检索结果-内蒙古大学图书馆

To Split or Not to Split: Dynamics of an Air Disk Formed under a Drop Impacting on a Pool

physical Review Letters 2020年第18期124卷 184501-184501页

作者： Zhen Jian Murad Ali Channa Abderrahmane Kherbeche Hossain Chizari Sigurdur T. Thoroddsen Marie-Jean Thoraval State Key Laboratory for Strength and Vibration of Mechanical Structures International Center for Applied Mechanics School of Aerospace Xi’an Jiaotong University Xi’an 710049 People’s Republic of China Division of Physical Sciences and Engineering King Abdullah University of Science and Technology (KAUST) Thuwal 23955-6900 Saudi Arabia

When a drop falls and impacts on a liquid pool, it entraps an air disk below the drop, which then contracts into a central bubble. Here, we use high-speed imaging and high-resolution numerical simulations to characterize the air-disk contraction dynamics for different liquid properties. We show that the air disk can contract into a single central bubble, form a toroidal bubble, or split vertically into two smaller bubbles. We demonstrate that the transitions between the different regimes can be separated by an Ohnesorge number, Ohe, based on the air-disk thickness. For the lowest Ohe, we find a new regime, where vortex shedding from the rim of the contracting air disk breaks the vertical symmetry and prevents the bubble from splitting in two.

关键词： Drop & bubble phenomena Drop interactions Drops & bubbles

来源：评论

学校读者我要写书评

暂无评论

Ionic Functionalization of Multivariate Covalent Organic Frameworks to Achieve an Exceptionally High Iodine-Capture Capacity

引用

Angewandte Chemie 2021年第41期133卷

作者： Dr. Yaqiang Xie Dr. Tingting Pan Dr. Qiong Lei Dr. Cailing Chen Dr. Xinglong Dong Dr. Youyou Yuan Dr. Jie Shen Dr. Yichen Cai Dr. Chunhui Zhou Prof. Dr. Ingo Pinnau Prof. Dr. Yu Han Advanced Membranes and Porous Materials (AMPM) Center Physical Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal Saudi Arabia Imaging and Characterization Core Lab KAUST Thuwal Saudi Arabia Material Science and Engineering Program Physical Sciences and Engineering Division KAUST Thuwal Saudi Arabia KAUST Catalysis Center Physical Sciences and Engineering Division KAUST Thuwal Saudi Arabia

Adsorption-based iodine (I 2 ) capture has great potential for the treatment of radioactive nuclear waste. In this study, we apply a “multivariate” synthetic strategy to construct ionic covalent organic frameworks (iCOFs) with a large surface area, high pore volume, and abundant binding sites for I 2 capture. The optimized material iCOF-AB-50 exhibits a static I 2 uptake capacity of 10.21 g g −1 at 75 °C and a dynamic uptake capacity of 2.79 g g −1 at ≈400 ppm I 2 and 25 °C, far exceeding the performances of previously reported adsorbents under similar conditions. iCOF-AB-50 also exhibits fast adsorption kinetics, good moisture tolerance, and full reusability. The promoting effect of ionic groups on I 2 adsorption has been elucidated by experimentally identifying the iodine species adsorbed at different sites and calculating their binding energies. This work demonstrates the essential role of balancing the textural properties and binding sites of the adsorbent in achieving a high I 2 capture performance.

关键词： adsorption Coulomb interaction covalent organic frameworks iodine capture

来源：评论

学校读者我要写书评

暂无评论

Impulse-driven Richtmyer-Meshkov instability in Hall-magnetohydrodynamics

引用

physical Review Fluids 2019年第10期4卷 103902-103902页

作者： Naijian Shen D. I. Pullin Vincent Wheatley Ravi Samtaney Graduate Aerospace Laboratories California Institute of Technology Pasadena California 91125 USA School of Mechanical and Mining Engineering University of Queensland QLD 4072 Australia Mechanical Engineering Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia

We utilize the incompressible, Hall-magnetohydrodynamics (MHD) model for conducting fluids to investigate the effect of Hall current on the stability of an impulsively accelerated, perturbed density interface, or contact discontinuity (CD) separating two fluids in the presence of a background magnetic field. This is used as a simple model, in a conducting fluid, of a Richtmyer-Meshkov type flow that is characterized in a neutral fluid by a shock-wave-density-interface interaction. Two versions of the Hall-MHD equations are explored. In the first, the ions are treated as an incompressible fluid but the electron gas retains its compressibility, while for the second version the incompressible limit for both species is invoked. The linearized equations of motion are first formulated for a sinusoidal interface perturbation and then solved as an initial-value problem using a Laplace transform method with general numerical inversion but with analytical inversion for some limiting-parameter cases. While the field equations are identical for both Hall-MHD models, the CD-jump conditions differ leading to qualitatively similar but quantitatively different CD dynamics. For both models, the presence of the magnetic field is found to suppress the incipient interfacial growth associated with neutral-gas, Richtmyer-Meshkov instability (RMI). When the ion skin depth is finite, the vorticity dynamics that drive the suppression of the RMI differ markedly from the ideal MHD, RMI flow. On the interface, the Hall-MHD description allows the presence of a tangential slip velocity which leads to finite circulation deposition. Away from the interface, vorticity is produced by the perturbed magnetic fields and transported to infinity by a dispersive wave system. This leads to decay of the velocity slip at the interface with the effect that interface growth remains bounded but distorted by damped oscillations associated with the ion cyclotron effect. The flow behavior for several limits of the

