Large-scale fabrication of porous bulk silver thin sheets with tunable porosity for high-performance binder-free supercapacitor electrodes

RSC Advances ◽  
2015 ◽  
Vol 5 (56) ◽  
pp. 45194-45200 ◽  
Author(s):  
Xiangyu Wang ◽  
Pinghui Zhang ◽  
Sascha Vongehr ◽  
Shaochun Tang ◽  
Yongguang Wang ◽  
...  
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Thin Sheets ◽  
Bulk Silver ◽  
Binder Free ◽  
Novel Method

We report a novel method for the large-scale fabrication of porous bulk silver thin sheets (PSTS) built from three-dimensionally interconnected nanoparticles (NPs).

Electrodes: Engraving Copper Foil to Give Large-Scale Binder-Free Porous CuO Arrays for a High-Performance Sodium-Ion Battery Anode (Adv. Mater. 14/2014)

2014 ◽  
Vol 26 (14) ◽  
pp. 2284-2284 ◽  
Author(s):  
Shuang Yuan ◽  
Xiao-lei Huang ◽  
De-long Ma ◽  
Heng-guo Wang ◽  
Fan-zhi Meng ◽  
...  
Keyword(s):  
High Performance ◽  
Copper Foil ◽  
Large Scale ◽  
Sodium Ion ◽  
Sodium Ion Battery ◽  
Binder Free ◽  
Battery Anode

scholarly journals A Method for Detecting and Analyzing Facial Features of People with Drug Use Disorders

Diagnostics ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1562
Author(s):  
Yongjie Li ◽  
Xiangyu Yan ◽  
Bo Zhang ◽  
Zekun Wang ◽  
Hexuan Su ◽  
...  
Keyword(s):  
Drug Use ◽  
High Performance ◽  
Large Scale ◽  
Facial Features ◽  
Clinical Workflow ◽  
Performance Accuracy ◽  
Drug Use Disorders ◽  
Large Scale Dataset ◽  
Novel Method ◽  
Facial Images

Drug use disorders caused by illicit drug use are significant contributors to the global burden of disease, and it is vital to conduct early detection of people with drug use disorders (PDUD). However, the primary care clinics and emergency departments lack simple and effective tools for screening PDUD. This study proposes a novel method to detect PDUD using facial images. Various experiments are designed to obtain the convolutional neural network (CNN) model by transfer learning based on a large-scale dataset (9870 images from PDUD and 19,567 images from GP (the general population)). Our results show that the model achieved 84.68%, 87.93%, and 83.01% in accuracy, sensitivity, and specificity in the dataset, respectively. To verify its effectiveness, the model is evaluated on external datasets based on real scenarios, and we found it still achieved high performance (accuracy > 83.69%, specificity > 90.10%, sensitivity > 80.00%). Our results also show differences between PDUD and GP in different facial areas. Compared with GP, the facial features of PDUD were mainly concentrated in the left cheek, right cheek, and nose areas (p < 0.001), which also reveals the potential relationship between mechanisms of drugs action and changes in facial tissues. This is the first study to apply the CNN model to screen PDUD in clinical practice and is also the first attempt to quantitatively analyze the facial features of PDUD. This model could be quickly integrated into the existing clinical workflow and medical care to provide capabilities.

Construction of unique cupric oxide–manganese dioxide core–shell arrays on a copper grid for high-performance supercapacitors

2016 ◽  
Vol 4 (28) ◽  
pp. 10786-10793 ◽  
Author(s):  
Hao Chen ◽  
Ming Zhou ◽  
Tian Wang ◽  
Fei Li ◽  
Yu Xin Zhang
Keyword(s):  
Manganese Dioxide ◽  
High Performance ◽  
Large Scale ◽  
Cupric Oxide ◽  
Wet Etching ◽  
Core Shell ◽  
Hydrothermal Deposition ◽  
Shell Nanostructures ◽  
Binder Free

Unique CuO@MnO2 core–shell nanostructures on a copper grid have been prepared on a large scale by quick wet etching and hydrothermal deposition methods for advanced binder-free supercapacitor electrodes.

