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Quincke Oscillations of Colloids at Planar Electrodes

Physical Review Letters 2021年第25期126卷 258001-258001页

作者： Zhengyan Zhang Hang Yuan Yong Dou Monica Olvera de la Cruz Kyle J. M. Bishop Department of Chemical Engineering Columbia University New York New York 10027 USA Applied Physics Program Northwestern University Evanston Illinois 60208 USA Department of Materials Science and Engineering Northwestern University Evanston Illinois 60208 USA

Dielectric particles in weakly conducting fluids rotate spontaneously when subject to strong electric fields. Such Quincke rotation near a plane electrode leads to particle translation that enables physical models of active matter. In this Letter, we show that Quincke rollers can also exhibit oscillatory dynamics, whereby particles move back and forth about a fixed location. We explain how oscillations arise for micron-scale particles commensurate with the thickness of a field-induced boundary layer in the nonpolar electrolyte. This work enables the design of colloidal oscillators.

关键词： Electrokinetic flows Active matter Self-propelled particles

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Analysis of high-power packages for white-light-emitting diode lamps with remote phosphor

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MRS Online Proceedings Library 2021年第1期892卷 166-171页

作者： Hong Luo Jong Kyu Kim Yangang Xi E. Fred Schubert Jaehee Cho Cheolsoo Sone Yongjo Park Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute Troy USA Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute Troy USA Photonics Program Team Samsung Advanced Institute of Technology Suwon Korea

An optimized packaging configuration for high-power white-light-emitting diode (LED) lamps that employs a diffuse reflector cup, a remote phosphor and a hemi-spherically-shaped encapsulation is presented. Ray tracing simulations for this configuration show that the phosphor efficiency can be enhanced by up to 50% over conventional packages. It is experimentally shown that dichromatic LED lamps with remote phosphor and diffuse reflector cup configuration have higher phosphor efficiency by 15.4% for blue-pumped yellow phosphor and by 27% for ultraviolet-pumped blue phosphor over conventional packages. Those improvements are attributed to reduced absorption of the phosphorescence by the LED chip and the reduction of deterministic optical modes trapped inside the encapsulant.

关键词： packaging optoelectronic optical properties

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Highly Sensitive and Stable Non-Enzymatic Glucose Sensing Based on Nanostructure-Gated Organic Electrochemical Transistors with Self-Ph Calibration

SSRN

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SSRN 2025年

作者： Cheng, Huanyu Meng, Ke Zhu, Jia Zhang, Tianyao Zhang, Xianzhe Zhang, Yingying Chen, Xiangjie Li, Fan Tong, Yao Zhang, Senhao Qiu, Donghai Yang, Hongbo Liu, Shangbin Yin, Lan Zhao, Rui Huang, Libin Li, Tao Gao, Min Pan, Taisong Yang, Jian Lin, Yuan State Key Laboratory of Biotherapy and Cancer Center China School of Material and Energy University of Electronic Science and Technology of China Chengdu610054 China University of Electronics Science and Technology of China Quzhou324000 China Department of Engineering Science and Mechanics The Pennsylvania State University University ParkPA16802 United States Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Science Suzhou215011 China School of Materials Science and Engineering Tsinghua University Beijing100084 China Department of Gastroenterology West China Hospital Sichuan University Chengdu610041 China Research Center for Industries of the Future Biomedical Engineering Program School of Engineering Westlake University Zhejiang Hangzhou310030 China Medico-Engineering Cooperation on Applied Medicine Research Center University of Electronics Science and Technology of China Chengdu610054 China