关键词： Magnetohydrodynamics Richtmyer-Meshkov instability

来源：评论

学校读者我要写书评

暂无评论

Nonreciprocal transport in a bilayer of MnBi2Te4 and Pt

arXiv

引用

arXiv 2022年

作者： Ye, Chen Xie, Xiangnan Lv, Wenxing Huang, Ke Yang, Allen Jian Jiang, Sicong Liu, Xue Zhu, Dapeng Qiu, Xuepeng Tong, Mingyu Zhou, Tong Hsu, Chuang-Han Chang, Guoqing Lin, Hsin Li, Peisen Yang, Kesong Wang, Zhenyu Jiang, Tian Wang, Xiao Renshaw Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link 637371 Singapore State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China Physics Laboratory Industrial Training Center Shenzhen Polytechnic Guangdong Shenzhen518055 China Department of NanoEngineering Program of Chemical Engineering University of California La Jolla San DiegoCA92093-0448 United States Program of Materials Science and Engineering University of California La Jolla San DiegoCA92093-0418 United States Institutes of Physical Science and Information Technology Anhui University Hefei230601 China Fert Beijing Institute MIIT Key Laboratory of Spintronics School of Integrated Circuit Science and Engineering Beihang University Beijing100191 China Beihang-Goertek Joint Microelectronics Institute Qingdao Research Institute Beihang University Qingdao266000 China Shanghai Key Laboratory of Special Artificial Microstructure Materials and Technology School of Physics Science and Engineering Tongji University Shanghai200092 China College of Advanced Interdisciplinary Studies National University of Defense Technology Changsha410073 China Insitute of Physics Academia Sinica Taipei115229 Taiwan College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China National Innovation Institute of Defense Technology Academy of Military Sciences PLA China Beijing100010 China Beijing Academy of Quantum Information Sciences Beijing100084 China Beijing Institute for Advanced Study National University of Defense Technology Changsha410073 China School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Ave 639798 Singapore

MnBi2Te4 (MBT) is the first intrinsic magnetic topological insulator with the interaction of spin-momentum locked surface electrons and intrinsic magnetism, and it exhibits novel magnetic and topological phenomena. Recent studies suggested that the interaction of electrons and magnetism can be affected by the Mn-doped Bi2Te3 phase at the surface due to inevitable structural defects. Here we report an observation of nonreciprocal transport, i.e. current-direction-dependent resistance, in a bilayer composed of antiferromagnetic MBT and nonmagnetic Pt. The emergence of the nonreciprocal response below the Néel temperature confirms a correlation between nonreciprocity and intrinsic magnetism in the surface state of MBT. The angular dependence of the nonreciprocal transport indicates that nonreciprocal response originates from the asymmetry scattering of electrons at the surface of MBT mediated by magnon. Our work provides an insight into nonreciprocity arising from the correlation between magnetism and Dirac surface electrons in intrinsic magnetic topological insulators. © 2022, CC BY.

关键词： Magnetism

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to ‘The causal relationship between melt pool geometry and energy absorption measured in real time during laser-based manufacturing’ [Applied Materials Today 23 (2021) 101049]

引用

Applied Materials Today 2022年 27卷

作者： Brian J. Simonds Jack Tanner Alexandra Artusio-Glimpse Paul A. Williams Niranjan Parab Cang Zhao Tao Sun Applied Physics Division Physical Measurements Laboratory National Institute of Standards and Technology Boulder CO 80305 United States X-ray Science Division Advanced Photon Source Argonne National Laboratory Lemont IL 60439 United States Department of Mechanical Engineering Tsinghua University Beijing China Department of Materials Science and Engineering University of Virginia Charlottesville VA United States

