Results 51 to 60 of about 391,421 (293)

Proximity‐Tuned Magnetic and Transport Anomalies in All‐Epitaxial Fe5−xGeTe2/WSe2 Van der Waals Heterostructures

open access: yesAdvanced Functional Materials, EarlyView.
All‐epitaxial and scalable ferromagnetic/non‐magnetic Fe5−xGeTe2/WSe2 van der Waals (vdW) heterostructures exhibiting room‐temperature magnetism and perpendicular magnetic anisotropy (PMA) are realized. The system displays proximity‐tuned magnetic anisotropy, thickness‐dependent unconventional Hall effects, and temperature‐dependent sign reversal of ...
Hua Lv   +15 more
wiley   +1 more source

NOVEL TECHNIQUES FOR TORQUE RIPPLE MODELING AND MINIMIZATION IN PERMANENT MAGNET MACHINES [PDF]

open access: yes, 2017
This thesis investigates torque ripple modeling and minimization techniques for permanent magnet (PM) machines to achieve high-performance and reliable machine drive for practical industrial and consumer applications.
Lai, Chunyan
core   +1 more source

Development of enhanced direct torque control for surface‐mounted permanent magnet synchronous motor drive operation

open access: yesIET Power Electronics, 2023
Direct torque control (DTC) is one of the most prominent control techniques used by permanent magnet synchronous motor (PMSM) drives in industry applications.
Ravi Eswar Kodumur Meesala   +3 more
doaj   +1 more source

Virtual Subspace-Based DTC Strategy for Torque Ripple Minimization in Six-Phase Induction Motors

open access: yesIEEE Access, 2021
Classical switching-table-based direct torque control (ST-DTC) of six-phase induction machine (6PIM) drives is seriously penalized by current harmonics as well as torque ripples because of uncontrolled voltage vectors in the low-impedance non-energy ...
Mohammad Hosein Holakooie   +1 more
doaj   +1 more source

Torque Ripple Minimization and Performance Investigation of an In-Wheel Permanent Magnet Motor [PDF]

open access: yes, 2016
Recently, electric vehicle motoring has become a topic of interest, due to the several problems caused by thermal engines such as pollution and high oil prices. Thus, electric motors are increasingly applied in vehicle’ applications and relevant research
Mansouri, A., Hafedh, T.
core   +1 more source

Modulation of Surface‐Associated Transport in (Bi1‐xSbx)2Te3 via Battery‐ Inspired Solid‐State Iontronic Gating

open access: yesAdvanced Functional Materials, EarlyView.
Iontronic gating in a battery‐inspired device modulates the relative weight of surface‐associated and bulk‐like transport fingerprints in (Bi1‐xSbx)2Te3, resulting in phenomenological valve‐like transport behavior. The strongest WAL‐associated coherent transport signatures emerge near the transport‐defined carrier compensation regime at ultra‐low gate ...
Gabriel Vinicius de Oliveira Silva   +5 more
wiley   +1 more source

Dual Flattening of Radial Force and Torque Waveforms in Switched Reluctance Motors

open access: yesIEEE Open Journal of Industry Applications
This article presents a novel current-waveform shaping method for simultaneously eliminating radial-force fluctuation and torque ripple in switched reluctance motors.
Fares S. El-Faouri   +6 more
doaj   +1 more source

Minimization of Torque Ripple in the Brushless DC Motor Using Constrained Cuckoo Search Algorithm

open access: yes, 2021
This paper presents the application of the cuckoo search (CS) algorithm in attempts to the minimization of the commutation torque ripple in the brushless DC motor (BLDC). The optimization algorithm was created based on the cuckoo’s reproductive behavior.
Sebastian Kuroczycki   +2 more
core   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

open access: yesAdvanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam   +6 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
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

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