Non-invasive, real-time, and continuous monitoring of the trace amount of glucose in near-neutral biofluids is significant for the daily care and treatment of diabetic patients or people with suboptimal health status. Despite improved sensing performance with novel low-dimensional materials or porous structures in various enzymatic and non-enzymatic electrochemical glucose sensors, they still suffer from high cost, poor long-term stability, and performance fluctuations in varied temperature and pH. This work synergistically combines an Au-modified porous laser-induced graphene (LIG) gate electrode with an organic electrochemical transistor (OECT) to create a flexible non-enzymatic glucose sensor. The resulting OECT-based non-enzymatic glucose sensor exhibits significantly enhanced sensitivity in near-neutral biofluids, the limit of detection (LOD) (0.08 μM in pH=7.4), excellent stability over time (degradation of ~10% in 180 days) and against temperature changes (30 °C - 40 °C), self-pH calibration capabilities, and uncompromised sensing performance with shrinking sizes. The highly consistent laser patterning technique and in situ galvanic reduction process for electrode modifications not only provide a simple yet versatile approach to creating low-cost, compact sensing platforms for precise and real-time sweat glucose measurements, but also support scalable production, allowing the correlation study of key biomarkers in sweat and blood. © 2025, The Authors. All rights reserved.

关键词： Coated wire electrodes

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Quantum Logic Enhanced Sensing in Solid-State Spin Ensembles

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Physical Review Letters 2023年第10期131卷 100801-100801页

作者： Nithya Arunkumar Kevin S. Olsson Jner Tzern Oon Connor A. Hart Dominik B. Bucher David R. Glenn Mikhail D. Lukin Hongkun Park Donhee Ham Ronald L. Walsworth Department of Physics Harvard University Cambridge Massachusetts 02138 USA John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge Massachusetts 02138 USA Quantum Technology Center University of Maryland College Park Maryland 20742 USA Department of Electrical and Computer Engineering University of Maryland College Park Maryland 20742 USA Intelligence Community Postdoctoral Research Fellowship Program University of Maryland College Park Maryland 20742 USA Department of Physics University of Maryland College Park Maryland 20742 USA Department of Chemistry Technical University of Munich Lichtenbergstraße 4 85748 Garching Germany Department of Chemistry and Chemical Biology Harvard University Cambridge Massachusetts 02138 USA

We demonstrate quantum logic enhanced sensitivity for a macroscopic ensemble of solid-state, hybrid two-qubit sensors. We achieve over a factor of 30 improvement in the single-shot signal-to-noise ratio, translating to an ac magnetic field sensitivity enhancement exceeding an order of magnitude for time-averaged measurements. Using the electronic spins of nitrogen vacancy (NV) centers in diamond as sensors, we leverage the on-site nitrogen nuclear spins of the NV centers as memory qubits, in combination with homogeneous and stable bias and control fields, ensuring that all of the ∼109 two-qubit sensors are sufficiently identical to permit global control of the NV ensemble spin states. We find quantum logic sensitivity enhancement for multiple measurement protocols with varying optimal sensing intervals, including XY8 and DROID-60 dynamical decoupling, as well as correlation spectroscopy, using an applied ac magnetic field signal. The results are independent of the nature of the target signal and broadly applicable to measurements using NV centers and other solid-state spin ensembles. This work provides a benchmark for macroscopic ensembles of quantum sensors that employ quantum logic or quantum error correction algorithms for enhanced sensitivity.

关键词： NV centers Nuclear & electron resonance Quantum memories Quantum metrology Quantum sensing

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Explainable Anatomical Learning and Deep Generative Models for Tumour Diagnosis

SSRN

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SSRN 2025年

作者： Mansouri, Sofiene Alazzam, Malik Bader Altowijri, Albaraa Ahmad Al-Musywel, Haifa A. Alhemaidi, Seham Sulieman Alsadoun, Ahmed Ahmad, Mohammad Department of Biomedical Technology College of Applied Medical Sciences in Al-Kharj Prince Sattam bin Abdulaziz University Al-Kharj11942 Saudi Arabia Department of Software Engineering Faculty of Information Technology Jadara University Irbid Jordan Department of Surgery College of Medicine University of Tabuk Tabuk Saudi Arabia for the College of Sciences Coordinator of the Training Unit for Medical Physics Students Physics Department Faculty of Sciences Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia Department of Surgery Division of Ophthalmology University of Tabuk Tabuk Saudi Arabia Department of Medical Surgical Nursing College of Nursing King Saud University Riyadh Saudi Arabia

