9 citations · 26 across the 16 of their papers we have counts for
5 papers · 1 filter
Phase noise analysis and control of VO-based relaxation type oscillators
Artem Litvinenko, Erbin Qiu, Sambit Ghosh +5
VO-based relaxation oscillators form a rapidly developing field that finds applications in neuromorphic computing, Ising machines, and numerous signal processing concepts. Thes…
Signal amplification in simple metal-insulator transition devices
Victor Palin, Nareg Ghazikhanian, Matthew Frame +3
Signal dissipation in large-scale neural networks can lead to information loss and ultimately to computational failures, necessitating local signal amplification at neuron - synaps…
Inhibitory neuristor based on metal-to-insulator transition
Victor Palin, Akash Agnihotri, Nareg Ghazikhanian +4
Mimicking the collective excitatory and inhibitory behaviors of biological neurons remains a critical challenge in the development of neuromorphic computing systems that rival the…
Disorder-driven stochastic dynamics in Mott resistive-switching systems
David J. Alspaugh, Lorenzo Fratino, Nareg Ghazikhanian +2
Controlled disorder in correlated materials provides a new route to emergent stochastic dynamics in neuromorphic hardware. Here we show that focused ion beam irradiation in VO$_{2}…
Jamming-controlled stochasticity in metal-insulator switching
Nicolò D'Anna, Nareg Ghazikhanian, Katherine Matthews +5
Understanding and controlling phase transitions is a fundamental part of physics and has been central to many technological revolutions, from steam engines to field-effect transist…