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Dynamic Analysis of Uniformity and Difference for Grid-following and Grid-forming Voltage Source Converters Using Phasor and Topological Homology Methods

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Journal of Modern Power Systems and Clean Energy 2025年第1期13卷 3-14页

作者： Haiyu Zhao Hongyu Zhou Wei Yao Qihang Zong Jinyu Wen State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronics EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Grid-following voltage source converter(GFLVSC)and grid-forming voltage source converter(GFM-VSC)have different dynamic characteristics for active power-frequency and reactive power-voltage supports of the power *** paper aims to clarify and recognize the difference between gridfollowing(GFL)and grid-forming(GFM)frequency-voltage support more intuitively and ***,the phasor model considering circuit constraints is established based on the port circuit equations of the *** is revealed that the voltage and active power linearly correspond to the horizontal and vertical axes in the phasor space referenced to the grid voltage ***,based on topological homology,GFL and GFM controls are transformed and mapped into different *** topological similarity of the characteristic curves for GFL and GFM controls is the essential cause of their *** on the above model,it is indicated that GFL-VSC and GFM-VSC possess uniformity with regard to active power response,type of coupling,and phasor *** differ in synchronization,power coupling mechanisms,dynamics,and active power-voltage operation domain in the quasi-steady *** studies are undertaken on GFL-VSC and GFM-VSC integrated into a four-machine two-area *** results verify that the dynamic uniformity and difference of GFL-VSC and GFM-VSC are intuitively and comprehensively revealed.

关键词： Renewable energy grid-following converter grid-forming converter phasor method topological homology

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Improvement and correction for transverse emittance diagnosis based on Q-scanning techniques

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Nuclear Science and Techniques 2025年第3期36卷 1-11页

作者： Yi-Feng Zeng Hao Hu Tong-Ning Hu State Key Laboratory of Advanced Electromagnetic Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhan 430074China

Precise transverse emittance assessment in electron beams is crucial for advancing high-brightness beam *** opposed to intricate methodologies that use specialized devices,quadrupole focusing strength scanning(Q-scanning)techniques offer notable advantages for various injectors owing to their inherent convenience and ***,their stringent approximation conditions lead to inevitable errors in practical operation,thereby limiting their widespread *** study addressed these challenges by revisiting the analytical derivation procedure and investigating the effects of the underlying approximation *** corrections were explored through a combination of data processing analysis and numerical ***,based on theoretical derivations,virtual measurements using beam dynamics calculations were employed to evaluate the correction *** experimental validations were performed at the Huazhong University of Science and technology injector to verify the effectiveness of the proposed compensation *** the virtual and experimental results confirm the feasibility and reliability of the enhanced Q-scanning-based diagnosis for transverse emittance in typical beam injectors operating under common *** the integration of these corrections and compensations,enhanced Q-scanning-based techniques emerge as promising alternatives to traditional emittance diagnosis methods.

关键词： Beam diagnostics Transverse emittance Q-scanning technique Beam injector

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Temperature fields prediction for the casting process by a conditional diffusion model

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China Foundry 2025年第2期22卷 139-150页

作者： Jin-wu Kang Jing-xi Zhu Qi-chao Zhao School of Materials Science and Engineering Key Laboratory for Advanced Materials Processing TechnologyTsinghua UniversityBeijing 100084China

Deep learning has achieved great progress in image recognition,segmentation,semantic recognition and game *** this study,a latest deep learning model,a conditional diffusion model was adopted as a surrogate model to predict the heat transfer during the casting process instead of numerical *** conditional diffusion model was established and trained with the geometry shapes,initial temperature fields and temperature fields at t_(i) as the condition and random noise sampled from standard normal distribution as the *** output was the temperature field at t_(i+1).Therefore,the temperature field at t_(i+1)can be predicted as the temperature field at t_(i) is known,and the continuous temperature fields of all the time steps can be predicted based on the initial temperature field of an arbitrary 2D geometry.A training set with 3022D shapes and their simulated temperature fields at different time steps was *** accuracy for the temperature field for a single time step reaches 97.7%,and that for continuous time steps reaches 69.1%with the main error actually existing in the sand *** effect of geometry shape and initial temperature field on the prediction accuracy was investigated,the former achieves better result than the latter because the former can identify casting,mold and chill by different colors in the input *** diffusion model has proved the potential as a surrogate model for numerical simulation of the casting process.