This study aims to develop an interpretable deep learning model for tumor diagnosis that enhances the accuracy and explainability of anatomical segmentation. Scalar global indices, which are often insensitive to differences in asymmetry or regional configurations, are currently used to quantify changes in tumor and brain area. This is currently accomplished through the use of global indexes, which are currently used. Making an appropriate assessment of pathology-driven anatomical remodelling is one of the most essential phases in the process of diagnosing and treating a wide variety of illnesses. This step is one of the most important steps because it is one of the most important processes. In the last few years, deep learning algorithms have grown gaining popularity for the interpretation of medical images. Despite this popularity, the feature extraction and decision-making procedures of these systems are frequently not interpretable. Within the scope of this investigation, we provide a novel deep learning model that can be interpreted purpose of information analysis. We make use of a deep generative network that is equipped with a hierarchy of conditional latent variables in order to accurately represent a collection of anatomical segmentations. Because of this, we are able to carry out the task with more accuracy. At the very top of this hierarchy is a process in which simultaneous adjustments are made to a two-dimensional latent space in order to differentiate between a variety of clinical situations. A better knowledge of the classification landscape is made possible as a result of this. To further elucidate the classification process, the model's generative properties allow the segmentation space to represent the anatomical variability represented by the discriminative latent space. This is feasible as a result of this situation model may generate new data. © 2025, The Authors. All rights reserved.

关键词： Convolutional neural networks

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Dynamics of Associative Polymers with High Density of Reversible Bonds

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Physical Review Letters 2023年第22期130卷 228101-228101页

作者： Shifeng Nian Shalin Patil Siteng Zhang Myoeum Kim Quan Chen Mikhail Zhernenkov Ting Ge Shiwang Cheng Li-Heng Cai (蔡历恒) Soft Biomatter Laboratory Department of Materials Science and Engineering University of Virginia Charlottesville Virginia 22904 USA Department of Chemical Engineering and Materials Science Michigan State University East Lansing Michigan 48824 USA Department of Chemistry and Biochemistry University of South Carolina Columbia South Carolina 29208 USA State Key Lab Polymer Physics and Chemistry Changchun Institute of Applied Chemistry Renmin St. 5625 Changchun 130022 Jilin People’s Republic of China National Synchrotron Light Source-II Brookhaven National Laboratory Upton New York 11973 USA Department of Chemical Engineering University of Virginia Charlottesville Virginia 22904 USA Department of Biomedical Engineering University of Virginia Charlottesville Virginia 22904 USA

An associative polymer carries many stickers that can form reversible associations. For more than 30 years, the understanding has been that reversible associations change the shape of linear viscoelastic spectra by adding a rubbery plateau in the intermediate frequency range, at which associations have not yet relaxed and thus effectively act as crosslinks. Here, we design and synthesize new classes of unentangled associative polymers carrying unprecedentedly high fractions of stickers, up to eight per Kuhn segment, that can form strong pairwise hydrogen bonding of ∼20kBT without microphase separation. We experimentally show that reversible bonds significantly slow down the polymer dynamics but nearly do not change the shape of linear viscoelastic spectra. This behavior can be explained by a renormalized Rouse model that highlights an unexpected influence of reversible bonds on the structural relaxation of associative polymers.

