High-Field Giant Magnetoresistance in Co-Cu Superlattices

ABSTRACTWe present evidence for a new type of giant magnetoresistance in (111) cobalt-copper superlattices with atomically smooth interfaces. We propose that the lowered dimensionality of the structure leads to an enhancement of the scattering of conduction electrons from paramagnetic interfaces obeying a Langevin-like saturation at very high fields, well beyond the switching field of the Co layers. The findings help to explain similarities in magnetotransport behavior with recently reported granular systems as well as differences with antiferromagnetically coupled Multilayers.

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MAGNETO-OPTICAL ROTATION IN VERY HIGH FIELDS

Canadian Journal of Physics ◽

10.1139/p60-101 ◽

1960 ◽

Vol 38 (7) ◽

pp. 941-944 ◽

Cited By ~ 2

Author(s):

Richard Stevenson

Keyword(s):

Magnetic Field ◽

High Field ◽

Optical Rotation ◽

Field Limit ◽

Electron Theory ◽

Important Data ◽

Kerr Rotation ◽

High Fields ◽

The Magnetic Field ◽

Very High

Magneto-optical rotation by transmission through or reflection from solids is examined by the classical free electron theory, with the view of taking such a measurement using fields in the megagauss range. In general the rotation is a markedly non-linear function of the magnetic field, and in some cases can change in sign as the field increases. For very low fields the rotation varies directly with B, but in the high field limit the rotation varies inversely with the field. For substances in which the intercollision time of the electron is small, measurements of the Kerr rotation (i.e. by reflection) will give the electron mobility as a function of the magnetic field, and thus will give important data which can be used in conjunction with high field magnetoresistance experiments.

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Magnetic Properties of Superconducting GdBa2Cu3O6+δat Low Temperature and High Field

MRS Proceedings ◽

10.1557/proc-99-981 ◽

1987 ◽

Vol 99 ◽

Author(s):

C. Y. Huang ◽

Y. Shapira ◽

P. H. Hor ◽

R. L. Meng ◽

C. W. Chu

Keyword(s):

Magnetic Field ◽

Phase Transition ◽

Magnetic Properties ◽

Low Temperature ◽

Temperature Dependence ◽

High Field ◽

Spin Subsystem ◽

High Fields ◽

Very High ◽

Canted Phase

ABSTRACTThe magnetization of antiferromagnetic superconducting GdBa2Cu3O6+δ has been measured for ∼1.5 < T ≤4.2 K for magnetic fields up to ∼20 T. We found that all Gd3+ spins are nearly parallel at very high fields, and that this saturated spin subsystem coexists with superconductivity. Below the Neel temperature, 2.22 K, we observed the transition from the “canted” phase to the paramagnetic phase by the application of a high magnetic field. The temperature dependence of this phase transition is also reported.

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New-type phase-locked loop using travelling-wave laser-diode optical amplifier for very high-speed optical transmission

Electronics Letters ◽

10.1049/el:19880992 ◽

1988 ◽

Vol 24 (23) ◽

pp. 1452 ◽

Cited By ~ 17

Author(s):

S. Kawanishi ◽

M. Saruwatari

Keyword(s):

Laser Diode ◽

High Speed ◽

Optical Transmission ◽

Phase Locked Loop ◽

Optical Amplifier ◽

Travelling Wave ◽

Type Phase ◽

New Type ◽

Wave Laser ◽

Very High

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Sensitivity enhancement of a giant magnetoresistance alternating spin-valve sensor for high-field applications

Journal of Applied Physics ◽

10.1063/1.3676208 ◽

2012 ◽

Vol 111 (7) ◽

pp. 07E504 ◽

Cited By ~ 6

Author(s):

Seungha Yoon ◽

Youngman Jang ◽

Chunghee Nam ◽

Seungkyo Lee ◽

Joonhyun Kwon ◽

...

