50 citations · 118 across the 10 of their papers we have counts for
12 papers
A CMOS+X Spiking Neuron With On-Chip Machine Learning
Steven Louis, Matthew Blake Abramson, Hannah Bradley +8
We present the design and numerical simulation of a spiking neuron in a proof-of-concept model of on-chip machine learning. Built within the CMOS+X framework, the spiking neuron co…
Generation of Ultra-Broadband Frequency Comb in Strongly Bistable Nonlinear Magnonic Resonator
Yu Jiang, Vasyl Tyberkevych, Yizhong Huang +4
Magnonic frequency combs (MFCs) offer a promising route to compact, energy-efficient platforms for on-chip coherent microwave signal generation and processing. Conventional on-chip…
Adaptive Ising machine based on phase-locking of an auto-oscillator to a bi-harmonic external driving with noise
Eleonora Raimondo, Andrea Grimaldi, Vasyl Tyberkevych +6
We introduce a universal theory of phase auto-oscillators driven by a bi harmonic signal (having frequency components close to single and double of the free-running oscillator freq…
Spintronic Neuron Using a Magnetic Tunnel Junction for Low-Power Neuromorphic Computing
Steven Louis, Hannah Bradley, Cody Trevillian +2
This paper proposes a novel spiking artificial neuron design based on a combined spin valve/magnetic tunnel junction (SV/MTJ). Traditional hardware used in artificial intelligence…
Pattern recognition using spiking antiferromagnetic neurons
Hannah Bradley, Steven Louis, Andrei Slavin +1
Spintronic devices offer a promising avenue for the development of nanoscale, energy-efficient artificial neurons for neuromorphic computing. It has previously been shown that with…
A spinwave Ising machine
Artem Litvinenko, Roman Khymyn, Victor H. González +4
We demonstrate a spin-wave-based time-multiplexed Ising Machine (SWIM), implemented using a 5 m thick Yttrium Iron Garnet (YIG) film and off-the-shelf microwave components. The…
Artificial neurons based on antiferromagnetic auto-oscillators as a platform for neuromorphic computing
Hannah Bradley, Steven Louis, Cody Trevillian +4
Spiking artificial neurons emulate the voltage spikes of biological neurons, and constitute the building blocks of a new class of energy efficient, neuromorphic computing systems.…
RF signal detector and energy harvester based on a spin-torque diode with perpendicular magnetic anisotropy
P. Yu. Artemchuk, O. V. Prokopenko, E. N. Bankowski +3
We demonstrate theoretically that in a spintronic diode (SD), having a free magnetic layer with perpendicular magnetic anisotropy of the first and second order and no external bias…
Vector Hamiltonian Formalism for Nonlinear Magnetization Dynamics
Vasyl Tyberkevych, Andrei Slavin, Petro Artemchuk +1
Vector Hamiltonian formalism (VHF) for the description of a weakly nonlinear magnetization dynamics has been developed. Transformation from the traditional Landau-Lifshitz equation…
Experimental demonstration of a rapid sweep-tuned spectrum analyzer with temporal resolution based on a spin-torque nano-oscillator
A. Litvinenko, V. Iurchuk, P. Sethi +8
It is demonstrated experimentally that a spin-torque nano-oscillator (STNO) rapidly sweep-tuned by a bias voltage can be used for time-resolved spectrum analysis of frequency-manip…
Nanoscale X-Ray Imaging of Spin Dynamics in Yttrium Iron Garnet
J. Förster, S. Wintz, J. Bailey +13
Time-resolved scanning transmission x-ray microscopy (TR-STXM) has been used for the direct imaging of spin wave dynamics in thin film yttrium iron garnet (YIG) with spatial resolu…
Low Power Microwave Signal Detection With a Spin-Torque Nano-Oscillator in the Active Self-Oscillating Regime
Steven Louis, Vasyl Tyberkevych, Jia Li +6
A spin-torque nano-oscillator (STNO) driven by a ramped bias current can perform spectrum analysis quickly over a wide frequency bandwidth. The STNO spectrum analyzer operates by i…