Results 291 to 300 of about 2,362,134 (317)

Employing Differential Voltage Current Conveyor in graph coloring applications

2010 International Conference on Power, Control and Embedded Systems, 2010
A non-linear feedback neural network for solving graph coloring problem is presented. The proposed circuit employs non-linear feedback, in the form of unipolar comparators realized using DVCCs and diodes, to introduce transcendental terms in the energy function ensuring fast convergence to the solution.
openaire   +2 more sources

A short-term voltage stability online prediction method based on graph convolutional networks and long short-term memory networks

, 2021
Guoteng Wang, Zheren Zhang, Z. Bian, Zheng Xu   +3 more
semanticscholar   +1 more source

Employing Graph Neural Networks for Predicting Electrode Average Voltages and Screening High-Voltage Sodium Cathode Materials

ACS Applied Materials & Interfaces
For many years, humans have been relentlessly focused on enhancing battery longevity and boosting energy storage capacities. The performance and durability of a battery depend significantly on the material used for its electrodes. In this context, merging machine learning with density functional theory (DFT) calculations has emerged as a pivotal ...
Xiaoyue He, Yanxu Chen, Shao Wang, Genqiang Zhang   +3 more
openaire   +2 more sources

An Advanced High‐Entropy Fluorophosphate Cathode for Sodium‐Ion Batteries with Increased Working Voltage and Energy Density

Advanced Materials, 2022
Xing-long Wu
exaly  

Building Practical High‐Voltage Cathode Materials for Lithium‐Ion Batteries

Advanced Materials, 2022
Lixia Yuan, Mohammad Sharifzadeh, Yunhui Huang   +2 more
exaly  

High-voltage liquid electrolytes for Li batteries: progress and perspectives

Chemical Society Reviews, 2021
Chunsheng Wang, Xiulin Fan
exaly  

High‐Voltage Zinc‐Ion Batteries: Design Strategies and Challenges

Advanced Functional Materials, 2021
Cheng Chao Li, Edison Huixiang Ang, Minghui Ye   +2 more
exaly  

Toward High Performance All‐Solid‐State Lithium Batteries with High‐Voltage Cathode Materials: Design Strategies for Solid Electrolytes, Cathode Interfaces, and Composite Electrodes

Advanced Energy Materials, 2021
Guohua Chen, Lei Zhang, Yuanfu Deng
exaly  

Wide Voltage Aqueous Asymmetric Supercapacitors: Advances, Strategies, and Challenges

Advanced Functional Materials, 2022
Jun Huang, Kai Yuan, Yiwang Chen
exaly  

A Voltage-Mode Nonlinear-Synapse Neural Circuit for Bi-partitioning of Graphs

2016
An NP-complete problem that finds applications in various fields in engineering and sciences is the graph partitioning problem. This paper presents a novel recurrent neural network, which makes use of nonlinearities in the feedback interconnections, for bipartitioning a given planar graph of n vertices (nodes). The scheme comprises of n neurons and n 2
openaire   +2 more sources