By Peter Lykos (Eds.)
content material: Molecular dynamics simulations of drinks with ionic interactions / ok. Heinzinger, W.O. Riede, L. Schaefer, and Gy. I. Szász --
Monte Carlo simulation of water / C.S. Pangali, M. Rao, and B.J. Berne --
choice of the suggest strength of 2 noble gasoline atoms dissolved in water / C.S. Pangali, M. Rao, and B.J. Berne --
making use of the polarization version to the hydrated lithium cation / Carl W. David --
Molecular dynamics simulation of methane utilizing a singularity-free set of rules / S. Murad and K.E. Gubbins --
constitution of a liquid-vapor interface / M. Rao and B.J. Berne --
machine simulation of the liquid-vapor floor of molecular fluids / S.M. Thompson and K.E. Gubbins --
excessive box conductivity / Benson R. Sundheim --
laptop simulation of collective modes in solids / M.L. Klein --
computing device simulations of the melting and freezing of straightforward platforms utilizing an array processor / G. Chester, R. Gann, R. Gallagher, and A. Grimison --
Simulating the dynamic and equilibrium houses of a multichain polymer method / David E. Kranbuehl and Bruce Schardt --
software of conformational strength calculations to disorder houses in polymer crystals / Richard H. Boyd --
a number of time step tools and a better capability functionality for molecular dynamics simulations of molecular beverages / W.B. Streett, D.J. Tildesley, and G. Saville --
Optimization of sampling algorithms in Monte Carlo calculations on fluids / John C. Owicki --
Molecular dynamics simulations of easy fluids with three-body interactions integrated / J.M. Haile --
Monte Carlo experiences of the constitution of liquid water and dilute aqueous ideas / David L. Beveridge, Mihaly Mezei, S. Swaminathan, and S.W. Harrison --
machine modeling of quantum drinks and crystals / M.H. Kalos, P.A. Whitlock, and D.M. Ceperley --
From microphysics to macrochemistry through discrete simulations / Jack S. Turner.
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Additional resources for Computer Modeling of Matter
1 °' "I 1 100 1 1 1 1 500 1 1 " ° " ^ ° H ^ 1 • 1000 1 K Figure 13. Comparison of the normalized rotational kinetic energy distribution of the water molecules with a Maxwellian one (dots) dN dT to M D3 > p o w r § I 4^ 1. HEINZINCER ET AL. 5 1 075 psec Figure 14. ; ACS Symposium Series; American Chemical Society: Washington, DC, 1978. 1 1 — j, and 26 COMPUTER MODELING OF MATTER depends both on the accuracy of the programmed force routines and, as F(t) is calculated from predicted values, on the accuracy of the predicted com coordinates and Euler angles.
The r e s u l t s are summarized i n Table I. Not o n l y does the f o r c e b i a s method g i v e a s t a t e with a lower mean p o t e n t i a l energy, but the s t a t e i s r e p r o d u c i b l e . D. 4e. C. methods and the molecular dynamics method a l l give the same e q u i l i b r i u m s t a t e with s t a t i s t i c a l l y i n d i s t i n g u i s h a b l e p o t e n t i a l energies. In the molecular dynamics method the p a i r f o r c e i s s e t equal to zero when the p a i r d i s t a n c e exceeds a c e r t a i n d i s t a n c e r .
C. walk. The change i n o r i e n t a t i o n i s accomplished by s e l e c t i n g the x, y or z a x i s a t random and performing a r o t a t i o n through an angle 69 about the chosen a x i s . , 6y. and 6z. according to the components of the f o r c e F. acting^on the p a r t i c l e j , while 69. w i l l be sampled s u b j e c t to the component of the torque along t h e a x i s s e l e c t e d f o r the r o t a t i o n . 31 x 10 e r g ) . A l t o g e t h e r n e a r l y 500,000 moves were attempted with t h i s method.
Computer Modeling of Matter by Peter Lykos (Eds.)