Results 61 to 70 of about 2,009,604 (294)

Applicability of Bispectral Analysis to Causality Determination within and between Ensembles of Unstable Plasma Waves

open access: yesAtoms
Turbulence implies nonlinear wave–wave coupling, and determining cause and effect of either is important to understand mixing responsible for enhanced number, momentum, or energy (NME) transport. To explain the identification of parent and daughter modes
Renaud Stauber, Mark Koepke
doaj   +1 more source

Automatic Electron Density Determination by Using a Convolutional Neural Network

open access: yesIEEE Access, 2019
In this study, we developed a technique for automatically determining upper hybrid resonance (UHR) frequencies using a convolutional neural network (CNN) to derive the electron density along the orbit of the Arase satellite.
Tatsuhito Hasegawa   +8 more
doaj   +1 more source

Omnipolar Magnetic Field Detection by Superlattice‐Based Hall Sensor

open access: yesAdvanced Functional Materials, EarlyView.
Magnetic‐field‐induced electronic switching is demonstrated in unit‐cell‐engineered La0.7Sr0.3MnO3–BiFeO3 superlattices. Distinct substrate terminations modify magnetic and transport properties. Hall resistance measurements show omnipolar, hysteretic anomalous Hall switching above the Curie temperature, arising from Fe─Mn interfacial exchange, enabling
Mark Huijben   +6 more
wiley   +1 more source

Plasma Wave and Particle Dynamics During Interchange Events in the Jovian Magnetosphere Using Juno Observations

open access: yesGeophysical Research Letters, 2023
Interchange instability is known to drive fast radial transport of particles in Jupiter's inner magnetosphere. Magnetic flux tubes associated with the interchange instability often coincide with changes in particle distributions and plasma waves, but ...
A. Daly   +12 more
doaj   +1 more source

Ion-acoustic surface waves on a dielectric-dusty plasma interface

open access: yes, 1998
The theory of ion-acoustic surface wave propagation on the interface between a dusty plasma and a dielectric is presented. Both the constant and variable dust-charge cases are considered.
Ostrikov, K., Yu, M.Y.
core   +1 more source

A parametric study of the numerical simulations of triggered VLF emissions [PDF]

open access: yes, 2005
This work is concerned with the numerical modelling of VLF emissions triggered in the equatorial region of the Earth’s magnetosphere, using a well established 1D Vlasov Hybrid Simulation (VHS) code.
Rycroft, M.   +8 more
core   +2 more sources

Electrode and Microstructure Dependence of Oxygen Diffusion in Ferroelectric Hafnium Zirconium Oxide Thin Films

open access: yesAdvanced Functional Materials, EarlyView.
Significant nanoscale oxygen diffusion coefficient variations are measured in ferroelectric hafnium zirconium oxide films with grain boundaries and electrode interfaces exhibiting values 104 times larger than the grain cores. Overall coefficients are 10X larger for films prepared with metal nitride electrodes compared to refractory metals. New insights
Liron Shvilberg   +6 more
wiley   +1 more source

Relativistic-electron dropouts and recovery: A superposed epoch study of the magnetosphere and the solar wind [PDF]

open access: yes, 2009
During 124 high-speed-stream-driven storms from two solar cycles, a multispacecraft average of the 1.1–1.5 MeV electron flux measured at geosynchronous orbit is examined to study global dropouts of the flux. Solar wind and magnetospheric measurements are
Denton, Michael H., Borovsky, J. E.
core   +4 more sources

Nonlinear magnetoacoustic waves in a cold plasma [PDF]

open access: yes, 2007
The equations describing planar magnetoacoustic waves of permanent form in a cold plasma are rewritten so as to highlight the presence of a naturally small parameter equal to the ratio of the electron and ion masses.
Allen, M. A., Rowlands, G. (George)
core   +1 more source

Implantable Ionic Memristors Based on Natural Polymer Heterojunctions

open access: yesAdvanced Functional Materials, EarlyView.
We report an implantable natural polymer‐based ionic memristor composed of hyaluronic acid, chitosan, and PDMS. The device achieved 98.94% accuracy in MNIST classification while reducing training time by 36.8% compared with a conventional artificial neural network (ANN).
Dong‐yup Lee   +6 more
wiley   +1 more source

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