ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Identification of the System Inertia under Periodic Load Torque Disturbance
In this paper, a strategy to identify the system inertia under periodic load torque disturbance is proposed. The effect of the periodic load torque on the inertia identification using integration is analyzed.
Joohyun Lee +3 more
core +1 more source
Assessment of torque components in brushless permanent-magnet machines through numerical analysis of the electromagnetic field [PDF]
For the calculation of torque in brushless (BL) alternating current motors a local method is proposed, based on the Maxwell stress theory and the filtered contributions due to the harmonics of the magnetic vector potential in the motor air gap.
Dellinger, S.J. +4 more
core +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Atomic‐Scale Detection of Néel Vector Switching in the Single‐Layer A‐Type Antiferromagnet Cr2S3‐2D
Interfacial electron donation from graphene redistributes charge within single‐layer Cr2S3‐2D, preferentially accumulating at the lower Cr/S plane. The resulting minute magnetic imbalance lifts the equivalence of the two magnetic sublayers, enabling atomic‐resolution identification and field‐induced control of Néel‐vector states in a two‐dimensional A ...
Affan Safeer +11 more
wiley +1 more source
A study of Tuned Mass Damper (TMD) Application for Mass Imbalance and Vibration Reduction in Gimbal Systems for High-speed Maneuverable Vehicles [PDF]
This study proposed a method for simultaneously reducing mass imbalance and vibration in gimbal systems utilizing a tuned mass damper (TMD) as a balancing weight. Finite element analysis (FEA) and experiments were used for testing the method.
Jun-Soo Kim +4 more
doaj +1 more source
Artificial Intelligence Meets Micro/Nanorobotics
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever +6 more
wiley +1 more source
Magnet Shape Optimization to Reduce Pulsating Torque for a Five-Phase Permanent-Magnet Low-Speed Machine [PDF]
The author would like to thank S. Djebarri from the Research Institute of Naval Academy for his help with computing the machines with FEA program FEMM and F.
SCUILLER, Franck
core +1 more source
The interfacial spin‐orbit interaction in single‐crystalline Fe1−xCox thin films grown on GaAs(001) can be continuously tuned via alloying. Using spin‐orbit ferromagnetic resonance, the authors find that the interfacial spin‐orbit fields exhibit a nonmonotonic dependence on Co concentration, with a minimum at 20% Co. ABSTRACT The discovery of intrinsic
Hongrui Lao +9 more
wiley +1 more source
Multiple Frequency Vibration Estimation in Controlled Electric Synchronous Motor Systems
Synchronous motors are widely used in applications demanding high efficiency, torque density, and precise velocity regulation, such as electrified transportation, industrial automation, and robotics.
Francisco Beltran-Carbajal +4 more
doaj +1 more source

