Results 61 to 70 of about 245,006 (326)
Multiscaling in passive scalar advection as stochastic shape dynamics
, 1997 The Kraichnan rapid advection model is recast as the stochastic dynamics of tracer trajectories. This framework replaces the random fields with a small set of stochastic ordinary differential equations.
B. Derrida +11 more
core +1 more source
Stochastic Thermodynamic Interpretation of Information Geometry [PDF]
Physical Review Letters, 2018 13 pages, 3 ...
openaire +4 more sources
Deterministic Writing of Field‐Free and Unipolar Spin‐Transfer Torque Magnetic Random‐Access Memory
Advanced Functional Materials, EarlyView.Deterministic unipolar‐switching STT‐MRAM with field‐free operation is experimentally demonstrated. The device features a compact 4F2 cell architecture using a diode as the access device and a single magnetic tunneling junction. Unlike conventional bipolar switching STT‐MRAM requiring a three‐terminal access transistor in the array, this design offers ...
Ming‐Chun Hong +22 more
wiley +1 more source
A Spatial Consistency Model for Geometry-Based Stochastic Channels
IEEE Access, 2019 Antennas with a massive amount of elements at one end are among 5G mobile communication key technologies for which spectral efficiency is enhanced by serving many users in parallel over tailored minimally interfering beams.
Fjolla Ademaj +3 more
doaj +1 more source
Semigroups of finite-dimensional random projections [PDF]
, 2010 In this paper we present a complete description of a stochastic semigroup of finite-dimensional projections in Hilbert space. The geometry of such semigroups is characterized by the asymptotic behavior of the widths of compact subsets with respect to the
Dorogovtsev, Andrey A.
core
Advanced Functional Materials, EarlyView.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
Thompson Sampling-Based Channel Selection Through Density Estimation Aided by Stochastic Geometry
IEEE Access, 2020 We propose a sophisticated channel selection scheme based on multi-armed bandits and stochastic geometry analysis. In the proposed scheme, a typical user attempts to estimate the density of active interferers for every channel via the repeated ...
Wangdong Deng +4 more
doaj +1 more source
Identification of stochastic operators
, 2014 Based on the here developed functional analytic machinery we extend the theory of operator sampling and identification to apply to operators with stochastic spreading functions.
Pfander, Götz E., Zheltov, Pavel
core +1 more source
Advanced Functional Materials, EarlyView.Spinal cord injury (SCI) poses significant challenges for regeneration due to a series of secondary injury mechanisms. How to use biomaterial approach to target the failed regeneration after SCI remains a critical challenge. This review systematically evaluates current strategies to optimize biomaterial topographies for neurite outgrowth, axonal ...
Wei Xu +7 more
wiley +1 more source
Stochastic Geometry Modeling and Performance Evaluation of mmWave Cellular Communications
, 2015 In this paper, a new mathematical framework to the analysis of millimeter wave cellular networks is introduced. Its peculiarity lies in considering realistic path-loss and blockage models, which are derived from experimental data recently reported in the
Di Renzo, Marco
core +2 more sources