124 citations · 250 across the 18 of their papers we have counts for
20 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…
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…
Accurate prediction of macroscopic transport from microscopic imaging via critical fractals at the Mott transition
P. -Y. Chen, A. R. Rajapurohita, M. Alzate Banguero +7
Vanadium dioxide (VO) exhibits hysteresis in resistance while undergoing a thermally driven insulator-metal transition (IMT). Understanding the nonequilibrium effects in resist…
Effects of Interactions and Defect Motion on Ramp Reversal Memory in Locally Phase Separated Materials
Y. Sun, M. Alzate Banguero, P. Salev +4
The ramp-reversal memory (RRM) effect in metal-insulator transition metal oxides (TMOs), a non-volatile resistance change induced by repeated temperature cycling, has attracted con…
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…
Voltage control of spin resonance in phase change materials
Tian-Yue Chen, Haowen Ren, Nareg Ghazikhanian +6
Metal-insulator transitions (MITs) in resistive switching materials can be triggered by an electric stimulus that produces significant changes in the electrical response. When thes…
Domain nucleation across the metal-insulator transition of self-strained V2O3 films
Alexandre Pofelski, Sergio Valencia, Yoav Kalcheim +8
Bulk V2O3 features concomitant metal-insulator (MIT) and structural (SPT) phase transitions at TC ~ 160 K. In thin films, where the substrate clamping can impose geometrical restri…
Local strain inhomogeneities during the electrical triggering of a metal-insulator transition revealed by the x-ray microscopy
Pavel Salev, Elliot Kisiel, Dayne Sasaki +10
Electrical triggering of a metal-insulator transition (MIT) often results in the formation of characteristic spatial patterns such as a metallic filament percolating through an ins…
High-Resolution Full-field Structural Microscopy of the Voltage Induced Filament Formation in Neuromorphic Devices
Elliot Kisiel, Pavel Salev, Ishwor Poudyal +7
Neuromorphic functionalities in memristive devices are commonly associated with the ability to electrically create local conductive pathways by resistive switching. The archetypal…
Magnetoresistance anomaly during the electrical triggering of a metal-insulator transition
Pavel Salev, Lorenzo Fratino, Dayne Sasaki +4
Phase separation naturally occurs in a variety of magnetic materials and it often has a major impact on both electric and magnetotransport properties. In resistive switching system…
Correlative mapping of local hysteresis properties in VO
Melissa Alzate Banguero, Sayan Basak, Nicolas Raymond +6
We have developed a new optical microscopy technique able to track micron-sized surface clusters as temperature is varied. Potential candidates for study include phase separated me…
Deep Learning Hamiltonians from Disordered Image Data in Quantum Materials
S. Basak, M. Alzate Banguero, L. Burzawa +8
The capabilities of image probe experiments are rapidly expanding, providing new information about quantum materials on unprecedented length and time scales. Many such materials fe…
Tuning spin-orbit torques across the phase transition in VO/NiFe heterostructure
Jun-young Kim, Joel Cramer, Kyujoon Lee +9
The emergence of spin-orbit torques as a promising approach to energy-efficient magnetic switching has generated large interest in material systems with easily and fully tunable sp…
Stress-tailoring magnetic anisotropy of VO/Ni bilayers
Christian T. Wolowiec, Juan Gabriel Ramírez, Min-Han Lee +4
We report on a temperature-driven reversible change of the in-plane magnetic anisotropy of VO/Ni bilayers. This is caused by the rhombohedral to monoclinic structural phase…
Voltage-controlled magnetism enabled by resistive switching
Pavel Salev, Iana Volvach, Dayne Sasaki +4
The discovery of new mechanisms of controlling magnetic properties by electric fields or currents furthers the fundamental understanding of magnetism and has important implications…
Direct observation of the electrically triggered Insulator-Metal transition in V3O5 far below the transition temperature
Coline Adda, Min-Han Lee, Yoav Kalcheim +6
Resistive switching is one of the key phenomena for applications such as nonvolatile memories or neuromorphic computing. V3O5, a compound of the vanadium oxide Magnéli series, is o…
Resistive switching in reverse: voltage driven formation of a transverse insulating barrier
Pavel Salev, Lorenzo Fratino, Dayne Sasaki +6
Application of an electric stimulus to a material with a metal-insulator transition can trigger a large resistance change. Resistive switching from an insulating into a metallic ph…
Non-Thermal Resistive Switching in Mott Insulators
Yoav Kalcheim, Alberto Camjayi, Javier del Valle +3
Resistive switching can be achieved in a Mott insulator by applying current/voltage, which triggers an insulator-metal transition (IMT). This phenomenon is key for understanding IM…
A caloritronics-based Mott neuristor
Javier del Valle, Pavel Salev, Yoav Kalcheim +1
Machine learning imitates the basic features of biological neural networks to efficiently perform tasks such as pattern recognition. This has been mostly achieved at a software lev…