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Efficient grain refinement of Al alloys induced by in-situ nanoparticles

Journal of Materials science & technology 2022年第29期124卷 14-25页

作者： Hongxiang Jiang Yan Song Lili Zhang Jie He Shixin Li Jiuzhou Zhao Shi-Changxu Innovation Center for Advanced Materials Institute of Metal ResearchChinese Academy of SciencesShenyang 110016China School of Materials Science and Engineering University of Science and Technology of ChinaShenyang 110016China

Grain refinement of Al and Al alloys during the solidification remains a long-term *** we report a general strategy for efficient grain refinement through instantaneously in-situ forming abundant nanoparticles with concentrated size *** Al-Zn-Mg-Cu alloy and commercial purity Al are respectively refined by using this proposed strategy and the traditional refinement method(adding AlTi-B alloy into Al melt),and the experimental and numerical results indicate that the TiBnanoparticles instantaneously form in the Al melt during the in-situ refinement *** to the traditional refinement treatment method,the new approach not only can promote the high number density of the nucleation sites and narrow their size distribution,but also tremendously attenuates the agglomeration and settlement of the heterogeneous nucleation *** exhibits much better grain refinement ability and inhibits the decline of the grain refinement *** approach may have broad application prospect not only for the grain refinement of Al and Al alloys,but also for the grain refinement of other alloy systems,***,magnesium,copper,and so on.

关键词： In-situ nanoparticles Aluminum alloys Grain refinement Simulation

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Intense O+ E + S-band emission from Pr3+-doped ZnF2-based glasses

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Optical Materials Express 2024年第2期14卷 367-374页

作者： Yan, Jinming Jia, Zhixu Wang, Junjie Zhang, Chuanze Wang, Fangning Mei, Yuting Meng, Fanchao Ohishi, Yasutake Zhang, Daming Qin, Weiping Wang, Fei Qin, Guanshi State Key Laboratory of Integrated Optoelectronics College of Electronic Science and Engineering Jilin University 2699 Qianjin Street Changchun130012 China The Research Center for Advanced Photon Technology Toyota Technological Institute Nagoya468-8511 Japan

Pr3+-doped ZnF2-based glasses were prepared by using a melt-quenching method in dry N2 atmosphere. Under the excitation of a 588 nm light emitting diode (LED), ultrabroadband emissions ranging from 1245 to 1640 nm were obtained from the Pr3+-doped ZnF2-based glasses, which originate from the transitions 1D2→1G4 (producing E + S-band emission) and 1G4→3H5 (producing O-band emission) of Pr3+. The shape of the emission spectra could be tailored by varying the concentration of Pr3+. Emission spectra with the maximum full width at half maximum (FWHM) of 215 nm (1289 nm-1504 nm, covering the O+ E + S-band) was obtained in the ZnF2-based glass at a doping concentration of 5000 ppm. The effects of the phonon energy of the matrix on O+ E + S-band emission were also investigated. Our results showed that Pr3+-doped ZnF2-based glasses with low phonon energy might be used for constructing O+ E + S-band lasers and optical amplifiers. © 2024 Optica Publishing Group.

关键词： Glass

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Microstructure and mechanical properties stability of pre-hardening treatment in Al-Cu alloys for pre-hardening forming process

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International Journal of Minerals,Metallurgy and Materials 2024年第3期31卷 539-551页

作者： Liping Tang Pengfei Wei Zhili Hu Qiu Pang Hubei Longzhong laboratory Xiangyang 441000China Hubei Key Laboratory of Advanced Technology for Automotive Components School of Automotive EngineeringWuhan University of TechnologyWuhan 430070China Hubei Engineering Research Center for Green&Precision Material Forming Wuhan University of TechnologyWuhan 430070China Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education School of Machinery and AutomationWuhan University of Science and TechnologyWuhan 430081China