关键词： Hydrogen bonds Rheology Polymer melts Polymer networks Polymer theory Rouse model

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LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping

arXiv

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arXiv 2022年

作者： Zhang, Jinwei Spincemaille, Pascal Zhang, Hang Nguyen, Thanh D. Li, Chao Li, Jiahao Kovanlikaya, Ilhami Sabuncu, Mert R. Wang, Yi Department of Biomedical Engineering Cornell University IthacaNY United States Department of Radiology Weill Medical College of Cornell University New YorkNY United States Department of Electrical and Computer Engineering Cornell University IthacaNY United States Department of Applied Physics Cornell University IthacaNY United States

Quantitative susceptibility mapping (QSM) involves acquisition and reconstruction of a series of images at multi-echo time points to estimate tissue field, which prolongs scan time and requires specific reconstruction technique. In this paper, we present our new framework, called Learned Acquisition and Reconstruction Optimization (LARO), which aims to accelerate the multi-echo gradient echo (mGRE) pulse sequence for QSM. Our approach involves optimizing a Cartesian multi-echo k-space sampling pattern with a deep reconstruction network. Next, this optimized sampling pattern was implemented in an mGRE sequence using Cartesian fan-beam k-space segmenting and ordering for prospective scans. Furthermore, we propose to insert a recurrent temporal feature fusion module into the reconstruction network to capture signal redundancies along echo time. Our ablation studies show that both the optimized sampling pattern and proposed reconstruction strategy help improve the quality of the multi-echo image reconstructions. Generalization experiments show that LARO is robust on the test data with new pathologies and different sequence parameters. Our code is available at https://***/Jinwei1209/***. © 2022, CC BY.

关键词： Image reconstruction

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Observation of the dual quantum spin Hall insulator by density-tuned correlations in a van der Waals monolayer

arXiv

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arXiv 2024年

作者： Tang, Jian Ding, Thomas Siyuan Chen, Hongyu Gao, Anyuan Qian, Tiema Huang, Zumeng Sun, Zhe Han, Xin Strasser, Alex Li, Jiangxu Geiwitz, Michael Shehabeldin, Mohamed Belosevich, Vsevolod Wang, Zihan Wang, Yiping Watanabe, Kenji Taniguchi, Takashi Bell, David C. Wang, Ziqiang Fu, Liang Zhang, Yang Qian, Xiaofeng Burch, Kenneth S. Shi, Youguo Ni, Ni Chang, Guoqing Xu, Su-Yang Ma, Qiong Department of Physics Boston College Chestnut HillMA United States Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore Singapore Department of Chemistry and Chemical Biology Harvard University CambridgeMA United States Department of Physics and Astronomy and California NanoSystems Institute University of California Los Angeles Los AngelesCA United States Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing China Department of Materials Science and Engineering Texas A&M University College StationTX United States Department of Physics and Astronomy University of Tennessee KnoxvilleTN United States Min H. Kao Department of Electrical Engineering and Computer Science University of Tennessee KnoxvilleTN United States Research Center for Electronic and Optical Materials National Institute for Materials Science Tsukuba Japan Research Center for Materials Nanoarchitectonics National Institute for Materials Science Tsukuba Japan Harvard John A. Paulson School of Engineering and Applied Sciences The Center for Nanoscale system Harvard University CambridgeMA United States Department of Physics Massachusetts Institute of Technology CambridgeMA United States CIFAR Azrieli Global Scholars program CIFAR Toronto Canada

