RME estimates end-effector mass and center-of-mass mismatches online in about 400 ms using proprioceptive feedback and a neural-network-guided variational inference.
Generalized magnetoelectronic circuit theory and spin relaxation at interfaces in magnetic multilayers
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abstract
Spin transport at metallic interfaces is an essential ingredient of various spintronic device concepts, such as giant magnetoresistance, spin-transfer torque, and spin pumping. Spin-orbit coupling plays an important role in many such devices. In particular, spin current is partially absorbed at the interface due to spin-orbit coupling. We develop a general magnetoelectronic circuit theory and generalize the concept of the spin mixing conductance, accounting for various mechanisms responsible for spin-flip scattering. For the special case when exchange interactions dominate, we give a simple expression for the spin mixing conductance in terms of the contributions responsible for spin relaxation (i.e., spin memory loss), spin torque, and spin precession. The spin-memory loss parameter $\delta$ is related to spin-flip transmission and reflection probabilities. There is no straightforward relation between spin torque and spin memory loss. We calculate the spin-flip scattering rates for N|N, F|N, F|F interfaces using the Landauer-B\"uttiker method within the linear muffin-tin orbital method and determine the values of $\delta$ using circuit theory.
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Rapid Mismatch Estimation via Neural Network Informed Variational Inference
RME estimates end-effector mass and center-of-mass mismatches online in about 400 ms using proprioceptive feedback and a neural-network-guided variational inference.