bluuebunny/crossref_metadata_2025_split huggingface dataset:
The associative ionization of N(2P) + O(3P)
Authors: Shuman Nicholas S. , Miller Thomas M. , Ard Shaun G. , Viggiano Albert A. 
Published: March 2024

The rate constant of the associative ionization reaction N(2P) + O(3P) → NO+ + e− was measured using a flow tube apparatus. A flowing afterglow source was used to produce an ion/electron plasma containing a mixture of ions, including N2+, N3+, and N4+. Dissociative recombination of these species produced a population of nitrogen atoms, including N(2P). Charged species were rejected from the flow tube using an electrostatic grid, subsequent to which oxygen atoms were introduced, produced either using a discharge of helium and oxygen or via the titration of nitrogen atoms with NO. Only the title reaction can produce the NO+ observed after the introduction of O atoms. The resulting rate constant (8 ± 5 ×10−11 cm3 s−1) is larger than previously reported N(2P) + O disappearance rate constants (∼2 × 10−11 cm3 s−1). The possible errors in this or previous experiments are discussed. It is concluded that the N(2P) + O(3P) reaction proceeds almost entirely by associative ionization, with quenching to the 2D or 4S states as only minor processes.
Experimental characterization of SiCH+via single-photon ionization of gas-phase SiCH
Authors: Chen N. L. , Gans B. , Boyé-Péronne S. , Hartweg S. , Garcia G. A. , Loison J.-C. 
Published: March 2024

SiCH and its cation have consistently emerged as predicted species in models of silicon chemistry within the interstellar medium, although they remain unobserved in space. Hindered by their intrinsic instability, no spectroscopic insights have been gleaned concerning the SiCH+ cation. In this study, we present experimental measurements on the SiCH+ cation through single-photon ionization spectroscopy of the SiCH radical within the 8.0–11.0 eV range. Gas-phase SiCH radicals were generated through chemical reactions involving CHx (x = 0–3) and SiHy (y = 0–3) within a microwave discharge flow-tube reactor. Employing a double imaging photoelectron/photoion coincidence spectrometer on the DESIRS beamline at the SOLEIL synchrotron, we recorded mass-selected ion yield and photoelectron spectra. From the analysis of the photoelectron spectrum supported by ab initio calculations and Franck–Condon simulations, the adiabatic ionization energies for the transitions from the X2Π ground electronic state of SiCH toward the X+3Σ− and A+3Π electronic states of SiCH+ have been derived [8.935(6) and 10.664(6) eV, respectively, without spin–orbit correction]. The contribution from the less stable isomer HSiC has been explored in our analysis and ruled out in our experiments.
Characterizations of vacuum solutions of f(R) − gravity in space-times admitting Z tensor of Codazzi type
Authors: Syied Abdallah Abdelhameed , De Uday Chand , Bin Turki Nasser , Vîlcu Gabriel-Eduard 
Published: March 2024

Abstract
In this work, characterizations of vacuum solutions of f(R)-gravity are established in a space-time whose Z tensor is of Codazzi type. We prove that the associated covector of a (PZS)
n
space-time is an eigenvector of the Ricci tensor, with an eigenvalue equals zero. Additionally, it satisfies compatibility conditions with both the Riemann and Weyl tensors. It is proved that a (PZS)
n
space-time satisfying f(R)-gravity vacuum solutions is a generalized Friedmann-Robertson-Walker space-time. If n = 4, it becomes a Friedmann-Robertson-Walker space-time.
Characterization of plastic scintillator samples produced by a university-SME Collaboration
Authors: Akgün Bora , Öztürk Sertaç , Nurdan Kıvanç , Özcan V Erkcan , Ünel N Gökhan , Kolbaşı Asuman , Elibollar Emre , Ünal Arda , Kandemir Mustafa , Şahin Yağızhan , Kara Burak , Akbulut Zeynep , Koyutürk Cengizhan , Kaçar Hazal Candan , Özkan Sungur , Yüksel Efe Mert 
Published: March 2024

