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1000 Wh L-1 lithium-ion batteries enabled by crosslink-shrunk tough carbon encapsulated silicon microparticle anodes

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National Science Review 2021年第9期8卷 77-87页

作者： Fanqi Chen Junwei Han Debin Kong Yifei Yuan Jing Xiao Shichao Wu Dai-Ming Tang Yaqian Deng Wei Lv Jun Lu Feiyu Kang Quan-Hong Yang Nanoyang Group State Key Laboratory of Chemical Engineering School of Chemical Engineering and Technology Tianjin University Shenzhen Geim Graphene Center Tsinghua Shenzhen International Graduate School Tsinghua University CAS Key Laboratory of Nanosystem and Hierarchical Fabrication CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Chemical Sciences and Engineering Division Argonne National Laboratory International Center for Materials Nanoarchitectonics(WPI-MANA) National Institute for Materials Science(NIMS) Joint School of National University of Singapore and Tianjin University International Campus of Tianjin University

Microparticulate silicon(Si), normally shelled with carbons, features higher tap density and less interfacial side reactions compared to its nanosized counterpart, showing great potential to be applied as high-energy lithium-ion battery anodes. However, localized high stress generated during fabrication and particularly,under operating, could induce cracking of carbon shells and release pulverized nanoparticles, significantly deteriorating its electrochemical performance. Here we design a strong yet ductile carbon cage from an easily processing capillary shrinkage of graphene hydrogel followed by precise tailoring of inner *** a structure, analog to the stable structure of plant cells, presents ‘imperfection-tolerance’ to volume variation of irregular Si microparticles, maintaining the electrode integrity over 1000 cycles with Coulombic efficiency over 99.5%. This design enables the use of a dense and thick(3 m Ah cm–2) microparticulate Si anode with an ultra-high volumetric energy density of 1048 Wh L–1 achieved at pouch full-cell level coupled with a Li Ni0.8Co0.1Mn0.1O2cathode.

关键词： lithium-ion batteries anode silicon microparticles volumetric capacity mechanical stability

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The efficacy and effectiveness of machine learning for weaning in mechanically ventilated patients at the intensive care unit: a systematic review

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Bio-design and Manufacturing 2019年第1期2卷 31-40页

作者： Man Ting Kwong Glen Wright Colopy Anika M.Weber Ari Ercole Jeroen H.M.Bergmann Department of Engineering Science University of OxfordParks Road. Oxford OXI 3PJ. UK snap40 Inc.125 Princess Street Edinburgh EH2 4AD UK CRUK/MRC Oxford institute for Radiation Oncology.Roosevelt Drive Oxford OX3 7DQ. UK Division of Anaesthesia Addenbrooke's Hospital University of Cambridge Hills Road Cambridge CB2 0QQ. UK

Weani ng from mechanical ventilation in the in tensive care unit (ICU) is a complex clinical problem and relevant for future organ engineering. Prolonged mechanical ventilation (MV) leads to a range of medical complications that increases length of stay and costs as well as contributes to morbidity and even mortality and long-term quality of life. The need to reduce MV is both clinical and economical. Artificial intelligence or machine learning (ML) methods are promising opportunities to positively influence patient outcomes. ML methods have been proposed to enhance clinical decisions processes by using the large amount of digital information generated in the ICU setting. There is a particular interest in empirical methods (such as ML) to improve management of "difficult-to-wean" patients, due to the associated costs and adverse events associated with this population. A systematic literature search was performed using the OVID, IEEEXplore, PubMed, and Web of Science databases. All publications that included (1) the application of ML to weaning from MV in the ICU and (2) a clinical outcome measurement were reviewed. A checklist to assess the study quality of medical ML publications was modified to suit the critical assessment of ML in MV weaning literature. The systematic search identified nine studies that used ML for weaning management from MV in critical care. The weaning management application areas included (1) prediction of successful spontaneous breathing trials (SBTs),(2) prediction of successful extubation,(3) prediction of arterial blood gases, and (4) ventilator setting and oxygenation-adjustment advisory systems. Seven of the nine studies scored seven out of eight on the quality index. The remaining two of the nine studies scored one out of eight on the quality index. This scoring may, in part, be explained by the publications' focus on technical novelty, and therefore focusing on issues most important to a technical audience, instead of issues most impor

关键词： Artificial intelligence Patient-centred medicine Clinical trial Critical care Data science

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环境因子对双孢蘑菇损伤敏感性的影响（英文）

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菌物学报 2016年第11期35卷 1375-1386页

