Results 121 to 130 of about 1,591,491 (373)

Topographical Analysis of Spatial Patterns Generated by a Cellular Automaton Model of the Proliferation of a Cancer Cell Line In Vitro

open access: yesAnalytical Cellular Pathology, 1997
A well‐suited model to simulate cellular population dynamics is the two‐dimensional cellular automaton model, which consists of a lattice of sites, the value ai,j of each site being updated in discrete time steps according to an identical deterministic ...
Jacqueline Palmari   +3 more
doaj   +1 more source

Traffic Flow Modeling of Freeway Variable Speed Limit Control Based on the Big Data of Driving Behavior

open access: yesJournal of Advanced Transportation, 2020
Variable speed limit (VSL) control is a flexible restriction on the rate at which motorists can drive on a given stretch of road. Effective VSL control can increase safety and provide clear guidance for motorists.
Xu Qu   +4 more
doaj   +1 more source

Simulation model ofconsumer decision making [PDF]

open access: yes
In this paper a simulation model is presented, which by means of a cellular automaton allows us to analyze the process of decision making by consumers. The model takes into account the influence of the neighborhood, as well as of advertising. It works on
Agnieszka Kowalska-Styczen
core  

Number-conserving cellular automaton rules

open access: yes, 1999
A necessary and sufficient condition for a one-dimensional q-state n-input cellular automaton rule to be number-conserving is established. Two different forms of simpler and more visual representations of these rules are given, and their flow diagrams are determined. Various examples are presented and applications to car traffic are indicated.
Boccara, N., Fuk'S, H.
openaire   +4 more sources

Laws of Large Numbers for a Cellular Automaton

open access: yesThe Annals of Probability, 1993
Ergodic properties of the dynamical system which is the cellular automaton on \(X=(0,1,\dots,p-1)^ Z\) are investigated, where \(p\) is a prime number. The evolution rule of the system is specified by a mapping \(\tau:X\to X\), \[ (\tau\eta)(x)=\eta(x-1)+\eta(x+1)\bmod P \] for \(\eta(x)\in X\).
Cai, Haiyan, Luo, Xiaolong
openaire   +3 more sources

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

open access: yesAdvanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Blackouts Mechanism Simulation Model of Power System Based on Heterogeneous Cellular Automata

open access: yesZhongguo dianli, 2019
In order to study the mechanism of large blackouts of interconnected power system, a heterogeneous cellular automata model is proposed and used to simulate interconnected power system.
Qun YU, Qi WANG, Na CAO
doaj   +1 more source

Cellular automaton rules conserving the number of active sites

open access: yes, 1998
This paper shows how to determine all the unidimensional two-state cellular automaton rules of a given number of inputs which conserve the number of active sites. These rules have to satisfy a necessary and sufficient condition.
Boccara N   +14 more
core   +1 more source

Robocasting of a Water‐Based Biopolymer/WO3 Nanopowder Paste as a Precursor to Tungsten Carbide Lattices

open access: yesAdvanced Engineering Materials, EarlyView.
This study demonstrates a novel, additive manufacturing approach to produce complex, porous tungsten carbide structures using water‐based direct ink writing/robocasting. Leveraging a modified commercial printer and heat treatment, the process yields lightweight, electrically conductive 3D architectures capable of supporting a mechanical load.
James Bentley Bevis   +3 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani   +4 more
wiley   +1 more source

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