检索结果-内蒙古大学图书馆

Toward Signed Distance Function based Metamaterial Design: Neural Operator Transformer for Forward Prediction and Diffusion Model for Inverse Design

arXiv

引用

arXiv 2025年

作者： Liu, Qibang Koric, Seid Abueidda, Diab Meidani, Hadi Geubelle, Philippe National Center for Supercomputing Applications University of Illinois Urbana-Champaign UrbanaIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Aerospace Engineering Grainger College of Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Mechanical Science and Engineering Grainger College of Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Civil and Environmental Engineering Grainger College of Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Industrial and Manufacturing Systems Engineering Kansas State University ManhattanKS66506 United States Civil and Urban Engineering Department New York University Abu Dhabi United Arab Emirates

The inverse design of metamaterial architectures presents a significant challenge, particularly for nonlinear mechanical properties involving large deformations, buckling, contact, and plasticity. Traditional methods, such as gradient-based optimization, and recent generative deep-learning approaches often rely on binary pixel-based representations, which introduce jagged edges that hinder finite element (FE) simulations and 3D printing. To overcome these challenges, we propose an inverse design framework that utilizes a signed distance function (SDF) representation combined with a conditional diffusion model. The SDF provides a smooth boundary representation, eliminating the need for post-processing and ensuring compatibility with FE simulations and manufacturing methods. A classifier-free guided diffusion model is trained to generate SDFs conditioned on target macroscopic stress-strain curves, enabling efficient one-shot design synthesis. To assess the mechanical response and the quality of the generated designs, we introduce a forward prediction model based on Neural Operator Transformers (NOT), which accurately predicts homogenized stress-strain curves and local solution fields for arbitrary geometries with irregular query meshes. This approach enables a closed-loop process for general metamaterial design, offering a pathway for the development of advanced functional materials. © 2025, CC BY.

关键词： Metamaterials

来源：评论

学校读者我要写书评

暂无评论

Geometry-Informed Neural Operator Transformer

arXiv

引用

arXiv 2025年

作者： Liu, Qibang Zhong, Vincient Meidani, Hadi Abueidda, Diab Koric, Seid Geubelle, Philippe National Center for Supercomputing Applications University of Illinois Urbana-Champaign UrbanaIL61801 United States Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign UrbanaIL61801 United States The Grainger College of Engineering Department of Aerospace Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States The Grainger College of Engineering Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States The Grainger College of Engineering Department of Civil and Environmental Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States Civil and Urban Engineering Department New York University Abu Dhabi United Arab Emirates Department of Industrial and Manufacturing Systems Engineering Kansas State University ManhattanKS66506 United States

Machine-learning-based surrogate models offer significant computational efficiency and faster simulations compared to traditional numerical methods, especially for problems requiring repeated evaluations of partial differential equations. This work introduces the Geometry-Informed Neural Operator Transformer (GINOT), which integrates the transformer architecture with the neural operator framework to enable forward predictions for arbitrary geometries. GINOT encodes the surface points cloud of a geometry using a sampling and grouping mechanism combined with an attention mechanism, ensuring invariance to point order and padding while maintaining robustness to variations in point density. The geometry information is seamlessly integrated with query points in the solution decoder through the attention mechanism. The performance of GINOT is validated on multiple challenging datasets, showcasing its high accuracy and strong generalization capabilities for complex and arbitrary 2D and 3D geometries. © 2025, CC BY.

关键词： Partial differential equations

来源：评论

学校读者我要写书评

暂无评论

Borehole research in New York State can advance utilization of low-enthalpy geothermal energy, management of potential risks, and understanding of deep sedimentary and crystalline geologic systems

Borehole research in New York State can advance utilization ...