Abstract
Scintillator samples are synthesized by a university-SME collaboration and the light yield, light emission and light transmission properties are studied with the aim of determining the fluor content that gives the highest light yield. Three plastic scintillator samples with different fluor additives are produced and their optical properties are found to be comparable with a high-light-yield EJ-204 reference sample. Amongst the three, the sample with 0.75% PPO + 0.75 %PTP and 0.04% POPOP + 0.04% Bis-MSB provides the highest light yield. The authors plan to use the same fluor additive concentration to produce application-specific scintillators that are not commercially available for nuclear reactor monitoring and medical applications.
Boosting asymmetric measurement-device-independent quantum key distribution via numerical-analysis technology
Authors: Li Zijian , Zheng Bingbing , Zhang Heqian , Zhang Zhenrong , Wei Kejin 
Published: March 2024

Abstract
Asymmetric measurement-device-independent quantum key distribution (MDI-QKD) enables building a scalable, high-rate quantum network with an untrusted relay in real-world scenarios. In this study, we improve the performance of asymmetric MDI-QKD using numerical analysis techniques. Simulation results show a twofold increase in tolerance to basis misalignment compared to the previous state-of-the-art method. Specifically, for instances of substantial basis misalignment, the key rate increases by an order of magnitude, and the maximum communication distance extends by 20 km. Our work significantly enhances the robustness and feasibility of asymmetric MDI-QKD, thereby promoting the widespread deployment of MDI-QKD networks.
Magnetic moments of astrophysical neutrinos
Authors: Kopp Joachim , Opferkuch Toby , Wang Edward 
Published: March 2024

Abstract
We study the impact of neutrino magnetic moments on astrophysical neutrinos, in particular
supernova neutrinos and ultra-high energy neutrinos from extragalactic sources. We show that
magnetic moment-induced conversion of Dirac neutrinos from left-handed states into unobservable
right-handed singlet states can substantially change the flux and flavour composition of these
neutrinos at Earth. Notably, neutrinos from a supernova's neutronisation burst, whose flux can be
predicted with 𝒪(10%) accuracy, offer a discovery reach to neutrino magnetic moments
∼ few × 10-13
μB
, up to one order of magnitude below current limits. For
high-energy neutrinos from distant sources, for which no robust flux prediction exists, we show
how the flavour composition at Earth can be used as a handle to establish the presence of
non-negligible magnetic moments, potentially down to few× 10-17
μB
if the
measurement can be performed on neutrinos from a single source. In both cases, the sensitivity
strongly depends on the galactic (intergalactic) magnetic field profiles along the line of
sight. Therefore, while a discovery is possible down to very small values of the magnetic moment,
the absence of a discovery does not imply an equally strong limit. We also comment on the
dependence of our results on the right-handed neutrino mass, paying special attention to the
transition from coherent deflection by a classical magnetic field to incoherent scattering on
individual scattering targets. Finally, we show that a measurement of Standard Model Dirac
neutrino magnetic moments, of order 10-19
μB
, could be possible under rather optimistic,
but not completely outrageous, assumptions using flavour ratios of high-energy astrophysical
neutrinos.
Bottle-shaped second harmonic generation with adjustable locations
Authors: Hu Xiaokang , Sheng Yan , Zhao Ruwei , Liu Shan , Xu Tianxiang , Chen Feng 
Published: March 2024

Abstract
Nonlinear photonic crystals (NPCs) have been widely used for studying nonlinear wave behaviors and in many applications requiring generation of light at new frequencies. In particular, the nonlinear photonic structures can be smartly designed to facilitate multiple functions in a single crystal. Here we show how to design a two-dimensional NPC to realize bottle-shaped second harmonic generation from a fundamental Gaussian beam with adjustable converging properties. The influences of structural parameters on the bottle beam generation are also investigated. These results are important for playing full potentials of NPCs and provide a convenient way to generate special beam at new frequencies with controllable properties.
On the existence and stability of traversable wormhole solutions with novel shapefunctions in the framework of
F(R,Lm)
gravity
Authors: Chaudhary Sourav , Kumar Jitendra , Maurya S K , Kiroriwal Sweeti , Aziz Abdul 
Published: March 2024

