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Stretchable iontronics with robust interface bonding between dielectric and ion-conducting elastomers

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Nano Research 2023年第9期16卷 11862-11870页

作者： Zhongpeng Li Panpan Zhang yangshi shao Zi-Hao Guo Xiong Pu School of Chemistry and Chemical Engineering Center on Nanoenergy ResearchSchool of Physical Science and TechnologyGuangxi UniversityNanning 530004China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijing 101400China School of Nanoscience and Technology University of Chinese Academy of SciencesBeijing 100049China

Dry ion-conducting elastomers(ICEs)are emerging stretchable and ionic conductive materials that are demonstrated with excellent thermal stability and great promise in multifunctional iontronic ***,the poor interface between the ICEs and the dielectric material is one of the issues hindering the application of the stretchable iontronic ***,a polydimethylsiloxane(PDMS)based ion-conducting elastomer with dynamic crosslinking structures is reported,which achieves the stretchability of 475%and healing efficiency of 99%.More importantly,a robust interface bonding can be generated between the electrode and the dielectric material,which is beneficial to enhance the performance and lifespan of the flexible iontronic *** this PDMS based ICE as the electrode and PDMS as the dielectric material,two stretchable iontronic devices(triboelectric nanogenerator and capacitive pressure sensor)are realized with overall self-healing and stretchable *** findings provide a promising strategy to achieve integrate stretchable iontronics or electronics with a robust interface between the electrode and dielectric materials.

关键词： ion-conducting elastomers robust interface iontronics triboelectric nanogenerator pressure sensor

Graphene-based dual-function acoustic transducers for machine learning-assisted human-robot interfaces

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InfoMat 2023年第2期5卷 66-79页

作者： Hao Sun Xin Gao Liang-Yan Guo Lu-Qi Tao Zi Hao Guo yangshi shao Tianrui Cui Yi Yang Xiong Pu Tian-Ling Ren Institute of Microelectronics and Beijing National Research Center for Information Science and Technology(BNRist) Tsinghua UniversityBeijingPeople's Republic of China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and SensorBeijing Institute of Nanoenergy and NanosystemsChinese Academy of SciencesBeijingPeople's Republic of China State Key Laboratory of Power Transmission Equipment and System Security and New Technology School of Electrical EngineeringChongqing UniversityChongqingPeople's Republic of China School of Computer Science&Technology Beijing Institute of TechnologyBeijingPeople's Republic of China School of Automation and Electrical Engineering University of Science and Technology BeijingBeijingPeople's Republic of China

Human–robot interface(HRI)electronics are critical for realizing robotic ***,we report graphene-based dual-function acoustic transducers for machine learning-assisted human–robot interfaces(GHRI).The GHRI functions both an artificial ear through the triboelectric acoustic sensing mechanism and an artificial mouth through the thermoacoustic sound emission *** success of the integrated device is also attributed to the multifunctional laser-induced graphene,as either triboelectric materials,electrodes,or thermoacoustic *** systematically optimizing the structure parameters,the GHRI achieves high sensitivity(4500 mV Pa^(–1))and operating durability(1000000 cycles and 60 days),capable of recognizing speech identities,emotions,content,and other information in the human *** the assistance of machine learning,30 speech categories are trained by a convolutional neural network,and the accuracy reaches 99.66%and 96.63%in training datasets and test ***,GHRI is used for artificial intelligence communication based on recognized speech *** work shows broad prospects for the development of robotic intelligence.

关键词： human-robot interface laser-induced graphene machine learning thermoacoustic triboelectric nanogenerator

NON C^0 NONCONFORMING ELEMENTS FOR ELLIPTIC FOURTH ORDER SINGULAR PERTURBATION PROBLEM

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Journal of Computational Mathematics 2005年第2期23卷 185-198页

作者： shao-chunChen Yong-chengZhao Dong-yangshi DepartmentofMathematics ZhengzhouUniversityZhengzhou450052China

In this paper we give a convergence theorem for non C^0 nonconforming finite element to solve the elliptic fourth order singular perturbation problem. Two such kind of elements, a nine parameter triangular element and a twelve parameter rectangular element both with double set parameters, are presented. The convergence and numerical results of the two elements are given.

