检索结果-南通市图书馆

Optimized reinforcement of granite residual soil using a cement and alkaline solution: A coupling effect

Journal of Rock Mechanics and Geotechnical Engineering 2025年第1期17卷 509-523页

作者： Bingxiang yuan Jingkang Liang Baifa Zhang Weijie Chen Xianlun Huang Qingyu Huang Yun Li Peng yuan School of Civil and Transportation Engineering Guangdong University of TechnologyGuangzhou510006China School of Environmental Science and Engineering Guangdong University of TechnologyGuangzhou510006China Shenzhen Key Laboratory of Natural Gas Hydrates Academy for Advanced Interdisciplinary StudiesSouthern University of Science and TechnologyShenzhen518055China

Granite residual soil (GRS) is a type of weathering soil that can decompose upon contact with water, potentially causing geological hazards. In this study, cement, an alkaline solution, and glass fiber were used to reinforce GRS. The effects of cement content and SiO_(2)/Na2O ratio of the alkaline solution on the static and dynamic strengths of GRS were discussed. Microscopically, the reinforcement mechanism and coupling effect were examined using X-ray diffraction (XRD), micro-computed tomography (micro-CT), and scanning electron microscopy (SEM). The results indicated that the addition of 2% cement and an alkaline solution with an SiO_(2)/Na2O ratio of 0.5 led to the densest matrix, lowest porosity, and highest static compressive strength, which was 4994 kPa with a dynamic impact resistance of 75.4 kN after adding glass fiber. The compressive strength and dynamic impact resistance were a result of the coupling effect of cement hydration, a pozzolanic reaction of clay minerals in the GRS, and the alkali activation of clay minerals. Excessive cement addition or an excessively high SiO_(2)/Na2O ratio in the alkaline solution can have negative effects, such as the destruction of C-(A)-S-H gels by the alkaline solution and hindering the production of N-A-S-H gels. This can result in damage to the matrix of reinforced GRS, leading to a decrease in both static and dynamic strengths. This study suggests that further research is required to gain a more precise understanding of the effects of this mixture in terms of reducing our carbon footprint and optimizing its properties. The findings indicate that cement and alkaline solution are appropriate for GRS and that the reinforced GRS can be used for high-strength foundation and embankment construction. The study provides an analysis of strategies for mitigating and managing GRS slope failures, as well as enhancing roadbed performance.

关键词： Granite residue soil(GRS) Reinforcement Coupling effect Alkali activation Mechanical properties

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Efficient implementation of quantum permutation algorithm using a polar SrO molecule in pendular states

引用

Communications in Theoretical Physics 2025年第2期77卷 41-53页

作者： Jie-Ru Hu Zuo-yuan Zhang Jin-Ming Liu State Key Laboratory of Precision Spectroscopy School of Physics and Electronic Science East China Normal University School of Physical Science and Technology Yangzhou University Chongqing Key Laboratory of Precision Optics Chongqing Institute of East China Normal University

Quantum algorithms offer more enhanced computational efficiency in comparison to their classical counterparts when solving specific tasks. In this study, we implement the quantum permutation algorithm utilizing a polar molecule within an external electric field. The selection of the molecular qutrit involves the utilization of field-dressed states generated through the pendular modes of SrO. Through the application of multi-target optimal control theory, we strategically design microwave pulses to execute logical operations, including Fourier transform,oracle Ufoperation, and inverse Fourier transform within a three-level molecular qutrit *** observed high fidelity of our outcomes is intricately linked to the concept of the quantum speed limit, which quantifies the maximum speed of quantum state manipulation. Subsequently,we design the optimized pulse sequence to successfully simulate the quantum permutation algorithm on a single SrO molecule, achieving remarkable fidelity. Consequently, a quantum circuit comprising a single qutrit suffices to determine permutation parity with just a single function evaluation. Therefore, our results indicate that the optimal control theory can be well applied to the quantum computation of polar molecular systems.

