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Effect of high silicon content in enhancing the creep properties of a PM near-α Ti–6Al–2Sn–4Zr–2Mo–0.5Y–0.5Si alloy

Journal of Materials Research and Technology 2025年 36卷 4864-4881页

作者： Xuemei Yu Fuyang Yu Bowen Zhang Xiaogang Wu Hongzhi Niu Deliang Zhang School of Material Science and Engineering Northeastern University Shenyang 110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang 110819 China Key Laboratory of Data Analytics and Optimization for Smart Industry (Ministry of Education) Northeastern University Shenyang 110819 China

This study investigates the effect of high Si content on the creep properties and deformation mechanisms of a powder metallurgy (PM) near-α titanium alloy with a composition of Ti–6Al–2Sn–4Zr–2Mo–0.5Y–0.5Si (wt.%) fabricated using high-energy ball milling (HEBM) and thermomechanical powder consolidation (TMC). Under 600 °C/250 MPa, the alloy exhibits a 263 % increase in creep life, a 48 % reduction in steady-state creep rate, and 100 % improvement in creep fracture strain compared with the corresponding titanium alloy containing 0.1 wt% Si under the same fabrication and heat treatment conditions. The superior creep properties are attributed to the stabilized α/β and α/β t interfaces, the uniform dispersion of (Ti, Zr) 6 Si 3 nanoparticles, and the increased Si solubility in both α and β phases, all of which collectively hinder dislocation movement. Additionally, Si addition suppresses the formation of continuous α GB plates, while the presence of higher Si solubility and dispersed nanoscale silicides alleviates stress concentration, delays void and microcrack formation, and ultimately enhances creep fracture strain. These findings underscore the critical role of interface stability, nanoscale silicide dispersion, and enhancing Si solubility in optimizing high-temperature titanium alloys for extreme service environments.

关键词： Near-α titanium alloy Thermomechanical powder consolidation Effect of high silicon content Microstructure Creep property

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Safety Control of Switched Systems via Multiple Barrier Functions

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IEEE Transactions on Automatic Control 2025年

作者： Long, Lijun Huang, Chunxiao Sun, Zhendong Northeastern University College of Information Science and Engineering Shenyang110819 China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang110819 China Ministry of Education Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University China

This paper is concerned with the problem of safety control for switched systems, where different safe sets are allowed for different subsystems and safety is not necessarily possessed for subsystems. A necessary and sufficient condition is presented for safety of switched systems by exploiting a multiple barrier functions (MBFs) method. To reveal the relationship about safety between subsystems and switched systems, an extended Nagumo's Theorem in the switched systems framework is derived. Also, several switched control design conditions are respectively provided to ensure safety of switched systems. Based on the union of MBFs and multiple Lyapunov functions (MLFs), a novel safety-critical control framework is established to simultaneously ensure safety and stability of switched systems. Also, an auxiliary cost function is introduced to transform the safety-critical optimal control (SCOC) problem of switched systems into the one of non-switched systems. Finally, three examples are illustrated to demonstrate the effectiveness of the proposed methods. © 1963-2012 IEEE.

关键词： Lyapunov functions

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Prospects for measuring neutrino mass with 21-cm forest

arXiv

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arXiv 2025年

作者： Shao, Yue Du, Guo-Hong Li, Tian-Nuo Zhang, Xin Liaoning Key Laboratory of Cosmology and Astrophysics College of Sciences Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China

Both particle physics experiments and cosmological observations have been used to explore neutrino properties. Cosmological researches of neutrinos often rely on the early-universe cosmic microwave background observations or other late-universe probes, which mostly focus on large-scale structures. We introduce a distinct probe, the 21-cm forest, that differs from other probes in both time and scale. Actually, the 21-cm forest is a unique tool for studying small-scale structures in the early universe. Below the free-streaming scale, massive neutrinos suppress the matter power spectrum, influencing small-scale fluctuations in the distribution of matter. The one-dimensional (1D) power spectrum of the 21-cm forest can track these fluctuations across different scales, similar to the matter power spectrum, providing an effective method to constrain neutrino mass. Although heating effects in the early universe can also impact the 1D power spectrum of the 21-cm forest, we assess the potential of the 21-cm forest as a tool for measuring neutrino mass, given that the temperature of the intergalactic medium can be constrained using other methods within a certain range. In the ideal scenario, the 21-cm forest observation will have the ability to constrain the total neutrino mass to around 0.1 eV. With the accumulation of observational data and advancements in observational technology, the 21-cm forest holds great promise as an emerging and potent tool for measuring neutrino mass. Copyright © 2025, The Authors. All rights reserved.

