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Generative artificial intelligence and its applications in materials science:Current situation and future perspectives

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Journal of Materiomics 2023年第4期9卷 798-816页

作者： Yue Liu Zhengwei Yang Zhenyao Yu Zitu Liu Dahui Liu Hailong Lin Mingqing Li Shuchang Ma Maxim Avdeev Siqi Shi School of Computer Engineering and Science Shanghai UniversityShanghai200444China State Key Laboratory of Advanced Special Steel School of Materials Science and EngineeringShanghai UniversityShanghai200444China Materials Genome Institute Shanghai UniversityShanghai200444China Shanghai Engineering Research Center of Intelligent Computing System Shanghai200444China Australian Nuclear Science and Technology Organisation Sydney2232Australia School of Chemistry The University of SydneySydney2006Australia

Generative Artificial Intelligence(GAI)is attracting the increasing attention of materials community for its excellent capability of generating required *** the introduction of Prompt paradigm and reinforcement learning from human feedback(RLHF),GAI shifts from the task-specific to general pattern gradually,enabling to tackle multiple complicated tasks involved in resolving the structure-activity ***,we review the development status of GAI comprehensively and analyze pros and cons of various generative models in the view of *** applications of task-specific generative models involving materials inverse design and data augmentation are also *** ChatGPT as an example,we explore the potential applications of general GAI in generating multiple materials content,solving differential equation as well as querying materials ***,we summarize six challenges encountered for the use of GAI in materials science and provide the corresponding *** work paves the way for providing effective and explainable materials data generation and analysis approaches to accelerate the materials research and development.

关键词： Machine learning Artificial intelligence Generative artificial intelligence Materials science Novel materials discovery Deep learning

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采用高导热金刚石基底的高效散热钙钛矿激光

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Science China Materials 2023年第6期66卷 2400-2407页

作者：李国辉侯缜魏衍福赵若凡冀婷王文艳温荣郑凯波于盛旺崔艳霞 College of Physics and Optoelectronics Key Laboratory of Interface Science and Engineering in Advanced MaterialsKey Lab of Advanced Transducers and Intelligent Control System of Ministry of EducationTaiyuan University of TechnologyTaiyuan 030024China Shanxi-Zheda Institute of Advanced Materials and Chemical Engineering Taiyuan 030024China Division of Chemical Physics and NanoLund Lund UniversityBox 12422100LundSweden

具有低温升的高效散热方案是实现电泵浦激光的关键因素之一.高导热金刚石有望克服钙钛矿激光的散热限制.本文中,我们展示了一种可以将光泵浦过程中产生热量高效耗散的金刚石基底钙钛矿纳米片激光.此外,紧密光学束缚可以通过在纳米片和... 详细信息

具有低温升的高效散热方案是实现电泵浦激光的关键因素之一.高导热金刚石有望克服钙钛矿激光的散热限制.本文中,我们展示了一种可以将光泵浦过程中产生热量高效耗散的金刚石基底钙钛矿纳米片激光.此外,紧密光学束缚可以通过在纳米片和金刚石基底之间引入一层薄SiO_(2)间隔层而实现.该激光的品质因子高达~1962,激光阈值为52.19μJ cm^(-2).受益于金刚石基底,其泵浦能量密度相关温度灵敏度较低(~0.56±0.01 K cm~2μJ^(-1)).本工作有望促进电泵浦钙钛矿激光的发展.

关键词：金刚石钙钛矿温度灵敏度高效散热品质因子高导热激光阈值光泵浦

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Modeling and Optimization of MEMS Microphone Dust Protection Mesh for improved for Acoustic Performance using Finite Element Method Simulation 3

Modeling and Optimization of MEMS Microphone Dust Protection...