作者：高巍 BAARS Johan JP DOLSTRA Oene VISSER Richard GF 张金霞 SONNENBERG Anton SM Plant Breeding Wageningen University and Research Center 中国农业科学院农业资源与农业区划研究所北京100081

在机械损伤过程中,白色双孢蘑菇极易被损伤并迅速褐变,使得机械采收的鲜菇质量低下,并且影响机械采收技术的应用和发展。机械采收双孢蘑菇的褐变程度(损伤敏感性)受栽培环境条件的影响。本文应用因子设计分析的方式研究多个因子对双孢... 详细信息

在机械损伤过程中,白色双孢蘑菇极易被损伤并迅速褐变,使得机械采收的鲜菇质量低下,并且影响机械采收技术的应用和发展。机械采收双孢蘑菇的褐变程度(损伤敏感性)受栽培环境条件的影响。本文应用因子设计分析的方式研究多个因子对双孢蘑菇机械损伤敏感性的影响。以4个菌株为材料测试3个环境因子对双孢蘑菇损伤敏感性的影响,即覆土的厚度(分为2.5cm和5cm两个水平),覆土的湿度(分为干覆土和正常覆土两个水平),以及菇房内的相对湿度(分为80%和87%两个水平)。目的是找出能够在不敏感菌株和敏感菌株间产生最大敏感性差异的环境条件,由此得到的环境条件将应用到后续的群体分离分析中以得到最大的敏感性变异率。根据方差分析结果得出基因型(菌株)和覆土厚度是影响损伤敏感性的显著性因子,因子间相互作用显著。能够在不敏感菌株和敏感菌株间产生最大的损伤敏感性差异的环境条件为正常湿度的5cm厚覆土材料和87%的菇房内相对湿度。

关键词：双孢蘑菇损伤敏感性环境因子空气相对湿度覆土含水量覆土厚度

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Application of Artificially Induced Double-strand Breaks (DSB) and Triplex-forming Oligonucleotides (TFO) in the Improvement of Gene Targeting Efficiency

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Agricultural Biotechnology 2013年第1期2卷 1-6,12页

作者： Hegang LI Wenke CHENG Ke JIANG Xiaoli REN Yongping JIANG Lele HOU Xiaojing HAO Jinshan ZHAO Qingdao institute of Animal Science and Veterinary Medicine Animal Husbandry Technology Extension Station of Hainan Province Laixi Husbandry and Veterinary Bureau of Qingdao City Rizhuang Agricultural Service Center of Laixi City

Gene targeting technology is an important means to investigate gene functions, but its efficiency of gene targeting is very low, especially for somatic cell targeting. Artificially induced double-strand breaks （DSB） and triplex forming oligonucleotide （TFO） are currently developed methods to improve the targeting efficiency. This paper summarized the basic principles, design ideas and application in gene targeting efficiency improvement of these two methods, analyzed and com- pared their characteristics, and finally proposed prospects for their future development.

关键词： Gene targeting Double-strand breaks Zinc finger nuclease Homing endonuclease Triplex-forming oligonucleotides

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On the Regression-Tensor Analysis of the Hardening Process of Metal Coatings

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Journal of Applied Mathematics and Physics 2021年第7期9卷 1639-1651页

作者： Rusanov Vyacheslav Anatolievich Agafonov Sergey Viktorovich Daneev Aleksey Vasilyevich Gubanov Ilya Alecseevich Matrosov institute for System Dynamics and Control Theory of the Siberian Branch of the Russian Academy of Sciences Irkutsk Russia Irkutsk State Agricultural Academy Irkutsk Russia Irkutsk State Transport University Irkutsk Russia

This paper constructs and studies a nonlinear multivariate regression-tensor model for substantiation of necessary/sufficient conditions of optimization of technological calculation of multifactor physical and chemical process of hardening of complex composite media for metal coatings. An adaptive a posteriori procedure for parametric formation of the target quality functional of integrative physical and mechanical properties of the designed metal coating has been proposed. The results of the research may serve as elements of a mathematical language when creating automated design of precision nanotechnologies for surface hardening of complex composite metal coatings on the basis of complex tribological and anticorrosive tests.

