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Continuous water-water hydrogen bonding network across the rim of carbon nanotubes facilitating water transport for desalination

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Nano Research 2021年第7期14卷 2171-2178页

作者： Yaqi Hou Miao Wang xinyu chen Xu Hou State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical EngineeringXiamen UniversityXiamen 361005China College of Materials Xiamen UniversityXiamen 361005China Research Institute for Biomimetics and Soft Matter Fujian Provincial Key Laboratory for Soft Functional Materials ResearchJiujiang Research InstituteCollege of Physical Science and TechnologyXiamen UniversityXiamen 361005China Collaborative Innovation Center of Chemistry for Energy Materials Xiamen UniversityXiamen 361005China Tan Kah Kee Innovation Laboratory Xiamen 361102China CAS Key Laboratory of Bio-inspired Materials and Interfacial Sciences Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing 100190China

The development of membranes featuring carbon nanotubes(CNTs)have provided possibilities of next-generation solar desalination *** solar desalination,the microstructures and interactions between the filter membrane and seawater play a crucial role in desalination *** the mechanisms of water evaporation and ion rejection in confined pores or channels is necessary to optimize the desalting ***,using non-equilibrium molecular dynamics simulations,we found that continuous water-water hydrogen bonding network across the rims of CNTs is the key factor in facilitating water transport through *** the continuous hydrogen bonding network,the water flux is two times of that without the continuous hydrogen bonding *** CNT arrays,each CNT transports water molecules and rejects salt ions *** on these observations,using CNT arrays consisted with densely packed thin CNTs is the most advisable strategy for evaporation desalination,possessing high transport flux as well as maintaining high salt rejection.

关键词： carbon nanotubes hydrogen bonding network facilitated water transport salt rejection desalination

First Eggs of Fossil Bristletails (Meinertellidae： Microcoryphia) from Burmese Amber

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Acta Geologica Sinica(English Edition) 2017年第4期91卷 1489-1490页

作者： chen xinyu SU Guifen Cores and Samples Center of Land & Resources (CSCLR) Sanhe 065201 HebeL China

Fossil microcoryphids are scarce. Silverstri （1912） described two genera and eight species of Machilidae or Machiloidae incertae sedis from Baltic amber （35-40 Myr）. In Cretaceous Myanmar amber （burmite： -99 Myr） one preserved Machilidae plus five undetermined specimens were reported but with no details by Grimaldi et al. （2002）. In Dominican amber （20-25 Myr） only Neomachilellus （Praeneomachilellus） dominicanus （Sturm ＆ Poinar 1997： Meinertellidae） has been found. Mendes （2013） considered that one undetermined Microcoryphia specimen preserved in burmite belonged to the genus Macropsontus, but did not provide enough argumentation.

关键词： pair IX body length from Burmese Amber First Eggs of Fossil Bristletails Meinertellidae:Microcoryphia

Classification and Spatial Pattern of Township Development in Liaoning Province, China

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Chinese Geographical Science 2023年第4期33卷 708-718页

作者： LIU Xiaohui ZHENG Xingming LIU Wenxin chen xinyu Northeast Institute of Geography and Agroecology Chinese Academy of SciencesChangchun 130102China College of Resource and Environment University of Chinese Academy of SciencesBeijing 100049China Jillin Provincial Joint Laboratory of Changbai Mountain Wetland and Ecology Northeast Institute of Geography and AgroecologyChinese Academy of SciencesChangchun 130102China Jillin Jianzhu University Changchun 130118China

The classification of township development types is an urgent problem that requires solution to enable the township to choose an appropriate development *** a township development classification method,we determine the township development types and their spatial patterns in Liaoning Province,*** results showed that the patterns of township development types based on their general advantages had significant spatial *** planting,and livestock and poultry breeding township development types based on general advantages were mainly distributed across the central plain of Liaoning Province,China,and also concentrated in Dandong City−Dalian City along Yellow Sea coast,and in the northwest of Chaoyang *** business and tourism,industry and mining,and residence township development types based on general advantages were distributed mainly along the Shenyang–Dalian Economic Belt in the central and southern Liaoning *** ecology township development type based on general advantages was mainly distributed in the eastern and western Liaoning Province to maintain regional ecological *** development types based on non-advantages were sporadically distributed in the middle and western Liaoning *** on the classification and spatial patterns,the differences between the distribution of twonship development types and the plan for the major functional areas of Liaoning Province were proposed which could provide the basis for the optimization of the major functional areas.

