Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
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 +3 more
wiley +1 more source
Comparative performance of hybrid model based on discrete wavelet transform and ARIMA models in prediction incidence of COVID-19. [PDF]
Holakouie-Naieni K +4 more
europepmc +1 more source
Hybrid Adaptive Lossless Image Compression Based on Discrete Wavelet Transform. [PDF]
Starosolski R.
europepmc +1 more source
Wearable‐derived diurnal alignment between physical activity and device temperature, decomposed into 24 h coupling strength (M24), phase deviation (D24), and 12 h harmonic magnitude (M12), is examined in approximately 90,000 UK Biobank participants.
Han Chen +6 more
wiley +1 more source
Discrete Wavelet Transform based ECG classification using gcForest: A deep ensemble method. [PDF]
Lin M, Hong Y, Hong S, Zhang S.
europepmc +1 more source
EEG Signal Analysis for Diagnosing Neurological Disorders Using Discrete Wavelet Transform and Intelligent Techniques. [PDF]
Alturki FA +3 more
europepmc +1 more source
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
Identification of broken conductor faults in interconnected transmission systems based on discrete wavelet transform. [PDF]
Rashad BA +4 more
europepmc +1 more source
Use of Discrete Wavelet Transform to Assess Impedance Fluctuations Obtained from Cellular Micromotion. [PDF]
Tung TH +4 more
europepmc +1 more source
Super‐Resolution and High‐Data‐Density Acoustic Meta‐Hologram via Amplitude and Phase Coupling
A super‐resolution acoustic meta‐hologram utilizes amplitude‐phase coupling under energy conservation constraints to overcome the traditional diffraction limit. This conceptually advanced approach achieves high‐fidelity acoustic field reconstruction and dense information transmission, unlocking new potentials for high‐resolution acoustic imaging and ...
Xiao Guo +15 more
wiley +1 more source

