Micromagnetic modelling-the current state of the art
The increasing information density in magnetic recording, the miniaturization in magnetic
sensor technology, the trend towards nanocrystalline magnetic materials and the improved …
sensor technology, the trend towards nanocrystalline magnetic materials and the improved …
[HTML][HTML] Studying rare events using forward-flux sampling: Recent breakthroughs and future outlook
S Hussain, A Haji-Akbari - The Journal of Chemical Physics, 2020 - pubs.aip.org
Rare events are processes that occur upon the emergence of unlikely fluctuations. Unlike
what their name suggests, rare events are fairly ubiquitous in nature, as the occurrence of …
what their name suggests, rare events are fairly ubiquitous in nature, as the occurrence of …
Magnetic tunnel junction based long-term short-term stochastic synapse for a spiking neural network with on-chip STDP learning
Abstract Spiking Neural Networks (SNNs) have emerged as a powerful neuromorphic
computing paradigm to carry out classification and recognition tasks. Nevertheless, the …
computing paradigm to carry out classification and recognition tasks. Nevertheless, the …
Spin-transfer torque memories: Devices, circuits, and systems
Spin-transfer torque magnetic memory (STT-MRAM) has gained significant research interest
due to its nonvolatility and zero standby leakage, near unlimited endurance, excellent …
due to its nonvolatility and zero standby leakage, near unlimited endurance, excellent …
Magnetic tunnel junction mimics stochastic cortical spiking neurons
Brain-inspired computing architectures attempt to mimic the computations performed in the
neurons and the synapses in the human brain in order to achieve its efficiency in learning …
neurons and the synapses in the human brain in order to achieve its efficiency in learning …
[HTML][HTML] Encoding neural and synaptic functionalities in electron spin: A pathway to efficient neuromorphic computing
A Sengupta, K Roy - Applied Physics Reviews, 2017 - pubs.aip.org
Present day computers expend orders of magnitude more computational resources to
perform various cognitive and perception related tasks that humans routinely perform every …
perform various cognitive and perception related tasks that humans routinely perform every …
Magnetization dynamics with a spin-transfer torque
The magnetization reversal and dynamics of a spin valve pillar, whose lateral size is 64× 64
nm 2, are studied by using micromagnetic simulation in the presence of spin-transfer torque …
nm 2, are studied by using micromagnetic simulation in the presence of spin-transfer torque …
Dynamics of magnetic nanoparticle in a viscous liquid: Application to magnetic nanoparticle hyperthermia
NA Usov, BY Liubimov - Journal of Applied Physics, 2012 - pubs.aip.org
It is shown that the magnetic dynamics of an assembly of nanoparticles dispersed in a
viscous liquid differs significantly from the behavior of the same assembly of nanoparticles …
viscous liquid differs significantly from the behavior of the same assembly of nanoparticles …
Probabilistic deep spiking neural systems enabled by magnetic tunnel junction
Deep spiking neural networks are becoming increasingly powerful tools for cognitive
computing platforms. However, most of the existing studies on such computing models are …
computing platforms. However, most of the existing studies on such computing models are …
Low-barrier nanomagnets as p-bits for spin logic
It has recently been shown that a suitably interconnected network of tunable telegraphic
noise generators or “p-bits” can be used to perform even precise arithmetic functions like a …
noise generators or “p-bits” can be used to perform even precise arithmetic functions like a …