67 citations · 287 across the 8 of their papers we have counts for
8 papers
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions
Jonathan M. Goodwill, Nitin Prasad, Brian D. Hoskins +9
The increasing scale of neural networks and their growing application space have produced demand for more energy- and memory-efficient artificial-intelligence-specific hardware. Av…
Mutual control of stochastic switching for two electrically coupled superparamagnetic tunnel junctions
Philippe Talatchian, Matthew W. Daniels, Advait Madhavan +5
Superparamagnetic tunnel junctions (SMTJs) are promising sources for the randomness required by some compact and energy-efficient computing schemes. Coupling SMTJs gives rise to co…
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks
Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang +5
Neuromorphic networks based on nanodevices, such as metal oxide memristors, phase change memories, and flash memory cells, have generated considerable interest for their increased…
Stateful characterization of resistive switching TiO2 with electron beam induced currents
Brian D. Hoskins, Gina C. Adam, Evgheni Strelcov +4
Metal oxide resistive switches are increasingly important as possible artificial synapses in next generation neuromorphic networks. Nevertheless, there is still no codified set of…
Imaging Nanophotonic Modes of Microresonators using a Focused Ion Beam
Kevin A. Twedt, Jie Zou, Marcelo Davanco +3
Optical microresonators have proven powerful in a wide range of applications, including cavity quantum electrodynamics, biosensing, microfludics, and cavity optomechanics. Their pe…
Bright focused ion beam sources based on laser-cooled atoms
J. J. McClelland, A. V. Steele, B. Knuffman +3
Nanoscale focused ion beams (FIBs) represent one of the most useful tools in nanotechnology, enabling nanofabrication via milling and gas-assisted deposition, microscopy and microa…