关键词： Singular perturbation problem Nonconforming element Double set parameter method

THREE DIMENSION QUASI-WILSON ELEMENT FOR FLAT HEXAHEDRON MESHES

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Journal of Computational Mathematics 2004年第2期22卷 178-187页

作者： shao-chunChen Dong-yangshi Guo-biaoRen DepartmentofMathematics ZhengzhouUniversityZhengzhou450002China

The well known Wilson's brick is only convergent for regular cuboid meshes. In this paper a quasi-Wilson element of three dimension is presented which is convergent for any hexahedron meshes. Meanwhile the element is ... 详细信息

关键词： Nonconforming element Three dimension Quasi-Wilson element Anisotropic convergence

TRAPEZOIDAL PLATE BENDING ELEMENT WITH DOUBLE SET PARAMETERS

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Journal of Computational Mathematics 2003年第4期21卷 513-518页

作者： shao-chunChen Dong-yangshi IchiroHagiwara DepartmentofMathematics ZhengzhouUniversityZhengzhou450052China TokyoInstituteofTechnology 2-12-10hokayamaMegroTokyo152-8552Japan

Using double set parameter method, a 12-parameter trapezoidal plate bending element is presented. The first set of degrees of freedom, which make the element convergent, are the values at the four vertices and the middle points of the four sides together with the mean values of the outer normal derivatives along four sides. The second set of degree of freedom, which make the number of unknowns in the resulting discrete system small and computation convenient are values and the first derivatives at the four vertices of the element. The convergence of the element is proved.

关键词： Plate bending problem Nonconforming finite element Double set parameter method.

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基于混合注意力机制的肺结节假阳性降低

CT理论与应用研究（中英文） 2022年第1期31卷 63-72页

作者：唐秉航王艳芳马力陈庆武邵立伟黄德皇中山市人民医院影像科广东中山528404 中山仰视科技有限公司广东中山528400 中山市北京理工大学研究院广东中山528405

为了解决肺结节CAD系统候选结节检测阶段高假阳性问题,本文提出一种基于混合注意力机制的肺结节假阳性降低方法。该方法可作为目前假阳性降低阶段最常用的3D CNN分类模型的替代方案,能有效回避3D CNN模型参数量及计算量大的问题。该方... 详细信息

为了解决肺结节CAD系统候选结节检测阶段高假阳性问题,本文提出一种基于混合注意力机制的肺结节假阳性降低方法。该方法可作为目前假阳性降低阶段最常用的3D CNN分类模型的替代方案,能有效回避3D CNN模型参数量及计算量大的问题。该方法将三维候选结节切片数据看作切片序列,使用时序分割模型,结合改进的包含混合注意力模块的2D Resnet-18骨干网络,在使用2D CNN的基础上,有效学习三维切片数据的时空特征。相对于3D CNN结构的肺结节分类模型,本文提出的方法在降低模型参数量和推理时间的基础上,提高了结节分类的准确率。

关键词：时序分割模型混合注意力肺结节

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基于有序多分类的肺结节良恶性分析

影像研究与医学应用 2021年第2期5卷 3-5页

作者：王骏邵立伟黄德皇黄钰斌于泽源王艳芳陈庆武马力中山火炬开发区医院放射医学科广东中山528400 中山市北京理工大学研究院广东中山528400 中国科技大学安徽合肥230000 中山仰视科技有限公司广东中山528400

在肺癌的早期诊断过程中,肺癌的筛查是常用手段。但是人工筛查效率低下,对医生而言负担过重,采用深度学习技术的影像筛查,自动高效,成为研究的热点。其中,从影像中检测到的肺结节存在着假阳性过高的问题,因此准确判断患者肺结节的良性... 详细信息

在肺癌的早期诊断过程中,肺癌的筛查是常用手段。但是人工筛查效率低下,对医生而言负担过重,采用深度学习技术的影像筛查,自动高效,成为研究的热点。其中,从影像中检测到的肺结节存在着假阳性过高的问题,因此准确判断患者肺结节的良性恶性成为筛查过程中关键的一步。本文提出一种深度学习模型,在损失函数上着眼于良恶性分类之间的有序行,关联性,从而有效去除假阳性。我们的方法在LIDC-IDRI数据集上获得很高的准确率和召回率。

关键词：有序多分类人工智能深度学习肺结节 3D残差网络 CT