Engraving Copper Foil to Give Large-Scale Binder-Free Porous CuO Arrays for a High-Performance Sodium-Ion Battery Anode

2014 ◽  
Vol 26 (14) ◽  
pp. 2273-2279 ◽  
Author(s):  
Shuang Yuan ◽  
Xiao-lei Huang ◽  
De-long Ma ◽  
Heng-guo Wang ◽  
Fan-zhi Meng ◽  
...  
Keyword(s):  
High Performance ◽  
Copper Foil ◽  
Large Scale ◽  
Sodium Ion ◽  
Sodium Ion Battery ◽  
Binder Free ◽  
Battery Anode

scholarly journals All Binder-Free Electrodes for High-Performance Wearable Aqueous Rechargeable Sodium-Ion Batteries

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Bing He ◽  
Ping Man ◽  
Qichong Zhang ◽  
Huili Fu ◽  
Zhenyu Zhou ◽  
...  
Keyword(s):  
High Performance ◽  
Large Scale ◽  
Electrode Materials ◽  
High Capacity ◽  
Accessible Surface Area ◽  
Sodium Ion ◽  
Sodium Ion Batteries ◽  
Binder Free ◽  
Accessible Surface ◽  
Carbon Nanotube Fibers

AbstractExtensive efforts have recently been devoted to the construction of aqueous rechargeable sodium-ion batteries (ARSIBs) for large-scale energy-storage applications due to their desired properties of abundant sodium resources and inherently safer aqueous electrolytes. However, it is still a significant challenge to develop highly flexible ARSIBs ascribing to the lack of flexible electrode materials. In this work, nanocube-like KNiFe(CN)6 (KNHCF) and rugby ball-like NaTi2(PO4)3 (NTP) are grown on carbon nanotube fibers via simple and mild methods as the flexible binder-free cathode (KNHCF@CNTF) and anode (NTP@CNTF), respectively. Taking advantage of their high conductivity, fast charge transport paths, and large accessible surface area, the as-fabricated binder-free electrodes display admirable electrochemical performance. Inspired by the remarkable flexibility of the binder-free electrodes and the synergy of KNHCF@CNTF and NTP@CNTF, a high-performance quasi-solid-state fiber-shaped ARSIB (FARSIB) is successfully assembled for the first time. Significantly, the as-assembled FARSIB possesses a high capacity of 34.21 mAh cm−3 and impressive energy density of 39.32 mWh cm−3. More encouragingly, our FARSIB delivers superior mechanical flexibility with only 5.7% of initial capacity loss after bending at 90° for over 3000 cycles. Thus, this work opens up an avenue to design ultraflexible ARSIBs based on all binder-free electrodes for powering wearable and portable electronics.

Ultra-long Na2V6O16·xH2O nanowires: large-scale synthesis and application in binder-free flexible cathodes for lithium ion batteries

RSC Advances ◽  
2016 ◽  
Vol 6 (7) ◽  
pp. 5161-5168 ◽  
Author(s):  
Weidong Zhang ◽  
Guobao Xu ◽  
Liwen Yang ◽  
Jianwen Ding
Keyword(s):  
Lithium Ion Batteries ◽  
High Performance ◽  
Large Scale ◽  
Lithium Ion ◽  
Binder Free ◽  
Large Scale Synthesis

Large-scale synthesis and application of ultra-long Na2V6O16·xH2O nanowires as binder-free flexible cathodes for high performance LIBs are demonstrated.

The Structure and Properties of MoSi2 Thin Film in Mos Process

1980 ◽  
Vol 38 ◽  
pp. 326-327
Author(s):  
C.K. Wu ◽  
P. Chang ◽  
N. Godinho
Keyword(s):  
Thin Film ◽  
Integrated Circuits ◽  
High Performance ◽  
Large Scale ◽  
Process Development ◽  
Structure And Properties ◽  
Metal Silicides ◽  
High Oxidation ◽  
Important Approach ◽  
High Oxidation Resistance

Recently, the use of refractory metal silicides as low resistivity, high temperature and high oxidation resistance gate materials in large scale integrated circuits (LSI) has become an important approach in advanced MOS process development (1). This research is a systematic study on the structure and properties of molybdenum silicide thin film and its applicability to high performance LSI fabrication.

