612 citations · 662 across the 4 of their papers we have counts for
4 papers
Highly-scalable stochastic neuron based on Ovonic Threshold Switch (OTS) and its applications in Restricted Boltzmann Machine (RBM)
Seong-il Im, Hyejin Lee, Jaesang Lee +6
Interest in Restricted Boltzmann Machine (RBM) is growing as a generative stochastic artificial neural network to implement a novel energy-efficient machine-learning (ML) technique…
Magnetic skyrmion artificial synapse for neuromorphic computing
Kyung Mee Song, Jae-Seung Jeong, Biao Pan +13
Since the experimental discovery of magnetic skyrmions achieved one decade ago, there have been significant efforts to bring the virtual particles into all-electrical fully functio…
A highly scalable and energy-efficient artificial neuron using an Ovonic Threshold Switch (OTS) featuring the spike-frequency adaptation and chaotic activity
Milim Lee, Youngjo Kim, Seong Won Cho +5
As an essential building block for developing a large-scale brain-inspired computing system, we present a highly scalable and energy-efficient artificial neuron device composed of…
Nanoscale-hydride formation at dislocations in palladium: Ab initio theory and incoherent inelastic neutron scattering measurements
Dallas R. Trinkle, Hyunsu Ju, Brent J. Heuser +1
Hydrogen arranges at dislocations in palladium to form nanoscale hydrides, changing the vibrational spectra. An ab initio hydrogen potential energy model versus Pd neighbor distanc…