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3rd International Conference on New Materials, Machinery, and Vehicle Engineering, NMMVE 2024

作者： Zhang, Shiwang Li, Jiazhu Yuan, Jiawei Li, Zixuan Yuan, Zheng Qin, Shaohui Zhao, Zilong Tan, Hongqiang Luo, Ruiyan Zhao, Yihe Li, Jie Gao, Wendi Li, Zhikang Zhao, Libo State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies Xi'an710049 China Research Institute for Intelligent Sensing Technology and System Xi'an710049 China School of Instrument Science and Technology Xi'an Jiaotong University Xi'an710049 China School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai265503 China College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Xi'an710021 China

ISBN: (纸本)9781510686267

Currently, research on Micro-Electro-Mechanical systems (MEMS) microphone dust protection meshes has predominantly focused on dust prevention capabilities, with scant attention given to acoustic performance, and there is a lack of systematic studies on the patterns of acoustic performance variation. This study utilizes finite element analysis to investigate the impact of structural parameters such as perforation radius, perforation rate, number of perforations, and perforation distribution patterns, as well as material properties like the density of the expanded-polytetrafluoroethylene (e-PTFE) membrane, on acoustic impedance and sound transmission loss. It was found that, at a constant perforation rate, a larger perforation radius results in lower acoustic impedance and sound transmission loss. This research provides a theoretical basis for the subsequent design of MEMS microphone dust protection meshes. Furthermore, an intelligent dust protection device based on metasurfaces has been proposed, which achieves an organic integration of dust prevention and sound wave control functions, and exhibits high sensitivity and robustness, laying the foundation for the development of future smart auditory technologies. © 2024 SPIE.

关键词： Acoustic impedance

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Design of magnetorheological brake with adjustable interdigitated comb for lower limb prostheses and exoskeletons

Design of magnetorheological brake with adjustable interdigi...

引用

2023 IEEE International Conference on robotics and Biomimetics, ROBIO 2023

作者： Shi, Qiuyu Zhao, Xuan Liao, Haisu Lin, Yongji Huang, Ruisen Wu, Xinyu Gao, Fei Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen518055 China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Shatin 999077 Hong Kong

ISBN: (纸本)9798350325706

Magnetorheological (MR) fluids-based devices such as MR dampers and brakes can output a continuously controllable damping force via modulating the magnitude of the applied magnetic field. Owing to low energy consumption and fast response, recently vast MR dampers and brakes are widely studied and explored for lower limb prostheses and exoskeletons. This paper proposed a novel MR brake with adjustable interdigitated comb for lower limb prostheses. Through actively adjusting the area the of the comb engagement, the maximum viscous and field-induced damping torque can be increased or decreased. Because of that, the dynamic adjustment interval of the output damping torque can be increased to meet the function requirements of the prosthetic knee in different walking modes. Magnetic analysis via ANSYS is performed to check the magnetic density of the MR fluid under different excitations. Mathematical models of the damping torque are built. Finally, a prototype of the novel MR brake is fabricated. © 2023 IEEE.

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Structure Optimization Analysis of MEMS Microphone Packaging Shell 3

Structure Optimization Analysis of MEMS Microphone Packaging...

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3rd International Conference on New Materials, Machinery, and Vehicle Engineering, NMMVE 2024

作者： Li, Jiazhu Zhang, Shiwang Qin, Shaohui Yuan, Jiawei Li, Zixuan Yuan, Zheng Zhao, Zilong Luo, Ruiyan Tan, Hongqiang Zhao, Yihe Lif, Jie Gao, Wendi Li, Zhikang Zhao, Libo State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies Xi'an710049 China Research Institute for Intelligent Sensing Technology and System Xi'an710049 China School of Instrument Science and Technology Xi'an Jiaotong University Xi'an710049 China School of Mechanical Engineering Xi'an Jiaotong University Xi'an710049 China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai265503 China College of Mechanical and Electrical Engineering Shaanxi University of Science and Technology Xi'an710021 China

ISBN: (纸本)9781510686267

Due to compact size, high consistency, and resistance to radio frequency interference, MEMS microphones are increasingly important in the consumer electronics market and have driven the development of intelligent applications. There is a growing demand for enhanced performance in MEMS microphones. Currently, research on the shell design of MEMS microphones is relatively shallow, often only considering the accommodation of the vibrating diaphragm and ASIC chip, as well as the minimization of volume, without focusing on the impact of the shell configuration on the microphone's acoustic performance. Therefore, this paper starts from the perspective of optimizing acoustic response and studies the impact of the packaging shell configuration and design parameters of MEMS microphones on the microphone's sensitivity and frequency response, including the sound collection hole diameter, chamber volume, and chip layout. The goal is to establish a quantitative relationship between these key parameters and the microphone's performance. Simulation software was used to simulate the acoustic characteristics of the microphone shell, and optimal design parameters were recommended based on the simulation results. In addition, the research also proposes methods to adjust the frequency response of the microphone within the target frequency range, providing a reference direction for the scientific design of the shell structure to reduce the transmission loss of acoustic energy and enhance response sensitivity. © 2024 SPIE.