来源：评论

学校读者我要写书评

暂无评论

High harmonic generation anisotropy from a monolayer MoS2

High harmonic generation anisotropy from a monolayer MoS2

引用

2021 OSA Nonlinear Optics, NLO 2021

作者： Hollinger, Richard Yue, Lun Uzundal, Can B. Gan, Ziyang George, Antony Spielmann, Christian Kartashov, Daniil Turchanin, Andrey Qiu, Diana Y. Gaarde, Mette B. Zuerch, Michael Department of Chemistry University of California Berkeley 237B Hildebrand Hall BerkeleyCA94720 United States Lawrence Berkeley National Laboratory Materials Sciences Division BerkeleyCA94720 United States Department of Physics and Astronomy Louisiana State University Baton RougeLA70803 United States Institute of Physical Chemistry Friedrich Schiller University Jena Lessingsstr. 10 Jena07743 Germany Institute of Optics and Quantum Electronics Friedrich-Schiller-University Jena Max-Wien-Platz 1 Jena07743 Germany Department of Mechanical Engineering and Materials Science Yale University New HavenCT06520 United States

High harmonic generation (HHG) versus the crystal orientation of a monolayer MoS2 is investigated experimentally. It is found that the laser wavelength and the multiband electronic structure plays an important role in... 详细信息

ISBN: (纸本)9781557528209

关键词： Harmonic generation

来源：评论

学校读者我要写书评

暂无评论

Improving Deep Learning Models for Pediatric Low-Grade Glioma Tumors Molecular Subtype Identification Using 3D Probability Distributions of Tumor Location

arXiv

引用

arXiv 2022年

作者： Namdar, Khashayar Wagner, Matthias W. Kudus, Kareem Hawkins, Cynthia Tabori, Uri Ertl-Wagner, Birgit B. Khalvati, Farzad TorontoON Canada Neurosciences & Mental Health Research Program SickKids Research Institute TorontoON Canada Department of Medical Imaging University of Toronto TorontoON Canada Department of Neurooncology The Hospital for Sick Children TorontoON Canada Department of Paediatric Laboratory Medicine Division of Pathology The Hospital for Sick Children University of Toronto Canada Institute of Medical Science University of Toronto TorontoON Canada Department of Computer Science University of Toronto TorontoON Canada Department of Mechanical and Industrial Engineering University of Toronto TorontoON Canada Vector Institute TorontoON Canada NVIDIA Deep Learning Institute AustinTX United States

Background and Purpose: Pediatric low-grade glioma (pLGG) is the most common type of brain tumor in children, and identification of molecular markers for pLGG is crucial for successful treatment planning. Convolutional Neural Network (CNN) models for pLGG subtype identification rely on tumor segmentation. We hypothesize tumor segmentations are suboptimal and thus, we propose to augment the CNN models using tumor location probability in MRI data. Materials and Methods: Our REB-approved retrospective study included MRI Fluid-Attenuated Inversion Recovery (FLAIR) sequences of 143 BRAF fused and 71 BRAF V600E mutated tumors. Tumor segmentations (regions of interest (ROIs)) were provided by a pediatric neuroradiology fellow and verified by a senior pediatric neuroradiologist. In each experiment, we randomly split the data into development and test with an 80/20 ratio. We combined the 3D binary ROI masks for each class in the development dataset to derive the probability density functions (PDF) of tumor location, and developed three pipelines: location-based, CNN-based, and hybrid. Results: We repeated the experiment with different model initializations and data splits 100 times and calculated the Area Under Receiver Operating Characteristic Curve (AUC). The location-based classifier achieved an AUC of 77.90, 95% confidence interval (CI) (76.76, 79.03). CNN-based classifiers achieved AUC of 86.11, CI (84.96, 87.25), while the tumor-location-guided CNNs outperformed the formers with an average AUC of 88.64 CI (87.57, 89.72), which was statistically significant (Student’s t-test p-value 0.0018). Conclusion: We achieved statistically significant improvements by incorporating tumor location into the CNN models. Our results suggest that manually segmented ROIs may not be optimal. Copyright © 2022, The Authors. All rights reserved.

