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

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GRAND CHALLENGE: COMPUTATIONAL THERMODYNAMICS OF COMPLEX FLUIDS AND SOLIDSclustering, microcrystallization, defect structure, <strong>and</strong> other non-ideal properties. Of course, solidsunder extreme conditions of radiative flux or high temperatures or pressures can developnumerous internal defects. These systems are at best only at local equilibrium. Without a morerefined underst<strong>and</strong>ing of these materials on the atomic scale, it is difficult to reduce this behaviorto an EOS representation as required <strong>for</strong> the analysis of subsurface problems.Local thermodynamic EOS <strong>for</strong> colloids <strong>and</strong> surface adsorption. Typically colloidal particlessuspended in aqueous solutions contain hundreds of thous<strong>and</strong>s of atoms. For systems this largethe possibility of developing a finite system thermodynamic description should be investigated.As in infinite solid solution systems, the effects of clustering, local structure, <strong>and</strong> surfacecompositional variation are difficult to quantify. For these systems the large ratio of surface areato bulk volume should be included in a thermodynamic treatment. However, recent calculationsof the stability of atmospheric aerosols using models based on bulk thermodynamics have shownremarkable agreement with available measurements (Moller <strong>and</strong> Weare, unpublished results).The chemical interaction of the surface of aqueous colloidal particles with solutes <strong>and</strong> solventspecies (e.g., sorption, dehydration, surface reactions, etc.) may be simulated with the firstprinciplesmethods discussed above. Because of the complexity of the chemistry in the surfaceregion, many particles in the surface <strong>and</strong> interface must be included in the simulation. Whilesuch simulations are today limited to 500 or so particles, the processor scaling issues that arediscussed above as limitations are less of a problem if the system size is increased. This meansthat with the availability of many more processors with next generation computers, it will bepossible to treat on the order of 1000 particles using present software. Other ways to exp<strong>and</strong> thesize of the system without loss of accuracy, such as the QM/MM approach discussed above,should be explored. In addition there are ways to upscale time to provide rate in<strong>for</strong>mation usingfree energy simulations <strong>and</strong> transition state theory (Voter et al. 2002). Extensions of suchmethods should be explored to treat problems such as colloidal coarsening <strong>and</strong> surface structure(including local ordering) <strong>and</strong> chemical reactions at the interface.The state of species adsorbed on solid <strong>and</strong> colloidal surfaces <strong>and</strong> their chemistry is a problem ofgreat importance to solute transport, mineral <strong>for</strong>mation <strong>and</strong> dissolution, oxidation <strong>and</strong> reductionof solute species, etc. To treat these systems, quasi-thermodynamic models of surfacecomplexation have been invoked on an ad hoc basis (Dzombak <strong>and</strong> Morel 1990). These modelswork remarkably well when there are sufficient data <strong>for</strong> parameterization. With the developmentof the new surface probes discussed above, a much more precise, atomic-level view of thesurface interface region is becoming available. This is again a fertile region <strong>for</strong> the application offirst-principles methods of simulation using the QM/MM methods described above. As in theother areas in which these methods might be applied, the objective of these calculations is thedevelopment of an atom-based structural <strong>and</strong> dynamic view of the interface region (effects oflocal structure <strong>and</strong> defect structure as adsorption sites, <strong>for</strong>mation of surface isl<strong>and</strong>s; seeFigure 23). This level of underst<strong>and</strong>ing would be used to develop more accuratephenomenological models <strong>for</strong> the interface region.Data collection vs. molecular simulation <strong>for</strong> EOS development. It is important to emphasize that<strong>for</strong> reliable application to real problems, EOS must be parameterized from the largest data setspossible in intensive parameter regions close to the region of application. This is because highaccuracy, theoretically-based EOS with good extrapolation properties are not available <strong>for</strong> even<strong>Basic</strong> <strong>Research</strong> <strong>Needs</strong> <strong>for</strong> <strong>Geosciences</strong>: Facilitating 21 st Century Energy Systems 77

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