Spin Torque and Force due to Current for General Spin Textures(Condensed matter: electronic structure and electrical, magnetic, and optical properties)
By Gen Tatara, Hiroshi Kohno, J. Shibata, Y. Lemaho, Kyung-Jin Lee. 2006
337 citations recorded by the source corpus.
The nonadiabatic correction to spin transfer torque arising from fast-varying spin texture is calculated treating the conductions electron fully quantum mechanically. The torque is nonlocal in space, and is shown to be equivalent to a force (due to momentum transfer) acting on the center of mass of the texture. Another kind of force exists in the adiabatic regime, and it is identified to be of topological origin. These forces are shown to be the counter-reactions of electric transport properties, resistivity and the Hall effect.
Subfields: Atomic and Molecular Physics, and Optics, Physical and Theoretical Chemistry
View Paper: https://www.semanticscholar.org/paper/29f9e1a2f23d56f50476d7e1981c8dab474a3567
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In Atomic and Molecular Physics, and Optics
- J. Shibata
- H. Kohno
- G. Tatara
- J. Urgen Schmidhuber
- Giulio Sandini
- Giorgio Metta
- Marcus Hutter
- Shane Legg
In Physical and Theoretical Chemistry
Citations in the corpus
- The iCub humanoid robot: an open platform for research in embodied cognition (2008, methodology): “More development is in progress to interface tactile and force/torque sensors as discussed in [ 8 ].”
- Artificial neural networks for spatial perception: Towards visual object localisation in humanoid robots (2013, methodology): “Our research platform is the iCub humanoid robot [4], an open robotic system, providing a 41 degree-of-freedom (DOF) upper-body, comprising two arms, a head and a torso.”
- Robot Cognitive Control with a Neurophysiologically Inspired Reinforcement Learning Model (2011, methodology): “Frontiers in Neurorobotics www.frontiersin.org July 2011 | Volume 5 | Article 1 | 3 performed with the iCub, a humanoid robot developed as part of the RobotCub project (Tsagarakis et al., 2007).”
- Neural learning of stable dynamical systems based on data-driven Lyapunov candidates (2013, methodology): “, used a neural network approach to generate movements for the humanoid robot iCub [9].”
- Microscopic approach to current-driven domain wall dynamics (2008, background): “(136), of [48,47,112,50] F β = ~ 2eS μβsrPj, (247) where μ ≡ ∫ d(3)x (∇zn)(2).”
- Seamless Integration and Coordination of Cognitive Skills in Humanoid Robots: A Deep Learning Approach (2017, background): “iCub [44] is a child-like humanoid robot consisting of”
- Learning and Reproduction of Gestures by Imitation (2010, methodology): “The iCub robot is used in the experiment [27].”