关键词： Probes

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Model-independent H0 within FLRW: Joint constraints from GWTC-3 standard sirens and strong lensing time delays

arXiv

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arXiv 2025年

作者： Song, Ji-Yu Qi, Jing-Zhao Zhang, Jing-Fei Zhang, Xin Key Laboratory of Cosmology and Astrophysics Department of Physics College of Sciences Northeastern University Liaoning Province Shenyang110819 China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China

The Hubble tension has emerged as a critical crisis in cosmology, with the cause remaining unclear. Determining the Hubble constant (H0) independently of cosmological models and distance ladders will help resolve this crisis. In this letter, we for the first time use 47 gravitational-wave (GW) standard sirens from the third Gravitational-Wave Transient Catalog to calibrate distances in the strong lensing system, RXJ1131-1231, and constrain H0 through the distance-sum rule, with minimal cosmological assumptions. We assume that light propagation over long distances is described by the Friedmann-Lemaitre-Robertson-Walker metric and that geometrical optics holds, but we do not need to assume the universe’s contents or the theory of gravity on cosmological scales. Fixing ΩK = 0, we obtain H0 = 73.22+5−5.9543 km s−1 Mpc−1 and H0 = 70.40+8−5.0360 km s−1 Mpc−1 by using the deflector galaxy’s mass model and kinematic measurements to break mass-sheet transform, respectively. When ΩK is not fixed, the central value of H0 increases further. We find that our results are still dominated by statistical errors, and at the same time, we notice the great potential of using GW dark sirens to provide calibration, owing to their higher redshifts. When using 42 binary black holes and RXJ1131-1231, we obtain a 8.46% H0 constraint precision, which is better than that from the bright siren GW170817 using the Hubble law by about 40%. In the future, as the redshift range of GW dark sirens increases, more and more SGLTDs can be included, and we can achieve high-precision, model-independent measurements of H0 without the need for GW bright sirens. Copyright © 2025, The Authors. All rights reserved.

关键词： Cosmology

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4D-CS: Exploiting Cluster Prior for 4D Spatio-Temporal LiDAR Semantic Segmentation

arXiv

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arXiv 2025年

作者： Zhong, Jiexi Li, Zhiheng Cui, Yubo Fang, Zheng The Faculty of Robot Science and Engineering Northeastern University Shenyang110819 China The National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Shenyang110819 China

Semantic segmentation of LiDAR points has significant value for autonomous driving and mobile robot systems. Most approaches explore spatio-temporal information of multi-scan to identify the semantic classes and motion states for each point. However, these methods often overlook the segmentation consistency in space and time, which may result in point clouds within the same object being predicted as different categories. To handle this issue, our core idea is to generate cluster labels across multiple frames that can reflect the complete spatial structure and temporal information of objects. These labels serve as explicit guidance for our dual-branch network, 4D-CS, which integrates point-based and cluster-based branches to enable more consistent segmentation. Specifically, in the point-based branch, we leverage historical knowledge to enrich the current feature through temporal fusion on multiple views. In the cluster-based branch, we propose a new strategy to produce cluster labels of foreground objects and apply them to gather point-wise information to derive cluster features. We then merge neighboring clusters across multiple scans to restore missing features due to occlusion. Finally, in the point-cluster fusion stage, we adaptively fuse the information from the two branches to optimize segmentation results. Extensive experiments confirm the effectiveness of the proposed method, and we achieve state-of-the-art results on the multi-scan semantic and moving object segmentation on SemanticKITTI and nuScenes datasets. The code will be available at https://***/NEU-REAL/***. Copyright © 2025, The Authors. All rights reserved.