Abstract
In this work, we have explored wormhole (WH) solutions in

F
(
R
,

L

m

)

gravity by assuming the Morris–Thorne WH metric and

F
(
R
,

L

m

)
=

R

2

+
(
1
+
γ
R
)

L

m

, where γ is the free model parameter. We determined the WH solutions by utilizing two newly developed shape functions (SF) that satisfy all basic conditions for a WH’s physical validity. We also observe that the null energy condition (NEC) behaves negatively. Finally, for both models, we use the volume integral quantifier (

V
I
Q

) and Tolman–Oppenheimer–Volkoff (TOV) equation to determine how much exotic matter is needed near the WH throat and the stability of the WH. The extensive detailed discussions of the matter components have been done via graphical analysis. The obtained WH geometries meet the physically acceptable conditions for a stable wormhole.
Astronomical Test with CMOS on the 60 cm Telescope at the Xinglong Observatory, NAOC
Authors: Mu Hai-Yang , Fan Zhou , Zhu Yi-Nan , Zhang Yu , Wu Hong 
Published: March 2024

Abstract
This work shows details of an evaluation of an observational system comprising a complementary metal-oxide-semiconductor detector, 60 cm telescope and filter complement. The system’s photometric precision and differential photometric precision, and extinction coefficients were assessed through observations of Supersky flat fields, open clusters, standard stars and exoplanets. Photometry was precision achieved at the 0.02 mag level, with differential photometry of 0.004 mag precision. Extinction was found to agree with previous studies conducted at Xinglong Observatory. Ultimately, the results demonstrate this observing system is capable of precision scientific observations with a charge-coupled device across the optical wavelengths.
Pulsed interactions unify reaction–diffusion and spatial nonlocal models for biological pattern formation
Authors: Colombo Eduardo H , Martinez-Garcia Ricardo , Calabrese Justin M , López Cristóbal , Hernández-García Emilio 
Published: March 2024

Abstract
The emergence of a spatially organized population distribution depends on the dynamics of the population and mediators of interaction (activators and inhibitors). Two broad classes of models have been used to investigate when and how self-organization is triggered, namely reaction–diffusion and spatially nonlocal models. Nevertheless, these models implicitly assume smooth propagation scenarios, neglecting that individuals interact many times by exchanging short and abrupt pulses of the mediating substance. A recently proposed framework has made advances in properly accounting for these short-scale fluctuations by applying a coarse-graining procedure on the pulse dynamics. In this paper, we generalize the coarse-graining procedure and apply the extended formalism to new scenarios in which mediators influence individuals’ reproductive success or their motility. We show that, in the slow- and fast-mediator limits, pulsed interactions recover, respectively, the reaction–diffusion and nonlocal models, providing a mechanistic connection between them. Furthermore, at each limit, the spatial stability condition is qualitatively different, leading to a timescale-induced transition where spatial patterns emerge as mediator dynamics becomes sufficiently fast.
Experimental research on the thermal performance of the dry conduction plate for multi-point electronic chips
Authors: Zhou Jie , Zhan Dongdong , Qian Jiyu , Wei Tao 
Published: March 2024

Abstract
This paper designs a dry conductive heat dissipation method using several parallel heat pipes to solve the difficulty of the thermal management problem of multi-point electronic chips. The heat sources are distributed along the heat pipe, whose heat is efficiently conducted from the middle to the cold plate on the two sides. The effect of gravity, flow rate, and heat source distributions on the heat transfer performance is studied. The testing data indicated that gravity has less effect on the conduction performance of heat pipes for the cooling on two sides. As the heat sources concentrate in the centre, the heat pipe temperature difference between the centre and the side increases under the same transmission power. The results demonstrated that the two-side cooling and multi-point distribution heat conduction method is conducive to improving the thermal management capability under different inclination angles.
Research on multi-objective parameter optimization of split flow dual flash thermodynamic cycle
Authors: Huang Zheng , Zhang Yanting , Wang Lin , Xu Jingyu , Zheng Yunlong 
Published: March 2024