关键词： Location

来源：评论

学校读者我要写书评

暂无评论

aflow++: a C++ framework for autonomous materials design

arXiv

引用

arXiv 2022年

作者： Oses, Corey Esters, Marco Hicks, David Divilov, Simon Eckert, Hagen Friedrich, Rico Mehl, Michael J. Smolyanyuk, Andriy Campilongo, Xiomara van de Walle, Axel Schroers, Jan Kusne, A. Gilad Takeuchi, Ichiro Zurek, Eva Nardelli, Marco Buongiorno Fornari, Marco Lederer, Yoav Levy, Ohad Toher, Cormac Curtarolo, Stefano Department of Mechanical Engineering and Materials Science Duke University DurhamNC27708 United States Center for Autonomous Materials Design Duke University DurhamNC27708 United States LIFT American Lightweight Materials Manufacturing Innovation Institute DetroitMI48216 United States Institute of Ion Beam Physics and Materials Research Helmholtz-Zentrum Dresden-Rossendorf Dresden01328 Germany Theoretical Chemistry Technische Universität Dresden Dresden01062 Germany Institute of Solid State Physics Technische Universität Wien WienA-1040 Austria School of Engineering Brown University ProvidenceRI02912 United States Department of Mechanical Engineering and Materials Science Yale University New HavenCT06511 United States Materials Measurement Science Division National Institute of Standards and Technology GaithersburgMD20899 United States Department of Materials Science and Engineering University of Maryland College ParkMD20742 United States Department of Chemistry State University of New York at Buffalo BuffaloNY14260 United States Department of Physics Department of Chemistry University of North Texas DentonTX76203 United States Santa Fe Institute Santa FeNM87501 United States Department of Physics Science of Advanced Materials Program Central Michigan University Mount PleasantMI48859 United States Department of Physics NRCN P.O. Box 9001 Beer-Sheva84190 Israel Department of Materials Science and Engineering Department of Chemistry and Biochemistry University of Texas at Dallas RichardsonTX75080 United States

The realization of novel technological opportunities given by computational and autonomous materials design requires efficient and effective frameworks. For more than two decades, aflow++ (Automatic-Flow Framework for Materials Discovery) has provided an interconnected collection of algorithms and workflows to address this challenge. This article contains an overview of the software and some of its most heavily-used functionalities, including algorithmic details, standards, and examples. Key thrusts are highlighted: the calculation of structural, electronic, thermodynamic, and thermomechanical properties in addition to the modeling of complex materials, such as high-entropy ceramics and bulk metallic glasses. The aflow++ software prioritizes interoperability, minimizing the number of independent parameters and tolerances. It ensures consistency of results across property sets — facilitating machine learning studies. The software also features various validation schemes, offering real-time quality assurance for data generated in a high-throughput fashion. Altogether, these considerations contribute to the development of large and reliable materials databases that can ultimately deliver future materials systems. © 2022, CC BY.

关键词： Quality assurance

来源：评论

学校读者我要写书评

暂无评论

Observation of anti-Klein tunneling of chiral phonons

引用

science Bulletin 2025年

作者： Hongzhu Li Yang Liu Qian Ding Tianzhi Yang Chenglin Han Mengxin He Jian-Hua Jiang Ying Li Department of Mechanics Tianjin University Tianjin 300072 China School of Physical Science and Technology & Collaborative Innovation Center of Suzhou Nano Science and Technology Soochow University Suzhou 215006 China School of Mechanical Engineering and Automation Northeastern University Shenyang 110819 China School of Biomedical Engineering Division of Life Sciences and Medicine University of Science and Technology of China Hefei 230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Suzhou 215123 China School of Physical Sciences University of Science and Technology of China Hefei 230026 China State Key Laboratory of Extreme Photonics and Instrumentation Zhejiang Key Laboratory of Intelligent Electromagnetic Control and Advanced Electronic Zhejiang University Hangzhou 310027 China International Joint Innovation Center The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China

来源：评论

学校读者我要写书评

暂无评论

Lattice Misorientation Evolution and Grain Refinement in Al-Si Alloys under High-Strain Shear Deformation

SSRN

引用

SSRN 2021年

作者： Gwalani, Bharat Fu, Wenkai Olszta, Mathew Silverstein, Joshua Yadav, Digvijay R. Manimunda, Praveena Guzman, Anthony Xie, Kelvin Rohatgi, Aashish Mathaudhu, Suveen Powell, Cynthia A. Sushko, Peter V. Li, Yulan Devaraj, Arun Physical and Computational Sciences Directorate Pacific Northwest National Laboratory RichlandWA99354 United States Energy and Environment Directorate Pacific Northwest National Laboratory RichlandWA99354 United States Applied Process Engineering Laboratory Pacific Northwest National Laboratory RichlandWA99354 United States Department of Materials Science and Engineering Texas A&M University College StationTX77843 United States Bruker Nano Surfaces Division 9625 West 76th Street Eden PrairieMN55344 United States Material Science and Engineering Program University of California Riverside RiversideCA United States

The starting alloy microstructure can be tailored to achieve varying degrees of grain refinement and enhance mechanical properties through severe plastic shear deformation during solid-phase processing. Crystal plasticity-based grain misorientation modeling, coupled with systematic pin-on-disk tribometry-based subsurface shear deformation experiments on as-cast Al-xSi alloys (x = 0, 1, 4 at %), was conducted. The post-deformation microstructural analysis, through a combined computational and experimental approach, conclusively shows that the initial volume fraction of the hard Si phase enhances the evolution of local lattice misorientation, leading to efficient grain refinement during severe plastic shear deformation. The shear-deformation–induced nanostructure resulted in more than double the nanoindentation hardness in the processed alloy. © 2021, The Authors. All rights reserved.

关键词： Aluminum alloys

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：