The convergence of topology and correlations represents a highly coveted realm in the pursuit of novel quantum states of matter [1, 2]. Introducing electron correlations to a quantum spin Hall (QSH) insulator can lead to the emergence of a fractional topological insulator and other exotic time-reversal-symmetric topological order [3- 10], not possible in quantum Hall and Chern insulator systems. However, the QSH insulator with quantized edge conductance remains rare, let alone that with significant correlations. In this work, we report a novel dual QSH insulator within the intrinsic monolayer crystal of TaIrTe4, arising from the interplay of its single-particle topology and density-tuned electron correlations. At charge neutrality, monolayer TaIrTe4 demonstrates the QSH insulator that aligns with single-particle band structure calculations, manifesting enhanced nonlocal transport and quantized helical edge conductance. Interestingly, upon introducing electrons from charge neutrality, TaIrTe4 only shows metallic behavior in a small range of charge densities but quickly goes into a new insulating state, entirely unexpected based on TaIrTe4's single-particle band structure. This insulating state could arise from a strong electronic instability near the van Hove singularities (VHS), likely leading to a charge density wave (CDW). Remarkably, within this correlated insulating gap, we observe a resurgence of the QSH state, marked by the revival of nonlocal transport and quantized helical edge conduction. Our observation of helical edge conduction in a CDW gap could bridge spin physics and charge orders. The discovery of a dual QSH insulator introduces a new method for creating topological flat minibands via CDW superlattices, which offer a promising platform for exploring time-reversal-symmetric fractional phases and electromagnetism [3-5, 11, 12]. Copyright © 2024, The Authors. All rights reserved.

关键词： Charge density waves

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Exciton and carrier dynamics of binary layered Dion-Jacobson perovskites 29

Exciton and carrier dynamics of binary layered Dion-Jacobson...

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Ultrafast Phenomena and Nanophotonics XXIX 2025

作者： Hall, Siedah J. Hou, Jin Zhang, Hao Mohite, Aditya D. Sfeir, Matthew Y. Photonics Initiative Advanced Science Research Center City University of New York New YorkNY10031 United States Department of Physics The Graduate Center City University of New York New YorkNY10016 United States Department of Materials Science and NanoEngineering Rice University HoustonTX77005 United States Department of Chemical and Biomolecular Engineering Rice University HoustonTX77005 United States Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States

ISBN: (纸本)9781510684768

Two-dimensional hybrid halide perovskites have attracted considerable attention for their favorable excitonic properties and high structural tunability. A series of Dion-Jacobson (DJ) perovskites, 3AMP (MA)n-1PbnI3n+1 (3AMP = 3-(aminomethyl) piperidinium, MA = methylammonium, and n = 1, 2, 3, etc.), constituting a single dimensionality, n, have been investigated in recent years. However, little is known about the photophysics of DJ perovskites with binary inorganic thickness. Here we study the exciton and carrier dynamics of layered 3AMP PbI4 / 3AMP(MA) Pb2I7 thin films and exfoliated flakes. A new absorption feature (n = 1.5) is associated with this binary-composite DJ perovskite and is observed between the n = 1 and n = 2 neat film transitions. Ultrafast transient reflection measurements reveal this intermediate feature is exitonic in nature. Above bandgap pumping in exfoliated samples show the n = 1 resonance can be selectively pumped without populating n = 1.5. This behavior is distinct from non-layered binary perovskite mixtures where an intermediate state is not present and lower energy transitions, i.e. n = 2, have time dependent interconversion with n = 1. These results demonstrate the increased tunability of exciton resonance for DJ perovskites through layer engineering and optical control. Integration of these layers in device architecture may significantly improve functionality by further controlling allowed transitions, which serves to benefit the future of optoelectronics. © 2025 SPIE.

关键词： Excitons

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Towards seamless environmental prediction-development of Pan-Eurasian EXperiment(PEEX)modelling platform

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Big Earth Data 2024年第2期8卷 189-230页