关键词： general advantage township development type spatial pattern Liaoning Province,China

Experimental investigation on the cavity-based scramjet model

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Chinese Science Bulletin 2009年第16期54卷 2794-2799页

作者： GU HongBin chen LiHong CHANG xinyu Key Laboratory of High Temperature Gas Dynamics Institute of Mechanics Chinese Academy of Sciences Beijing 100190 China

The present work focused on improving the engine performance with different fuel equivalence ratios and fuel injections. A scramjet model with strut/cavity integrated configurations was tested under Mach 5.8 flows. The results showed that the strut may sreve as an effective tool in a kerosene-fueled scramjet. The integration of strut/cavities also had great effect on stablizing the combustion in a wide range of fuel equivalence ratio. The one-sdimensional analysis method was used to analyze the main characteristics of the model. The two-stage fuel injection should have better performance in increasing the chemical reaction rate in the first cavity region.

关键词：发动机模型超燃冲压发动机性能实验化学反应速率燃油喷射冲压发动机综合配置

Inverse design with deep generative models: next step in materials discovery

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National Science Review 2022年第8期9卷 15-17页

作者： Shuaihua Lu Qionghua Zhou xinyu chen Zhilong Song Jinlan Wang School of Physics Southeast University

In the past few years, machine-learning(ML) techniques have been extensively applied in material discovery. Such techniques are applied to minimize the computationally or experimentally expensive costs of the research process, greatly reducing overall design time [1]. Typically,ML algorithms are combined with traditional methods like first-principle calculations to accelerate the optimization of compositions on the known crystal structures(elemental substitution) in the database or literature, or to search for new configurations of a fixed chemical composition.

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Wind and Solar Power in the United States:Status and Prospects

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CSEE Journal of Power and Energy Systems 2017年第1期3卷 1-6页

作者： Michael B McElroy xinyu chen Join A.Paulson School of Engineering and Applied Sciences Harvard UniversityCambridgeMA02138USA

The United States has committed to reduce its greenhouse gas emissions by 26%–28%by 2025 and by 83%by 2050 relative to *** these objectives will require major investments in renewable energy options,particularly wind and *** investments are promoted at the federal level by a variety of tax credits,and at the state level by requirements for utilities to include specific fractions of renewable energy in their portfolios(Renewable Portfolio Standards)and by opportunities for rooftop PV systems to transfer excess power to utilities through net metering,allowing meters to operate in *** paper discusses the current status of these incentives.

关键词： Incentives net metering renewable energy renewable energy portfolio

Multifunctional aramid nanofibers reinforced RGO aerogels integrated with high-efciency microwave absorption, sound absorption and heat insulation performance

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Journal of Materials Science & Technology 2022年第35期130卷 166-175页

作者： Qian Liu Liang Tang Jinzhe Li Yao chen Zhengkang Xu Jiatong Li xinyu chen Fanbin Meng Key Laboratory of Advanced Technologies of Materials(Ministry of Education) School of Materials Science and EngineeringSouthwest Jiaotong UniversityChengdu 610031China Shenzhen Institute of Southwest Jiaotong University Shenzhen 518000China

