The next generation mass storage devices – Physical principles and current status

2014 ◽  
Vol 55 (2) ◽  
pp. 75-93 ◽  
Author(s):  
L. Wang ◽  
S. Gai
Keyword(s):  
Current Status ◽  
Mass Storage ◽  
Next Generation ◽  
Storage Devices ◽  
Physical Principles

Integration of Single Co Atoms and Ru Nanoclusters Boosts the Cathodic Performance of Nitrogen-Doped 3D Graphene towards Lithium–Oxygen Batteries

2021 ◽  
Author(s):  
Mingrui Liu ◽  
Jing Li ◽  
Bing Chi ◽  
Long Zheng ◽  
Yuexing Zhang ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Density ◽  
Next Generation ◽  
Energy Storage Devices ◽  
3D Graphene ◽  
Storage Devices ◽  
Nitrogen Doped ◽  
Automotive Batteries ◽  
Lithium Oxygen Batteries

The Li-O2 battery is recognized as one of the most promising energy storage devices for next-generation automotive batteries due to its extremely high theoretical energy density. The design and preparation...

Catalytic Separator with Co–N–C Nanoreactor for High-Performance Lithium-Sulfur Batteries

2021 ◽  
Author(s):  
Longtao Ren ◽  
Qian Wang ◽  
Yajie Li ◽  
Cejun Hu ◽  
Yajun Zhao ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Density ◽  
High Performance ◽  
Next Generation ◽  
Energy Storage Devices ◽  
Storage Devices ◽  
Lithium Sulfur Batteries ◽  
Lithium Sulfur

Rechargeable lithium-sulfur (Li–S) batteries are considered one of the most promising next-generation energy storage devices because of their high theoretical energy density. However, the dissolution of lithium polysulfides (LiPSs) in...

Flexible all-solid-state fiber-shaped Ni–Fe batteries with high electrochemical performance

2019 ◽  
Vol 7 (2) ◽  
pp. 520-530 ◽  
Author(s):  
Qiulong Li ◽  
Qichong Zhang ◽  
Chenglong Liu ◽  
Juan Sun ◽  
Jiabin Guo ◽  
...  
Keyword(s):  
Energy Storage ◽  
Solid State ◽  
Electrochemical Performance ◽  
High Capacity ◽  
Core Shell ◽  
Next Generation ◽  
Energy Storage Devices ◽  
Storage Devices

The fiber-shaped Ni–Fe battery takes advantage of high capacity of hierarchical CoP@Ni(OH)2 NWAs/CNTF core–shell heterostructure and spindle-like α-Fe2O3/CNTF electrodes to yield outstanding electrochemical performance, demonstrating great potential for next-generation portable wearable energy storage devices.

scholarly journals Review of accelerator-based searches for Neutral Long-Lived Particles

2019 ◽  
Vol 43 (169) ◽  
pp. 638-645
Author(s):  
Marta Losada
Keyword(s):  
Parameter Space ◽  
Coupling Strength ◽  
Current Status ◽  
Next Generation ◽  
Fixed Target ◽  
Beam Dump ◽  
Basic Formalism ◽  
Neutral Lepton

In this paper we present the current status of searches for neutral long-lived particles. The basic formalism that allows the determination of the number of expected long-lived particles is presented. Heavy neutral leptons can be a type of long-lived particles. The main observational motivations for the existence of heavy neutral lepton is covered as well. A summary of the main results from both collider searches and fixed target/beam dump experiments is presented. The outlook for next generation experiments and their impact on the parameter space of coupling strength and mass of heavy neutral leptons is also discussed.

Frequent Itemset Mining and Association Rules

2010 ◽  
pp. 343-353
Author(s):  
Susan Imberman ◽  
Abdullah Uz Uz Tansel
Keyword(s):  
Credit Card ◽  
Scientific Data ◽  
Large Datasets ◽  
Medical Data ◽  
Frequent Itemset ◽  
Knowledge Discovery In Databases ◽  
Mass Storage ◽  
Point Of Sale ◽  
Storage Devices ◽  
Itemset Mining

With the advent of mass storage devices, databases have become larger and larger. Point-of-sale data, patient medical data, scientific data, and credit card transactions are just a few sources of the ever-increasing amounts of data. These large datasets provide a rich source of useful information. Knowledge Discovery in Databases (KDD) is a paradigm for the analysis of these large datasets. KDD uses various methods from such diverse fields as machine learning, artificial intelligence, pattern recognition, database management and design, statistics, expert systems, and data visualization.

Mastering Web Mining and Information Retrieval in the Digital Age

2017 ◽  
pp. 1-28 ◽  
Author(s):  
Kijpokin Kasemsap
Keyword(s):  
Information Retrieval ◽  
Organizational Performance ◽  
User Interfaces ◽  
Web Mining ◽  
Digital Age ◽  
Mass Storage ◽  
Web Data ◽  
Time Saving ◽  
Storage Devices ◽  
Collaborative Information Retrieval

This chapter aims to master web mining and Information Retrieval (IR) in the digital age, thus describing the overviews of web mining and web usage mining; the significance of web mining in the digital age; the overview of IR; the concept of Collaborative Information Retrieval (CIR); the evaluation of IR systems; and the significance of IR in the digital age. Web mining can contribute to the increase in profits by selling more products and by minimizing costs. Web mining is the application of data mining techniques to discover the interesting patterns from web data in order to better serve the needs of web-based multifaceted applications. Mining web data can improve the personalization, create the selling opportunities, and lead to more profitable relationships with customers in global business. Web mining techniques can be applied with the effective analysis of the clearly understood business needs and requirements. Web mining builds the detailed customer profiles based on the transactional data. Web mining is used to create the personalized search engines which can recognize the individuals' search queries by analyzing and profiling the web user's search behavior. IR is the process of obtaining relevant information from a collection of informational resources. IR has considerably changed with the expansion of the Internet and the advent of modern and inexpensive graphical user interfaces and mass storage devices. The effective IR system, including an active indexing system, not only decreases the chances that information will be misfiled but also expedites the retrieval of information. Regarding IR utilization, the resulting time-saving benefit increases office efficiency and productivity while decreasing stress and anxiety. Most IR systems provide the advanced searching capabilities that allow users to create the sophisticated queries. The chapter argues that applying web mining and IR has the potential to enhance organizational performance and reach strategic goals in the digital age.

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