50 citations · 192 across the 17 of their papers we have counts for
18 papers
Biologically Realistic Dynamics for Nonlinear Classification in CMOS+X Neurons
Steven Louis, Hannah Bradley, Artem Litvinenko +3
Spiking neural networks encode information in spike timing and offer a pathway toward energy efficient artificial intelligence. However, a key challenge in spiking neural networks…
Temporal magnon-qubit Mach-Zehnder interferometer
Cody Trevillian, Steven Louis, Vasyl Tyberkevych
A temporal magnon-qubit Mach-Zehnder (MZ) interferometer is proposed. The interferometer is based on controllable entanglement of a microwave qubit and a magnonic state, achieved b…
Time-Domain Two-Magnon Interference Enabled by a Tunable Beamsplitter
Cody Trevillian, Steven Louis, Vasyl Tyberkevych
This letter presents a model system for controllable two-magnon interference in the time domain. This two-magnon interference, i.e., a magnonic analog to the photonic Hong-Ou-Mande…
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…
A Physics-Based Circuit Model for Magnetic Tunnel Junctions
Steven Louis, Hannah Bradley, Artem Litvinenko +1
This work presents an equivalent circuit model for Magnetic Tunnel Junctions (MTJs) that accurately captures their magnetization dynamics and electrical behavior. Implemented in LT…
Equivalent Electric Model of a Macrospin
Steven Louis, Hannah Bradley, Vasyl Tyberkevych
Dynamics of a ferromagnetic macrospin (e.g., a free layer of a magnetic tunnel junction (MTJ)) can be described in terms of equivalent capacitor charge and inductor flux , i…
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…
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.…
Hybrid magnonics for short-wavelength spin waves facilitated by a magnetic heterostructure
Jerad Inman, Yuzan Xiong, Rao Bidthanapally +8
Recent research on hybrid magnonics has been restricted by the long magnon wavelengths of the ferromagnetic resonance modes. We present an experiment on the hybridization of 250-nm…
Tunable magnetically induced transparency spectra in magnon-magnon coupled Y3Fe5O12/permalloy bilayers
Yuzan Xiong, Jerad Inman, Zhengyi Li +13
Hybrid magnonic systems host a variety of characteristic quantum phenomena such as the magnetically-induced transparency (MIT) and Purcell effect, which are considered useful for f…
Ultra-fast GHz-range swept-tuned spectrum analyzer with 20 ns temporal resolution based on a spin-torque nano-oscillator with a uniformly magnetized 'free' layer
Artem Litvinenko, Ahmed Sidi El Valli, Vadym Iurchuk +5
The advantage of an ultra-fast frequency-tunability of spin-torque nano-oscillators (STNOs) that have large (> 100MHz) relaxation frequency of amplitude fluctuations is exploited t…
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…
Terahertz frequency spectrum analysis with a nanoscale antiferromagnetic tunnel junction
P. Yu. Artemchuk, O. R. Sulymenko, S. Louis +7
A method to perform spectrum analysis on low power signals between 0.1 and 10 THz is proposed. It utilizes a nanoscale antiferromagnetic tunnel junction (ATJ) that produces an osci…
Ultra-fast wide band spectrum analyzer based on a rapidly tuned spin-torque nano-oscillator
Steven Louis, Olga Sulymenko, Vasyl Tyberkevych +7
A spintronic method of ultra-fast broadband microwave spectrum analysis is proposed. It uses a rapidly tuned spin torque nano-oscillator (STNO), and does not require injection lock…
Spintronic nano-scale harvester of broadband microwave energy
Bin Fang, Mario Carpentieri, Steven Louis +15
The harvesting of ambient radio-frequency (RF) energy is an attractive and clean way to realize the idea of self-powered electronics. Here we present a design for a microwave energ…
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…
Bias-free spin-wave phase shifter for magnonic logic
Steven Louis, Ivan Lisenkov, Sergey Nikitov +2
A design of a magnonic phase shifter operating without an external bias magnetic field is proposed. The phase shifter uses a localized collective spin wave mode propagating along a…