引用

作者： Jordan, Teresa Fulton, Patrick Tester, Jefferson Bruhn, David Asanuma, Hiroshi Harms, Ulrich Wang, Chaoyi Schmitt, Doug Vardon, Philip J. Hofmann, Hannes Pasquini, Tom Smith, Jared Earth and Atmospheric Sciences Cornell University IthacaNY14853 United States Chemical and Biomolecular Engineering Cornell University IthacaNY14853 United States Civil Engineering and Geosciences Delft University of Technology Delft2600 Netherlands National Institute of Advanced Industrial Science and Engineering Fukushina Renewable Energy Research Institute Koriyama Fukushima Prefecture963-0298 Japan ICDP/Geomechanics and Scientific Drilling GFZ German Research Centre for Geosciences Potsdam14473 Germany Physics and Astronomy Purdue University West LafayetteIN47907 United States Earth Atmospheric and Planetary Sciences Purdue University West LafayetteIN47907 United States Geoscience and Engineering Delft University of Technology Delft2628 CN Netherlands Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences Potsdam14473 Germany Gulf Plains Prospecting Company KingwoodTX77345 United States Engineering Systems and Environment University of Virginia CharlottesvilleVA22904 United States

In January 2020, a scientific borehole planning workshop sponsored by the International Continental Scientific Drilling Program was convened at Cornell University in the northeastern United States. Cornell is planning to drill test wells to evaluate the potential to use geothermal heat from depths in the range of 2700-4500 m and rock temperatures of about 60 to 120 °C to heat its campus buildings. Cornell encourages the Earth sciences community to envision how these boreholes can also be used to advance high-priority subsurface research questions. Because nearly all scientific boreholes on the continents are targeted to examine iconic situations, there are large gaps in understanding of the "average" intraplate continental crust. Hence, there is uncommon and widely applicable value to boring and investigating a "boring" location. The workshop focused on designing projects to investigate the coupled thermal-chemical-hydrological-mechanical workings of continental crust. Connecting the practical and scientific goals of the boreholes are a set of currently unanswered questions that have a common root: the complex relationships among pore pressure, stress, and strain in a heterogeneous and discontinuous rock mass across conditions spanning from natural to human perturbations and short to long timescales. The need for data and subsurface characterization vital for decision-making around the prospective Cornell geothermal system provides opportunities for experimentation, measurement, and sampling that might lead to major advances in the understanding of hydrogeology, intraplate seismicity, and fluid/chemical cycling. Subsurface samples could also enable regional geological studies and geobiology research. Following the workshop, the U.S. Department of Energy awarded funds for a first exploratory borehole, whose proposed design and research plan rely extensively on the ICDP workshop recommendations. © 2020 Copernicus GmbH. All rights reserved.

关键词： Boreholes

来源：评论

学校读者我要写书评

暂无评论

Author Correction: Pressure-induced charge amorphisation in BiNiO3

引用

Nature communications 2025年第1期16卷 2713页

作者： Wei-Tin Chen Takumi Nishikubo Yuki Sakai Hena Das Masayuki Fukuda Zhao Pan Naoki Ishimatsu Masaichiro Mizumaki Naomi Kawamura Saori I Kawaguchi Olga Smirnova Mathew G Tucker Tetsu Watanuki Akihiko Machida Shigehiro Takajo Yoshiya Uwatoko Yuichi Shimakawa Mikio Takano Masaki Azuma J Paul Attfield Center for Condensed Matter Sciences (CCMS) National Taiwan University Taipei Taiwan ROC. Center of Atomic Initiative for New Materials (AI-Mat) National Taiwan University Taipei Taiwan ROC. Taiwan Consortium of Emergent Crystalline Materials National Science and Technology Council Taipei Taiwan ROC. Kanagawa Institute of Industrial Science and Technology Ebina Kanagawa Japan. Materials and Structures Laboratory Institute of Integrated Research Institute of Science Tokyo Yokohama Japan. Neutron Science and Technology Center Comprehensive Research Organization for Science and Society Tokai Ibaraki Japan. Advanced Manufacturing Research Institute National Institute of Advanced Industrial Science and Technology Tsukuba Ibaraki Japan. Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Sciences Beijing China. Graduate School of Advanced Science and Engineering Hiroshima University 1-3-1 Kagamiyama Higashihiroshima Hiroshima Japan. Geodynamics Research Center Ehime University Matsuyama Ehime Japan. Japan Synchrotron Radiation Research Institute SPring-8 Sayo Hyogo Japan. Faculty of Science Kumamoto University Kurokami Kumamoto Japan. Institute for Chemical Research Kyoto University Uji Kyoto Japan. ISIS Neutron and Muon Source Rutherford Appleton Laboratory Chilton Didcot UK. Neutron Scattering Division Oak Ridge National Laboratory Oak Ridge TN USA. Synchrotron Radiation Research Center National Institutes for Quantum Science and Technology (QST) Sayo Hyogo Japan. Institute for Solid State Physics University of Tokyo Kashiwa Chiba Japan. Research Institute for Production Development Sakyo-ku Kyoto Japan. Kanagawa Institute of Industrial Science and Technology Ebina Kanagawa Japan. mazuma@msl.titech.ac.jp. Materials and Structures Laboratory Institute of Integrated Research Institute of Science Tokyo Yokohama Japan. mazuma@msl.titech.ac.jp. Research Center for Autonomous Systems Materialogy (ASMat

