Atomistic Simulation of Nuclear Materials

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BEAR Launch 2013 24 th June 2013 Atomistic Simulation of Nuclear Materials Dr Mark S D Read School of Chemistry Nuclear Education and Research Centre www.chem.bham.ac.uk

Birmingham Centre for Nuclear Education and Research College of Engineering and Physical Sciences Chemistry Physics and Astronomy Metallurgy and Materials

Modelling: Importance to Nuclear Industry Atomistic Simulation: Materials Challenges Current Fission Reactors: Nuclear Fuel Performance and ageing phenomena prediction. UO 2 / MOX / Thoria(?) Radiation damage High Level Waste Encapsulation and Immobilization Predicting solution of interstitials and radioactive dopant ions. Predicting stability of ions and migration energies to surfaces/grain boundaries and radiation damage of host matrix Future Fusion Reactors: New materials Able to withstand higher temperature and neutron fluxes

Research Interests Fuel Performance Nuclear Waste Sensors Behaviour under irradiation Safe, controlled and predictable heat source Calculate intrinsic /extrinsic defect energies to predict transport of species to grain boundaries and fuel-clad gap. Modelling of fission gas bubbles Safe and Secure immobilization of high level radioactive waste in a form suitable for final disposal Simulations predict properties of candidate ceramic compositions as host matrices, tolerance to radiation damage and radionuclide transport characteristics Predicting formation energies of defects causing optical response Fundamental understanding of neutron radiation induced lattice effects Relate to mode of operation of sensor

Application and Relevance Overview Modelling augments experimental characterization NOT replace it! Can be thought of as an additional analytical technique. D8 Mott Littleton! 900 MHz, 21.2 T NMR

Time Scale Modelling scales and regimes Finite Element Analysis ms Mesoscale µs Atomistic Simulation Molecular Dynamics ns ps Quantum Mechanical Molecular Mechanics Å nm µm mm Size Domain

Nuclear Fuel Ceramic Fuels Advanced Gas Reactor (AGR) Moderator: Graphite Pressurized Water Reactor (PWR) Moderator: light water H 2 O Fuel: UO 2 with 2.5% 235 U enrichment Coolant: CO 2 (very weak moderator ) A second-generation UK-designed nuclear reactor employing vertical fuel channel design

Simulation of Uranium Dioxide Simulation of the bulk lattice Need to describe interatomic forces

Potential Models Simulation Methodology Atomistic approach to modelling crystal structure and properties involves: Interatomic potential functions simulating the forces acting between ions. Interatomic pair potentials can be written as: Coulombic Term Short range interactions attributed to the repulsion between electron charge clouds, van der Waals attraction Classical Born model framework of ionic interactions: A, ρ and C are variable parameters Empirically fitted to experiment Shell Model (polarization)

Empirical Fitting of U O Potential Employing GULP to Fit Parameters Simultaneously ------------------------------- Parameter Type Parameter Original ------------------------------- Buckingham A 1518.920000 Buckingham rho 0.382080 Spring k 2 94.240000 ------------------------------- ------------------------------- Parameter Type Parameter Final ------------------------------- Buckingham A 1507.182133 Buckingham rho 0.373145 Spring k 2 65.627688 ------------------------------- Crystal Structure GULP Elastic Constants cell 5.4682 5.4682 5.4682 90.0 90.0 90.0 fractional U core 0.00 0.00 0.00-2.54 0 0 0 O core 0.25 0.25 0.25 2.40 0 0 0 U shel 0.00 0.00 0.00 6.54 0 0 0 O shel 0.25 0.25 0.25-4.40 0 0 0 space 225 Dielectric Constants ---------------------------------------- Type Observable Weight ---------------------------------------- Elastic Const 389.300000 0.0100 Elastic Const 118.700000 0.0100 Elastic Const 59.700000 0.0100 High Freq DiC 5.300000 1.0000 Static Di C 24.000000 1.0000 ----------------------------------------

Parametric Study U - O C set to 0 A and r varied. Solutions for d = 0 identified by red diamonds.