RECOMMENDATIONS FOR THE CHOICE OF MILKING INSTALLATIONS IN LOOSE HOUSING SYSTEMS OF COWS

2020 ◽  
Author(s):  
В.В. ГОРДЕЕВ ◽  
В.Е. ХАЗАНОВ
Keyword(s):  
Dairy Cows ◽  
High Performance ◽  
Large Scale ◽  
Dairy Farms ◽  
Economic Indicators ◽  
Technical Level ◽  
Housing Systems ◽  
Working Shift ◽  
Technical And Economic Indicators

При выборе типа доильной установки и ее размера необходимо учитывать максимальное планируемое поголовье дойных коров и размер технологической группы, кратность и время одного доения, продолжительность рабочей смены дояров. Анализ технико-экономических показателей наиболее распространенных на сегодняшний день типов доильных установок одинакового технического уровня свидетельствует, что наилучшие удельные показатели имеет установка типа «Карусель» (1), а установка типа «Елочка» (2) требует более высоких затрат труда и средств. Установка «Параллель» (3) занимает промежуточное положение. Из анализа пропускной способности и количества необходимых операторов: установка 2 рекомендована для ферм с поголовьем дойного стада до 600 голов, 3 — не более 1200 дойных коров, 1 — более 1200 дойных коров. «Карусель» — наиболее рациональный, высокопроизводительный, легко автоматизируемый и, следовательно, перспективный способ доения в залах, особенно для крупных молочных ферм. The choice of the proper type and size of milking installations needs to take into account the maximum planned number of dairy cows, the size of a technological group, the number of milkings per day, and the duration of one milking and the operator's working shift. The analysis of technical and economic indicators of currently most common types of milking machines of the same technical level revealed that the Carousel installation had the best specific indicators while the Herringbone installation featured higher labour inputs and cash costs. The Parallel installation was found somewhere in between. In terms of the throughput and the required number of operators Herringbone is recommended for farms with up to 600 dairy cows, Parallel — below 1200 dairy cows, Carousel — above 1200 dairy cows. Carousel was found the most practical, high-performance, easily automated and, therefore, promising milking system for milking parlours, especially on the large-scale dairy farms.

Enzymatic Synthesis of 15N-L-aspartic Acid Using Recombinant Aspartase from Escherichia Coli K12

2008 ◽  
Vol 59 (11) ◽  
Author(s):  
Iulia Lupan ◽  
Sergiu Chira ◽  
Maria Chiriac ◽  
Nicolae Palibroda ◽  
Octavian Popescu
Keyword(s):  
Amino Acids ◽  
Aspartic Acid ◽  
Enzymatic Synthesis ◽  
Large Scale ◽  
Recombinant Dna ◽  
Industrial Enzymes ◽  
Recombinant Dna Technology ◽  
Bacterial Fermentation ◽  
Natural Protein ◽  
Novel Method

Amino acids are obtained by bacterial fermentation, extraction from natural protein or enzymatic synthesis from specific substrates. With the introduction of recombinant DNA technology, it has become possible to apply more rational approaches to enzymatic synthesis of amino acids. Aspartase (L-aspartate ammonia-lyase) catalyzes the reversible deamination of L-aspartic acid to yield fumaric acid and ammonia. It is one of the most important industrial enzymes used to produce L-aspartic acid on a large scale. Here we described a novel method for [15N] L-aspartic synthesis from fumarate and ammonia (15NH4Cl) using a recombinant aspartase.

scholarly journals Statistical and machine learning models for optimizing energy in parallel applications

2019 ◽  
Vol 33 (6) ◽  
pp. 1079-1097 ◽  
Author(s):  
Mark Endrei ◽  
Chao Jin ◽  
Minh Ngoc Dinh ◽  
David Abramson ◽  
Heidi Poxon ◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Efficiency ◽  
High Performance ◽  
Large Scale ◽  
Energy Use ◽  
Parallel Applications ◽  
Learning Models ◽  
Trade Off ◽  
Time Required ◽  
Machine Learning Models

Rising power costs and constraints are driving a growing focus on the energy efficiency of high performance computing systems. The unique characteristics of a particular system and workload and their effect on performance and energy efficiency are typically difficult for application users to assess and to control. Settings for optimum performance and energy efficiency can also diverge, so we need to identify trade-off options that guide a suitable balance between energy use and performance. We present statistical and machine learning models that only require a small number of runs to make accurate Pareto-optimal trade-off predictions using parameters that users can control. We study model training and validation using several parallel kernels and more complex workloads, including Algebraic Multigrid (AMG), Large-scale Atomic Molecular Massively Parallel Simulator, and Livermore Unstructured Lagrangian Explicit Shock Hydrodynamics. We demonstrate that we can train the models using as few as 12 runs, with prediction error of less than 10%. Our AMG results identify trade-off options that provide up to 45% improvement in energy efficiency for around 10% performance loss. We reduce the sample measurement time required for AMG by 90%, from 13 h to 74 min.

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