关键词： Hardening Composite Metal Coatings Complex Tribological Tests Optimal Physical and Chemical Process Multivariate Regression-Tensor Analysis

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design,fabrication,characterization and reliability study of CMOS-MEMS Lorentz-force magnetometers

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Microsystems & Nanoengineering 2022年第5期8卷 17-41页

作者： J.J.Valle J.M.Sánchez-Chiva D.Fernández J.Madrenas Department of Electronic Engineering Universitat Politècnica de CatalunyaJordi Girona 1 i 3Edifici C408034 BarcelonaSpain Sorbonne Université CNRSLaboratoire de Recherche en Informatique(LIP6)UMR76064 place Jussieu75005 ParisFrance Institut de Física d’Altes Energies(IFAE) The Barcelona Institute of Science and Technology(BIST)Edifici Cn.Facultat Ciències NordUniversitat Autónoma de Barcelona08193 Bellaterra(Barcelona)Spain

This article presents several design techniques to fabricate micro-electro-mechanical systems(MEMS)using standard complementary metal-oxide semiconductor(CMOS)*** were applied to fabricate high yield CMOS-MEMS shielded Lorentz-force magnetometers(LFM).The multilayered metals and oxides of the back-end-of-line(BEOL),normally used for electronic routing,comprise the structural part of the *** most important fabrication challenges,modeling approaches and design solutions are *** that predict the Q factor,sensitivity,Brownian noise and resonant frequency as a function of temperature,gas pressure and design parameters are presented and validated in characterization tests.A number of the fabricated magnetometers were packaged into Quad Flat No-leads(QFN)*** show this process can achieve yields above 95%when the proper design techniques are *** CMOS not being a process for MEMS manufacturing,estimated performance(sensitivity and noise level)is similar or superior to current commercial magnetometers and others built with MEMS ***,typical offsets present in Lorentz-force magnetometers were prevented with a shielding electrode,whose efficiency is ***,several reliability test results are presented,which demonstrate the robustness against high temperatures,magnetic fields and acceleration shocks.

关键词： Lorentz magnetometer characterization

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Multifocal photoacoustic microscopy using a single-element ultrasonic transducer through an ergodic relay

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Light(Science & Applications) 2020年第1期9卷 717-723页

作者： Yang Li Terence T.W.Wong Junhui Shi Hsun-Chia Hsu Lihong V.Wang Caltech Optical Imaging Laboratory Andrew and Peggy Cherng Department of Medical EngineeringDepartment of Electrical EngineeringCalifornia Institute of Technology1200 East California BoulevardPasadenaCA 91125USA Department of Biomedical Engineering Washington University in St.LouisCampus Box 1097One Brookings DriveSt.LouisMO 63130-4899USA Translational and Advanced Bioimaging Laboratory Department of Chemical and Biological EngineeringHong Kong University of Science and TechnologyHong KongChina

Optical-resolution photoacoustic microscopy(OR-PAM)has demonstrated high-spatial-resolution imaging of optical absorption in biological *** date,most OR-PAM systems rely on mechanical scanning with confocally aligned optical excitation and ultrasonic detection,limiting the wide-field imaging speed of these *** several multifocal OR-PA(MFOR-PA)systems have attempted to address this limitation,they are hindered by the complex design in a constrained physical ***,we present a two-dimensional(2D)MFOR-PAM system that utilizes a 2D microlens array and an acoustic ergodic *** a single-element ultrasonic transducer,this system can detect PA signals generated from 400 optical foci in parallel and then raster scan the optical foci patterns to form an MFOR-PAM *** system improves the imaging resolution of an acoustic ergodic relay system from 220 to 13μm and enables 400-folds shorter scanning time than that of a conventional OR-PAM system at the same resolution and laser repetition *** demonstrated the imaging ability of the system with both in vitro and in vivo experiments.

关键词： element resolution utilize

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Data-Driven Networked Predictive Control of a Class of Nonlinear Systems with Random Packet Dropouts

Data-Driven Networked Predictive Control of a Class of Nonli...

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第36届中国控制会议

作者： Zhonghua Pang Cheng Lin Guoping Liu Cunwu Han Key Laboratory of Fieldbus Technology and Automation of Beijing North China University of Technology School of Engineering University of South Wales CTGT Center Harbin Institute of Technology

ISBN: (纸本)9781538629185

This paper investigates the data-driven networked control problem for a class of nonlinear systems with random packet dropouts in the feedback and forward *** compensate for the two-channel packet dropouts,a new data-driven networked predictive control method is proposed by using a dynamic linearization *** the controller design,a general dynamic linearization data model,i.e.,full form dynamic linearization model,is employed instead of the compact form dynamic linearization model to predict future system *** based on such a model,a sequence of future control increment predictions are generated and transmitted to the actuator through networks to compensate for the random packet dropouts in both *** proposed method merely depends on the input and output data of the controlled plant,without using any explicit or implicit information about its structure and ***,the effectiveness of the proposed method is demonstrated through simulation results.