关键词： polar molecule optimal control quantum permutation algorithm pendular states

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Multi-Scale Time Series Segmentation Network Based on Eddy Current Testing for Detecting Surface Metal Defects

引用

IEEE/CAA Journal of Automatica Sinica 2025年第3期12卷 528-538页

作者： Xiaorui Li Xiaojuan Ban Haoran Qiao Zhaolin yuan hong-Ning Dai Chao Yao Yu Guo Mohammad S.Obaidat George Q.Huang the School of Intelligence Science and Technology University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering the Key Laboratory of Intelligent Bionic Unmanned Systems and the Institute of Materials Intelligent Technology Liaoning Academy of Materials IEEE the Department of Computer Science Hong Kong Baptist University the School of Computer and Communication Engineering Key Laboratory of Advanced Materials and Devices for Post-Moore Chips Ministry of Education University of Science and Technology Beijing the Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing the School of Computer and Communication Engineering University of Science and Technology Beijing the King Abdullah Ⅱ School of Information Technology The University of Jordan the Department of Computational Intelligence the School of Computing SRM University the School of Engineering The Amity University The hong Kong Polytechnic University

In high-risk industrial environments like nuclear power plants, precise defect identification and localization are essential for maintaining production stability and safety. However, the complexity of such a harsh environment leads to significant variations in the shape and size of the defects. To address this challenge, we propose the multivariate time series segmentation network(MSSN), which adopts a multiscale convolutional network with multi-stage and depth-separable convolutions for efficient feature extraction through variable-length templates. To tackle the classification difficulty caused by structural signal variance, MSSN employs logarithmic normalization to adjust instance distributions. Furthermore, it integrates classification with smoothing loss functions to accurately identify defect segments amid similar structural and defect signal subsequences. Our algorithm evaluated on both the Mackey-Glass dataset and industrial dataset achieves over 95% localization and demonstrates the capture capability on the synthetic dataset. In a nuclear plant's heat transfer tube dataset, it captures 90% of defect instances with75% middle localization F1 score.

关键词： Eddy current testing nondestructive testing semantic segmentation time series analysis

来源：

同方期刊数据库评论

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Methyl Groups Pendant on Triphenylmethane Toward Modulating Thermal Stability and Dielectric Properties of the Crosslinkable Fluorinated Polyimide Films with High Transparency

引用

Chinese Journal of Polymer Science 2025年第2期43卷 316-327页

作者： Wen Yang Liang yuan Kai Gong Ruo-Han Zhang Lan Lei Hui Li School of Chemistry and Chemical Engineering Shandong Key Laboratory of Fluorine Chemistry and Chemical Engineering MaterialsUniversity of JinanJinan250022China School of Materials Science and Engineering Tianjin Key Laboratory of Composite and Functional MaterialsTianjin UniversityTianjin300350China

It is urgent to develop high-performance polyimide(PI)films that simultaneously exhibit high transparency,exceptional thermal stability,mechanical robustness,and low dielectric to fulfil the requirements of flexible display ***,a series of fluorinated polyimide films(FPIs)were fabricated by the condensation of 5,5′-(perfluoropropane-2,2-diyl)bis(isobenzofuran-1,3-dione)(6FDA)and the fluorinated triphenylmethane diamine monomer(EDA,MEDA and DMEDA)with heat-crosslinkable tetrafluorostyrene side groups,which was incorporated by different numbers of methyl groups pendant in the ortho position of amino ***,the FPI films underwent heating to produce crosslinking FPIs(C-FPIs)through the self-crosslinking of double bonds in the *** transparency,solvent resistance,thermal stability,mechanical robustness and dielectric properties of FPI and C-FPI films can be tuned by the number of methyl groups and crosslinking,which were deeply investigated by virtue of molecular dynamics(MD)simulations and density functional theory(DFT).As a result,all the films exhibited exceptional optically colorless and transparent,with transmittance in the visible region of 450-700 nm exceeding 79.9%,and the cut-off wavelengths(λ_(off))were nearly 350 *** thermal decomposition temperatures at 5% weight loss(T_(d5%))for all samples exceeded 504℃.These films exhibited a wide range of tunable tensile strength(46.5-75.1 MPa).Significantly,they showed exceptional dielectric properties with the dielectric constant of 2.3-2.5 at full frequency(10^(7)-20 Hz).This study not only highlights the relationship between the polymer molecular structure and properties,but offer insights for balancing optical transparency,heat resistance and low dielectric constant in PI films.

