Results 71 to 80 of about 652,852 (288)
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Enhanced Resistive Switching Uniformity in Tantalum Oxide Memristor Devices via Copper Implantation
Advanced Electronic Materials, EarlyView.Metal oxide memristor devices typically suffer from uncontrolled forming processes and limited resistive switching uniformity due to the stochastic formation of an oxygen vacancy filament. Improved resistive switching uniformity in Ta2O5 memristor is developed by Cu implantation in the switching oxide.
Shaochuan Chen, Ilia Valov
wiley +1 more source
Optimal Harvest of a Stochastic Predator-Prey Model
Advances in Difference Equations, 2011 We firstly show the permanence of hybrid prey-predator system. Then, when both white and color noises are taken into account, we examine the asymptotic properties of stochastic prey-predator model with Markovian switching.
Lv Jingliang, Wang Ke
doaj
Advances in Difference Equations, 2018 The objective of this paper is to study the dynamics of the stochastic ratio-dependent predator–prey model with Holling III type functional response and nonlinear harvesting. For the autonomous system, sufficient conditions for globally positive solution
Guijie Lan +3 more
doaj +1 more source
Polymer Concepts in Cellular Function
Advanced Science, EarlyView.
Miao Yu +7 more
wiley +1 more source
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Advanced Electronic Materials, EarlyView.Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
Dynamic Operations in Macromolecular Data Storage
Angewandte Chemie, EarlyView.With the exponential growth of digital data and the limitations of conventional silicon‐based storage and computing technologies, macromolecular data storage, the practice of encoding digital information within large, complex molecules like DNA or synthetic polymers, has emerged as a scalable and sustainable alternative to traditional digital ...
Jakub Ossowski +3 more
wiley +2 more sources
Dynamics of a stochastic modified Leslie–Gower predator–prey system with hunting cooperation
Journal of Biological DynamicsIn this paper, we consider a stochastic two-species predator–prey system with modified Leslie–Gower. Meanwhile, we assume that hunting cooperation occurs in the predators.
Chao Li, Peilin Shi
doaj +1 more source
Stochastic Dynamics of an SIRS Epidemic Model with Ratio-Dependent Incidence Rate
Abstract and Applied Analysis, 2013 We investigate the complex dynamics of an epidemic model with nonlinear incidence rate of saturated mass action which depends on the ratio of the number of infectious individuals to that of susceptible individuals.
Yongli Cai +3 more
doaj +1 more source
Advances in Mathematical Physics, 2020 A stochastic predator-prey model with disease in the prey and Holling type II functional response is proposed and its dynamics is analyzed. We discuss the boundedness of the dynamical system and find all feasible equilibrium solutions. For the stochastic
C. Gokila +3 more
doaj +1 more source