40 V to 100 V NLDMOS built on thin BOX SOI with high energy capability, state of the art Rdson/BVdss and robust performance

2018 ◽  
Author(s):  
Yang Hao ◽  
Sim Poh Ching ◽  
Madelyn Liew ◽  
Alexander Hoelke ◽  
Uwe Eckoldt ◽  
...  
Keyword(s):  
State Of The Art ◽  
High Energy ◽  
Robust Performance

High-energy-density lithium-ion battery using a carbon-nanotube–Si composite anode and a compositionally graded Li[Ni0.85Co0.05Mn0.10]O2 cathode

2016 ◽  
Vol 9 (6) ◽  
pp. 2152-2158 ◽  
Author(s):  
Joo Hyeong Lee ◽  
Chong S. Yoon ◽  
Jang-Yeon Hwang ◽  
Sung-Jin Kim ◽  
Filippo Maglia ◽  
...  
Keyword(s):  
Carbon Nanotube ◽  
Energy Density ◽  
Lithium Ion Battery ◽  
State Of The Art ◽  
Lithium Ion ◽  
High Energy ◽  
High Energy Density ◽  
Rechargeable Battery ◽  
Composite Anode ◽  
Battery System

A Li-rechargeable battery system based on state-of-the-art cathode and anode technologies demonstrated high energy density, meeting demands for vehicle application.

scholarly journals Luminescent tracks of high-energy photoemitted electrons accelerated by plasmonic fields

Nanophotonics ◽  
2015 ◽  
Vol 4 (4) ◽  
pp. 511-519
Author(s):  
Marcel Di Vece ◽  
Giorgos Giannakoudakis ◽  
Astrid Bjørkøy ◽  
Wingjohn Tang
Keyword(s):  
Confocal Microscopy ◽  
State Of The Art ◽  
Field Enhancement ◽  
Optical Excitation ◽  
High Energy ◽  
Intense Laser ◽  
Electron Interaction ◽  
Intense Laser Pulse ◽  
Local Field Enhancement ◽  
Metal Nanostructure

AbstractThe emission of an electron from a metal nanostructure under illumination and its subsequent acceleration in a plasmonic field forms a platform to extend these phenomena to deposited nanoparticles, which can be studied by state-of-the-art confocal microscopy combined with femtosecond optical excitation. The emitted and accelerated electrons leave defect tracks in the immersion oil, which can be revealed by thermoluminescence. These photographic tracks are read out with the confocal microscope and have a maximum length of about 80 μm, which corresponds to a kinetic energy of about 100 keV. This energy is consistent with the energy provided by the intense laser pulse combined with plasmonic local field enhancement. The results are discussed within the context of the rescattering model by which electrons acquire more energy. The visualization of electron tracks originating from plasmonic field enhancement around a gold nanoparticle opens a new way to study with confocal microscopy both the plasmonic properties of metal nano objects as well as high energy electron interaction with matter.

State‐Of‐The‐Art and Future Challenges in High Energy Lithium–Selenium Batteries

2021 ◽  
pp. 2003845
Author(s):  
Jinmeng Sun ◽  
Zhuzhu Du ◽  
Yuhang Liu ◽  
Wei Ai ◽  
Ke Wang ◽  
...  
Keyword(s):  
State Of The Art ◽  
High Energy ◽  
Future Challenges

scholarly journals Commercial Thermal Technologies for Desalination of Water from Renewable Energies: A State of the Art Review

2021 ◽  
Author(s):  
Jhon Feria-Díaz ◽  
María Cristina López-Méndez ◽  
Luis Sandoval-Herazo ◽  
Felipe Correa-Mahecha ◽  
Juan Rodríguez-Miranda
Keyword(s):  
Brackish Water ◽  
State Of The Art ◽  
High Energy ◽  
Renewable Energies ◽  
Water Desalination ◽  
Vapor Compression ◽  
Energy Demands ◽  
Multi Stage ◽  
Starting Point ◽  
Thermal Desalination

