专题:Magnetic Properties and Applications

This cluster of papers focuses on the study of magnetostrictive properties, hysteresis modeling, and applications of magnetostrictive materials, particularly in Fe-Ga and Galfenol alloys. It also explores the impact of magnetostriction on core losses in electrical steels and transformer inrush currents. Additionally, it delves into the structural and magnetic behavior of these materials under various mechanical and thermal conditions.
最新文献
Effect of Ti Doping on the Grain Boundary Phases in Sintered Nd-Ce-Fe-B and Its Influence on the Diffusion Behavior of Heavy Rare Earth Dy

article Full Text OpenAlex

Multi-stage quasi-zero stiffness vibration isolation with linear-to-torsion magnetic negative stiffness mechanism for variable load

article Full Text OpenAlex

Modeling ballistic magnetization reversals via spin-orbit torques by reinforcement learning

article Full Text OpenAlex

Impurity Phases and Hydrogen Decrepitation of Sm2TM17 Sintered Magnet Production Scrap

article Full Text OpenAlex

Review of predictive capabilities of JRC-JCS model in engineering practice

book-chapter Full Text OpenAlex

Deformation Behavior and Tensile Properties of Layered Bis Austenitic Steel

article Full Text OpenAlex

Obtaining excellent mechanical and damping behaviors in a V-microalloyed high manganese steel via aging treatment

article Full Text OpenAlex

Optimal Design of a Coaxial Magnetic Gear Considering Thermal Demagnetization and Structural Robustness for Torque Density Enhancement

article Full Text OpenAlex

A data-driven self-terminating write circuit with enhanced reliability for STT-MRAM using MUX logic

article Full Text OpenAlex

Optimal Torque Sharing Function With Phase-Segmented Control for Switched Reluctance Motors

article Full Text OpenAlex

近5年高被引文献
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems

article Full Text OpenAlex 572 FWCI65.875

A MTPA and Flux-Weakening Curve Identification Method Based on Physics-Informed Network Without Calibration

article Full Text OpenAlex 288 FWCI13.5219

Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations

article Full Text OpenAlex 274 FWCI43.1547

Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems

article Full Text OpenAlex 262 FWCI30.25

A novel sequential method to train physics informed neural networks for Allen Cahn and Cahn Hilliard equations

article Full Text OpenAlex 226 FWCI26.1314

A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics

article Full Text OpenAlex 213 FWCI24.125

Physics-informed Neural Networks (PINN) for computational solid mechanics: Numerical frameworks and applications

article Full Text OpenAlex 191 FWCI55.0762

Can physics-informed neural networks beat the finite element method?

article Full Text OpenAlex 153 FWCI40.2482

Synchronous Reluctance Machines: A Comprehensive Review and Technology Comparison

review Full Text OpenAlex 147 FWCI13.2737

A physics-informed neural network approach to fatigue life prediction using small quantity of samples

article Full Text OpenAlex 133 FWCI15.387