Search results for " Modelli e Metodi Matematici"
showing 3 items of 263 documents
Coherence properties in superconducting flux qubits
The research work discussed in this thesis deals with the study of superconducting Josephson qubits. Superconducting qubits are solid-state artificial atoms which are based on lithographically defined Josephson tunnel junctions properties. When sufficiently cooled, these superconducting devices exhibit quantized states of charge, flux or junction phase depending on their design parameters. This allows to observe coherent evolutions of their states. The results presented can be divided into two parts. In a first part we investigate operations of superconducting qubits based on the quantum coherence in superconducting quantum interference devices (SQUID). We explain experimental data which ha…
High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method
2018
We present a boundary condition scheme for the lattice Boltzmann method that has significantly improved stability for modeling turbulent flows while maintaining excellent parallel scalability. Simulations of a three-dimensional lid-driven cavity flow are found to be stable up to the unprecedented Reynolds number $\mathrm{Re}=5\ifmmode\times\else\texttimes\fi{}{10}^{4}$ for this setup. Excellent agreement with energy balance equations, computational and experimental results are shown. We quantify rises in the production of turbulence and turbulent drag, and determine peak locations of turbulent production.
Effect of pulse amplitude on depression and potentiation of ZrO2(Y)-based memristive synaptic device
2022
The effect of the amplitude of depressing and potentiating pulses on the synaptic plasticity (potentiation and depression) of a memristive device based on the Ta/ZrO2(Y)/Pt stack has been experimentally studied. It is shown that the amplitude of depressing and potentiating pulses affects the synaptic plasticity, namely, the value of current passing through the memristive device. The presented results demonstrate the prospects of using the ZrO2(Y)-based memristive devices as stable and low-power elements of neuromorphic systems.