyer et al. [“Classification and prediction of detachment in DIII-D using neural networks trained on C III imaging,” Nucl. Fusion (submitted) (2024)], to detect divertor detachment in DIII-D. Detachment detection is based on images from tangentially viewing upper and lower filtered divertor cameras that measure CIII emission at 465 nm. Separate ML models are developed for lower single null and upper single null configurations with mostly closed divertor shapes. Due to the viewing angle and divertor geometry, camera images of the upper divertor show a stark contrast in CIII emission between attached and detached conditions and the model identified detachment with 100% accuracy in the test dataset. For the lower divertor images, the contrast between attached and detached conditions is lower and the model identifies detachment with 96% accuracy. This ML model will be applied to the image data after each shot to provide a rapid assessment of divertor detachment to aid operation of DIII-D with the potential extension to other devices in the future.
Multilayer Ge8Sb92/Ge2Sb2Te5 thin films: unveiling distinct resistance states and enhanced performance for phase change random access memory
Authors: Liu Liu , Li Anding , Chen Yukun , Liu Ruirui , Xu Jiayue , Zhai Jiwei , Song Zhitang , Song Sannian 
Published: August 2024

Abstract
This study investigates the phase-change properties of [Ge8Sb92 (25 nm)-Ge2Sb2Te5 (25 nm)]1 multilayer thin films, elucidating three distinct resistance states originating from two structural transitions: initial Sb precipitation and Ge2Sb2Te5-FCC crystallization, followed by Ge2Sb2Te5-FCC to Ge2Sb2Te5-HEX transformation with additional Sb precipitation. The phase transitions induce two abrupt changes in resistance at temperatures of 169.8 °C and 197.7 °C, respectively, with corresponding data retention temperatures of 97 °C and 129 °C, indicating robust thermal stability. The [Ge8Sb92 (25 nm)-Ge2Sb2Te5 (25 nm)]1-based phase change random access memory (PCRAM) device demonstrates reversible switching characteristics and multi-level storage capabilities within 20 ns, showcasing enhanced phase-change speed and storage density. In summary, [Ge8Sb92(25 nm)-Ge2Sb2Te5(25 nm)]1 demonstrates enhanced thermal stability, swift phase transition, and increased storage density relative to conventional Ge2Sb2Te5, establishing it as a promising new phase-change material for PCRAM applications.
Theoretical insights into the structures and fundamental properties of pnictogen nitrides
Authors: Wang 王 Jingjing 晶晶 , Kong 孔 Panlong 攀龙 , Zhang 张 Dingmei 定梅 , Gao 高 Defang 德芳 , Jiang 蒋 Zaifu 再富 , Dai 戴 Wei 伟 
Published: August 2024

Abstract
Recent experimental advancements reported a chemical reaction between antimony and nitrogen under high temperature and high pressure, yielding crystalline antimony nitride (Sb3N5) with an orthorhombic structure. Motivated by this statement, we calculate the stability, elastic properties, electronic properties and energy density of the Cmc21 structure for pnictogen nitrides X
3N5 (X = P, As, Sb, and Bi) using first-principles calculations combined with particle swarm optimization algorithms. Calculations of formation enthalpies, elastic constants and phonon spectra show that P3N5, As3N5 and Sb3N5 are thermodynamically, mechanically and kinetically stable at 35 GPa, whereas Bi3N5 is mechanically and kinetically stable but thermodynamically unstable. The computed electronic density of states shows strong covalent bonding between the N atoms and the phosphorus group atoms in the four compounds, confirmed by the calculated electronic localization function. We also calculate the energy densities for Sb3N5 and find it to be a potentially high-energy-density material.
Probing nickelate superconductors at atomic scale: A STEM review
Authors: Lei 雷 Yihan 一涵 , Wang 王 Yanghe 扬河 , Song 宋 Jiahao 家豪 , Ge 葛 Jinxin 锦昕 , Wu 伍 Dirui 迪睿 , Zhang 张 Yingli 英利 , Li 黎 Changjian 长建 
Published: August 2024

Abstract
The discovery of nickelate superconductors, including doped infinite-layer (IL) nickelates RNiO2 (R = La, Pr, Nd), layered square-planar nickelate Nd6Ni5O12, and the Ruddlesden–Popper (RP) phase La3Ni2O7, has spurred immense interest in fundamental research and potential applications. Scanning transmission electron microscopy (STEM) has proven crucial for understanding structure–property correlations in these diverse nickelate superconducting systems. In this review, we summarize the key findings from various modes of STEM, elucidating the mechanism of different nickelate superconductors. We also discuss future perspectives on emerging STEM techniques for unraveling the pairing mechanism in the “nickel age” of superconductivity.
Spectroscopic Observations of Ten Galactic Wolf–Rayet Stars at Bosscha Observatory: Determination of Stellar Parameters and Mass-loss Rates
Authors: Malasan Hakim Luthfi , Setyo Budi Bakuh Danang 
Published: August 2024

