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Basic Research Needs for Geosciences - Energetics Meetings and ...

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GRAND CHALLENGE: COMPUTATIONAL THERMODYNAMICS OF COMPLEX FLUIDS AND SOLIDS(UO 2 ) 2 (μ-OH) 2 (OH 2 ) 6 2+ ; see Figure 22), which have been shown to be the dominant Al(III) <strong>and</strong>U(VI) species <strong>for</strong> intermediate pH <strong>and</strong> concentration conditions (Richens 1997; Baes <strong>and</strong>Mesmer 1986; Soderholm et al. 2005; Clark et al. 1995). Their stability <strong>and</strong> chemistry influencetransport, the kinetics of reactions in the solution phase, <strong>and</strong> interactions with solid phases, suchas adsorption <strong>and</strong> other reactions in the interface region (Figure 23). The measurement of thestructural <strong>and</strong> reactive properties of these species is difficult because of their amorphous <strong>and</strong>fluxional nature (Soderholm et al. 2005; Clark et al. 1995).Fortunately, in recent years there has been a dramatic advance in both the theory available tocalculate the properties of complex many-body materials <strong>and</strong> in the per<strong>for</strong>mance ofcomputational plat<strong>for</strong>ms available <strong>for</strong> simulation. This was made possible by the DOE-sponsoredhigh per<strong>for</strong>mance light sources <strong>and</strong> new neutron sources (e.g., X-ray, EXAFS, HEXspectroscopy, neutron scattering) <strong>and</strong> by the development of high resolution measurements(Brown 2001; Soderholm et al. 2005). The challenge is to continue the remarkable developmentof these technologies which will lead to a new level of underst<strong>and</strong>ing <strong>and</strong> control of processes asdiverse as self-organization in colloids, the catalytic biochemistry of signal transmission ineukaryote cells, <strong>and</strong> the prediction of the chemistry that may occur under the extremetemperature <strong>and</strong> pressure conditions encountered in advanced nuclear power systems.The complexity of the processes of interest (e.g., accurate treatment of the highly correlated <strong>and</strong>poorly screened f <strong>and</strong> d electrons in actinide <strong>and</strong> transition metal elements, complex bondbreaking <strong>and</strong> <strong>for</strong>mation, changes in bond valance <strong>and</strong> polarization, etc.) requires reliablepredictions with simulation methods based on first-principles evaluation of <strong>for</strong>ces (thecalculation of <strong>for</strong>ces directly from the electronic Schrödinger equation) (Marx <strong>and</strong> Hutter 2000;Valiev et al. 2002). The problem is made more difficult by the amorphous structure of thespecies of interest (e.g., the solvated uranyl dimer illustrated in Figure 22; the absorbed speciesin Figure 23), thus requiring many atoms to provide a complete description of chemicalprocesses. Together these problems lead to a gr<strong>and</strong>-challenge-level computational problem.RESEARCH APPROACHESDynamical methods at the atomic time scale <strong>and</strong> upscalingCurrently the most efficient approximations to the solution of the electronic Schrödingerequation are based on the Density Functional Theory (DFT) approximation (Marx <strong>and</strong> Hutter2000; Valiev et al. 2002). While simulations with this approximation are very efficient <strong>and</strong> theresults adequate to provide reliable interpretations <strong>for</strong> many systems, there are limitations to themuch wider applications of these simulations to more realistic models of technology problems.The most important of these are:1. The DFT level of approximation to the electronic Schrödinger equation is not sufficientlyaccurate to treat many materials problems (energies <strong>and</strong> bonding in transition <strong>and</strong> actinideelements <strong>and</strong> long range (van der Waals) <strong>for</strong>ces).2. The scaling of existing solution methods is not sufficient to exploit the per<strong>for</strong>mance of thenext generation parallel computers (tens to hundreds of thous<strong>and</strong>s of processors).3. Even with the improvements in scaling of these methods, the particle <strong>and</strong> time scales ofmany interesting processes are orders of magnitude larger than can be directly simulated.70 <strong>Basic</strong> <strong>Research</strong> <strong>Needs</strong> <strong>for</strong> <strong>Geosciences</strong>: Facilitating 21 st Century Energy Systems

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