Results 71 to 80 of about 1,879,580 (356)
Optimal Strong Rates of Convergence for a Space-Time Discretization of the Stochastic Allen–Cahn Equation with Multiplicative Noise [PDF]
The stochastic Allen–Cahn equation with multiplicative noise involves the nonlinear drift operator 𝒜(x)=Δx-(|x|2-1)x{{\mathscr{A}}(x)=\Delta x-(|x|^{2}-1)x}.
A. K. Majee, A. Prohl
semanticscholar +1 more source
Controller design of systems with multiplicative noise [PDF]
Continuous stochastic systems acted upon by scalar multiplicative and vector additive noises are considered. First examined is the problem of finite-horizon control of such a stochastic system with time-varying parameters under the additional constraint of incomplete state information.
Φιλλης Ιωαννης(http://users.isc.tuc.gr/~yphillis) +1 more
openaire +2 more sources
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer +10 more
wiley +1 more source
Power-law tails from multiplicative noise
We show that the well-known Langevin equation, modeling the Brownian motion and leading to a Gaussian stationary distribution of the corresponding Fokker-Planck equation, is changed by the smallest multiplicative noise.
A. Rényi +5 more
core +1 more source
State-dependent diffusion: thermodynamic consistency and its path integral formulation [PDF]
The friction coefficient of a particle can depend on its position as it does when the particle is near a wall. We formulate the dynamics of particles with such state-dependent friction coefficients in terms of a general Langevin equation with ...
A. W. C. Lau +15 more
core +4 more sources
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
The issues of quasi-optimal signal processing in conditions of simultaneous effect of additive and multiplicative non-Gaussian noise are considered. The resulting expression describing the effect on the value of the normalized a posteriori errors of ...
V.M. Artyushenko, V.I. Volovach
doaj
Chaotic Cascades with Kolmogorov 1941 Scaling
We define a (chaotic) deterministic variant of random multiplicative cascade models of turbulence. It preserves the hierarchical tree structure, thanks to the addition of infinitesimal noise. The zero-noise limit can be handled by Perron-Frobenius theory,
A. M. Obukhov +28 more
core +2 more sources
Detection of multiplicative noise in stationary random processes using second- and higher order statistics [PDF]
This paper addresses the problem of detecting the presence of colored multiplicative noise, when the information process can be modeled as a parametric ARMA process.
Coulon, Martial +2 more
core +2 more sources
Near‐Field Optical Detection of Defect‐Stabilized Metallic Islands at the Verwey Transition in Fe3O4
Nanoscale metallic islands emerging across the Verwey transition in thin films of Fe3O4 are imaged using near‐field optical microscopy from mid‐infrared to terahertz frequencies. Recurring across thermal cycles, these disorder‐stabilized islands exhibit distinct transition temperatures.
Kajal Tiwari +4 more
wiley +1 more source