关键词： Semantic Segmentation

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Probing the sign-changeable interaction between dark energy and dark matter with DESI baryon acoustic oscillations and DES supernovae data

arXiv

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arXiv 2025年

作者： Li, Tian-Nuo Du, Guo-Hong Li, Yun-He Wu, Peng-Ju Jin, Shang-Jie Zhang, Jing-Fei Zhang, Xin Liaoning Key Laboratory of Cosmology and Astrophysics College of Sciences Northeastern University Shenyang110819 China School of Physics Ningxia University Yinchuan750021 China Department of Physics University of Western Australia PerthWA6009 Australia MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China

There is a possibility of interaction between dark energy and dark matter, and this interaction may also undergo a sign change during the evolution of the universe. In this paper, we utilize the latest observational data to constrain models of a sign-changeable interaction. The data we employ, in addition to the cosmic microwave background data, also encompass the first-year baryon acoustic oscillation data from DESI and the type Ia supernova data of the full 5-year observation from DES. To achieve high generality, we investigate four interacting dark energy (IDE) models with different forms of the interaction term Q: (i) IDE1 with Q = β(a)Hρde;(ii) IDE2 with Q = β(a)Hρc;(iii) IDE3 with Q = β(a)H0ρde;(iv) IDE4 with Q = β(a)H0ρc. From the analysis, we observe that β(z) > 0 at early times and β(z) Copyright © 2025, The Authors. All rights reserved.

关键词： Supernovae

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Cosmological search for sterile neutrinos after DESI 2024

arXiv

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arXiv 2025年

作者： Du, Guo-Hong Li, Tian-Nuo Wu, Peng-Ju Feng, Lu Zhou, Sheng-Han Zhang, Jing-Fei Zhang, Xin Liaoning Key Laboratory of Cosmology and Astrophysics College of Sciences Northeastern University Shenyang110819 China School of Physics Ningxia University Yinchuan750021 China College of Physical Science and Technology Shenyang Normal University Shenyang110034 China MOE Key Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang110819 China National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang110819 China

The question of whether the massive sterile neutrinos exist remains a crucial unresolved issue in both particle physics and cosmology. We explore the cosmological constraints on the massive sterile neutrinos using the latest observational data, including the baryon acoustic oscillations data from DESI, the cosmic microwave background data from Planck satellite and ACT, and the 5-year Type Ia supernova data and the 3-year weak-lensing data from DES. We search for the massive sterile neutrinos within the ΛCDM, wCDM, and w0waCDM models. Our analysis shows that when considering massive sterile neutrinos within the w0waCDM model, the combined datasets allow us to infer a non-zero sterile neutrino mass at approximately 2σ confidence level. Specifically, in the w0waCDM+Sterile model, the effective mass of sterile neutrinos and the effective number of relativistic species are constrained to be meffν,sterile = 0.50+0.33−0.27 eV and Neff = 3.076+0.011−0.017, respectively. However, the ΛCDM+Sterile and wCDM+Sterile models could not provide evidence supporting the existence of massive sterile neutrinos. Copyright © 2025, The Authors. All rights reserved.

关键词： Cosmology

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Dynamic multiobjective operation optimization of blast furnace ironmaking process

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Advanced engineering Informatics 2025年 66卷

作者： Yumeng Zhao Xianpeng Wang Xiangman Song National Frontiers Science Center for Industrial Intelligence and Systems Optimization Northeastern University Shenyang 110819 Liaoning China Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University) Ministry of Education Shenyang 110819 Liaoning China Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry Northeastern University Shenyang 110819 Liaoning China Liaoning Key Laboratory of Manufacturing System and Logistics Optimization Northeastern University Shenyang 110819 Liaoning China

As the largest energy-consuming and carbon-emitting facility in the iron and steel industry, blast furnace needs to dynamically adjust its operating parameters according to the production conditions to minimize energy consumption and carbon emissions. Most of the previous studies focus only on the static operation optimization of blast furnace, which does not allow for the timely updating of operating parameters and the effective reduction of carbon emissions and production costs. Therefore, in this paper, a dynamic multiobjective operation optimization model for blast furnace, which integrates the identification approach of production condition variations, is developed and a tensor-based dynamic multiobjective evolutionary algorithm (T-DCMOEA/D) is devised to achieve cleaner production and lower cost of ironmaking process. The computational results based on real-world blast furnace operation optimization problems demonstrate that the proposed model and algorithm can effectively address the dynamic variations in the actual blast furnace production, which ensures that the blast furnace always operates in an optimized state. Furthermore, it is shown that our T-DCMOEA/D significantly outperforms some of the state-of-the-art dynamic multiobjective evolutionary algorithms in the literature, with regard to faster convergence, higher adaptivity, and better performance.

