scholarly journals An approach towards tailoring interfacial structures and properties of multiphase renewable thermoplastics from lignin–nitrile rubber

2016 ◽  
Vol 18 (20) ◽  
pp. 5423-5437 ◽  
Author(s):  
Tony Bova ◽  
Chau D. Tran ◽  
Mikhail Y. Balakshin ◽  
Jihua Chen ◽  
Ewellyn A. Capanema ◽  
...  
Keyword(s):  
High Performance ◽  
Low Cost ◽  
General Purpose ◽  
Nitrile Rubber ◽  
Butadiene Rubber ◽  
Acrylonitrile Butadiene Rubber ◽  
Interfacial Structures ◽  
Structures And Properties ◽  
Reactive Mixing

High-performance multiphase thermoplastics were synthesized by reactive mixing of unmodified industrial lignin and low-cost additives in a matrix of general-purpose acrylonitrile-butadiene rubber (NBR).

scholarly journals Improved Mechanical and Electrochemical Properties of XNBR Dielectric Elastomer Actuator by Poly(dopamine) Functionalized Graphene Nano-Sheets

Polymers ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 218 ◽  
Author(s):  
Dan Yang ◽  
Xinxin Kong ◽  
Yufeng Ni ◽  
Mengnan Ruan ◽  
Shuo Huang ◽  
...  
Keyword(s):  
Electrochemical Properties ◽  
High Performance ◽  
Low Cost ◽  
Dielectric Strength ◽  
Dielectric Elastomer ◽  
Hydroxyl Groups ◽  
Butadiene Rubber ◽  
Functionalized Graphene ◽  
Filler Dispersion ◽  
Phenolic Hydroxyl Groups

In this work, graphene nano-sheets (GNS) functionalized with poly(dopamine) (PDA) (denoted as GNS-PDA) were dispersed in a carboxylated nitrile butadiene rubber (XNBR) matrix to obtain excellent dielectric composites via latex mixing. Because hydrogen bonds were formed between –COOH groups of XNBR and phenolic hydroxyl groups of PDA, the encapsulation of GNS-PDA around XNBR latex particles was achieved, and led to a segregated network structure of filler formed in the GNS-PDA/XNBR composite. Thus, the XNBR composite filled with GNS-PDA showed improved filler dispersion, enhanced dielectric constant and dielectric strength, and decreased conductivity compared with the XNBR composite filled with pristine GNS. Finally, the GNS-PDA/XNBR composite displayed an actuated strain of 2.4% at 18 kV/mm, and this actuated strain was much larger than that of pure XNBR (1.3%) at the same electric field. This simple, environmentally friendly, low-cost, and effective method provides a promising route for obtaining a high-performance dielectric elastomer with improved mechanical and electrochemical properties.

scholarly journals Organic Solvent Free Process to Fabricate High Performance Silicon/Graphite Composite Anode

2021 ◽  
Vol 5 (7) ◽  
pp. 188
Author(s):  
Chen Fang ◽  
Haiqing Xiao ◽  
Tianyue Zheng ◽  
Hua Bai ◽  
Gao Liu
Keyword(s):  
Organic Solvent ◽  
High Performance ◽  
Low Cost ◽  
Solvent Free ◽  
Styrene Butadiene Rubber ◽  
Butadiene Rubber ◽  
Composite Electrodes ◽  
Graphite Composite ◽  
Free Process ◽  
Composite Anodes

Cycling stability is a key challenge for application of silicon (Si)-based composite anodes as the severe volume fluctuation of Si readily leads to fast capacity fading. The binder is a crucial component of the composite electrodes. Although only occupying a small amount of the total composite mass, the binder has major impact on the long-term electrochemical performance of Si-based anodes. In recent years, water-based binders including styrene-butadiene rubber (SBR) and carboxymethyl cellulose (CMC) have attracted wide research interest as eco-friendly and low-cost alternatives for the conventional poly(vinylidene difluoride) (PVDF) binder in Si anodes. In this study, Si-based composite anodes are fabricated by simple solid mixing of the active materials with subsequent addition of SBR and CMC binders. This approach bypasses the use of toxic and expansive organic solvents. The factors of binder, silicon, and graphite materials have been systematically investigated. It is found that the retained capacities of the anodes are more than 440 mAh/g after 400 cycles. These results indicate that organic solvent free process is a facile strategy for producing high performance silicon/graphite composite anodes.

scholarly journals Applications of Machine Learning and High-Performance Computing in the Era of COVID-19

2021 ◽  
Vol 4 (3) ◽  
pp. 40
Author(s):  
Abdul Majeed
Keyword(s):  
Machine Learning ◽  
High Performance Computing ◽  
High Performance ◽  
Low Cost ◽  
General Purpose ◽  
Prototype System ◽  
Successful Implementation ◽  
Privacy And Security ◽  
Applications Of Machine Learning ◽  
Performance Computing

