Results 101 to 110 of about 1,519 (247)

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Tool Wear State Identification Based on the IWOA-VMD Feature Selection Method

Machines
Complex, thin-walled components are the most important load-bearing structures in aircraft equipment. Monitoring the wear status of milling cutters is critical for enhancing the precision and efficiency of thin-walled item machining.
Xing Shui, Zhijun Rong, Binbin Dan, Qiangjian He, Xin Yang   +4 more
doaj   +1 more source

Refined scale-dependent permutation entropy to analyze systems complexity

, 2016
Multiscale entropy (MSE) has become a prevailing method to quantify the complexity of systems. Unfortunately, MSE has a temporal complexity in O(N2)O(N2), which is unrealistic for long time series.
A. Humeau-Heurtier, C.W. Wu, Wu, Shuen-De, Wu, Chiu-Wen, S.D. Wu, Humeau-Heurtier, Anne   +5 more
core   +1 more source

Fabrication of Composite Cathode for All‐Solid‐State Sodium Batteries

Advanced Energy Materials, EarlyView.
The design of composite cathodes for all‐solid‐state sodium batteries must address three critical challenges—interfacial side reactions, interfacial delamination, and highly tortuous transport pathways. This work outlines structural and interfacial strategies to optimize ion transport and mechanical stability, enabling durable, and high‐performance ...
Gaoming Sun, Yuan Ma, Hehe Zhang, Shengan Wu, Shiyong Chu, Stefano Passerini, Yanjiao Ma   +6 more
wiley   +1 more source

A Comprehensive Assessment of EEG Entropy Measures for Bipolar Disorder Diagnosis Using Machine Learning

IEEE Access
Bipolar disorder (BD) is a common psychiatric condition with varying severity, characterized by alternating episodes of mania or hypomania and depression, making accurate and timely diagnosis challenging.
Hamed Bagheri, Seyed Rabi Mahdavi, Nazila Eyvazzadeh, Ali Neshaseh-Riz, Masoumeh Sajadi Rad, Shahryar Sadeghi, Reza Gerami, Mohammadreza Azimi Aval   +7 more
doaj   +1 more source

Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks. [PDF]

Entropy (Basel), 2020
Li H, Huang J, Yang X, Luo J, Zhang L, Pang Y.   +5 more
europepmc   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

Advanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu, Yufei Zhang, Han Zhao, Pooi See Lee, Daniel H.C. Chua   +4 more
wiley   +1 more source

Use of Multiscale Permutation Entropy Feature Selection and Supervised Classifiers for Bearing Failures Diagnosis

, 2021
Entropy measurements are an accessible tool to perform irregularity and uncertainty measurements present in time series. In signal processing, the Multiscale Permutation Entropy is recently presented as a methodology of characterization capable of ...
Mejía Hernández, J.C., Echeverry, Julian David, Quintero Riaza, Héctor Fabio   +2 more
core  

Multiscale Perspectives on Perovskite Instability: From Atomistic Deformation to Device Degradation in Perovskite Solar Cells

Advanced Energy Materials, EarlyView.
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee, Donghyeon Lee, Seoyoon Lee, Jin‐Wook Lee, Mansoo Choi, Min‐cheol Kim, Namyoung Ahn   +6 more
wiley   +1 more source