关键词： Networked control systems(NCSs) data-driven control predictive control packet dropouts

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Load-Transfer Capacity and Failure behaviors of crosslinked interfaces in collagen-mimic carbon nanotube bundles

Load-Transfer Capacity and Failure behaviors of crosslinked ...

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中国力学大会-2017暨庆祝中国力学学会成立60周年大...

作者： Min Lin Xiaoyu Sun Wen Xie Zuoqi Zhang School of Civil Engineering Wuhan University Unité Matériaux et Transformations UMR 8207 CNRS/Université Lille1 Suzhou institute of Wuhan University

Weak interface has been a long-standing bottleneck critically hindering the exploitation of the ultra-high stiffness and strength of carbon nanotubes(CNTs) as reinforcement materials. Recent progress of technologies to introduce strong inter-tube crosslinks in CNT bundles/fibers makes the cross-linked interface design and optimization of highly practical interest. Inspired by the structure of collagen fibril,a covalently cross-linked interface design for ultra-strong CNT bundles has attracted a lot of attentions. In the present paper,molecular dynamics simulations were conducted to systematically study the load-transfer capacity and failure behaviors of the crosslinked interface,including the influence of crosslink type(length),density,and interface length. We found that even a small number of covalent crosslinks are able to significantly enhance the interface in stiffness and strength. Depending on the interface length and crosslink density,the shorter crosslinks usually yield higher interface stiffness while the longer crosslinks generally produce higher interface strength. There are three major failure modes found in the simulations as the crosslink density and interface length increase,namely the abrupt interface failure,the gradual interface failure and the CNT break. A forth failure mode was also unveiled upon a critical and optimal interface design,in which bond breaks propagate simultaneously and gradually in crosslinked interfaces and CNTs. The optimal design is highly desired in engineering applications since it can simultaneously provide superior stiffness,strength and toughness. The current study provides useful guidelines for the interface design of collagen-inspired CNT bundles,in which inter-tube crosslink is a crucial feature for their integrity and extraordinary mechanical properties.

关键词： staggered pattern covalent crosslink bioinspired fiber design

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高水力条件下深部砂岩的强度与储能交互特征

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Journal of Central South University 2020年第10期27卷 3053-3062页

作者：李飞由爽纪洪广 ELMO Davide 王洪涛 Beijing Key Laboratory of Urban Underground Space Engineering University of Science and Technology BeijingBeijing 100083China School of Civil and Resource Engineering University of Science and Technology BeijingBeijing 100083China institute of Mining Engineering University of British ColumbiaBC V6T 1Z4Canada

为了研究围压和孔隙水压对深部砂岩强度特征、储能状态和峰值破坏时能量释放烈度的影响规律,开展一系列水力耦合条件下的三轴压缩试验。通过分析岩石变形破坏过程,获得其应力阈值。利用图形积分方法获得深部砂岩在峰前阶段总能量密度、... 详细信息

为了研究围压和孔隙水压对深部砂岩强度特征、储能状态和峰值破坏时能量释放烈度的影响规律,开展一系列水力耦合条件下的三轴压缩试验。通过分析岩石变形破坏过程,获得其应力阈值。利用图形积分方法获得深部砂岩在峰前阶段总能量密度、弹性能量密度、耗散能量密度的变化趋势。对比不同围压下岩石的动态储能水平,分析孔隙水压对岩石闭合应力、起裂应力、损伤应力、峰值应力等应力阈值处能量耗散的影响。基于峰前、后总能量密度的比值,研究围压与孔隙水压对深部砂岩岩爆倾向性的相互作用机理。实验结果表明,砂岩峰值应力随着围压的增加而增加,而孔隙水压的存在可以削弱砂岩的峰值应力。在自闭合应力至峰值应力间的应力阶段,岩石的动态储能水平呈现出反“对勾”的演化趋势。同时随着围压的增加,动态储能水平上升。然而,孔隙水压增大岩石的能量耗散程度,降低岩石的储能能力,耗散程度与孔隙水压呈线性关系。围压的增大加剧深部砂岩的失稳破坏现象,而孔隙水压具有相反作用。研究成果将为高应力、高孔隙水压下砂岩地层工程岩体开挖稳定性分析提供有力的数据支撑。

关键词：深部砂岩高水压力学特性能量储存岩爆倾向性

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