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Reweighting technique, potential energy

After an optimal weight factor Wmu(E, V) is obtained, a long production simulation is performed for data collection. We employ the reweighting techniques [8] for the results of the production run to calculate the isobaric-isothermal-ensemble averages. The probability distribution / npt(A, V T, V) of potential energy and volume in the isobaric-isothermal ensemble at the desired temperature T and pressure V is given by... [Pg.69]

Fig. 4.2. Time series of potential energy of the C-peptide system from the multi-canonical MD production run (a) and the average potential energy as a function of temperature (b). The latter was obtained from the trajectory of the multicanonical MD production run by the single-histogram reweighting techniques... Fig. 4.2. Time series of potential energy of the C-peptide system from the multi-canonical MD production run (a) and the average potential energy as a function of temperature (b). The latter was obtained from the trajectory of the multicanonical MD production run by the single-histogram reweighting techniques...
The above reweighting technique [136] is analogous to the histogram Monte Carlo approach [141-143], but instead of determining the configurational density of states from the canonical potential energy distribution, g, effectively a density of minima, is obtained from the occupation probability of the different basins of attraction. A similar approach has been used to calculate the density of minima as a function of the potential energy for a bulk liquid [144,145]. [Pg.26]


See other pages where Reweighting technique, potential energy is mentioned: [Pg.92]    [Pg.61]    [Pg.61]    [Pg.67]    [Pg.72]    [Pg.78]    [Pg.136]    [Pg.200]    [Pg.224]    [Pg.234]    [Pg.244]    [Pg.371]    [Pg.294]    [Pg.4810]    [Pg.315]    [Pg.609]    [Pg.253]    [Pg.306]    [Pg.365]   


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Energy techniques

Potential Technique

Reweighting

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