Alejandro Salcido

Alejandro Salcido is currently Lead Scientist in the Environmental Sustainability Program at the National Institute of Electricity and Clean Energies (Instituto Nacional de Electricidad y Energías Limpias) in Cuernavaca, Mexico. He received his Ph.D. in Physics from the Physics Department of the Faculty of Sciences at the National University of Mexico (Universidad Nacional Autónoma de México, UNAM) in 1992. From 1979 up to 1991 Dr. Salcido was Staff Scientist (Statistical Physics and Lattice Gas Models) and Faculty Professor (Thermodynamics, Fluid Mechanics and Electrodynamics) at the Physics Department of UNAM. Dr. Salcido has published close to a hundred scholarly articles in international journals, proceedings of conferences and book chapters. His main research topics include micrometeorology, air pollution modelling, wind taxonomy, lattice gas dynamics, cellular automata fluids, traffic cellular automata, non-equilibrium thermodynamics, thermodynamic and phonon properties of high Tc superconductors, and mathematical modelling.

3books edited

1chapters authored

Latest work with IntechOpen by Alejandro Salcido

Cellular automata make up a class of completely discrete dynamical systems, which have became a core subject in the sciences of complexity due to their conceptual simplicity, easiness of implementation for computer simulation, and their ability to exhibit a wide variety of amazingly complex behavior. The feature of simplicity behind complexity of cellular automata has attracted the researchers' attention from a wide range of divergent fields of study of science, which extend from the exact disciplines of mathematical physics up to the social ones, and beyond. Numerous complex systems containing many discrete elements with local interactions have been and are being conveniently modelled as cellular automata. In this book, the versatility of cellular automata as models for a wide diversity of complex systems is underlined through the study of a number of outstanding problems using these innovative techniques for modelling and simulation.

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