Keyword(s):

High Field ◽

Giant Magnetoresistance ◽

Spin Valve ◽

Sensitivity Enhancement

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A high critical current density MOCVD coated conductor with strong vortex pinning centers suitable for very high field use

Superconductor Science and Technology ◽

10.1088/0953-2048/22/5/055013 ◽

2009 ◽

Vol 22 (5) ◽

pp. 055013 ◽

Cited By ~ 30

Author(s):

Z Chen ◽

F Kametani ◽

Y Chen ◽

Y Xie ◽

V Selvamanickam ◽

...

Keyword(s):

Critical Current Density ◽

Critical Current ◽

Current Density ◽

High Field ◽

Vortex Pinning ◽

Coated Conductor ◽

High Critical Current Density ◽

Pinning Centers ◽

Strong Vortex ◽

Very High

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ToU Pricing-Based Dynamic Electricity Theft Detection in Smart Grid Using Gradient Boosting Classifier

Applied Sciences ◽

10.3390/app11010401 ◽

2021 ◽

Vol 11 (1) ◽

pp. 401

Author(s):

Rajiv Punmiya ◽

Sangho Choe

Keyword(s):

Smart Grid ◽

Dynamic Pricing ◽

Gradient Boosting ◽

Core Concept ◽

Actual Usage ◽

Electricity Theft ◽

Extreme Gradient Boosting ◽

New Type ◽

Near Future ◽

Very High

In the near future, it is highly expected that smart grid (SG) utilities will replace existing fixed pricing with dynamic pricing, such as time-of-use real-time tariff (ToU). In ToU, the price of electricity varies throughout the whole day based on the respective utilities’ decisions. We classify the whole day into two periods with very high and low probabilities of theft activities, termed as the “theft window” and “non-theft window”, respectively. A “smart” malicious consumer can adjust his/her theft to mostly targeting the theft window, manipulate actual usage reporting to outsmart existing theft detectors, and achieve the goal of “paying reduced tariff”. Simulation results show that existing schemes do not detect well such window-based theft activities conversely exploiting ToU strategies. In this paper, we begin by introducing the core concept of window-based theft cases, which is defined at the basis of ToU pricing as well as consumption usage. A modified extreme gradient boosting (XGBoost) based machine learning (ML) technique called dynamic electricity theft detector (DETD) has been presented to detect a new type of theft cases.

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1H and13C NMR study of the neomenthyl halides: A very high field proton shift in the iodide

Magnetic Resonance in Chemistry ◽

10.1002/mrc.1260280719 ◽

1990 ◽

Vol 28 (7) ◽

pp. 659-660 ◽

Cited By ~ 1

Author(s):

Gordon L. Lange ◽

Christine Gottardo

Keyword(s):

High Field ◽

1H And13c Nmr ◽

Proton Shift ◽

Nmr Study ◽

Very High

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The Limits of Learning: Exploration, Generalization, and the Development of Learning Traps

10.31234/osf.io/ykts2 ◽

2018 ◽

Author(s):

Alexander Rich ◽

Todd Matthew Gureckis

Keyword(s):

Decision Making ◽

Computer Simulation ◽

Adaptive Behavior ◽

False Belief ◽

Complex Environments ◽

Extensive Experience ◽

Present Evidence ◽

Fundamental Limit ◽

New Type ◽

Series Of Experiments

Learning usually improves the accuracy of beliefs through the accumulation of experience. But are there limits to learning that prevent us from accurately understanding our world? In this paper we investigate the concept of a “learning trap”—the formation of a stable false belief even with extensive experience. Our review highlights how these traps develop though the interaction of learning and decision making in unknown environments. We further document a particularly pernicious learning trap driven by selective attention, a mechanism often assumed to facilitate learning in complex environments. Using computer simulation we demonstrate the key attributes of the agent and environment that lead to this new type of learning trap. Then, in a series of experiments we present evidence that people robustly fall into this trap, even in the presence of various interventions predicted to meliorate it. These results highlight a fundamental limit to learning and adaptive behavior that impacts individuals, organizations, animals, and machines.

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