关键词： diffusion model U-Net casting simulation heat transfer

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Co@C-N as an electronic mediator anchored with Cu2O nanoparticles enables efficient photoreduction of CO2 to CO with nearly 100% selectivity

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Science China Chemistry 2025年第5期68卷 2160-2169页

作者： Xingbin Pan Xiuzheng Deng Jingshan Fan Jiangchuan Liu Changhai Liu Zhongyu Li Qian Liang Jiangsu Key Laboratory of Advanced Catalytic Materials and Technology CNPC-CZU Innovation AllianceSchool of Petrochemical EngineeringChangzhou University School of Materials Science & Engineering Changzhou University

Solar-driven CO2conversion into value-added chemical provides an attractive strategy for sustainable ***,the enhanced CO2photoreduction performance with target product selectivity remains a major ***,we develop a novel strategy involving Cu2O nanoparticles in situ grown on the surface of ZIF-67-derived Co@C-N nanocages（CC） to create abundant active sites and appropriate heterointerfaces.A remarkable CO selectivity of 95.7% with a yield of 117.39 μmol g-1h-1and an apparent quantum efficiency as high as 1.88% at 420 nm was obtained over CC-60 catalyst in pure water,which was 87.6 times higher than that of pure *** calculations and experiments indicated that Co@C-N nanocages as charge mediator not only rapidly trap photogenerated electrons to promote charge separation efficiency,but also regulate the d-band center of Cu atoms to move to the Fermi energy level,thereby optimizing the reaction kinetics to facilitate the highly selective conversion of the key intermediate*CO desorption to CO.

关键词： Co nanocage electronic mediator interface regulation photocatalytic CO2 reduction high selectivity

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Multi-Scale Time Series Segmentation Network Based on Eddy Current Testing for Detecting Surface Metal Defects

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IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 528-538页

作者： Xiaorui Li Xiaojuan Ban Haoran Qiao Zhaolin Yuan Hong-Ning Dai Chao Yao Yu Guo Mohammad S.Obaidat George Q.Huang the School of Intelligence Science and Technology University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering the Key Laboratory of Intelligent Bionic Unmanned Systems and the Institute of Materials Intelligent Technology Liaoning Academy of Materials IEEE the Department of Computer Science Hong Kong Baptist University the School of Computer and Communication Engineering Key Laboratory of Advanced Materials and Devices for Post-Moore Chips Ministry of Education University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing the School of Computer and Communication Engineering University of Science and Technology Beijing the King Abdullah Ⅱ School of Information Technology The University of Jordan the Department of Computational Intelligence the School of Computing SRM University the School of Engineering The Amity University The Hong Kong Polytechnic University

In high-risk industrial environments like nuclear power plants, precise defect identification and localization are essential for maintaining production stability and safety. However, the complexity of such a harsh environment leads to significant variations in the shape and size of the defects. To address this challenge, we propose the multivariate time series segmentation network(MSSN), which adopts a multiscale convolutional network with multi-stage and depth-separable convolutions for efficient feature extraction through variable-length templates. To tackle the classification difficulty caused by structural signal variance, MSSN employs logarithmic normalization to adjust instance distributions. Furthermore, it integrates classification with smoothing loss functions to accurately identify defect segments amid similar structural and defect signal subsequences. Our algorithm evaluated on both the Mackey-Glass dataset and industrial dataset achieves over 95% localization and demonstrates the capture capability on the synthetic dataset. In a nuclear plant's heat transfer tube dataset, it captures 90% of defect instances with75% middle localization F1 score.

