31 citations · 44 across the 9 of their papers we have counts for
10 papers
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…
Electrically induced ferromagnetism in an irradiated complex oxide
Nareg Ghazikhanian, Pavel Salev, Dayne Sasaki +2
In metal-insulator transition materials, a small perturbation can shift the delicate balance between competing or coexisting electronic phases, leading to dramatic changes of the m…
Enhanced stochasticity in irradiated vanadium oxide oscillators
Nareg Ghazikhanian, David J. Alspaugh, Pavel Salev +3
Insulator-to-metal transition materials are highly sensitive to even minute deviations of stoichiometry, lattice defects, and disorder, which provides opportunities to engineer the…