Static and statistical bending of DNA evaluated by Monte Carlo simulations.
نویسندگان
چکیده
منابع مشابه
Monte Carlo Simulations in Statistical Physics
In these notes I discuss Monte Carlo simulations for the study of classical models in statistical mechanics. I include a simple and direct proof that the method converges to the Boltzmann distribution. Usually, physics articles discuss this important point by just giving a reference to the mathematical literature on " Markov chains " , where the proof is rather abstract. In these notes I give a...
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Monte Carlo simulation is a very important class of stochastic methods for calculating thermal properties of many-particle systems—arguably these are the most important numerical techniques in statistical physics. Monte Carlo simulation methods are related to the elementary Monte Carlo integration methods that we discussed earlier, but are based on more efficient non-uniform sampling schemes. B...
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We describe a new algorithm that approaches Monte Carlo simulation in statistical physics in a different way. Instead of sampling the probability distribution at a fixed temperature, a random walk is performed in energy space to directly extract an estimate for the density of states. The canonical probability can then be found at any temperature by weighting by the appropriate Boltzmann factor,...
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In equilibrium statistical physics (often called “statistical mechanics”) we consider the behavior of a system in equilibrium with its surroundings (a “heatbath”). The energy of the system is not exactly fixed because it can exchange energy with the bath, and the state of the system is not fixed. Statistical mechanics tells us that the system has a certain probability that the system can be in ...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 1991
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.88.16.7046