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FY2010 - Oak Ridge National Laboratory

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Seed Money Fund—<br />

Physics Division<br />

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<br />

Statistical analysis of these simulations, for thousand of impacts per a point in parametric space<br />

(energy, angle, particle, particle state), has led to the yields of the various dynamic processes, like<br />

reflection, transmission, sputtering, and sticking. In addition, the potential of graphene was mapped<br />

across the surface and the yields obtained were explained.<br />

Using tight-binding Density Functional Theory (DFT), the change in electronic structure was detected<br />

in the case of hydrogen molecules sticking to the graphehe sheet.<br />

05869<br />

Modeling of the Plasma-Material Interface<br />

Predrag S. Krstic, Paul R. Kent, Jeffrey H. Harris, Donald Lee Hillis, Fred W. Meyer, and<br />

Carlos O. Reinhold<br />

Project Description<br />

This project will develop an innovative theoretical-computational capability for simulations of processes<br />

at the Plasma Material Interface (PMI) to help guide research on present and future linear and toroidal<br />

PMI experiments. We envision development of a capability to build and validate predictive models for<br />

both ion-beam-surface interactions and more complex plasma-surface interactions. The leading<br />

component of the proposed research will be development of classical molecular dynamics interatomic<br />

potentials for fusion-relevant composite surfaces (Li, C, H) and (W, C, H, He) and their validation with<br />

the available experimental beam-surface interaction data. However, in case of Li-H-C (ionic solids) the<br />

quantum-classical approach is attempted (based on the tight-binding Density Functional Theory) to<br />

describe chemistry in the surface. In the transition to plasma irradiation studies, we will validate the<br />

models using the existing data from the plasma PMI machines, like PISCES B (UCSD), NSTX (PPPL),<br />

and beam surface experiments (Purdue).The work will provide a foundation for predictive science of the<br />

PMI and will integrate theory with available plasma surface and beam surface measurements to validate<br />

models for surface phenomena.<br />

Mission Relevance<br />

The walls of magnetic fusion reactors must sustain large particle and heat fluxes, which present a major<br />

challenge to achieving controlled fusion power. A recent panel report to the Fusion Energy Sciences<br />

Advisory Committee (FESAC07) found that of the top five critical knowledge gaps for fusion, four<br />

involve the PMI. Fusion community REsearch NEeds Workshops (RENEW09) in 2009 have<br />

recommended new PMI research programs and facilities to advance the science and technology of<br />

plasma-surface interactions. A valid simulation of the plasma-material interface in the big fusion reactors<br />

(ITER, DEMO) can save billions of dollars in the long term through a predictive scientific approach.<br />

Understanding the effects of energetic particles on materials is of great relevance to the Department of<br />

Defense (DOD), the <strong>National</strong> Aeronautics and Space Administration (NASA), and the Nuclear<br />

Regulatory Commission (NRC).<br />

Results and Accomplishments<br />

Although the project has been active less than 6 months in FY 2010, great progress has been made on the<br />

task for the first period, “Development and validation of potentials for the systems containing (Li, C, H).”<br />

The principal challenge for mixed materials with lithium is strong polarization (due to the low<br />

electronegativity of lithium in comparison to carbon and hydrogen), which in addition to the short-range<br />

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