A primer in computational science of Stochastic Mechanics at undergraduate level

AshEse Journal of Physical Science                                                                    

Vol. 1(3), pp. 22-32, August, 2015

ISSN 2059-7827

© 2015 AshEse Visionary Limited   

 

Full Length Research

M.A. Tunes1*, T.R. Czank2, E.S. Goncalves3, L.F. Franceschetti1 and C.G. Schoen1  
1Escola Politecnica da Universidade de São Paulo, Departamento de Engenharia Metalúrgica e de Materiais Av. Prof. Mello Moraes, 2463. Cid. Universitaria 05508-030 - SP/Brazil 2Instituto de Física da Universidade de São Paulo, Brazil, Laboratório de Instrumentação de Partículas (LIP), Brazil. 3Grupo de Fluidos Complexos (GFCx), Rua do Matão, Travessa R, 187. Cid. Universitaria 05314-970 - SP/Brazil.  *Corresponding author. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.  
Received 24 June, 2015; Accepted 25 July, 2015  
 
For many years parametric experiments that help students to develop a better understanding about Physics theories have not been addressed in undergraduate courses in many fields, such as stochastic and statistical mechanics. In this work, a series of simulations in stochastic mechanics were carried out in the MATLAB environment to demonstrate the high value of computational science for students to explore fundamental aspects of dynamic systems. The basics of stochastic systems are discussed like the Langevin and Lenz-Ising models. The use of computational science in these courses should be stimulated due to the fact that in contemporary research in Physics, these parametric experiments are combined with theoretical approaches and real experiments to compose a new scientific methodology.   
 
Key words: Stochastic Mechanics, MATLAB Simulations, Langevin, Lenz-Ising and Urn’s models. 

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