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High Performance Computing, Networking, Storage and Analysis, SC-W: Workshops of the International Conference for

作者： Junqi Yin Siming Liang Siyan Liu Feng Bao Hristo G. Chipilski Dan Lu Guannan Zhang National Center for Computational Science Oak Ridge National Laboratory Oak Ridge TN USA Department of Mathematics Florida State University Tallahassee FL USA Computational Science and Engineering Division Oak Ridge National Laboratory Oak Ridge TN USA Department of Scientific Computing Florida State University Tallahassee FL USA Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN USA

ISBN: (数字)9798350355543

ISBN: (纸本)9798350355550

AI-based foundation models like FourCastNet, GraphCast, ClimaX, and Pangu-Weather are revolutionizing weather and climate predictions but are not yet ready for operational use. Their limitation lies in the absence of a data assimilation system to incorporate real-time Earth system observations, crucial for accurately forecasting events like tropical cyclones and atmospheric rivers. To overcome these obstacles, we introduce a generic real-time data assimilation framework and demonstrate its end-to-end performance on the Frontier supercomputer. This framework comprises two primary modules: an ensemble score filter (EnSF), which significantly outperforms the state-of-the-art data assimilation method, e.g., the Local Ensemble Transform Kalman Filter (LETKF); and a vision transformer-based surrogate capable of real-time adaptation through the integration of observational data. We demonstrate both the strong and weak scaling of our framework up to 1024 GPUs on the Exascale supercomputer, Frontier. Our results not only illustrate the framework’s exceptional scalability on high-performance computing systems, but also demonstrate the importance of supercomputers in real-time data assimilation for weather and climate predictions. Even though the proposed framework is tested only on a benchmark surface quasi-geostrophic (SQG) turbulence system, it has the potential to be combined with existing AI-based foundation models, making it suitable for future operational implementations.

关键词： Earth Foundation models Computational modeling High performance computing Scalability Atmospheric modeling Supercomputers Real-time systems Numerical models Data assimilation

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Non-Orthogonal Multiple Access Based Multi-Objective Optimization in Emergency Task Offloading

Non-Orthogonal Multiple Access Based Multi-Objective Optimiz...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Chen, Caijuan Zhang, Chaofeng Li, Gaolei Liu, Yuchen National Institute of Informatics The Information Systems Architecture Science Research Division Tokyo Japan Advanced Institute of Industrial Technology Tokyo Japan School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Nc State University Department of Computer Science NC United States

ISBN: (纸本)9798350368369

The escalating frequency of geological disasters, local conflicts, and public health crises necessitates robust emergency communication systems within Internet of Things (IoT) frameworks to ensure public safety. Employing Power-Domain NOMA (PD-NOMA) and Successive Interference Cancellation (SIC) enables effective multi-device communication that is crucial for emergency responses. However, the practical implementation of NOMA technologies in emergency scenarios is hindered by existing resource constraints and the requirement of prioritizing critical emergency information. To address these limitations, we propose a multi-objective optimization-based NOMA framework to maximize network throughput while ensuring quality of service (QoS) and energy efficiency. This framework incorporates a novel communication grouping algorithm based on queue penalty optimization and an Actor-Critic-based dynamic updating algorithm for multiple resource allocation. Our study proposes a practical approach to enhance emergency communication in disaster areas, ensuring efficient and reliable network performance under various constraints. © 2025 IEEE.

关键词： Multiobjective optimization

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Revealing intrinsic and extrinsic piezoelectric contributions in phase coexistence system of PbTiO_(3)-BiScO_(3)

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science China Materials 2022年第1期65卷 170-178页

作者： Shengdong Sun Hui Liu Yang Ren Manuel Hinterstein Jun Chen Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Department of Physical Chemistry University of Science and Technology BeijingBeijing 100083China School of Mathematics and Physics University of Science and Technology BeijingBeijing 100083China Institute of Applied Materials Ceramic Materials and TechnologiesKarlsruhe Institute of Technology 76131KarlsruheGermany X-Ray Science Division Advanced Photon SourceArgonne National LaboratoryArgonneIllinois 60439US

PbTiO_(3)-BiScO_(3) ceramics possess high piezoelectricity and high Curie temperature simultaneously,presenting a very promising candidate for high-temperature actuators and *** out the underlying piezoelectric mechanisms is of great importance for its ***,we reveal the quantified intrinsic and extrinsic contributions to the high electrostrain of the morphotropic composition with phase coexistence by employing the advanced in situ electrical biasing high-energy synchrotron X-ray diffraction combined with the STRAP(strain,texture,and Rietveld analysis for piezoceramics from diffraction)*** electric field-induced phase transformation is observed between the coexisting tetragonal and rhombohedral *** is found that the tetragonal phase contributes most of the domain switching strain,while the predominant lattice strain is from the rhombohedral *** phase fraction changes,the quantitative results demonstrate that the fieldinduced electrostrain is mainly contributed by the intrinsic lattice *** contrast,the high irreversible domain switching strain dominates the large remanent *** implies that transforming the large remanent strain into reversible strain would be a strategic direction to improve the piezoelectric *** present results provide a further understanding of the high piezoelectricity and could help to advance the application of PbTiO_(3)-BiScO_(3).