The stability of the microstructure and mechanical properties of the pre-hardened sheets during the pre-hardening forming(PHF)process directly determines the quality of the formed *** microstructure stability of the pre-hardened sheets was in-vestigated by differential scanning calorimetry(DSC),transmission electron microscopy(TEM),and small angle X-ray scattering(SAXS),while the mechanical properties and formability were analyzed through uniaxial tensile tests and formability *** results in-dicate that the mechanical properties of the pre-hardened alloys exhibited negligible changes after experiencing 1-month natural aging(NA).The deviations of ultimate tensile strength(UTS),yield strength(YS),and sheet formability(Erichsen value)are all less than 2%.Also,after different NA time(from 48 h to 1 month)is applied to alloys before pre-hardening treatment,the pre-hardened alloys possess stable microstructure and mechanical properties as ***,with the extension of NA time before pre-hardening treatment from 48 h to 1 month,the contribution of NA to the pre-hardening treatment is *** a yield strength increment of 20 MPa is achieved,with no loss in *** limited enhancement is mainly attributed to the fact that only a limited number of clusters are transformed into Guinier-Preston(GP)zones at the early stage of pre-hardening treatment,and the formation ofθ''phase inhibits the nucleation and growth of GP zones as the precipitated phase evolves.

关键词： Al-Cu alloy pre-hardened alloy natural aging mechanical properties microstructure

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Synergistic Effect of the Anode Interface of Garnet-Type All-Solid-State Batteries

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ACS applied Materials and Interfaces 2023年第37期15卷 44413-44421页

作者： Liao, Yu-Kai Liu, Ru-Shi Hu, Shu-Fen Department of Physics National Taiwan Normal University Taipei116 Taiwan Department of Chemistry and Advanced Research Center for Green Materials Science and Technology National Taiwan University Taipei106 Taiwan

Next-generation lithium-ion batteries must have high energy density and safety, making the development of all-solid-state batteries imperative. One of the biggest advantages of an all-solid-state lithium-ion battery (ASSLIB) is that its alloy uses lithium metal as an anode while ignoring its flammability and other dangers. Herein, high-conductivity garnet-type Li6.75La3Zr1.75Ta0.25O12 (LLZTO) was chosen as the solid electrolyte part of an all-solid-state battery. A composite anode was formed by melting Li and MXene-MAX together, reducing the interface impedance from 566 to 55 Ω cm2. The Li-MXene|LLZTO|LFP full battery displayed a high initial discharge capacity of 163.0 mAh g-1 and a Coulombic efficiency of 97.0% and maintained 90.2% of its discharge capacity over 100 cycles, but it did not maintain a good overpotential. Therefore, the synergistic effect of Li-MXene-Pt will highly improve the performance of the full battery because of its high initial discharge capacity of 150.0 mAh g-1 and Coulombic efficiency of 95.5%, discharge capacity maintained at 93.3% over 100 cycles, and low overpotential of 0.04 V. © 2023 American Chemical Society

关键词： Garnets

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Emerging Strategies in Surface-Enhanced Raman Scattering (SERS) for Single-Molecule Detection and Biomedical Applications

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Biomedical Materials and Devices 2023年第2期1卷 739-750页

作者： Bai, Shi Sugioka, Koji Advanced Laser Processing Research Team RIKEN Center for Advanced Photonics 2-1 Hirosawa Wako 351-0198 Japan School of Material Science and Engineering Hebei University of Science and Technology Shijiazhuang 050018 China

Surface-enhanced Raman scattering (SERS) has provided new pathways for the development of biomedical devices over the last ten years. This critical review aims to introduce several emerging strategies based on SERS that have achieved ultrahigh sensitivity for biomedical applications. These include liquid interface-assisted SERS, photo-induced SERS, dynamic SERS, optical-trapping SERS, and some other attractive approaches. The mechanisms involved are discussed to demonstrate the capability of an enhancement factor that exceeds 10¹⁴. In addition, we present some novel applications in biomedicine to illustrate the versatility of the SERS strategies. In the Outlook section, we highlight barriers and possibilities of next-generation SERS analyzers for biomedical applications. © The Author(s), under exclusive licence to Springer science+Business Media, LLC 2022.

关键词： Biomedicine Raman SERS Single molecule Trace detection

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Probing the electric double layer structure at nitrogen-doped graphite electrodes by constant-potential molecular dynamics simulations

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Journal of Energy Chemistry 2024年第6期93卷 299-305,I0008页

作者： Legeng Yu Nan Yao Yu-Chen Gao Zhong-Heng Fu Bo Jiang Ruiping Li Cheng Tang Xiang Chen Tsinghua Center for Green Chemical Engineering Electrification(CCEE) Department of Chemical EngineeringTsinghua UniversityBeijing 100084China Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China National Materials Corrosion and Protection Data Center University of Science and Technology BeijingBeijing 100083China Ordos Carbon Neutral Research and Application Co. Ltd.Ordos 017010Inner Mongoli1China Institute for Carbon Neutrality Tsinghua UniversityBeijing 100084China Center for Next-Generation Energy Materials and School of Chemical Engineering Sungkyunkwan University2066 Seobu-roJangan-guSuwon-siGyeonggi-do 16419Republic of Korea