Abstract
In addition to considering the intermediate pressure variables, the split flow double flash thermodynamic cycle also needs to consider the operating conditions and split flow coefficient of the cycle. Traditional algorithms require too much computation and have a longer response time. Faced with sudden operating conditions or changes in production conditions, it is difficult to quickly re-optimize the intermediate parameters of the split flow double flash thermal cycle and carry out corresponding system control. This article uses intelligent optimization algorithms instead of global search methods to optimize multi-objective parameters in a split flow double flash thermodynamic cycle. By summarizing and analyzing the characteristics of algorithms such as SIO, EA, and ANN, it is believed that the GWO algorithm in the SIO class is the most suitable for multi-objective parameter optimization of the split flow double flash thermal cycle. It is combined with the SA optimization algorithm to propose the SA-GWO algorithm with faster optimization speed and higher optimization accuracy, taking the initial position of the wolf pack as the optimization objective. Combined with the cycle thermodynamic model, a multi-objective parameter optimization model for the split flow double flash thermal cycle is established.
Research on capacity optimization of new energy hybrid energy storage system of high-speed railway
Authors: Li Guangyao , Yuan Jiaxin , Gan Dongliang 
Published: March 2024

Abstract
With the fast expansion of electrified railways, the need for energy is growing. Thus, improving railway coupling and interconnection, new energy, and energy storage is critical to support low-carbon and green railway development. Therefore, this paper proposes an optimal configuration method for the access capacity of wind power generation system (WPGS), photovoltaic power system (PVPS), and hybrid energy storage system (HESS) in the traction power supply system (TPSS) of high-speed railways. Firstly, the HESS’s mathematical model is developed, then the high-speed railway TPSS’s economic optimization operating model is built, and a HESS energy management approach is presented, taking the energy management strategy parameters and model capacity configuration parameters as the optimization variables. The mixed integer linear programming approach is used to resolve the actual example with the least daily operational cost of the high-speed rail system as the optimization goal, and the optimal capacity of WPGS, PVPS, and HESS is obtained. Finally, through comparison and analysis, it is verified that the economic benefit is the highest when the distributed complementary energy system covering WPGS, PVPS, and HESS is connected to the traction substation, and 10.47% of the daily expenditure is saved.
Evaluation method of distributed photovoltaic maximum access capacity based on ADMM
Authors: Wu Zihao , Fan Yujiao , Li Wei 
Published: March 2024

Abstract
With the increasing penetration rate of distributed photovoltaics in the distribution network, new requirements are put forward for the operation and control of distribution networks. In order to ensure that the distribution network can operate stably within a safe range, it is important to evaluate the maximum capacity of the distribution network that can be connected to distributed photovoltaics. Considering the high cost of centralized computing, high communication requirements, and poor reliability, it is difficult to adapt to the actual needs of the distribution network with large-scale access to distributed photovoltaics. Therefore, this paper proposes an ADMM-based distributed PV maximum access capacity evaluation method. This method takes the distributed photovoltaic access capacity and the active power loss of the distribution network line as the objective function and considers the power flow equation constraints, node voltage constraints, and line current carrying capacity constraints of the distribution network. By simplifying the model, the non-convex optimization problem is transformed into a convex quadratic programming problem, and the ADMM algorithm is used to solve the distributed solution to obtain the access strategy of distributed PV in various regions under different operating conditions. Finally, the IEEE-33 system is used as an example to simulate the calculation, and the experimental results verify the correctness and effectiveness of the method.
Study on overvoltage suppression method of phase modulation of hydroelectric generating units and its cooperative optimization in new energy grid
Authors: Xu Weiguang , Wang Jiakun , Ji Supeng 
Published: March 2024

