Latest Articles for Electrical Engineering

Research aims to improve electrical steel performance and reduce brittleness.

Study reveals unique magnetic characteristics in relaxor-ferroelectric Pb(Fe Nb)O material.

Research reveals how specific points affect electricity flow in quantum materials.

This article discusses the complexities of choosing sensors and actuators in systems.

Research on charged vacancies in ferroelectrics opens new avenues for technology advancement.

New techniques improve medical imaging using Electrical Impedance Tomography.

Inertia is key for stabilizing the power grid with increasing renewables.

Machine learning techniques enhance current density reconstruction from magnetic fields.

An overview of superconductors and their significance in technology.

Study reveals how curved graphite responds to magnetic fields.

Examining the effects of quantum coherence on current fluctuations in open quantum systems.

New methods improve control of silicon spin qubits at low temperatures, enhancing quantum computing potential.

Using ANNs to improve power quality in electrical systems by predicting harmonics.

This study introduces a new method for positional encodings in directed graphs.

Research reveals promising properties of RTO nanocrystals for advanced memory devices.

Learn how EMODM detects abnormal patterns in complex systems effectively.

A look into the mechanisms influencing resistivity in materials.

New modeling reveals how defects and doping affect grain growth in oxide ceramics.

Study reveals unique electrical behaviors at step edges of NiS2.

This article examines how flow impacts the properties of carbon black-filled silicone materials.

Exploring how strain influences spin qubit performance in quantum computing.

Research on 1T-RhSeTe reveals its potential in superconductivity and electronic properties.

Quasiparticles disrupt superconducting circuits, impacting quantum computing performance.

Learn how microgrids and BTB converters enhance energy resilience.

Discover how memristive technology can transform matrix inversion efficiency.

Research reveals new methods for controlling silicon-based qubits and addressing crosstalk challenges.

Research focuses on improving electrical contacts to enhance quantum computing.

Research reveals behavior of electrical and thermal properties in 2D topological materials.

Research highlights the effects of Higgs mode and impurities on superconductors.

A novel silicon-aluminum capacitor could enhance superconducting circuit performance.

A new method combines traditional techniques with machine learning for better power flow optimization.

New research shows carbon nanoscrolls can greatly enhance electrical conductance under magnetic influence.

Research reveals how LAFO properties affect SHNO performance and efficiency.

Y-Flash cells and Tsetlin Machine enhance machine learning efficiency.

Exploring how neuromorphic computing mimics human brain functions.

This study investigates entanglement-like behavior in electrical circuits under varying conditions.

Research on PF2 ions aims to enhance phosphorus accuracy in quantum computers.

Research on BaFe(As,P) enhances understanding of superconducting behavior and properties.

A fresh approach to understanding charge dynamics in batteries and electronics.

New method streamlines analysis of particle movement in quantum systems.