Genetic algorithm for constructing graphene nanoribbon with given electronic transport properties
Abstract
Electronic transport in carbon nanoribbon is studied in a quantum graph model. A numerical method for current-voltage curve calculation is proposed. Various optimizations of a parallelization scheme are discussed. A parallel genetic algorithm to solve an inverse transport problem is invented.
Supporting agencies: The work is supported by state contract 07.514.11.4146.
About the Authors
I. S. Lobanov
St. Petersburg National Research University of Information Technologies, Mechanics and Optics
Russian Federation
Russian Federation
St. Petersburg
A. I. Trifanov
St. Petersburg National Research University of Information Technologies, Mechanics and Optics
Russian Federation
Russian Federation
St. Petersburg
E. S. Trifanova
St. Petersburg National Research University of Information Technologies, Mechanics and Optics
Russian Federation
Russian Federation
St. Petersburg
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Review
For citations:
Lobanov I.S., Trifanov A.I., Trifanova E.S. Genetic algorithm for constructing graphene nanoribbon with given electronic transport properties. Nanosystems: Physics, Chemistry, Mathematics. 2013;4(4):512-523.
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