关键词： PbTiO_(3)-BiScO_(3) piezoelectricity in situ synchrotron diffraction electrostrain

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Tianji’s horse racing optimization (THRO): a new metaheuristic inspired by ancient wisdom and its engineering optimization applications

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Artificial Intelligence Review 2025年第9期58卷 1-111页

作者： Wang, Liying Du, Haiping Zhang, Zhenxing Hu, Gang Mirjalili, Seyedali Khodadadi, Nima Hussien, Abdelazim G. Liao, Yingying Zhao, Weiguo School of Water Conservancy and Hydropower Hebei University of Engineering Handan China School of Electrical Computer and Telecommunications Engineering University of Wollongong Wollongong Australia Prairie Research Institute University of Illinois at Urbana-Champaign Champaign USA Department of Applied Mathematics Xi’an University of Technology Xi’an China Centre for Artificial Intelligence Research and Optimisation Torrens University Australia Brisbane Australia Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava Ostrava Czech Republic University Research and Innovation Center Obuda University Budapest Hungary Department of Civil and Environmental Engineering Pacific Earthquake Engineering Research (PEER) Center University of California Berkeley USA Faculty of Science Fayoum University Fayoum Egypt School of Civil Engineering Shijiazhuang Tiedao University Shijiazhuang China

In this study, we introduce a novel metaheuristic algorithm named Tianji’s horse racing optimization (THRO), inspired by the Chinese historical story of Tianji’s horse racing. The story illustrates how Tianji leveraged his strengths to counteract his opponent’s weaknesses, ultimately leading to his victory in the competition. This strategic principle, which led to Tianji’s victory, forms the foundation of THRO’s design. The need for such a proposal arises from the limitations of existing optimization algorithms, which often struggle with convergence speed and solution accuracy when solving complex problems. THRO addresses these challenges by employing a unique dynamic individual matching strategy that enhances the algorithm’s convergence rate and solution precision. In this algorithm, an effective greedy strategy is employed to maximize benefits by selecting individuals from its population and matching them with individuals from the opponent’s population, thereby facilitating individual updates. This paper provides mathematically grounded explanations and analysis of how the algorithm converges to the global optimum with probability 1. To validate the efficacy of THRO, comparative experiments with 12 popular algorithms are conducted on 23 classical benchmark functions and the CEC2017 test suite. For the 29 CEC2017 functions across 10, 30, 50, and 100 dimensions, THRO achieves the slowest Friedman average ranking values among all competing methods, which are 2.052, 2.500, 2.293, and 2.259, respectively. Additionally, we conduct a comprehensive comparison with several advanced algorithms, including high-performance hybrid optimizers and the CEC winners, across the CEC2014, CEC2017, CEC2020, and CEC2022 suites, where THRO again achieves the slowest Friedman average ranking value of 1.729. Furthermore, six engineering design problems are employed to comprehensively check the applicability of THRO. Eventually, THRO’s proficiency extends to the application of identifying

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Navigating the future:Embracing resilience and interoperability in the industrial internet

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Fundamental research 2024年第1期4卷 1-2页

作者： Chaojie Gu Chunxiao Jiang Jiming Chen Yang Cong Bin Xiao College of Control Science and Engineering Zhejiang UniversityHangzhou 310027China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China School of Automation Science and Engineering South China University of TechnologyGuangzhou 510641China Division II Department of Information SciencesNational Natural Science Foundation of ChinaBeijing 100085China Chongqing Key Laboratory of Image Cognition School of Computer Science and TechnologyChongqing University of Posts and TelecommunicationsChongqing 400065China

In the midst of the fourth industrial revolution,the convergence of the digital,physical,and biological realms is propelling industrial innovation to new *** the heart of this transformative era lies the Industrial In... 详细信息

关键词： internet network shaping

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Non-Orthogonal Multiple Access Based Multi-Objective Optimization in Emergency Task Offloading

Non-Orthogonal Multiple Access Based Multi-Objective Optimiz...

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IEEE Conference on Wireless Communications and Networking

作者： Caijuan Chen Chaofeng Zhang Gaolei Li Yuchen Liu The Information Systems Architecture Science Research Division National Institute of Informatics Tokyo Japan Advanced Institute of Industrial Technology Tokyo Japan School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China Department of Computer Science NC State University North Carolina US

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

关键词： NOMA Interference cancellation Heuristic algorithms Disasters Quality of service Throughput Dynamic scheduling Internet of Things Resource management Optimization

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28-4: Positive Aging Resulted in Highly Efficient Blue Quantum Rod Light Emitting Diodes

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SID Symposium Digest of Technical Papers 2024年第1期55卷 360-363页

作者： Kumar Mallem Zebing Liao Maksym F. Prodanov Jianxin Song Debjyoti Bhadra Roja Ramani Gavara Abhishek K. Srivastava State Key Laboratory on Advanced Displays and Optoelectronics Technologies and Centre for Display Research Department of Electronics and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong China 999077 IAS Center for Quantum Technologies The Hong Kong University of Science and Technology Hong Kong China