关键词： Eddy current testing nondestructive testing semantic segmentation time series analysis

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Rapid system prototype-based physical simulation platforms for power systems with high penetration of inverter-based resources

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High Voltage 2025年第1期10卷 3-16页

作者： Wei Yao Yimin Ruan Yuying Chen Hongyu Zhou Jinyu Wen Meng Zhou Wenping Zuo State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic EngineeringHuazhong University of Science and TechnologyWuhanChina GridMind Technology(Wuhan)Co. LtdWuhanChina

The traditional power system dominated by synchronous generators is gradually evolving into a power system with high penetration of inverter-based resources(IBRs).In this paper,the new characteristics that arise from the high penetration of IBRs in power systems are *** light of these characteristics,current simulation technologies are inadequate and new requirements for the simulation platforms have been *** response,this paper introduces the rapid system prototype(RSP)-based physical simu-lation platforms,which include the digital simulator,the rapid prototype controller,and the rapid object-controlled *** addresses the time-consuming and labour-intensive shortcomings of traditional simulation techniques and meets the rapid evolu-tion needs of the power system with high penetration of *** with existing simulation platforms,RSP is a more suitable platform for the physical simulation of power systems with high penetration of *** the modular multilevel converter-based high-voltage direct current as a case study,a novel physical simulation platform for power systems based on RSP is *** results demonstrate that the RSP concept and technology can establish an enterprise-level simulation environment and engineering practice ***,it can provide realistic and flexible simu-lations of various characteristics of power systems with high penetration of IBRs.

关键词： system power inverter

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Excellent high-temperature strength of(HfZrTiTaNb)C high-entropy carbide diffusion-bonded joint via in-situ alloying of Ni/Nb/Ni composite interlayer

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Journal of advanced Ceramics 2025年第1期14卷 127-133,136-139页

作者： Ruijie Mu Ying Wang Shiyu Niu Kongbo Sun Zhenwen Yang Tianjin Key Laboratory of Advanced Joining Technology School of Materials Science and EngineeringTianjin UniversityTianjin 300350China Key Laboratory of Advanced Ceramics and Machining Technology Ministry of EducationTianjin 300350China

To obtain high-entropy carbide(HEC)joints with excellent high-temperature performance,a(HfZrTiTaNb)C HEC joint featuring a direct diffusion-bonded interface with a Nb-based interlayer was successfully fabricated at relatively low temperatures of 1150–1250℃for 60 min under 10 *** from a modified Ni/Nb/Ni composite interlayer with a Nb content of>64 at%,an alloyed Nb_(2)Ni layer was constructed in situ by accelerating the directional diffusion of Ni atoms from the high-entropy interface into the remaining pure Nb through the Ni‒Nb eutectic ***,the excess liquid phase was squeezed out of the bonding region,ensuring the absence of Ni-based *** the intrinsic interfacial stability and sluggish diffusion effect,the HEC with its original lattice structure,was capable of developing diffusion bonding with the Nb_(2)Ni layer instead of interacting with the liquid *** high reliability of the HEC/Nb_(2)Ni bonded interface was confirmed by the coherence of(11¯3)_(HEC)//(141)_(Nb_(2))Ni and a calculated lattice misfit of *** HEC joint had a high room-temperature strength of 174 MPa because of the homogenous Nb_(2)Ni layer,which exhibited nanohardness(15.2±1.5 GPa)and an elastic modulus of 219.9±17.5 ***,the strength of the HEC joint did not decrease at 1000℃,increasing by~49%over that of HEC/Ni/HEC diffusion-bonded joints,which have stringent surface flatness *** suggested that the HEC/Nb_(2)Ni interface had excellent resistance to high-temperature softening,even though it was invariably the initial failure *** work is informative for designing bonding structures and preparing HEC components.

关键词： high-entropyceramic diffusion bonding in situ alloyed interlayer mechanical properties

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Electrochemical sensor for dopamine detection based on multiwalled carbon nanotube/molybdenum disulfide quantum dots with machine learning integration and anti-interference capability

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Tungsten 2025年第1期7卷 137-151页

作者： Geethukrishnan Onkar Apte Kiran Kumar Tadi Energy Electrodics and Electrocatalysis (EEE) Lab Department of Chemistry School of Advanced Sciences Vellore Institute of Technology School of Computer Science and Engineering Vellore Institute of Technology