Abstract
We present optical spectra of 10 Galactic Wolf–Rayet (WR) stars that consist of five WN and five WC stars. The optical observation was conducted using a low-resolution spectrograph NEO-R1000 (λ/Δλ ∼ 1000) at GAO-ITB RTS (27.94 cm, F/10.0), Bosscha Observatory, Lembang. We implemented stellar atmosphere Postdam Wolf–Rayet (PoWR) grid modeling to derive stellar parameters. The normalized optical spectrum can be used to find the best model from the available PoWR grid, then we could derive stellar temperature and transformation radius. To derive luminosity, stellar radius and color excess, we conducted a Spectral Energy Distribution (SED) analysis with additional data on the near-ultraviolet spectrum from the International Ultraviolet Explorer (IUE) database, and UBV and 2MASS JHK broadband filter data. Additional analysis to derive asymptotic terminal wind velocity was conducted from the P-Cygni profile analysis of the high-resolution IUE ultraviolet spectrum. With previously derived parameters, we could determine the mass loss rate of the WR stars. Furthermore, we compared our results with previous work that used PoWR code and the differences are not more than 20%. We conclude that the PoWR spectral grid is sufficient to derive WR stellar parameters quickly and could provide more accurate initial parameter input to the PoWR program code.
Optimization of mobile emergency resource scheduling after power grid failure based on real-time traffic flow
Authors: Liu Tianze , You Yang , Li Wanyuan , Liu Xinli , Pan Song , Yuan Ting 
Published: August 2024

Abstract
Given the increasing threat of reliability challenges in new energy networks from frequent natural disasters, our study focuses on the tactical placement of mobile emergency assets. We introduce an advanced scheduling model tailored for mobile emergency resources within traffic networks, taking into account the dynamic state of traffic flow. Our main goal is to enhance travel time efficiency for crucial vehicles. Through this approach, we devise a strategy for emergency resource allocation, covering both the path and schedule for deploying mobile emergency assets. This approach is designed to mitigate traffic congestion, thereby enhancing the efficiency and reliability of power grid fault remediation. The efficacy of our proposed model is substantiated through a case study involving a 12-node traffic network, demonstrating its potential to improve disaster response measures significantly.
Research on performance optimization and application scenarios of grid-following converter based on anti-windup control strategy
Authors: Zhang Jie , Chen Junru , Si Wenjia 
Published: August 2024

Abstract
With the widespread application of power electronic devices in the power system, the impact of grid-following converters (GFL) on system stability continues to increase. The PI controller, as a crucial component in GFL, influences both the phase-locked loop (PLL) tracking accuracy and the performance of the GFL. During grid faults, the PI controller often experiences integral windup, leading to the accumulation of integral errors and deterioration of the performance of the GFL. In response to this issue, the anti-windup PI controller has been proposed and applied to the PLL of the GFL to improve its tracking accuracy. Initially, the grid-connected control system model for the GFL was established, and a structure employing the anti-windup PI controller for the GFL was introduced. Subsequently, an analysis of the influence of grid impedance on the anti-windup PI controller was conducted to determine the applicable scenarios for the anti-windup GFL. Finally, the accuracy of the theoretical analysis was verified through MATLAB simulations.
Study of blade moment calculation on variable geometry turbine adjusting mechanism
Authors: Zhong Yan , Chen Liangyu , Qin Yu , Yuan Fei , Wang Lei , Han Bing , Bai Haoxi , Li Zhuang , Lv Ming , Yan Zhuo 
Published: August 2024

Abstract
In recent years, the layout of rotary instructing leaves in mutable loop worm wheels has been a research hotspot. The rotary instructing leaves are subjected to the action of hyperthermal and nippy airstream and the influence of frictional force on the spin axis. For the rotary instructing leaves, the combined action of hyperthermal and nippy airstream generates an aerodynamical moment, while frictional force generates a frictional moment. When the rotary instructing leaves rotate, the aerodynamical moment and frictional moment constantly change as the angular motion of the blades. This research is rare, and there is no mature case for reference. The article applies fluid-structure coupled heat transfer and software programming to seek the blade moment. During the process of blade angular motion from -10° to +10°, the total moment of the blade earlier rises and afterward falls. When the blade angular position is -2°, the total moment runs to vertex 3.74489 N·m. Test data from the exploration laboratory have validated this conclusion. The maximum deviation compared to the test data of the exploration laboratory is 4.562%. The aerodynamical and frictional moments are momentous indicators for mutable loop worm wheel study. They can offer physical references for the mutable loop design of a turbo. The paper can also offer a new method for the blade moment calculation. This is important sense for the innovation of mutable cyclic worm wheels.
Predictive control of dual three-phase motor model based on harmonic suppression
Authors: Wang Xiangjun , Wei Haifeng 
Published: August 2024