关键词： Shells (structures)

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Slewing Control of Overhead Crane Based on State-enhance Coupling Method

Slewing Control of Overhead Crane Based on State-enhance Cou...

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第43届中国控制会议

作者： Rui Liu Biao Lu Jinyang Dong Weili Ding The 6th Research Institute of China Electronic Corporation Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Engineering Research Center of Intelligent Control System and Intelligent Equipment Ministry of Education Yanshan University National Key Laboratory of Key Technologies for Lifting Machinery Yanshan University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Cranes which are frequently utilized as sizable machinery, are widely used across a range of settings, including warehouses, distribution hubs, harbors, steel plants, and manufacturing facilities. However, the current researches on cranes have paid insufficient attention to the rotation of loads during transportation. Additionally, some of the proposed control methods fail to effectively integrate information from both actuated DOFs(degrees of freedom) and unactuated DOFs, leading to a loss of controller robustness. In this paper, we establish an overhead crane model with a slewing mechanism, focusing on the analysis of crane's lifting and rotating motion. Based on that, a nonlinear controller is proposed for load slewing control. The stability of the controller is proven using Lyapunov techniques and LaSalle's invariance theorem. The effectiveness and robustness of the controller are validated through numerical simulations.

关键词： Load Rotation Nonlinear Controller Robustness

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Unmanned aerial vehicle swarm mission reliability modeling and evaluation method oriented to systematic and networked mission

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Chinese Journal of Aeronautics 2021年第2期34卷 466-478页

作者： Lizhi WANG Xuejiao ZHAO Yuan ZHANG Xiaohong WANG Tielin MA Xia GAO Unmanned System Institute Beihang UniversityBejing 100083China School of Reliability and Systems Engineering Beihang UniversityBeijing 100083China Digital Twinning and System Engineering Research Center Yunnan Innovation InstituteBeihang UniversityBejing 650233China Key Laboratory of Advanced Technology of Intelligent Unmanned Flight System of M inistry of Industry and Information Technology Beijing 100083China School of Astronautics Beihang UniversityBejing 100083China

With the development of Unmanned Aerial Vehicle(UAV) system autonomy, network communication technology and group intelligence theory, mission execution in the form of a UAV swarm will be an important realization of future applications. Traditional single-UAV mission reliability modeling methods have been unable to meet the requirements of UAV swarm mission reliability modeling. Therefore, the UAV swarm mission reliability modeling and evaluation method is proposed. First, aimed at the interdependence among the multiple layers, a multi-layer network model of a UAV swarm is established. At the same time, based on the system having the following characteristics—using a mission chain to complete the mission and applying the connectivity of the mission network—the mission network model of a UAV swarm is established. Second, vulnerability and connectivity are selected as two indicators to reflect the reliability of the mission, and aimed at random attack and deliberate attack, vulnerability and connectivity evaluation methods are proposed. Finally, the validity and accuracy of the constructed model are verified through simulations,and the model and selected indicators can meet the reliability requirements of the UAV swarm mission. In this way, this study provides quantitative reference for UAV-swarm-related decisionmaking work and supports the development of UAV-swarm-related work.

关键词： Complex networks Connectivity Mission reliability Unmanned Aerial Vehicles(UAV) Vulnerability

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Temperature and strain sensitivities of surface and hybrid acoustic wave Brillouin scattering in optical microfibers

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Chinese Physics B 2022年第9期31卷 333-339页

作者： Yi Liu Yuanqi Gu Yu Ning Pengfei Chen Yao Yao Yajun You Wenjun He Xiujian Chou Taiyuan University of Technology Key Laboratory of Advanced Transducers and Intelligent Control SystemMinistry of Education and Shanxi ProvinceTaiyuan 030024China Taiyuan University of Technology Institute of Optoelectronic EngineeringCollege of Physics and OptoelectronicsTaiyuan 030024China Strong Digital Technology Co. Ltd.(Thinvent)Nanchang 410000China North University of China Key Laboratory of Instrumentation Science and Dynamic Measurement Ministry of EducationTaiyuan 030051China North University of China College of Mechatronics EngineeringTaiyuan 030051China North University of China Science and Technology on Electronic Test and Measurement LaboratorySchool of Instrument and ElectronicsTaiyuan 030051China