Although lightweight and three-dimensional(3 D) graphene aerogels are highly desirable for microwave absorption(MA) due to their high porosity,specific surface area,and 3 D conductive network,it still remains a large challenge to construct a multifunctional application framework to quickly adapt to the complex practical environment,making it to be efficiently applied in a variety of complex ***,multifunctional aramid nanofibers(ANFs) reinforced reduced graphene oxide aerogels(RGO@ANF) have been achieved by in-situ gel reaction,freeze-drying,and thermal annealing *** introduced ANFs in RGO aerogels can prevent the graphene sheets from over-stacking and enhance the connectivity of cell walls,thus leading to excellent compression resistance,MA,sound absorption,and thermal insulation *** 70% strain,the maximum compressive stress of RGO@ANF aerogel reaches78.8 kPa,and reversible compressibility with reliable resistance to fatigue for 100 compressive cycles at20% ***,the RGO@ANF aerogel exhibit a minimum reflection loss(RL_(min)) of-56.5 dB and a maximum effective absorption bandwidth(EAB) of 7.0 GHz at a thickness of 2.8 mm,basically covering the X and Ku ***,the hybrid aerogel exhibited excellent sound absorption with an average absorption coefficient> 0.56 at 2-6 kHz and good thermal insulation performance with low thermal conductivity of about 49.18 mW *** integrated graphene aerogels with such multifunctional performances hold a great promise for applications such as MA,sound absorption,and heat insulation.

关键词： Graphene-based aerogels Reversible Compressibility Microwave absorptio Heat insulation Sound absorption

Transition towards higher penetration of renewables: an overview of interlinked technical, environmental and socio-economic challenges

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Journal of Modern Power Systems and Clean Energy 2019年第1期7卷 1-8页

作者： xinyu chen Michael B.MCELROY Qiuwei WU Yinbiao SHU Yusheng XUE John A.Paulson School of Engineering and Applied Sciences Harvard University Department of Electrical Engineering Technical University of Denmark State Grid Corporation of China State Grid Electric Power Research Institute

Investment for renewables has been growing rapidly since the beginning of the new century, and the momentum is expected to sustain in order to mitigate the impact of anthropogenic climate *** towards higher renewable penetration in the power industry will not only confront technical challenges, but also face socio-economic *** connected between environment and energy systems are also tightened under elevated penetration of *** paper will provide an overview of some important challenges related to technical, environmental and socio-economic aspects at elevated renewable *** integrated analytical framework for interlinked technical, environmental and socio-economic systems will be presented at the end.

关键词： Wind power Solar power Integrated energy systems Missing money problem Low carbon policies

Knowledge-based neural network SPICE modeling for MOSFETs and its application on 2D material field-effect transistors

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Science China(Information Sciences) 2023年第2期66卷 227-236页

作者： Guodong QI xinyu chen Guangxi HU Peng ZHOU Wenzhong BAO Ye LU State Key Laboratory of ASIC and System School of Information Science and TechnologyFudan University State Key Laboratory of ASIC and System School of Microelectronics Fudan University Zhangjiang Fudan International Innovation Center Fudan University

As the traditional scaling of silicon metal-oxide-semiconductor field-effect transistors(MOSFETs) reaches its physical limit, research efforts on novel semiconductor devices are increasingly desired. To enable the joint optimization of early-stage circuit design and process of novel devices, the rapid creation of an accurate compact model of these devices with the capability to cover process variations is required. In this work, a knowledge-based neural network(KNN) modeling method is proposed. This method separates the geometrical variables from the other input variables of the device, where the geometrical variables are modeled with physics-based analytical equations, while the remaining part is modeled by an artificial neural network. The KNN model takes advantage of the automated numerical fitting capability of the neural network and the geometrical scalability from device physics. The created KNN model is first validated with silicon MOSFET data from the industry standard BSIM6 and shows more than 20% accuracy improvement as compared with the traditional neural network model. Furthermore, MoS2field-effect transistors and circuits,such as ring oscillators, standard cells, and logic functional circuits, are experimentally fabricated for model verification. The results show that the KNN model is capable of predicting the electrical characteristics of devices beyond the measurement geometry and facilitates the accurate simulations of statistical circuits with respect to experimental data. This work paves the way for future circuit designs and simulations of novel semiconductor devices.

关键词： knowledge-based neural network MOSFET 2D material FETs Monte Carlo simulations circuit benchmark