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Effusol ameliorates ischemic stroke by targeting NLRP3 protein to regulate NLRP3 inflammasome-mediated pyroptosis

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Phytomedicine 2025年 136卷 156253页

作者： Xu, Libin Li, Siyu Qi, Jiaxin Mi, Yan Zhang, Ying Yang, Yuxin Wang, Yingjie Zhou, Di Li, Ning Hou, Yue Key Laboratory of Bioresource Research and Development of Liaoning Province College of Life and Health Sciences National Frontiers Science Center for Industrial Intelligence and Systems Optimization Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education Northeastern University Shenyang China School of Traditional Chinese Materia Medica Key Laboratory of Innovative Traditional Chinese Medicine for Major Chronic Diseases of Liaoning province Key Laboratory for TCM Material Basis Study and Innovative Drug Development of Shenyang City Shenyang Pharmaceutical University Shenyang 110016 China

Background: The significance of pyroptosis as an inflammatory mode of death in ischemic stroke (IS) has attracted much attention in recent years. Effusol is a dihydrophenanthrene component extracted from Juncus effusus L. Previous studies have found that Juncus effusus L. has a good inhibitory effect against microglia activation. However, it is not clear whether effusol inhibits microglia over-activation and attenuates its mediated microglia pyroptosis in the treatment of IS. Purpose: The aim is to examine how effusol influences the initiation and activation stages of pyroptosis, as well as the NLRP3 inflammasome, resulting from microglial over-activation triggered post-IS. Methods: This study investigated the impact of effusol on neurological severity and edema to assess its neuroprotective effects in IS. Mechanistically, immunofluorescence and western blotting were applied to explore the initiation and activation of the NLRP3 inflammasome. Finally, we employed the NLRP3 specific inhibitor, molecular docking, drug affinity responsive target stability (DARTS), and cellular thermal shift assay (CETSA) to further explore the underlying targets of effusol. Results: Effusol mitigated IS-induced damage and downregulated the expression of inflammatory factors at the mRNA level, the protein levels of toll-like receptor 4 (TLR4), nuclear transcription factor NF-κB p65, and key components of the NLRP3 inflammasome. Effusol also mitigated mitochondrial damage by increasing ATP levels and decreasing mitochondrial membrane potential. Importantly, effusol targets NLRP3 protein to inhibit pyroptosis, thereby suppressing the hyperactivation of NLRP3 inflammasome. Conclusions: Effusol may be protective against IS by targeting NLRP3 proteins to inhibit NLRP3 inflammasome activation-mediated pyroptosis. This finding provides a theoretical basis and a prospective drug candidate for the treatment of effusol in IS. © 2024 Elsevier GmbH

关键词： Effusol Ischemic stroke Microglia NLRP3 inflammasome Pyroptosis

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Voter model on adaptive networks

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Chinese Physics B 2022年第5期31卷 780-790页

作者： Jinming Du Key Laboratory of Data Analytics and Optimization for Smart Industry(Northeastern University) Ministry of EducationShenyang 110819China Institute of Industrial and Systems Engineering College of Information Science and EngineeringNortheastern UniversityShenyang 110819China Liaoning Engineering Laboratory of Operations Analytics and Optimization for Smart Industry Northeastern UniversityShenyang 110819China

Voter model is an important basic model in statistical *** recent years,it has been more and more used to describe the process of opinion formation in *** real complex systems,the interactive network of individuals is dynamically adjusted,and the evolving network topology and individual behaviors affect each ***,we propose a linking dynamics to describe the coevolution of network topology and individual behaviors in this paper,and study the voter model on the adaptive *** theoretically analyze the properties of the voter model,including consensus probability and *** evolution of opinions on dynamic networks is further analyzed from the perspective of evolutionary ***,a case study of real data is shown to verify the effectiveness of the theory.

关键词： statistical physics opinion dynamics evolutionary game theory complex systems

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