Electric double layer(EDL)is a critical topic in electrochemistry and largely determines the working performance of lithium ***,atomic insights into the EDL structures on heteroatom-modified graphite anodes and EDL evolution with electrode potential are very ***,a constant-potential molecular dynamics(CPMD)method is proposed to probe the EDL structure under working conditions,taking N-doped graphite electrodes and carbonate electrolytes as an *** interface model was developed,incorporating the electrode potential and atom *** a result,an insightful atomic scenario for the EDL structure under varied electrode potentials has been established,which unveils the important role of doping sites in regulating both the EDL structures and the following electrochemical reactions at the atomic ***,the negatively charged N atoms repel the anions and adsorb Li~+at high and low potentials,*** preferential adsorption suggests that Ndoped graphite can promote Li~+desolvation and regulate the location of Li~+*** CPMD method not only unveils the mysterious function of N-doping from the viewpoint of EDL at the atomic level but also applies to probe the interfacial structure on other complicated electrodes.

关键词： Lithium batteries Graphite N-doping Electric double layer Molecular dynamics Constant potential method Electrode potential

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AI Fairness-From Machine Learning to Federated Learning

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Computer Modeling in Engineering & sciences 2024年第5期139卷 1203-1215页

作者： Lalit Mohan Patnaik Wenfeng Wang Consciousness Studies Program School of HumanitiesNational Institute of Advanced StudiesBangalore560012India Research Institute of Intelligent Engineering and Data Applications Shanghai Institute of TechnologyShanghai201418China Research Center of Ecology and Environment of Central Asia Chinese Academy of SciencesUrumqi830011China Applied Nonlinear Science Lab Anand International College of EngineeringJaipur391320India London Institute of Technology The ASE-London CTI of SCOLondonCR26EQUK Sino-Indian Joint Research Center of AI and Robotics The IMT InstituteBhubaneswar752054India

This article reviews the theory of fairness in AI-frommachine learning to federated learning,where the constraints on precision AI fairness and perspective solutions are also *** a reliable and quantitative evaluation of AI fairness,many associated concepts have been proposed,formulated and ***,the inexplicability of machine learning systems makes it almost impossible to include all necessary details in the modelling stage to ensure *** privacy worries induce the data unfairness and hence,the biases in the datasets for evaluating AI fairness are *** imbalance between algorithms’utility and humanization has further reinforced *** for federated learning systems,these constraints on precision AI fairness still *** solution is to reconcile the federated learning processes and reduce biases and imbalances accordingly.

关键词： Formulation evaluation classification constraints imbalance biases

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Capacity estimation based on the aging characteristics analysis of Liquid metal batteries 11

Capacity estimation based on the aging characteristics analy...

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11th International Conference on Power Electronics - ECCE Asia, ICPE 2023-ECCE Asia

作者： Shi, Qionglin Li, Haomiao Wang, Kangli Jiang, Kai Huazhong University of Science and Technology State Key Laboratory of Advanced Electromagnetic Engineering and Technology China Huazhong University of Science and Technology Engineering Research Center of Power Safety and Efficiency China

ISBN: (纸本)9788957083505

The liquid metal battery is a new energy storage technology that is gaining increasing attention due to its high safety and long life. Accurate capacity estimation is crucial for health diagnosis and pack management, providing a strong guarantee of long-term stable operation for energy systems. However, owing to the lack of aging analysis traditional methods are difficult to improve the precision in the situation of unpredictable disturbances or fluctuations, such as capacity plunge. This paper proposes a capacity estimation method based on aging features by combining machine learning and filter algorithms, this method can provide an accurate prediction even the LMB is subject to capacity plunge. First, the aging features are extracted using only a tenth of the whole information from the discharge curve and increment capacity (IC) curve. Next, the Long Short Term Memory (LSTM) network is employed to establish the state-space representation between the aging feature and the capacity. The particle filter (PF) is then combined with the state-space representation to predict the capacity. Finally, aging tests are conducted to validate the precision and effectiveness of the proposed hybrid method. These results show that the proposed method can provide robustness as well as accurate capacity prediction. © 2023 The Korean Institute of Power Electronics.