The precise detection and measurement of dopamine（DA）,a crucial neurotransmitter in the human body,plays a significant role in diagnosing,preventing,and treating neurological diseases associated with its levels.A highly sensitive DA electrochemical sensor was constructed by combining molybdenum disulfide quantum dots（MSQDs） with multiwalled carbon nanotubes（MWCNTs）.The MSQDs were synthesized using the shear exfoliation *** sensors consist of MSQDs with Mo-S edge catalytic centers for the DA redox reaction,and MWCNTs amplify the sensor *** linearity of the sensor for the detection of DA was tested in the presence of ascorbic acid(AA,50 μmol·L-1) and uric acid(UA,200 μmol·L-1),and exhibited linearity from 2 to 966 μmol·L-1of DA with 0.097 μA(mol·L-1)-1sensitivity and a low limit of detection of0.6 μmol·L-1（the ratio between signal and noise,S/N=3）.Moreover,the sensitivity and selectivity of the sensor were also studied using *** is no increase in amperometric current after adding the most potentially interfering *** sensor was successfully applied to recover DA in human blood sera ***,machine learning algorithms were operated to aid in the near-precise detection of DA in the heterogeneous mixture containing AA and *** algorithms facilitate the identification and quantification of DA amidst coexisting interferents,including AA,that are commonly present in biological matrices.

关键词： Dopamine MoS_2 Biosensor Multiwalled carbon nanotubes Machine learning Complex mixture

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Ultrafast Laser Irradiation Induced Oxidation of Dopant-Free Spiro-OMeTAD for Improving the Perovskite Solar Cells Performance

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Energy & Environmental Materials 2025年第2期8卷 288-294页

作者： Jiaqi Meng Xiangyu Chen Weihan Li Nianyao Chai Zhongle Zeng Yunfan Yue Fengyi Zhao Xuewen Wang Center of Femtosecond Laser Manufacturing for Advanced Materials and Devices State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology School of Materials Science and Engineering Wuhan University of Technology International School of Materials Science and Engineering Wuhan University of Technology National Energy Key Laboratory for New Hydrogen-Ammonia Energy Technologies Foshan Xianhu Laboratory

The exceptional photoelectric performance and high compatibility of perovskite materials render perovskite solar cells highly promising for extensive development,thus garnering significant *** perovskite solar cells,the hole transport layer plays a crucial *** the commonly employed organic small molecule hole transport material Spiro-OMeTAD,a certain period of oxidation treatment is required to achieve complete transport ***,this posttreatment oxidation processes typically rely on ambient oxidation,which poses challenges in terms of precise control and leads to degradation of the perovskite light absorption *** approach fails to meet the demands for high efficiency and stability in practical ***,the mechanism of ultrafast laser on Spiro-OMeTAD and the reaction process for laser-induced oxidation of it are ***2at Perovskite/Spiro-OMeTAD interface breaks down to produce I2upon ultrafast laser irradiation and I2promote the oxidation *** the laser irradiation oxidation processing,a higher stability of perovskite solar cells is *** work establishes a new approach toward oxidation treatment of Spiro-OMeTAD.

关键词： hole transport layer perovskite solar cells ultrafast laser irradiation undoped Spiro-OMeTAD

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Multi-scale dispersion strengthening for high-temperature titanium alloys:Strength preservation and softening mechanisms

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材料科学技术（英文版） 2025年第3期206卷 1-14页

作者： Xin Chen Lujun Huang Shuo Ma Fengbo Sun Shuai Wang Lin Geng School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China

The long-lasting expectation"the hotter the engine,the better"calls for the development of high-temperature metallic *** the high specific strengths of titanium alloys are compelling for such applications,their deleterious softening beyond 600 ℃ imposes serious *** has been known for decades regarding the phase metallurgy for precipitation strengthening design in titanium al-loys,however,the other facile strength promotion mechanism,dispersion strengthening,remains compar-atively less-explored and *** present research concerns the multi-scale dispersion strength-ening in titanium alloys,with mechanistic emphases on the critical plasticity micro-events that affect strength *** to the simultaneous introduction of intragranular dispersoids and intergran-ular reinforcers,the current titanium alloys present superior engineering tensile strength of 519 MPa at 700 ℃.Throughout the examined 25-800 ℃ temperature range,noticeable softening induced by the ther-mal activation occurs above 600 ℃,accompanied by evident strength *** temperature-dependence transition of dominated softening mechanisms from dynamic recovery to dynamic recrystallization has been clarified by theoretical ***,the strengthening effect of multi-scale architec-tures is underpinned as the enhanced dislocation strengthening owing to the introduction of thermally-stable heterointerfaces,which could generically guide the design of similar heat-resistant titanium alloys.

关键词： Titanium-based alloys Multi-scale architectures Mechanical properties Temperature dependence Dislocation strengthening

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