作者： Alexander Mahura Alexander Baklanov Risto Makkonen Michael Boy Tuukka Petäjä Hanna KLappalainen Roman Nuterman Veli-Matti Kerminen Stephen R.Arnold Markus Jochum Anatoly Shvidenko Igor Esau Mikhail Sofiev Andreas Stohl Tuula Aalto Jianhui Bai Chuchu Chen Yafang Cheng Oxana Drofa Mei Huang Leena Järvi Harri Kokkola Rostislav Kouznetsov Tingting Li Piero Malguzzi Sarah Monks Mads Bruun Poulsen Steffen M.Noe Yuliia Palamarchuk Benjamin Foreback Petri Clusiu Till Andreas Soya Rasmussen Jun She Jens Havskov Sørensen Dominick Spracklen Hang Su Juha Tonttila Siwen Wang Jiandong Wang Tobias Wolf-Grosse Yongqiang Yu Qing Zhang Wei Zhang Wen Zhang Xunhua Zheng Siqi Li Yong Li Putian Zhou Markku Kulmala Faculty of Science Institute for Atmospheric and Earth System Research(INAR)/PhysicsUniversity of Helsinki(UHEL)HelsinkiFinland Science and Innovation Department World Meteorological Organization(WMO)GenevaSwitzerland Niels Bohr Institute University of CopenhagenCopenhagenDenmark Climate System Research Finnish Meteorological Institute(CSR-FMI)HelsinkiFinland School of Engineering Sciences Lappeenranta University of TechnologyLappeenrantaFinland Institute for Climate and Atmospheric Science School of Earth and EnvironmentUniversity of LeedsLeedsUK Biodiversity and Natural Resources Program International Institute for Applied Systems Analysis(IIASA)LaxenburgAustria Department of Physics and Technology UiT-The Arctic University of NorwayTromsoNorway Nansen Environmental and Remote Sensing Center(NERSC) BergenNorway Atmospheric Composition Finnish Meteorological Institute(AC-FMI)HelsinkiFinland Norwegian Institute for Air Research(NILU) KjellerNorway LAGEO Institute of Atmospheric PhysicsChinese Academy of Sciences(IAP-CAS)BeijingChina Max Planck Institute for Chemistry(MPI-Chem) MainzGermany Institute of Atmospheric Sciences and Climate National Research Council of Italy(CNR-15SAC)BolognaItaly Institute of Geographic Sciences and Natural Resources Research(IGSNRR) Chinese Academy of Sciences(CAS)BeijingChina Faculty of Science Helsinki Institute of Sustainability Science(HELSUS)University of Helsinki(UHEL)HelsinkiFinland Atmospheric Research Centre of Eastern Finland Finnish Meteorological Institute(ARCEF-FMI)KuopioFinland Institute of Atmospheric Physics Chinese Academy of Sciences(IAP-CAS)BeijingChina Department of Plant Physiology Estonian University of Life Sciences(EULS)Institute of Agricultural and Environmental Sciences(IAES)TartuEstonia Danish Meteorological Institute(DMI) CopenhagenDenmark State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric Physics(IAP)Chinese Academy of Sciences(CAS)BeijingChina Uni

The Pan-Eurasian Experiment Modelling Platform(PEEX-MP)is one of the key blocks of the PEEX Research *** PEEX MP has more than 30 models and is directed towards seamless envir-onmental *** main focus area is the Arctic-boreal regions and *** models used in PEEX-MP cover several main components of the Earth’s system,such as the atmosphere,hydrosphere,pedosphere and biosphere,and resolve the physicalchemicalbiological processes at different spatial and temporal scales and *** paper introduces and discusses PEEX MP multi-scale modelling concept for the Earth system,online integrated,forward/inverse,and socioeconomical modelling,and other approaches with a particular focus on applications in the PEEX geographical *** employed high-performance com-puting facilities,capabilities,and PEEX dataflow for modelling results are *** virtual research platforms(PEEXView,Virtual Research Environment,Web-based Atlas)for handling PEEX modelling and observational results are *** over-all approach allows us to understand better physical-chemicalbiological processes,Earth’s system interactions and feedbacks and to provide valuable information for assessment studies on evaluating risks,impact,consequences,*** population,envir-onment and climate in the PEEX *** work was also one of the last projects of *** Zilitinkevich,who passed away on 15 February *** the finalization took time,the paper was actually submitted in 2023 and we could not argue that the final paper text was agreed with him.

关键词： Multi-scale and-processes modelling concept seamless coupling high-performance computing data infrastructure virtual research platforms

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