scispace - formally typeset
R

Riccardo Mannella

Researcher at University of Pisa

Publications -  138
Citations -  1929

Riccardo Mannella is an academic researcher from University of Pisa. The author has contributed to research in topics: Stochastic resonance & Noise (electronics). The author has an hindex of 23, co-authored 138 publications receiving 1839 citations.

Papers
More filters

Fluctuations in zero-dispersion nonlinear resonance.

TL;DR: Fluctuations in a periodically driven oscillator whose frequency of eigenoscillation depends non-monotonically on its energy are investigated in this article, and their character and their evolution with the amplitude or frequency of the driving force, can be very different from those of oscillators with a monotonic dependence.
Journal ArticleDOI

Characteristic types of evolution of noise-induced escape flux at short time scales

TL;DR: In this paper, the authors analyze three characteristic initial stages of the quasi-stationary escape flux: the bottom of the potential well, the non-bottom state with given coordinate and velocity, and a thermalized state.
Journal ArticleDOI

Adiabatic divergence of the chaotic layer width and acceleration of chaotic and noise-induced transport

TL;DR: In this article, it was shown that the upper energy of the chaotic layer grows unlimitedly as the frequency of the force goes to zero, which gives rise to the divergence of the rate of the spatial chaotic transport.

Chaos in periodically driven dissipative zero-dispersion systems.

TL;DR: In this article, an archetypal zerothdispersionsystem, the tilted Duffing oscillator (TDO), is studied for weak dissipation under the action of a periodic force of intermediate amplitude, small enough for resonances to be possible but large enough for chaos.
Posted Content

Numerical integration of stochastic differential equations

TL;DR: In this paper, numerical algorithms for the integration of stochastic differential equations in the presence of white noise are introduced and compared, and a specialised algorithm for two dimensional systems is derived.