ALCF Science 1 - Argonne National Laboratory
ALCF Science 1 - Argonne National Laboratory
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