来源：评论

学校读者我要写书评

暂无评论

Experimental Studies on Spatial Resolution of a Delay-Line Current-Biased Kinetic-Inductance Detector

arXiv

引用

arXiv 2025年

作者： Vu, The Dang Shishido, Hiroaki Aizawa, Kazuya Oku, Takayuki Oikawa, Kenichi Harada, Masahide Kojima, Kenji M. Miyajima, Shigeyuki Soyama, Kazuhiko Koyama, Tomio Hidaka, Mutsuo Suzuki, Soh Y. Tanaka, Manobu M. Machida, Masahiko Kawamata, Shuichi Ishida, Takekazu Division of Quantum and Radiation Engineering Osaka Metropolitan University Sakai Osaka599-8570 Japan Materials and Life Science Division J-PARC Center JAEA Ibaraki Tokai319-1195 Japan Equipment Sharing Center for Advanced Research and Innovation Osaka Metropolitan University Sakai Osaka599-8570 Japan Centre for Molecular and Materials Science TRIUMF 4004 Wesbrook Mall VancouverBCV6T 2A3 Canada Advanced ICT Research Institute National Institute of Information and Communications Technology 588-2 Iwaoka Nishi-ku Hyogo Kobe651-2492 Japan Advanced Industrial Science and Technology Ibaraki Tsukuba305-8568 Japan Ibaraki Tsukuba305-0801 Japan Ibaraki Tsukuba305-0801 Japan Center for Computational Science & e-Systems JAEA Chiba Kashiwa277-0871 Japan

A current-biased kinetic inductance detector (CB-KID) is a novel superconducting detector to construct a neutron transmission imaging system. The characteristics of a superconducting neutron detector have been systematically studied to improve spatial resolution of our CB-KID neutron detector. In this study, we investigated the distribution of spatial resolutions under different operating conditions and examined the homogeneity of spatial resolutions in the detector in detail. We used a commercial standard Gd Siemens-star pattern as a conventional method to estimate the spatial resolution and a lab-made 10B-dot array intended to examine detailed profiles on a distribution of spatial resolutions. We found that discrepancy in propagation velocities in the detector affected the uniformity of the spatial resolutions in neutron imaging. We analyzed the ellipsoidal line profiles along the circumferences of several different test circles in the Siemens-star image to find a distribution of spatial resolutions. Note that we succeeded in controlling the detector temperature precisely enough to realize stable propagation velocities of the signals in the detector to achieve the best spatial resolution with a delay-line CB-KID technique. Copyright © 2025, The Authors. All rights reserved.

关键词： Neutron detectors

来源：评论

学校读者我要写书评

暂无评论

High-Efficiency InAs-InGaAs Quantum Dash Solar Cells Developed Through Current Constraint engineering

High-Efficiency InAs-InGaAs Quantum Dash Solar Cells Develop...