The synthesis of blue quantum rods (QRs) is challenging due to fast kinetics and a significant shift in color during the synthesis of w-CdSe seeds. Herein, we synthesized highly bright CdSe/ZnxCd1-xS/ZnS core/shell blue QRs with an emission wavelength of 480 nm and fabricated blue QRLEDs. We found that the aging process of the QRLEDs significantly improved their performance by slowly reacting Al with ZnMgO and forming an AlOx interlayer among the ZnMgO/Al, which increased electron injection by over 3x times. The AlOx layer minimized the electron injection barrier and produced highly conductive ZnMgO by forming oxidation deficiency. Additionally, the exciton quenching suppressed at the QRs/ZnMgO/Al interface, and film morphology also changed among the QRs/ZnMgO stacks with the time. As a result, the aged QRLEDs showed an EQE of 9.4% and luminance of 61500 cd/m 2 , which is 2.6x and 3x times higher than the freshly made QRLEDs. These are the highest reported numbers in EQE and luminance of blue QRLEDs. Additionally, the durability of the blue QRLEDs significantly improved from 50 to 300 hours at 100 cd/m 2 initial luminance. Overall, the use of QRs in LEDs greatly improves device efficiency and brightness.

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Tunable Work Functions of Nanophotonic Components and Plasmonic Metals

Tunable Work Functions of Nanophotonic Components and Plasmo...

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Conference on Lasers and Electro-Optics (CLEO)

作者： K. M. Khabir L. Hesami A. P. Martin J. Wilson M. A. Noginov Center for Materials Research Norfolk State University Norfolk VA USA Engineering Department Virginia State University Petersburg VA Department of Science Mathematics Computer Science and Engineering Technology Elizabeth City State University Elizabeth City NC

We have studied control of work functions in plasmonic metals and nanophotonic components with dielectric substrates as well as with visible light. Our findings pave the road to fundamental studies and applications of... 详细信息

ISBN: (纸本)9781957171258

关键词： Gold Light matter interactions Metals Optical properties Surface plasmons Visible light

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Prediction of ultimate tensile strength of Al-Si alloys based on multimodal fusion learning

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Materials Genome engineering Advances 2024年第1期2卷 104-119页

作者： Longfei Zhu Qun Luo Qiaochuan Chen Yu Zhang Lijun Zhang Bin Hu Yuexing Han Qian Li State Key Laboratory of Advanced Special Steels&Shanghai Key Laboratory of Advanced Ferrometallurgy&School of Materials Science and Engineering Shanghai UniversityShanghaiChina School of Computer Engineering and Science Shanghai UniversityShanghaiChina College of Materials Science and Engineering Chongqing UniversityChongqingChina State Key Laboratory of Powder Metallurgy Central South UniversityChangshaChina CSMET Group Co. Ltd.ShanghaiChina Zhejiang Laboratory HangzhouChina National Engineering Research Center for Magnesium Alloy Chongqing UniversityChongqingChina National Key Laboratory of Advanced Casting Technologies Chongqing UniversityChongqingChina

Exploring the“composition-microstructure-property”relationship is a long-standing theme in materials ***,complex interactions make this area of research *** on the image processing and machine learning techniques,this paper proposes a multimodal fusion learning framework that comprehensively considers both composition and microstructure in prediction of the ultimate tensile strength(UTS)of Al-Si ***,the composition and image information are collected from the literature and supplementary experi-ments,followed by the image segmentation and quantitative analysis of eutectic Si ***,the quantitative analysis results are combined with other features for three-step feature screening,and 12 key features are ***,four machine-learning models(i.e.,decision tree,random forest,adaptive boosting,and extreme gradient boosting[XGBoost])are used to predict the UTS of Al-Si *** results show that the quantitative analysis method proposed in this paper is superior to Image-Pro Plus(IPP)software in some *** XGBoost model has the best prediction performance with R^(2)=***,five mixed features and their critical values that significantly affect UTS are *** study provides enlightenment for the prediction of UTS of Al-Si alloys from composition and microstructure,and would be applicable to other alloys.

关键词： Al-Si alloys image processing machine learning multimodal property prediction

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P-7.13: Photo-induced Rotation Alignment for Ultra-thin Circular Polarizer and Its Applications

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SID Symposium Digest of Technical Papers 2023年第S1期54卷 743-746页

作者： Zheng-Nan YUAN Zhi-Bo SUN Valerii VASHCHENKO Yue-Chu CHENG Yi-Peng HUO Jacob HO Rong-Sheng CHEN Fion S. Y. YEUNG Hoi-Sing KWOK State Key Laboratory of Advanced Displays and Optoelectronics Technologies and Center for Display Research Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Road Kowloon Hong Kong

An in-cell broadband circular polarizer using liquid crystal polymer (LCP) is proposed in this paper. Specifically, a polarizer with photoalignment technology is combined on the top of it. An enhancement of the ambien... 详细信息

关键词： Broadband circular polarizer Light-emitting display (LED)

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