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Monte-Carlo/simulated annealing algorithm configuration

Despite such restrictions, real space crystallographic methods based on genetic algorithms, Monte-Carlo methods, or simulated annealing techniques have proved to be powerful means for structure solutions from X-ray powder patterns. Provided with the unit cell, the composition and configuration of the asymmetric unit, and sufficiently texture-free diffraction data, refinable structure models can be obtained within minutes on a personal computer, even for molecules with multiple internal degrees of freedom. The resulting structure models are then refined by Rietveld techniques, which use the whole profile of the X-ray diffraction pattern for refinement . ... [Pg.111]


See other pages where Monte-Carlo/simulated annealing algorithm configuration is mentioned: [Pg.183]    [Pg.35]    [Pg.324]    [Pg.183]    [Pg.411]    [Pg.373]    [Pg.3]    [Pg.19]    [Pg.314]    [Pg.154]    [Pg.258]    [Pg.100]    [Pg.728]    [Pg.649]    [Pg.1138]    [Pg.409]    [Pg.412]    [Pg.689]    [Pg.58]    [Pg.2596]   
See also in sourсe #XX -- [ Pg.165 ]




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Algorithm annealing

Carlo simulation

Monte Carlo simulation

Monte Carlo simulations, configurational

Monte simulations

Monte-Carlo/simulated annealing algorithm

Simulated Annealing

Simulating annealing

Simulation algorithm

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