Abstract
When a significant portion of renewable energy is transmitted to the power grid through high voltage direct current, when the monopolar blocking occurs, as a result of the converter station’s filter and reactive power compensation equipment’s influence, overvoltage will be generated, which will cause harm to the new energy station, and even lead to large-scale new energy grid disconnection. This paper initially examines the mechanism behind overvoltage in a new energy power grid and then puts forward a method to restrain overvoltage by using phase modulation operation of hydroelectric generating units. To improve the phase modulation capability of hydroelectric generating units and optimize the utilization of new energy sources, this paper proposes a particle swarm optimization to determine the optimal phase modulation capacity. Finally, this paper builds an example of the PSASP platform to verify the correctness and effectiveness of collaborative optimization.
Short-term PV power prediction study based on FCM-BiGRU
Authors: Yin Pan , Wang Hui , Xiao Jieping , Zhou Weichao , Shao Bowei , Li Wenliang 
Published: March 2024

Abstract

Addressing the issue of large prediction error in short-term load prediction of existing neural network models, this study proposes a short-term load forecasting approach that combines fuzzy C-mean clustering and a two-way gated recurrent neural network model. Fuzzy C-mean clustering is first applied to cluster the original data into three typical days, and the grouped data are trained using a bidirectional gated recurrent neural network model for load prediction. The conclusive experiment demonstrates that the proposed approach introduced in this study exhibits a high prediction accuracy in the context of short-term photovoltaic output forecasting, and there is also a substantial error reduction compared with the existing neural network methods.
Fault diagnosis of building electrical system based on compressed perception theory
Authors: Xie Sijia 
Published: March 2024

Abstract
Building electrical systems in modern buildings are increasingly playing a pivotal role in bringing people the convenience of life, at the same time, the building electrical system will inevitably fail. And the research of intelligent fault diagnosis algorithms for this field is still in its infancy. At this stage, the accuracy and reliability of fault monitoring and diagnosis of most building electrical systems are yet to be improved. Aiming at the current lack of effective diagnosis of faults in the building electrical system, this paper takes the fault situation of the electrical system in the building as the main object of research, and simulates the common building electrical faults through the comprehensive experimental platform of the building electrical, taking into account the problem of low diagnostic efficiency of the building electrical system. This paper puts forward a fault diagnostic algorithm based on the combination of compressed perception and the K-nearest neighbor algorithm, which is aimed at improving the diagnostic efficiency of building electrical system faults. The results show that the proposed fault diagnosis algorithm can not only improve the accuracy of fault classification but also shorten the time of fault classification, which greatly improves the fault diagnosis efficiency.
A method for identifying the operating state of deteriorated insulators based on partial discharge signal reconstruction algorithm and spatial electric field distribution law
Authors: Li Yong , Wang Siqi , Yang Li , Zeng Chen , Wang Ming , Chen Yao 
Published: March 2024

Abstract
In order to improve the accuracy of identifying the working status of degraded insulators and thereby contribute to preventive maintenance and repair, this proposes a method for identifying the operating status of deteriorated insulators based on a partial discharge signal reconstruction algorithm and spatial electric field distribution law. Firstly, the partial discharge signal of the deteriorated insulator is obtained through capacitive sensor technology and clustering analysis algorithm. Then, the mapping features between the partial discharge signal and the electric field distribution are extracted using the SN-EMD algorithm to determine the spatial electric field distribution on the surface of the insulator. Finally, a state recognition model is established based on the hidden Markov model to identify the operating status of deteriorated insulators. The experimental results show that the method designed in this paper has superior performance in terms of accuracy.
Short-term prediction of photovoltaic power generation based on ICEEMDAN-SE-GAPSO-LSTM
Authors: Wu Shuai , Jiang He , Gao Qingzhong 
Published: March 2024

Abstract
This study proposes an improved adaptive noise-complete ensemble empirical mode decomposition (ICEEMDAN), sample entropy (SE), and genetic particle swarm optimization (GAPSO) algorithm-based short-term solar power forecast model. The photovoltaic power data is first decomposed using the ICEEMDAN algorithm to produce a number of eigenmode components with various properties. The sample entropy of each component is then calculated, and the components with similar sample entropy values are combined to create new modal components. These new modal components are then input into the GAPSO-optimized LSTM model for prediction, and the prediction results of each component are summed and reconstructed to produce the final prediction. The results completely validate the efficacy and dependability of the suggested method, using the measured data from a photovoltaic power station in Xinjiang, China as an example.