Results 81 to 90 of about 139,045 (317)
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
The paper presents a systematic approach to optimizing maintenance and repair processes of complex technical systems based on stochastic modeling methods.
Alexsandr Leonov, Victor Munerman
doaj +1 more source
Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu +13 more
wiley +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Stochastic errors vs. modeling errors in distance based phylogenetic reconstructions
Dörr D, Gronau I, Moran S, Yavneh I. Stochastic errors vs. modeling errors in distance based phylogenetic reconstructions. Algorithms for Molecular Biology.
Gronau, Ilan +11 more
core +1 more source
A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley +1 more source
Time and Crack Length Dependent Stochastic Models of Fatigue Crack Growth. State-of-the-Art Review
Random character of fatigue crack growth observed in experiments inspires many researchers to apply the methods of probability theory and theory of stochastic processes in modeling of the phenomenon. Among many proposals the continuous stochastic models
K. Doliński
doaj
Cauchy–Logistic Unit Distribution: Properties and Application in Modeling Data Extremes
This manuscript deals with a novel two-parameter stochastic distribution, obtained by transforming the Cauchy distribution, using generalized logistic mapping, into a unit interval.
Vladica S. Stojanović +4 more
doaj +1 more source
Stochastic modeling for starting-time of phase evolution of random seismic ground motions
In response to the challenge inherent in classical high-dimensional models of random ground motions, a family of simulation methods for non-stationary seismic ground motions was developed previously through employing a wave-group propagation formulation ...
Yongbo Peng, Jie Li
doaj +1 more source
Modeling electricity spot prices - Combining mean-reversion, spikes and stochastic volatility [PDF]
Starting with the liberalization of electricity trading, this market grew rapidly over the last decade. However, while spot and future markets are rather liquid nowadays, option trading is still limited.
Schmid, Thomas +2 more
core

