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ALCF Science 1 - Argonne National Laboratory

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10<br />

EARLY SCIENCE PROGRAM<br />

Chemistry<br />

High-Accuracy Predictions of the Bulk Properties of Water<br />

Among the ab initio methods, second-order perturbation theory (MP2)<br />

predicts highly accurate structures and relative energies for water<br />

clusters. Researchers will carry out molecular dynamics simulations<br />

of water at the MP2 level. However, full MP2 calculations of even<br />

modest-sized water clusters are far too time-consuming for dynamical<br />

simulations, even on the next-generation Blue Gene. Therefore, a key<br />

element of the current approach will be the use of MP2 in conjunction<br />

with the Fragment Molecular Orbital (FMO) method. Compared with<br />

today’s calculations, researchers will determine the bulk properties<br />

at higher levels of accuracy using larger basis sets, larger embedded<br />

clusters, and longer dynamics simulations, as permitted by the greater<br />

computational capacity available with the Blue Gene. They will target<br />

the following bulk properties of water: structure, density, refractive<br />

index, diffusion constant, free energy, heat capacity, dielectric constant,<br />

vaporization enthalpy, isothermal compressibility, and thermal<br />

expansion coefficients. The final eight properties are more difficult to<br />

obtain than the first two. While Blue Gene/P gives good estimates,<br />

the greater capacity of the next-generation Blue Gene will be critical<br />

to establishing convergence of these properties with respect to<br />

theory, basis set, cluster size, and simulation length. There have been<br />

conflicting reports in the literature about the relevance of “chain”<br />

or”ring” networks in water. The high-accuracy simulations on the nextgeneration<br />

Blue Gene will help settle this argument about the structure<br />

of liquid water.<br />

Early <strong>Science</strong> Program<br />

Allocation:<br />

2 Million Hours<br />

Contact Mark Gordon<br />

Iowa State University | mark@si.msg.chem.iastate.edu

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