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Scaled collective-variable algorithm

Trosset J-Y, Scheraga HA (1999) Flexible docking simulations scaled collective variable Monte Carlo minimization approach using Bezier splines, and comparison with a standard Monte Carlo algorithm. J Comp Chem 20 244-252... [Pg.164]

Simulations Scaled Collective Variable Monte Carlo Minimization Approach Using Bezier Splines, and Comparison with a Standard Monte Carlo Algorithm. [Pg.52]

Keywords Ab initio molecular dynamics simulations Always stable predictor-corrector algorithm Associated liquids Basis set Bom-Oppenheimer molecular dynamics simulations Car-Parrinello molecular dynamics simulations Catalysis Collective variable Discrete variable representation Dispersion Effective core potential Enhanced sampling Fictitious mass First-principles molecular dynamics simulations Free energy surface Hartree-Fock exchange Ionic liquids Linear scaling Metadynamics Nudged elastic band Numerically tabulated atom-centered orbitals Plane waves Pseudopotential Rare event Relativistic electronic structure Retention potential Self consistent field SHAKE algorithm ... [Pg.109]

After collecting thermohygrometric data, an algorithm was designed in Matlab, which allowed to obtain the thermal standards for the packaging section. The abscissa and the ordinate axis represent a relative scale of the section space, i.e. the distance in meters. In addition, in the right side of the graphics appears a colors table that is associated to the values of the variable under study, which creates a color pattern. [Pg.246]


See other pages where Scaled collective-variable algorithm is mentioned: [Pg.265]    [Pg.265]    [Pg.319]    [Pg.23]    [Pg.1917]    [Pg.112]    [Pg.156]   


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