Abstract
The traditional model predicts that the dual-three-phase motor is controlled by 12 synthesized virtual voltage vectors, and the suppression effect of harmonic current is average. In this paper, a harmonic suppression control method is proposed to realize the suppression of harmonic current, and then reduce the harmonic loss. At the same time, the calculation of the control quantity at the next time is carried out, the value function corresponding to each vector is calculated, and the optimal vector is determined by traversal optimization.
An open-circuit fault diagnosis method for PMSM drive system based on multi-branch 1D-CNN
Authors: Zhang Ye , Zhang Niaona , Zhang Yilei 
Published: August 2024

Abstract
In this paper, a fault diagnosis method based on multi-branch one-dimensional convolutional neural network (1D-CNN) is proposed for the open-circuit fault of the inverter IGBT and current sensor in permanent magnet synchronous motor (PMSM) drive system. Firstly, to avoid adding additional sensors, a three-phase current acts as a highly responsive signal for fault detection. Secondly, a multi-branch 1D-CNN diagnosis model is built to solve the complexity and uncertainty problems caused by traditional artificial feature extraction and selection. Then, the residual connection is introduced into the diagnostic model to alleviate the disappearance of the network gradient and accelerate the convergence speed. Finally, the three-phase current is directly input into the model for training and classification. The test results show that the method can identify the open-circuit fault of the IGBT and current sensor within the sample length of a fundamental cycle, and the accuracy rate is 99.84%. Compared with other traditional machine learning methods, it has been proven to have higher diagnostic accuracy and good anti-noise ability.
Study on the indoor mobile robot localization based on multi-sensor fusion
Authors: He Guobao , He Qianen 
Published: August 2024

Abstract
In recent years, mobile robots have found extensive application across diverse sectors including industry, agriculture, healthcare, and defense. However, relying solely on a single sensor for mobile robot localization presents several challenges, such as limited accuracy, divergence of localization errors over time, and susceptibility to obstruction from obstacles. This paper proposes an indoor mobile robot localization algorithm assisted by Ultra-Wideband (UWB). The algorithm begins by calculating the credibility of the Line-of-Sight (LOS) environment using UWB ranging measurements and predicted distances, enabling the identification of the Non-Line-of-Sight (NLOS) environment. Subsequently, ranging measurements affected by NLOS errors are compensated by using a complementary filter. Finally, these measurements are utilized for Extended Kalman Filter updates to achieve the best estimation of the mobile robot’s position. Field tests are conducted on a wheeled robot to validate the effectiveness and performance of the developed approach. Results show that the localization approach reduces the maximum localization error from 41 cm to 19 cm compared to UWB trilateration, achieving a 53.7% improvement. Even under a prolonged NLOS environment, the algorithm ensures that the localization error remains below 25 cm. The proposed method is of significant merit in solving the challenge of indoor mobile robot localization.
Classification of highly permeable distributed photovoltaic clusters considering comprehensive indicators
Authors: Zhang Xueyu , Lu Xiaojuan 
Published: August 2024

Abstract
A cluster partitioning method is proposed to address the issues of overvoltage and power flow reversal caused by the integration of high penetration distributed photovoltaic power sources into the distribution network, as well as the problems of long transmission distance, too many transformation devices, and immature technology brought about by centralized photovoltaic integration. This method considers both the system’s structural and functional characteristics. Firstly, the structural indicators adopt improved modularity indicators. In contrast, the functional indicators adopt cluster active and reactive power balance and node membership indicators, constructing an optimization model for the comprehensive indicator system. Secondly, to fully demonstrate the expression of the indicator system model, some improvements have been made to the traditional genetic algorithm, and the adjacency matrix has been established as the encoding method of the algorithm. Finally, an improved IEEE33 node and a 10kV actual distribution network in a certain area were analyzed and verified as examples. The simulation results show that the proposed cluster partitioning method improves power balance by more than 30% while ensuring minimal changes in modularity, indicating that the method has certain effectiveness in cluster partitioning.
Parametric design research of large-scale high-speed shaft system detection device based on solidworks
Authors: Xu Minggang , Ma Mingyue , Wang Zhe , Liu Zuhuang 
Published: August 2024