关键词： Crosslinkable fluorinated polyimide Methyl group Triphenylmethane Transparency Thermal stability Low dielectric constant

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

TianXing:A Linear Complexity Transformer Model with Explicit Attention Decay for Global Weather Forecasting

引用

Advances in Atmospheric Sciences 2025年第1期42卷 9-25页

作者： Shijin yuan Guansong WANG Bin MU Feifan ZHOU School of Computer Science and Technology Tongji UniversityShanghai 200092China Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 101408China

In this paper,we introduce TianXing,a transformer-based data-driven model designed with physical augmentation for skillful and efficient global weather *** data-driven transformer models such as Pangu-Weather,FengWu,and FuXi have emerged as promising alternatives for numerical weather prediction in weather ***,these models have been characterized by their substantial computational resource consumption during training and limited incorporation of explicit physical guidance in their modeling *** contrast,TianXing applies a linear complexity mechanism that ensures proportional scalability with input data size while significantly diminishing GPU resource demands,with only a marginal compromise in ***,TianXing proposes an explicit attention decay mechanism in the linear attention derived from physical insights to enhance its forecasting *** mechanism can reweight attention based on Earth's spherical distances and learned sparse multivariate coupling relationships,promptingTianXing to prioritize dynamically relevant neighboring ***,to enhance its performance in mediumrange forecasting,TianXing employs a stacked autoregressive forecast *** of the model's architecture is conducted using ERA5 reanalysis data at a 5.625°latitude-longitude resolution,while a high-resolution dataset at 0.25°is utilized for training the actual forecasting ***,the TianXing exhibits excellent performance,particularly in the Z500(geopotential height)and T850(temperature)fields,surpassing previous data-driven models and operational fullresolution models such as NCEP GFS and ECMWF IFS,as evidenced by latitude-weighted RMSE and ACC ***,the TianXing has demonstrated remarkable capabilities in predicting extreme weather events,such as typhoons.

关键词： weather forecast deep learning physics augmentation linear attention

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Improving performance of screening MM/PBSA in protein–ligand interactions via machine learning

引用

Chinese Physics B 2025年第1期34卷 486-496页

作者： yuan-Qiang Chen Yao Xu Yu-Qiang Ma hong-Ming Ding Center for Soft Condensed Matter Physics and Interdisciplinary Research School of Physical Science and TechnologySoochow UniversitySuzhou 215006China National Laboratory of Solid State Microstructures and Department of Physics Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjing 210093China

Accurately estimating protein–ligand binding free energy is crucial for drug design and biophysics, yet remains a challenging task. In this study, we applied the screening molecular mechanics/Poisson–Boltzmann surface area(MM/PBSA)method in combination with various machine learning techniques to compute the binding free energies of protein–ligand interactions. Our results demonstrate that machine learning outperforms direct screening MM/PBSA calculations in predicting protein–ligand binding free energies. Notably, the random forest(RF) method exhibited the best predictive performance,with a Pearson correlation coefficient(rp) of 0.702 and a mean absolute error(MAE) of 1.379 kcal/mol. Furthermore, we analyzed feature importance rankings in the gradient boosting(GB), adaptive boosting(Ada Boost), and RF methods, and found that feature selection significantly impacted predictive performance. In particular, molecular weight(MW) and van der Waals(VDW) energies played a decisive role in the prediction. Overall, this study highlights the potential of combining machine learning methods with screening MM/PBSA for accurately predicting binding free energies in biosystems.

关键词： molecular mechanics/Poisson-Boltzmann surface area(MM/PBSA) binding free energy machine learning protein-ligand interaction

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Graphene/F_(16)CuPc synaptic transistor for the emulation of multiplexed neurotransmission

引用

Journal of Semiconductors 2025年第1期46卷 215-223页

作者： Zhipeng Xu Yao Ni Mingxin Sun Yiming yuan Ning Wu Wentao Xu Institute of Photoelectronic Thin Film Devices and Technology Key Laboratory of Photoelectronic Thin Film Devices and Technology of TianjinCollege of Electronic Information and Optical EngineeringEngineering Research Center of Thin Film Photoelectronic Technology of Ministry of EducationNankai UniversityTianjin 300350China Shenzhen Research Institute of Nankai University Shenzhen 518000China Smart Sensing Interdisciplinary Science Center Nankai UniversityTianjin 300350China School of Integrated Circuits Guangdong University of TechnologyGuangzhou 510006China

