1 citations · 1 across the 4 of their papers we have counts for
5 papers
High-speed time-series prediction using compact memristor circuits with adjustable dynamics
Dániel Molnár, János Volk, Tímea Nóra Török +5
TaO nonvolatile memristors are used as compact, traceable, and well-controllable dynamic reservoir computing layers to perform time-series prediction tasks. The strongly vo…
Voltage-driven transition from steady-state fluctuations to phase-transition noise in nanoscale VO devices
Sebastian Werner Schmid, Zoltán Balogh, Botond Sánta +6
We investigate the electrically driven metal-to-insulator transition (MIT) in nanoscale vanadium dioxide (VO) Mott memristor through noise spectroscopy and two-dimensional resi…
VO oscillator circuits optimized for ultrafast, 100 MHz-range operation
Zsigmond Pollner, Tímea Nóra Török, László Pósa +9
Oscillating neural networks are promising candidates for a new computational paradigm, where complex optimization problems are solved by physics itself through the synchronization…
Benchmarking stochasticity behind reproducibility: denoising strategies in TaO memristors
Anna Nyáry, Zoltán Balogh, Botond Sánta +5
Reproducibility, endurance, driftless data retention, and fine resolution of the programmable conductance weights are key technological requirements against memristive artificial s…
Improving single-molecule conductance measurements with change point detection from the econometrics toolbox
Joseph M. Hamill, William Bro-Jørgensen, Zoltán Balogh +5
Structural breaks occur in timeseries data across a broad range of fields, from economics to nanosciences. For measurements of single-molecule break junctions, structural breaks in…