Abstract
In order to shorten the design cycle and facilitate the operation of design personnel, a parametric design system for large-scale high-speed shaft system detection devices was developed based on SolidWorks. The parametric design method was employed for the secondary development of SolidWorks, utilizing the software platforms SolidWorks 2018 and Microsoft Visual Studio 2019. The system was created using the VB.NET programming language, establishing a user-friendly human-machine interface window. This system achieved three-dimensional model parametric design, automatic generation of engineering drawings, and automated assembly. Finally, taking a custom model of a large-scale high-speed shaft system detection device as an example, the efficiency of the design system modeling and the intuitiveness of the design were validated.
Digital twin and hardware-in-the-loop based robotic arm modelling simulation
Authors: Zhang Xingmin , Dong Zhe , He Jiahuan 
Published: August 2024

Abstract
Aiming at a series of problems such as high testing cost, complex testing scenarios, and low testing efficiency in the testing of control algorithms for robotic arms, this paper proposes a method using semi-physical simulation technology combined with digital twin technology to solve this problem. Based on the V-model development process, the robotic arm control algorithm is designed, and the control effect is verified on the twin model. The extreme working condition test of the robotic arm controller is performed on the virtual test bench to achieve continuous algorithm optimization, verification, and iteration.
Design and simulation of low-ripple dual active bridge DC-DC converter
Authors: Luo Tuo , Jiang Pinqun , Huang Guoxian , Lin Dong 
Published: August 2024

Abstract
In addressing the issue of excessive high-frequency current ripple at the output port caused by high-frequency switching in traditional dual active bridge DC-DC converters, a low-ripple dual active bridge DC-DC converter was designed by replacing its switching devices with a half-bridge submodule. This converter constructs a decoupling loop for alternating and direct current components on the bridge arms, allowing the alternating components to form a loop between the bridge arms without entering the direct current port, thereby eliminating high-frequency current ripple at the direct current output port. Consequently, the filtering capacitors parallel to the direct current port can be omitted, while also suppressing direct current fault currents. Due to the inherent capacitance structure of the submodule switching devices, soft-switching characteristics are preserved, and conversion efficiency is not compromised. Simulation results based on a MATLAB/Simulink model of 750 V and 10 kW demonstrate that the ripple of this converter is less than 0.07%, a 90% reduction compared to traditional converters, and effectively suppresses fault currents, thereby enhancing system safety.
Scheduling twin-cluster tools for complete concurrent processing with wafer residence time constraints
Authors: Zhou Hao , Pan Chunrong 
Published: August 2024

Abstract
With the requirements of physical vapor deposition and chemical vapor deposition processes, twin-cluster tools are widely used in the current wafer fabrication. Cycle scheduling ensures that wafers have the same quality, however, twin-cluster tools involve resource coordination between two tools, which makes cycle scheduling more sophisticated. A steady-state cycle scheduling problem of twin-cluster tools with a complete concurrent processing module is studied, considering the wafer residency time constraints. First, a Petri net model is constructed to describe the process of twin-cluster tools under a steady state with the wafer residency time constraints and the complete concurrent processing module, and a control strategy is proposed to avoid the system deadlock. The sufficient conditions for the system to reach the highest efficiency are obtained by analyzing the workload of the processing module and the robot task, and an algorithm is developed to obtain the robot schedule. Finally, examples are verified about the effectiveness of the algorithms.
Research on ballistic protection characteristics of perforated plates made of different steel materials for 12.7 mm penetrator projectile
Authors: Shi Anshun , Hong Xiaowen , Han Hongwei , Xia Kailang , Fan Xuefei , Qin Chao , Sun Sujie 
Published: August 2024

Abstract
To compare the ballistic protection characteristics of perforated plates made of different steel materials against 12.7 mm perforating ammunition, the ballistic gun, light curtain velocity measurement system, and high-speed camera were used to study its ballistic performance, and the ballistic protection, perforated plate damage area, core fracture and core deflection characteristics of perforated plates made of different armor steel materials were compared. The results show that the ballistic protection performance of C-2 and H-1 perforated plates is better than that of C-1 and C-3 perforated plates, the protection performance of C-1 and C-3 is equivalent, and the protection coefficient of H-1 can reach or even exceed that of C-2. The hole damage area of an H-1 perforated plate is larger than that of a circular perforated plate, and the number of bullet core fractures is more, but its crack arrest performance is poor. The damage area of a single interconnection hole in perforated plates of different armor steel materials meets the linear relationship, and its linear slope can characterize the degree of hole loss. The damage of a single interconnection hole with hexagonal holes is greater than that of perforated plates with circular holes. At the same time, the projectile deflection angle of perforated plates made of different armor steel materials also conforms to the linear relationship, and the fitting linear slope can measure the degree of core deflection. The higher the hardness of perforated plates with circular holes, the greater the core deflection, while the degree of core deflection of hexagonal holes is greater than that of perforated plates with circular holes.