Temperature and strain sensitivities of surface acoustic wave(SAW)and hybrid acoustic wave(HAW)Brillouin scat-tering(BS)in 1μm-1.3μm diameter optical microfibers are *** contrast to stimulated Brillouin scattering(SBS)from bulk acoustic wave in standard optical fiber,SAW and HAW BS,due to SAWs and HAWs induced by the coupling of longitudinal and shear waves and propagating along the surface and core of microfiber respectively,facilitate innovative detection in optical microfibers *** highest temperature and strain sensitivities of the hybrid acoustic modes(HAMs)are 1.082 MHz/℃and 0.0289 MHz/με,respectively,which is suitable for microfiber sensing applica-tion of high temperature and strain ***,the temperature and strain sensitivities of the SAMs are less affected by fiber diameter changes,ranging from 0.05 MHz/℃/μm to 0.25 MHz/℃/μm and 1×10^(-4) MHz/με/μm to 5×10^(-4) MHz/με/μm,*** can be found that that SAW BS for temperature and strain sensing would put less stress on manufacturing constraints for optical ***,the simultaneous sensing of temperature and strain can be realized by SAW and HAW BS,with temperature and strain errors as low as 0.30℃-0.34℃and 14.47με-16.25με.

关键词： Brllouin scatering surface acoustic waves hybrid acoustic waves optical microfiber sensing

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Polytope Volume Monitoring Problem: Formulation and Solution via Parametric Linear Program Based Control Barrier Function

arXiv

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arXiv 2025年

作者： Wu, Shizhen Dong, Jinyang Fang, Xu Sun, Ning Fang, Yongchun Institute of Robotics and Automatic Information System College of Artificial Intelligence Nankai University Tianjin300353 China The Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Shenzhen518083 China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian116024 China

Motivated by the latest research on feasible space monitoring of multiple control barrier functions (CBFs) as well as polytopic collision avoidance, this paper studies the Polytope Volume Monitoring (PVM) problem, whose goal is to design a control law for inputs of nonlinear systems to prevent the volume of some state-dependent polytope from decreasing to zero. Recent studies have explored the idea of applying Chebyshev ball method in optimization theory to solve the case study of PVM;however, the underlying difficulties caused by nonsmoothness have not been addressed. This paper continues the study on this topic, where our main contribution is to establish the relationship between nonsmooth CBF and parametric optimization theory through directional derivatives for the first time, so as to solve PVM problems more conveniently. In detail, inspired by Chebyshev ball approach, a parametric linear program (PLP) based nonsmooth barrier function candidate is established for PVM, and then, sufficient conditions for it to be a nonsmooth CBF are proposed, based on which a quadratic program (QP) based safety filter with guaranteed feasibility is proposed to address PVM problems. Finally, a numerical simulation example is given to show the efficiency of the proposed safety filter. © 2025, CC BY.

关键词： Chebyshev filters

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PhaPaM: In Vitro Panoramic Map Using Phase Correlation

PhaPaM: In Vitro Panoramic Map Using Phase Correlation

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Chinese Control Conference (CCC)

作者： Jie Li Zizhen Li Xin Zhao Tianjin Key Laboratory of Intelligent Robotic (tjKLIR) Institute of Robotics and Automatic Information System (IRAIS) Nankai University Tianjin P. R. China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Shenzhen P. R. China

Studying cells of brain slices under microscopes reveals subtle changes in neuron networks. But the field of view of microscopes is compromised by high-resolution imaging. A post hoc computer vision-aid process can address the problem. Commonly, feature-based stitching methods can be used to obtain large-scale images. They detect and match salient features within an image. However, the success rate of stitching is highly related to the scale of overlapping of two images and feature-rich properties. Unlike the feature-based methods, this paper reports on a method using a Fourier-based domain, PhaPaM, which infers relative motion from a pair of microscopy images by phase correlation. Specifically, we first apply the Fourier transform for microscope images to sequentially estimate the relative movement of an image pair. Then, we use a minimal spanning tree algorithm to minimize the stitching error and obtain the best stitching path. Finally, we apply the liner-blending method to smoothing the panoramic image. This method is evaluated using large-scale images obtained from the visual cortex of rodent animals, which shows great fidelity and satisfying results.

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