引用

IEEE Conference on Photovoltaic Specialists

作者： Yoshitaka Okada Naoya Miyashita Yusuke Oteki Yasushi Shoji Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan Dept. of Electrical Engineering and Information Systems The University of Tokyo Tokyo Japan National Institute of Advanced Industrial Science and Technology (AIST) Ibaraki Japan

In principle, quantum-dot intermediate band solar cell (QD-IBSC) operates at a higher current density than a III-V multijunction solar cell (MJSC). Due to this inherent property, heat management becomes important when it is operated under a high concentrated illumination. In this work, we propose one way to circumvent this issue, where a wide bandgap cell is placed on top of QD-IBSC, which acts as a current constraint cell, but instead leads to a higher V OC . We demonstrate a 32.1% efficiency under 225 suns with a bonded InGaP/GaAs widegap cell // InAs-InGaAs QDSC configuration.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Long-term Effect of Experiencing System Malfunction on Driver Take-over Control in Conditional Driving Automation

Long-term Effect of Experiencing System Malfunction on Drive...

引用

IEEE International Conference on systems, Man and Cybernetics

作者： Huiping Zhou Makoto Itoh Satoshi Kitazaki Faculty of Engineering Information and Systems University of Tsukuba Tsukuba-city Japan Automotive Human Factors Research Center National Institute of Advanced Industrial Science and Technology Tsukuba-city Japan

The paper aims to investigate how driving experience on system malfunction impacts driver take-over control on a long-term basis when he or she uses the conditionally driving automation. We designed a two-factorial (driving experience × knowledge of system limitation) driving simulator experiment at training and practicing phases between which there was a two-month period. All seventy-two people (36.2 ± 15.6 years old) participate into the data collection via driving simulators. The experimental results indicated that participants with the malfunction-experience at training reacted to a malfunction occurring at the two-month-later practicing phase. It is demonstrated that the experience was contributable for a long term. Also, it was shown that instructing the concept of the request to intervene (RtI) was attributed to rapidly taking-over car control. The effect of knowledge was significantly shown at the early training stage, and it was getting less as the driving experience was being accumulated. Furthermore, drivers' subjective assessment suggested that driver trust to driving automation would change with the accumulated experience. Meanwhile, the change was influenced by the acquired knowledge and experience at the training phase. Consequently, this study revealed the importance of experiencing system malfunction and instructing the knowledge at a learning/training period that will be helpful for drivers to achieve moderate driver-automation interaction.

关键词： Training Automobiles Automation Accidents Task analysis Wheels

来源：评论

学校读者我要写书评

暂无评论

Automatic Labeled LiDAR Data Generation based on Precise Human Model

arXiv

引用

arXiv 2019年

作者： Kim, Wonjik Tanaka, Masayuki Okutomi, Masatoshi Sasaki, Yoko Department of Systems and Control Engineering School of Engineering Tokyo Institute of Technology Meguto-ku Tokyo152-8550 Japan Artificial Intelligence Research Center National Institute of Advanced Industrial Science and Technology Koto-ku Tokyo135-0064 Japan

Following improvements in deep neural networks, stateof-the-Art netwy depends on the training data. An issue with collecting training data is labeling. Labeling by humans is necessary to obtain the ground truth label;however, labeling requires huge costs. Therefore, we propose an automatic labeled data generation pipeline, for which we can change any parameters or data generation environments. Our approach uses a human model named Dhaiba and a background of Miraikan and consequently generated realistic artificial data. We present 500k+ data generated by the proposed pipeline. This paper also describes the specification oforks have been proposed for human recog-nition using point clouds captured by LiDAR. However, the performance of these networks strongl the pipeline and data details with evaluations of various approaches. Copyright © 2019, The Authors. All rights reserved.

