Results 81 to 90 of about 2,735,759 (291)

Electron-photon interaction in quantum dots : spin and entanglement [PDF]

open access: yes, 2005
The interaction of electrons and photons lies at the heart of quantum physics. The most notable phenomena which are described by quantum physics but which obviously invalidate a classical description of the electromagnetic field - the photoelectric ...
Gywat, Oliver
core   +1 more source

Quantum spin-torque-driven nonclassical magnetization dynamics and dynamical buildup of long-range entanglement

open access: yes, 2021
Nikolić, Branislav K.The discovery of conventional spin transfer torque (STT) by Slonczewski and Berger in the 1990s ushered in a new era in spintronics technology, with a wide range of applications including microwave oscillators, microwave detectors ...
Mondal, Priyanka
core   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

open access: yesAdvanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh   +2 more
wiley   +1 more source

Research Update: Spin transfer torques in permalloy on monolayer MoS2

open access: yesAPL Materials, 2016
We observe current induced spin transfer torque resonance in permalloy (Py) grown on monolayer MoS2. By passing rf current through the Py/MoS2 bilayer, field-like and damping-like torques are induced which excite the ferromagnetic resonance of Py.
Wei Zhang   +11 more
doaj   +1 more source

Influence of interlayer coupling on the spin-torque-driven excitations in a spin-torque oscillator

open access: yes, 2017
International audienceThe influence of dynamic interlayer interactions on the spin-torque-driven and damped excitations areillustrated for a three layermacrospin model system that corresponds to a standard spin-torque oscillator.
E. Monteblanco   +17 more
core   +1 more source

Synchronization Phenomena in Spin Torque and Spin Hall Nano-Oscillators [PDF]

open access: yes, 2017
Spin-torque oscillators (STOs) belong to a novel class of spintronic devices and exhibit a broad operating frequency and high modulation rates. STOs take advantage of several physical phenomena such as giant magnetoresistance (GMR), spin Hal effect (SHE),
Houshang, Afshin
core   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

open access: yesAdvanced Materials, EarlyView.
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger   +14 more
wiley   +1 more source

Switching performance comparison between conventional SOT and STT-SOT write schemes with effect of shape deformation

open access: yesAIP Advances, 2021
We demonstrate the effect of shape deformation in spin–orbit torque magnetoresistive random access memory (SOT-MRAM) based on micromagnetic simulation by generating 1000 randomly deformed samples using the exponentially decaying autocorrelation function.
J. Byun, D. H. Kang, M. Shin
doaj   +1 more source

Coherent state transfer between an electron and nuclear spin in (15)N@C(60). [PDF]

open access: yes, 2011
Electron spin qubits in molecular systems offer high reproducibility and the ability to self-assemble into larger architectures. However, interactions between neighboring qubits are "always on," and although the electron spin coherence times can be ...
G. Andrew D. Briggs   +29 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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