16 citations · 40 across the 11 of their papers we have counts for
11 papers
Magnetic Field-Mediated Superconducting Logic
Alexander J. Edwards, Son T. Le, Nicholas W. G. Smith +7
While superconductors are highly attractive for energy-efficient computing, fundamental limitations in their logic circuit integration have hindered scaling and led to increased en…
Kinematic Model of Magnetic Domain Wall Motion for Fast, High-Accuracy Simulations
Kristi Doleh, Leonard Humphrey, Chandler M. Linseisen +8
Domain wall (DW) devices have garnered recent interest for diverse applications including memory, logic, and neuromorphic primitives; fast, accurate device models are therefore imp…
Deep Neuromorphic Networks with Superconducting Single Flux Quanta
Gleb Krylov, Alexander J. Edwards, Joseph S. Friedman +1
Conventional semiconductor-based integrated circuits are gradually approaching fundamental scaling limits. Many prospective solutions have recently emerged to supplement or replace…
Neuromorphic Hebbian learning with magnetic tunnel junction synapses
Peng Zhou, Alexander J. Edwards, Frederick B. Mancoff +3
Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approach…
Near-Landauer Reversible Skyrmion Logic with Voltage-Based Propagation
Benjamin W. Walker, Alexander J. Edwards, Xuan Hu +3
Magnetic skyrmions are topological quasiparticles whose non-volatility, detectability, and mobility make them exciting candidates for low-energy computing. Previous works have demo…
Logical and Physical Reversibility of Conservative Skyrmion Logic
Xuan Hu, Benjamin W. Walker, Felipe García-Sánchez +6
Magnetic skyrmions are nanoscale whirls of magnetism that can be propagated with electrical currents. The repulsion between skyrmions inspires their use for reversible computing ba…
Experimental Demonstration of Neuromorphic Network with STT MTJ Synapses
Peng Zhou, Alexander J. Edwards, Fred B. Mancoff +3
We present the first experimental demonstration of a neuromorphic network with magnetic tunnel junction (MTJ) synapses, which performs image recognition via vector-matrix multiplic…
Focused Surface Acoustic Wave induced nano-oscillator based reservoir computing
Md. Fahim F. Chowdhury, Walid Al Misba, Md Mahadi Rajib +4
We demonstrate using micromagnetic simulations that a nanomagnet array excited by Surface Acoustic Waves (SAWs) can work as a reservoir that can classify sine and square waves with…
Analog Seizure Detection for Implanted Responsive Neurostimulation
Abbas A. Zaki, Noah C. Parker, Tae-Yoon Kim +9
Epilepsy can be treated with medication, however, of epileptic patients are still drug resistive. Devices like responsive neurostimluation systems are implanted in select pa…
Passive frustrated nanomagnet reservoir computing
Alexander J. Edwards, Dhritiman Bhattacharya, Peng Zhou +10
Reservoir computing (RC) has received recent interest because reservoir weights do not need to be trained, enabling extremely low-resource consumption implementations, which could…
Reservoir Computing with Planar Nanomagnet Arrays
Peng Zhou, Nathan R. McDonald, Alexander J. Edwards +3
Reservoir computing is an emerging methodology for neuromorphic computing that is especially well-suited for hardware implementations in size, weight, and power (SWaP) constrained…