Cellular automaton modelling to predict multi-phase solidification microstructures for Fe-C peritectic alloys

A variety of materials containing many different microstructures have been examined with the USS MVEM. Three topics have been selected to illustrate some of the more recent studies of diffraction phenomena and defect, grain and multi-phase structures of metals and minerals.(1) Critical Voltage Effects in Metals and Alloys - This many-beam dynamical diffraction phenomenon, in which some Bragg resonances vanish at certain accelerating voltages, Vc, depends sensitively on the spacing of diffracting planes, Debye temperature θD and structure factors. Vc values can be measured to ± 0.5% in the HVEM ana used to obtain improved extinction distances and θD values appropriate to electron diffraction, as well as to probe local bonding effects and composition variations in alloys.

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Digital imaging and quantitative image analysis of polymer blends

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100163319 ◽

1996 ◽

Vol 54 ◽

pp. 170-171

Author(s):

Xiao Zhang

Keyword(s):

Digital Imaging ◽

Imaging Techniques ◽

Imaging Systems ◽

Polymer Science ◽

Key Factors ◽

Multiple Imaging ◽

Quantitative Image ◽

Digital Imaging Systems ◽

Multi Phase ◽

Network Technologies

Polymer microscopy involves multiple imaging techniques. Speed, simplicity, and productivity are key factors in running an industrial polymer microscopy lab. In polymer science, the morphology of a multi-phase blend is often the link between process and properties. The extent to which the researcher can quantify the morphology determines the strength of the link. To aid the polymer microscopist in these tasks, digital imaging systems are becoming more prevalent. Advances in computers, digital imaging hardware and software, and network technologies have made it possible to implement digital imaging systems in industrial microscopy labs.

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A Probabilistic Cellular Automaton for Evolution

Journal de Physique I ◽

10.1051/jp1:1995186 ◽

1995 ◽

Vol 5 (9) ◽

pp. 1129-1134 ◽

Cited By ~ 2

Author(s):

Nikolaus Rajewsky ◽

Michael Schreckenberg

Keyword(s):

Cellular Automaton ◽

Probabilistic Cellular Automaton

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Autómatas Celulares Aplicados al Comportamiento de Células de Cáncer Cervicouterino

Tecnología Educativa Revista CONAIC ◽

10.32671/terc.v6i1.78 ◽

2019 ◽

Vol 6 (1) ◽

pp. 44-49

Author(s):

Tania Muñoz Jiménez ◽

Aurora Torres Soto ◽

María Dolores Torres Soto

Keyword(s):

Cellular Automaton ◽

Medical Model ◽

Research Process ◽

Simulation Algorithm ◽

Stages Of Development ◽

Literary Research ◽

Migration Dynamics ◽

Three Stages ◽

And Migration ◽

Best Parameters

En este documento se describe el desarrollo e implementación de un modelo para simular computacionalmente la dinámica del crecimiento y migración del cáncer cervicouterino, considerando sus principales características: proliferación, migración y necrosis, así como sus etapas de desarrollo. El modelo se desarrolló mediante un autómata celular con enfoques paralelo y secuencial. El autómata celular se basó en el modelo de Gompertz para simular las etapas de desarrollo de este cáncer, el cual se dividió en tres etapas cada una con diferentes comportamientos durante la simulación. Se realizó un diseño experimental con parámetros de entrada que se seleccionaron a partir de la investigación literaria y su discusión con médicos expertos. Al final del proceso de investigación, se logró obtener un algoritmo computacional de simulación muy bueno comparado con el modelo médico de Gompertz y se encontraron los mejores parámetros para su ejecución mediante un diseño factorial soportado estadísticamente. This paper describes the development and implementation of a model to computationally simulate the growth and migration dynamics of cervical cancer, considering its main characteristics: proliferation, migration and necrosis, as well as its stages of development. The model was developed by means of a cellular automaton with parallel and sequential approaches. The cellular automaton was based on the model of Gompertz to simulate the stages of development of this cancer, which was divided into three stages, each with different behaviors during the simulation. An experimental design was carried out with input parameters that were selected from literary research and its discussion with expert physicians. At the end of the research process, a very good simulation algorithm was obtained compared to the Gompertz medical model and the best parameters for its execution were found by means of a statistically supported factorial design.

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