关键词： Liquid metals

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Multi-omics graph convolutional networks for digestive system tumour classification and early-late stage diagnosis

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CAAI Transactions on Intelligence technology 2024年第6期9卷 1572-1586页

作者： Lin Zhou Zhengzhi Zhu Hongbo Gao Chunyu Wang Muhammad Attique Khan Mati Ullah Siffat Ullah Khan School of Information Science and Technology University of Science and Technology of ChinaHefeiAnhuiChina Anhui Engineering Research Center on Information Fusion and Control of Intelligent Robot WuhuAnhuiChina Department of Breast Center West District of The Affiliated Hospital of University of Science and Technology of ChinaDivision of Life Sciences and MedicineUniversity of Science and Technology of ChinaHefeiAnhuiChina Institute of Advanced Technology University of Science and Technology of ChinaHefeiAnhuiChina School of Electrical and Electronic Engineering Nanyang Technological UniversitySingaporeSingapore School of Biological and Environmental Engineering Chaohu UniversityChaohu Regional Collaborative Technology Service Center for Rural RevitalizationHefeiChina Department of Artificial Intelligence College of Computer Engineering and SciencePrince Mohammad Bin Fahd UniversityAl-KhobarSaudi Arabia School of Automation Northwestern Polytechnical UniversityXi'anShaanxiChina Institute of Engineering and Computing Science University of Science and Technology of BannuKPKBannuPakistan

The prevalence of digestive system tumours(DST)poses a significant challenge in the global crusade against *** neoplasms constitute 20%of all documented cancer diagnoses and contribute to 22.5%of cancer-related *** accurate diagnosis of DST is paramount for vigilant patient monitoring and the judicious selection of optimal *** this challenge,the authors introduce a novel methodology,denominated as the Multi-omics Graph Transformer Convolutional Network(MGTCN).This innovative approach aims to discern various DST tumour types and proficiently discern between early-late stage tumours,ensuring a high degree of *** MGTCN model incorporates the Graph Transformer Layer framework to meticulously transform the multi-omics adjacency matrix,thereby illuminating potential associations among diverse samples.A rigorous experimental evaluation was undertaken on the DST dataset from The Cancer Genome Atlas to scrutinise the efficacy of the MGTCN *** outcomes unequivocally underscore the efficiency and precision of MGTCN in diagnosing diverse DST tumour types and successfully discriminating between early-late stage DST *** source code for this groundbreaking study is readily accessible for download at https://***/bigone1/MGTCN.

关键词： digestive system tumors early-late stage multi-omics tumor types

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Archer: Adaptive Memory Compression with Page-Association-Rule Awareness for High-Speed Response of Mobile Devices 23

Archer: Adaptive Memory Compression with Page-Association-Ru...

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23rd USENIX Conference on File and Storage Technologies, FAST 2025

作者： Li, Changlong Zhu, Zongwei Wang, Chao Liu, Fangming Xu, Fei Sha, Edwin H.-M. Zhou, Xuehai School of Computer Science and Technology East China Normal University China Jianghuai Advance Technology Center Hefei230026 China MoE Engineering Research Center of Hardware/Software Co-Design Technology and Application China School of Software Engineering University of Science and Technology of China Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou215123 China Huazhong University of Science and Technology China Peng Cheng Laboratory China

ISBN: (纸本)9781939133458

In mobile systems, memory can be compressed page-by-page to save space. This approach is widely adopted because memory data is accessed by page. However, this paper shows that the system response speed is significantly limited by page-grained compression. In this paper, we observe that approximately a quarter of anonymous memory pages are highly correlated, even though the association is implicit. Inspired by this, we propose Archer, an association-rule-aware memory compression framework in mobile systems. Archer demonstrates that memory in mobile devices should be compressed using flexible granularity, rather than relying solely on traditional page compression. To further integrate association-rule mining techniques into system design, we redesign the LRU mechanism and propose an adaptive memory compression region. Experimental results show that the average app launching speed is 1.55x faster when enabling Archer, and the average photographic speed and frame rate increase by 1.42x and 1.31x, respectively, compared to the state-of-the-art. © 2025 FAST. All Rights Reserved.

关键词： Portable equipment

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