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Angle of Twist: Problem Solving01:13

Angle of Twist: Problem Solving

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An electric motor applies a torque of 700 N·m to an aluminum shaft, triggering a stable rotation. Two pulleys, B and C, are subjected to torques of 300 N·m and 400 N·m, respectively. The modulus of rigidity is provided as 25 GPa. With the knowledge of the length and diameter of each segment, the twist angle between the two pulleys can be computed. First, a section cut is made between pulleys B and C, and the cut cross-section is analyzed using a free-body diagram. Given that the...
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Net Torque Calculations01:19

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When a mechanic tries to remove a hex nut with a wrench, it is easier if the force is applied at the farthest end of the wrench handle. The lever arm is the distance from the pivot point (the hex nut in this case) to the person’s hand. If this distance is large, the torque is higher. Only the component of the force perpendicular to the lever arm contributes to the torque. Therefore, pushing the wrench perpendicular to the lever arm is more advantageous. If multiple people apply force to...
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Torque On A Current Loop In A Magnetic Field01:13

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The most common application of magnetic force on current-carrying wires is in electric motors. These consist of loops of wire, which are placed between the magnets with a magnetic field. When current flows through the loops, the magnetic field applies torque, which causes the shaft to rotate, thus converting electrical energy to mechanical energy.
Consider a rectangular current-carrying loop containing N turns of wire, placed in a uniform magnetic field. The net force on a current-carrying loop...
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Ferromagnetism01:31

Ferromagnetism

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Materials like iron, nickel, and cobalt consist of magnetic domains, within which the magnetic dipoles are arranged parallel to each other. The magnetic dipoles are rigidly aligned in the same direction within a domain by quantum mechanical coupling among the atoms. This coupling is so strong that even thermal agitation at room temperature cannot break it. The result is that each domain has a net dipole moment. However, some materials have weaker coupling, and are ferromagnetic at lower...
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Torque01:10

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Torque is an important quantity for describing the dynamics of a rotating rigid body. We see the application of torque in many ways in the world, such as when pressing the accelerator in a car, which causes the engine to apply additional torque on the drivetrain. Here, we define torque and provide a framework to create an equation to calculate torque for a rigid body with fixed-axis rotation.
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Circular Shafts - Elastoplastic Materials01:24

Circular Shafts - Elastoplastic Materials

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The study of solid circular shafts under stress shows that within the elastic limit, stress increases directly to the distance from the shaft's center. This relationship holds until the shaft reaches a critical point of stress, beyond which it begins to yield, marking the transition from elastic to plastic deformation. At this crucial juncture, the maximum torque the shaft can endure without permanent deformation is determined, signifying the limit of its elastic behavior.
As torque on the...
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Related Experiment Video

Updated: Sep 9, 2025

Magnetic Tweezers for the Measurement of Twist and Torque
11:41

Magnetic Tweezers for the Measurement of Twist and Torque

Published on: May 19, 2014

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Néel Tensor Torque in Polycrystalline Antiferromagnets.

Chao-Yao Yang1,2,3, Sheng-Huai Chen1, Chih-Hsiang Tseng1

  • 1Department of Materials Science and Engineering, National Tsing Hua University, Hsinchu, 300044, Taiwan.

Advanced Materials (Deerfield Beach, Fla.)
|August 29, 2025
PubMed
Summary

Researchers developed a Néel tensor to control polycrystalline antiferromagnets (AFMs) for spintronics. This new method enables field-free spin-orbit torque switching and memory retention in AFM spintronic devices.

Keywords:
field‐free switchingneel tensor torquephysically unclonable functionalityspin‐orbit torque

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Area of Science:

  • Spintronics
  • Materials Science
  • Machine Learning

Background:

  • Antiferromagnets (AFMs) are promising for spintronics due to fast dynamics and stability.
  • Electrical control of polycrystalline AFMs is challenging due to their complex spin structures.
  • Conventional methods rely on the Néel vector, which is insufficient for polycrystalline AFMs.

Purpose of the Study:

  • To introduce a new statistical descriptor, the Néel tensor, for polycrystalline AFMs.
  • To enable field-free spin-orbit torque (SOT) switching in heavy-metal/FM/AFM trilayers.
  • To demonstrate the trainability and memory capabilities of the Néel tensor in AFM spintronics.

Main Methods:

  • Introduction of the Néel tensor, a rank-two symmetric tensor, to statistically describe spin correlations in polycrystalline AFMs.
  • Application of machine learning techniques to extract hidden statistical patterns in AFM spin structures.
  • Experimental demonstration of Néel tensor torque for field-free SOT switching.

Main Results:

  • The Néel tensor effectively captures spin correlations in polycrystalline AFMs, overcoming limitations of the Néel vector.
  • An emergent Néel tensor torque mechanism at the FM/AFM interface enables field-free SOT switching.
  • Experimental evidence shows the Néel tensor can be trained and memorized, enabling polarity retention in AFM spintronics.

Conclusions:

  • The Néel tensor provides a new degree of freedom for controlling polycrystalline AFMs.
  • This work bridges the gap between theoretical models and practical applications of AFMs in spintronics.
  • Findings pave the way for non-volatile, reconfigurable spintronic memory and neuromorphic computing.