关键词： Pipelines

来源：评论

学校读者我要写书评

暂无评论

Analysis of Relationships Between Amount of Physical Activity of Patients in Rehabilitation and Their ADL Scores Using Multidimensional PCA

Analysis of Relationships Between Amount of Physical Activit...

引用

International Conference on Mechatronics and Intelligent Robotics, ICMIR 2017

作者： Ishida, Akio Kawakami, Keito Furushima, Daisuke Yamamoto, Naoki Murakami, Jun Faculty of Liberal Studies Kumamoto College National Institute of Technology Kumamoto Japan Advanced Course of Electronics and Information Systems Engineering Kumamoto College National Institute of Technology Kumamoto Japan Division of Health Sciences Graduate School of Medicine Osaka University Osaka Japan Department of Human-Oriented Information Systems Engineering Kumamoto College National Institute of Technology Kumamoto Japan

ISBN: (纸本)9783319659770

This paper investigates relationships between the ADL evaluations of convalescent stroke patients in rehabilitation and their physical activity amounts measured by an accelerometer. A previous study performed a correlation analysis between the activity amount and two FIM items (i.e., motor FIM and cognitive FIM), which is one of the ADL evaluations, and showed the existence of a significant correlation between both of them. In this paper, we performed a correlation analysis and also did a multidimensional PCA (MPCA) of data matrix and tensors, respectively, constructed from more detailed FIM items than above. As the results of the correlation analysis, we showed that the correlation coefficients of the activity amount of walking when compared the motor and cognitive FIM were relatively large, and that the similar tendency to the result of the previous study was obtained. By considering the detailed FIM items, we noticed that correlation coefficients of the locomotion subscale of FIM compared with the walking calories and the number of walking steps were the largest. Furthermore, from the results of performing MPCA, we found several pairs of principal component scores with higher correlation coefficients. The above-mentioned results suggest that the use of accelerometer is considered to be effective in grasping patients’ FIM scores. © 2018, Springer International Publishing AG.

关键词： Accelerometers

来源：评论

学校读者我要写书评

暂无评论

Edge cache-assisted secure low-latency millimeter wave transmission

arXiv

引用

arXiv 2020年

作者： Hao, Wanming Zeng, Ming Sun, Gangcan Xiao, Pei School of Information Engineering Henan Institute of Advanced Technology Zhengzhou University Zhengzhou450001 China National Center for International Joint Research of Electronic Materials and Systems Zhengzhou450001 China 5G Innovation Center Institute of Communication Systems University of Surrey GuildfordGU2 7XH United Kingdom Faculty of Science and Engineering Laval University QuebecG1V0A6 Canada Faculty of Engineering and Applied Science Memorial University St. JohnsNLA1B 3X9 Canada School of Information Engineering Institute of Industrial Technology Zhengzhou University Zhengzhou450001 China

In this paper, we consider an edge cache-assisted millimeter wave cloud radio access network (C-RAN). Each remote radio head (RRH) in the C-RAN has a local cache, which can pre-fetch and store the files requested by the actuators. Multiple RRHs form a cluster to cooperatively serve the actuators, which acquire their required files either from the local caches or from the central processor via multicast fronthaul links. For such a scenario, we formulate a beamforming design problem to minimize the secure transmission delay under transmit power constraint of each RRH. Due to the difficulty of directly solving the formulated problem, we divide it into two independent ones: i) minimizing the fronthaul transmission delay by jointly optimizing the transmit and receive beamforming;ii) minimizing the maximum access transmission delay by jointly designing cooperative beamforming among RRHs. An alternatively iterative algorithm is proposed to solve the first optimization problem. For the latter, we first design the analog beamforming based on the channel state information of the actuators. Then, with the aid of successive convex approximation and S-procedure techniques, a semidefinite program (SDP) is formulated, and an iterative algorithm is proposed through SDP relaxation. Finally, simulation results are provided to verify the performance of the proposed schemes. Copyright © 2020, The Authors. All rights reserved.

关键词： Beamforming

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：