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Simulated annealing equations

A key feature of the Car-Parrinello proposal was the use of molecular dynamics a simulated annealing to search for the values of the basis set coefficients that minimise I electronic energy. In this sense, their approach provides an alternative to the traditioi matrix diagonalisation methods. In the Car-Parrinello scheme, equations of motion ... [Pg.633]

Based on this equation, the NOE gives a measure of the distance between two nuclei, typically up to a maximum observable distance of about 5 A. The distances determined for proton pairs in a peptide can be used as restraints in simulated annealing approaches for the calculation of the 3D structure of the peptide (38-40). [Pg.90]

This was achieved using dynamic simulated annealing , which is a technique in molecular dynamics, and combining it with DFT theory the resulting dynamical equations being solved simultaneously rather than sequentially. [Pg.156]

M.J. Field, Global optimization using ab initio quantum mechanical potentials and simulated annealing of the classical Liouville equation, J. Chem. Phys. 103 (1995), 3621. [Pg.182]

The least-squares solution of a multiple linear regression equation can be calculated in one step, so the number of iterations performed is not an important issue to consider when selecting descriptors. Therefore, simulated annealing is an appropriate choice for performing the optimization. [Pg.115]

We applied three hierarchical clustering methods to the same 32 data sets used in the previous section for partitional clustering (1) simulated annealing with the criterion in equation (11) (2) simulated annealing with the criterion in equation (12) and (3) Ward s algorithm. Each method generated a separate dendrogram for each data set. [Pg.151]

This combination has proven to be the most robust means of data analysis. It has enabled us to determine biexponential fluorescence decay parameters from dansylated amino acids in the presence of bovine serum albumin (BSA) [28,29]. An example of this type is shown in Figure 7. Here a plot of the observed fluorescence fi om dansylproline and BSA is overlaid with the calculated fluorescence obtained firom Equation (11), the measured instrument response function, and the parameters determined from the hybrid analysis. These results, including the intermediate simulated annealing results, are shown in Table 2. [Pg.255]

The use of simulated annealing in conjunction with dynamical simulations relies on the variational approach for electronic structure. In Schrodinger equation-based methods [12], parameters of the electronic wave function ) are obtained by minimization of... [Pg.419]

Density functional techniques are, in principle, based on minimization of energy as a functional of the electron density p(r). In practice the density is represented in terms of Kohn-Sham orbitals, and therefore the implementation takes the same broad form [Equation (2)] as Schrodinger based methods. We will forgo extensive discussion of specific forms of [ ] until Section 2 below, and consider simple examples to illustrate the use simulated annealing here. [Pg.419]

Figure 4. Nuclear trajectories generated by the simulated annealing molecular dynamics defined by the Lagrangian in Equation(4) using masses for all parameters equal to either 0.1 or 0.01 times the proton mass. For comparison, the exact nuclear trajectory on the Born-Oppenheimer surface is shown. Figure 4. Nuclear trajectories generated by the simulated annealing molecular dynamics defined by the Lagrangian in Equation(4) using masses for all parameters equal to either 0.1 or 0.01 times the proton mass. For comparison, the exact nuclear trajectory on the Born-Oppenheimer surface is shown.
Figure 7. Nuclear dynamics of the simplified model defined in Equation (5) in which the wave function parameters are determined by solution of the damped equation of motion (14). The parameters are chosen so that, for artistic reasons, the simulated annealing and exact Born-Oppenheimer trajectories are distinguishable to the reader. Further diminution of the parameter mass m and damping coefficient 7 would bring the simulated annealing trajectory arbitrarily close to the exact result. Figure 7. Nuclear dynamics of the simplified model defined in Equation (5) in which the wave function parameters are determined by solution of the damped equation of motion (14). The parameters are chosen so that, for artistic reasons, the simulated annealing and exact Born-Oppenheimer trajectories are distinguishable to the reader. Further diminution of the parameter mass m and damping coefficient 7 would bring the simulated annealing trajectory arbitrarily close to the exact result.
Selloni et al. [48] were the first to simulate adiabatic ground state quantum dynamics of a solvated electron. The system consisted of the electron, 32 K+ ions, and 31 Cl ions, with electron-ion interactions given by a pseudopotential. These simulations were unusual in that what has become the standard simulating annealing molecular dynamics scheme, described in the previous section, was not used. Rather, the wave function of the solvated electron was propagated forward in time with the time-dependent Schrodinger equation,... [Pg.433]

Certain Schrodinger equation based methods, such as coupled cluster theory, are not based on a variational principle. They fall outside schemes that use the energy expectation value as a optimization function for simulated annealing, although these methods could be implemented within a simulated annealing molecular dynamics scheme with alternative optimization function. [Pg.438]

M.M. Doria, J.E. Gubernatis, D. Rainer, Solving the Ginzburg-Landau equations by simulated annealing. Physical Review B Condensed Matter, 41 (1990) 6335. [Pg.466]

Dynamical simulated annealing (DSA)177 is a variant of restrained molecular dynamics (RMD).178 There are numerous programs available for performing molecular dynamics (MD) simulations, including GROMOS,178 AMBER,179 CHARMM,180 X-PLOR/CNS,181 and OPLS.182 In MD simulations, Newton s equations of motion are solved for all atoms under the influence of a physical force field ( physical), which for a protein has the form183... [Pg.316]


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