Abstract: Thermal desalination is yet a reliable technology in the treatment of brackish water and seawater; however, its demanding high energy requirements have lagged it compared to other non-thermal technologies such as reverse osmosis. This review provides an outline of the development and trends of the three most commercially used thermal or phase change technologies worldwide: Multi Effect Distillation (MED), Multi Stage Flash (MSF), and Vapor Compression Distillation (VCD). First, state of water stress suffered by regions with little fresh water availability and existing desalination technologies that could become an alternative solution are shown. The most recent studies published for each commercial thermal technology are presented, focusing on optimizing the desalination process, improving efficiencies, and reducing energy demands. Then, an overview of the use of renewable energy and its potential for integration into both commercial and non-commercial desalination systems is shown. Finally, research trends and their orientation towards hybridization of technologies and use of renewable energies as a relevant alternative to the current problems of brackish water desalination are discussed. This reflective and updated review will help researchers to have a detailed state of the art of the subject and to have a starting point for their research, since current advances and trends on thermal desalination are shown.

scholarly journals Understanding and Improving Proximity Graph Based Maximum Inner Product Search

2020 ◽  
Vol 34 (01) ◽  
pp. 139-146
Author(s):  
Jie Liu ◽  
Xiao Yan ◽  
Xinyan Dai ◽  
Zhirong Li ◽  
James Cheng ◽  
...  
Keyword(s):  
State Of The Art ◽  
Small World ◽  
Inner Product ◽  
Robust Performance ◽  
Small Norm ◽  
Order Of Magnitude ◽  
Product Search ◽  
Proximity Graph ◽  
Product Proximity ◽  
Strong Norm

The inner-product navigable small world graph (ip-NSW) represents the state-of-the-art method for approximate maximum inner product search (MIPS) and it can achieve an order of magnitude speedup over the fastest baseline. However, to date it is still unclear where its exceptional performance comes from. In this paper, we show that there is a strong norm bias in the MIPS problem, which means that the large norm items are very likely to become the result of MIPS. Then we explain the good performance of ip-NSW as matching the norm bias of the MIPS problem — large norm items have big in-degrees in the ip-NSW proximity graph and a walk on the graph spends the majority of computation on these items, thus effectively avoids unnecessary computation on small norm items. Furthermore, we propose the ip-NSW+ algorithm, which improves ip-NSW by introducing an additional angular proximity graph. Search is first conducted on the angular graph to find the angular neighbors of a query and then the MIPS neighbors of these angular neighbors are used to initialize the candidate pool for search on the inner-product proximity graph. Experiment results show that ip-NSW+ consistently and significantly outperforms ip-NSW and provides more robust performance under different data distributions.

scholarly journals A Survey of Machine Learning-Based Physics Event Generation

2021 ◽  
Author(s):  
Yasir Alanazi ◽  
Nobuo Sato ◽  
Pawel Ambrozewicz ◽  
Astrid Hiller-Blin ◽  
Wally Melnitchouk ◽  
...  
Keyword(s):  
Machine Learning ◽  
Particle Physics ◽  
State Of The Art ◽  
Super Resolution ◽  
High Energy ◽  
Generative Models ◽  
The State ◽  
Open Questions ◽  
Event Generation ◽  
Building Physics

Event generators in high-energy nuclear and particle physics play an important role in facilitating studies of particle reactions. We survey the state of the art of machine learning (ML) efforts at building physics event generators. We review ML generative models used in ML-based event generators and their specific challenges, and discuss various approaches of incorporating physics into the ML model designs to overcome these challenges. Finally, we explore some open questions related to super-resolution, fidelity, and extrapolation for physics event generation based on ML technology.

scholarly journals Emerging polyanionic and organic compounds for high energy density, non-aqueous potassium-ion batteries

2020 ◽  
Vol 8 (32) ◽  
pp. 16061-16080 ◽  
Author(s):  
Mingzhe Chen ◽  
Qiannan Liu ◽  
Yanyan Zhang ◽  
Guichuan Xing ◽  
Shu-Lei Chou ◽  
...  
Keyword(s):  
Energy Density ◽  
Organic Compounds ◽  
State Of The Art ◽  
High Energy ◽  
Potassium Ion ◽  
The State ◽  
High Energy Density

This review focuses on the state-of-the-art development of emerging polyanionic and organic compounds to achieve high energy density of non-aqueous potassium-ion batteries.

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