We demonstrate a bipolar graphene/F_(16)CuPc synaptic transistor(GFST)with matched p-type and n-type bipolar properties,which emulates multiplexed neurotransmission of the release of two excitatory neurotransmitters in graphene and F_(16)CuPc channels,*** process facilitates fast-switching plasticity by altering charge carriers in the separated *** complementary neural network for image recognition of Fashion-MNIST dataset was constructed using the matched relative amplitude and plasticity properties of the GFST dominated by holes or electrons to improve the weight regulation and recognition accuracy,achieving a pattern recognition accuracy of 83.23%.These results provide new insights to the construction of future neuromorphic systems.

关键词： synaptic transistor dual excitatory channels fast-switching plasticity multiplexed neurotransmission

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Prioritization Hindsight Experience Based on Spatial Position Attention for Robots

引用

Machine Intelligence Research 2025年第1期22卷 160-175页

作者： Ye yuan Yu Sha Feixiang Sun Haofan Lu Shuiping Gou Jie Luo China Nuclear Power Technology Research Institute Co. Ltd.Shenzhen518028China School of Artificial Intelligence Xidian UniversityXi’an710071China Suzhou Tianhe China Power International Engineering Technology Co. Ltd.Suzhou215000China

Sparse rewards pose significant challenges in deep reinforcement learning as agents struggle to learn from experiences with limited reward *** experience replay(HER)addresses this problem by creating“small goals”within a hierarchical decision ***,HER does not consider the value of different episodes for agent *** this paper,we propose SPAHER,a framework for prioritizing hindsight experiences based on spatial position *** allows the agent to prioritize more valuable experiences in a manipulation *** achieves this by calculating transition and trajectory spatial position functions to determine the value of each episode for experience *** evaluate SPAHER on eight robot manipulation tasks in the Fetch and Hand environments provided by OpenAI *** results show that our method improves the final mean success rate by an average of 3.63%compared to HER,especially in challenging Hand ***,these improvements are achieved without any increase in computation time.

关键词： Hindsight experience replay spatial position attention sparse reward deep reinforcement learning prioritization hindsight experience

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

集值映射多目标半定规划问题近似解的对偶性

引用

数学的实践与认识 2025年第1期55卷 178-185页

作者：袁春红内蒙古师范大学数学科学学院内蒙古呼和浩特010022 内蒙古自治区应用数学中心内蒙古呼和浩特010022

将多目标半定规划问题推广到集值映射.在近似锥-次类凸的假设条件下,构造原问题的Lagrange型弱和强对偶问题,分别给出了集值映射多目标半定规划问题ε-弱有效解和ε-真有效解的弱和强真对偶定理.

关键词：集值映射多目标半定规划对偶定理近似锥-次类凸

来源：

维普期刊数据库

同方期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Auxiliary-field Monte Carlo method for frustrated spin systems

引用

Chinese Physics B 2025年第2期34卷 118-122页

作者： Ning Cai yuan Gao Wei Li Yang Qi State Key Laboratory of Surface Physics and Department of Physics Fudan UniversityShanghai 200433China School of Physics Beihang UniversityBeijing 100191China Institute of Theoretical Physics Chinese Academy of SciencesBeijing 100190China Peng Huanwu Collaborative Center for Research and Education Beihang UniversityBeijing 100191China

We extend a semiclassical numerical method, bosonic auxiliary-field Monte Carlo, to quantum spin systems. This method breaks the lattice into clusters, solves each cluster precisely and couples them with classical auxiliary fields through classical Monte Carlo simulation. We test the method with antiferromagnetic spin models in one-dimensional chains, square lattices and triangular lattices, and obtain reasonable results at finite temperatures. This algorithm builds a bridge between classical Monte Carlo method and quantum methods. The algorithm can be improved with either progress in classical Monte Carlo sampling or the development of quantum solvers, and can also be further applied to systems with different lattices or interactions.

关键词： Monte Carlo quantum many-body system frustrated magnets

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

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

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

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：