During the ongoing pandemic of the novel coronavirus disease 2019 (COVID-19), latest technologies such as artificial intelligence (AI), blockchain, learning paradigms (machine, deep, smart, few short, extreme learning, etc.), high-performance computing (HPC), Internet of Medical Things (IoMT), and Industry 4.0 have played a vital role. These technologies helped to contain the disease’s spread by predicting contaminated people/places, as well as forecasting future trends. In this article, we provide insights into the applications of machine learning (ML) and high-performance computing (HPC) in the era of COVID-19. We discuss the person-specific data that are being collected to lower the COVID-19 spread and highlight the remarkable opportunities it provides for knowledge extraction leveraging low-cost ML and HPC techniques. We demonstrate the role of ML and HPC in the context of the COVID-19 era with the successful implementation or proposition in three contexts: (i) ML and HPC use in the data life cycle, (ii) ML and HPC use in analytics on COVID-19 data, and (iii) the general-purpose applications of both techniques in COVID-19’s arena. In addition, we discuss the privacy and security issues and architecture of the prototype system to demonstrate the proposed research. Finally, we discuss the challenges of the available data and highlight the issues that hinder the applicability of ML and HPC solutions on it.

scholarly journals Performance Analysis of Parallelized Bioinformatics Applications

2018 ◽  
Vol 7 (2) ◽  
pp. 70-74
Author(s):  
Dhruv Chander Pant ◽  
O. P. Gupta
Keyword(s):  
Distributed Computing ◽  
High Performance ◽  
Low Cost ◽  
General Purpose ◽  
Computational Power ◽  
Genome Data ◽  
Technological Developments ◽  
General Purpose Computer ◽  
Performance Computing ◽  
Purpose Computer

The main challenges bioinformatics applications facing today are to manage, analyze and process a huge volume of genome data. This type of analysis and processing is very difficult using general purpose computer systems. So the need of distributed computing, cloud computing and high performance computing in bioinformatics applications arises. Now distributed computers, cloud computers and multi-core processors are available at very low cost to deal with bulk amount of genome data. Along with these technological developments in distributed computing, many efforts are being done by the scientists and bioinformaticians to parallelize and implement the algorithms to take the maximum advantage of the additional computational power. In this paper a few bioinformatics algorithms have been discussed. The parallelized implementations of these algorithms have been explained. The performance of these parallelized algorithms has been also analyzed. It has been also observed that in parallel implementations of the various bioinformatics algorithms, impact of communication subsystems with respect to the job sizes should also be analyzed.

Performance Comparisons of Timing Techniques in a Non-Real-Time Environment

2005 ◽  
Author(s):  
Frederick M. Proctor ◽  
Justin R. Hibbits
Keyword(s):  
Operating System ◽  
Real Time ◽  
Operating Systems ◽  
High Performance ◽  
Low Cost ◽  
General Purpose ◽  
Control Applications ◽  
Real Time Operating System ◽  
Performance Comparisons

General-purpose computers are increasingly being used for serious control applications, due to their prevalence, low cost and high performance. Real-time operating systems are available for PCs that overcome the nondeterminism inherent in desktop operating systems. Depending on the timing requirements, however, many users can get by with a non-real-time operating system. This paper discusses timing techniques applicable to non-real-time operating systems, using Linux as an example, and compares them with the performance that can be obtained with true real-time OSes.

Application of FTIR in characterization of acrylonitrile-butadiene rubber (nitrile rubber)

2007 ◽  
Vol 26 (1) ◽  
pp. 38-41 ◽  
Author(s):  
S. Chakraborty ◽  
S. Bandyopadhyay ◽  
R. Ameta ◽  
R. Mukhopadhyay ◽  
A.S. Deuri
Keyword(s):  
Nitrile Rubber ◽  
Butadiene Rubber ◽  
Acrylonitrile Butadiene Rubber

scholarly journals RPG: A low-cost, open-source, high-performance solution for displaying visual stimuli

2020 ◽  
Author(s):  
Vivian Imbriotis ◽  
Adam Ranson ◽  
William M Connelly
Keyword(s):  
Credit Card ◽  
High Performance ◽  
Low Cost ◽  
Sine Wave ◽  
General Purpose ◽  
Raspberry Pi ◽  
Visual Neuroscience ◽  
Stimulus Timing ◽  
Sine Wave Gratings ◽  
Python Package

AbstractThe development of new high throughput approaches for neuroscience such as high-density silicon probes and 2-photon imaging have led to a renaissance in visual neuroscience. However, generating the stimuli needed to evoke activity in the visual system still represents a non-negligible difficulty for experimentalists. While several widely used software toolkits exist to deliver such stimuli, they all suffer from some shortcomings. Primarily, the hardware needed to effectively display such stimuli comes at a significant financial cost, and secondly, triggering and/or timing the stimuli such that it can be accurately synchronized with other devices requires the use of legacy hardware, further hardware, or bespoke solutions.Here we present RPG, a Python package written for the Raspberry Pi, which overcomes these issues. Specifically, the Raspberry Pi is a low-cost, credit card sized computer with general purpose input/output pins, allowing RPG to be triggered to deliver stimuli and to provide real-time feedback on stimulus timing. RPG delivers stimuli at >60 frames per second and the feedback of frame timings is accurate to 10s of microseconds.We provide a simple to use Python interface that is capable of generating drifting sine wave gratings, Gabor patches and displaying raw images/video.

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