Programme Drivers and Strategy Robust Simulation of Actinide Oxide Atomistic Regime Robust description of Bulk Lattice Surfaces Nanoparticles Surface defects Extended defects [a] P. Millet, Computational Materials Science 53 (2012) 31 36

Higher Order Surfaces # Lowest energy shift per Miller Index # index h k l Surface_Energy <4-55> Index 1 1 1 1.11561 Index 1 0 4 1.90954 Index 4-5 5 1.19276 Index 2 3 3 1.91579 Index 2-3 3 1.24479 Index 1 4 0 1.92097 Index 3-5 5 1.27550 Index 1 1 3 1.92818 Index 6 5-6 1.34829 Index 1-3 -6 1.92842 Index 2-5 -5 1.37917 Index 1 1-5 1.97931 Index 3 4 5 1.38527 Index 0 1 4 1.99825 Index -6 6 5 1.38794 Index 1 1-3 2.00320 Index 6-6 5 1.40633 Index 1 5 1 2.00526 Index -6 5 6 1.40881 Index 1 0-6 2.03147 Index 1 3 3 1.41022 Index 1 1 6 2.03747 Index 3 5-5 1.47694 Index 1 5-1 2.05252 Index 4-4 3 1.49566 Index 1 0-4 2.05506 Index 1 5 5 1.50669 Index 1 2 6 2.07281 Index 3-4 4 1.51483 Index 0 1-4 2.07560 Index 5 3-5 1.60875 Index 0-6 1 2.07736 Index 1 1 0 1.62201 Index 0 0 1 2.09124 Index 1 4-5 1.63955 Index 4 0 1 2.09575 Index 1-4 -5 1.63956 Index 0-4 1 2.11127 Index 1 5 6 1.64315 Index -6 1 1 2.11315 Index 1-2 -3 1.64449 Index 1-1 -4 2.16457 Index 4 5-5 1.65310 Index 1-5 0 2.17623 Index 1-2 1 1.65846 Index 1-1 -5 2.21188 Index 0 1-1 1.67691 Index 1 1 5 2.21805 Index 2 3 5 1.69731 Index 1 0-5 2.22785 Index 1 6 6 1.70165 Index 0-5 1 2.29404 Index 1 4 6 1.70968 Index -5 0 1 2.31452 Index 1-4 -4 1.71434 Index 1-6 0 2.33259 Index 5-6 6 1.71905 Index 0 1 2 2.33554 Index 1 3 5 1.72907 Index 0 6 1 2.36212 Index 1 2 2 1.75407 Index -5 1 0 2.36243 Index 1 2 4 1.80652 Index 0 1-5 2.37786 Index 1 1 2 1.82508 Index 1 6 0 2.38650 Index 1-4 0 1.86597 Index -6 0 1 2.38789 Index 1 2 5 1.87443 Index 1 0 6 2.39233 Index 1 5-2 1.87493 Index 0 1-6 2.39504 Index -6 1 0 2.40009 Index 0 1 3 2.40689 Index 0 1 6 2.41067 Index 6 0 1 2.43899

The value of the quartz is drastically increased by the presence of a relative small number of Fe 3+ ions! Quartz, SiO 2 doped with Fe 3+ ions from Fe 2 O 3.

Willis Cluster // O i U O Cluster Energy = -23.21 ev Binding Energy = -0.17 ev

Cluster Defects Investigating the Defect Chemistry Schottky Clusters 2 3 Second Oxygen Vacancy at 3 equivalent positions! 1 Second Oxygen Vacancy at position: Position Cluster Energy ev / Defect Binding Energy ev / Defect 1 1.54-1.08 2 1.50-1.12 3 1.69-0.93

Simulating MOX fuel MOX 25% (U 0.75 Pu 0.25 O 2 ) Mean Field Approach Supercell U 4+ Pu 4+ Ionic radius = 0.97 Å Ionic radius = 0.93 Å

Intrinsic disorder Cerium brannerite Schottky Vacancy M.C. Stennett, C.L. Freeman, A.S. Gandy, N.C. Hyatt, Journal of Solid State Chemistry 192 (2012) 172 178

Modelling Radiation Damage Unstable Pu nucleus within MOX fuel decays principally by a decay U range 12 nm a range 10 µm U 86 kev Recoil nucleus Pu a e - e - 5 MeV a particle He Cascade size 0.8 nm 256 Frenkel Pairs Cascade size 7.5 nm 2550 Frenkel Pairs

HPC Resource Birmingham Environment for Academic Research Blue BEAR Theoretical peak performance of the compute nodes = 848 (cores) * 2.2 (GHz) * 8 (floating point operations/cycle) = 15 TFlop/s 150 TB of user disc space with a sophisticated cluster filesystem. HPC service was completely replaced in December 2012. currently based an on an IBM idataplex HPC cluster with 800 Sandy Bridge based compute cores and other facilities such as large memory servers and a GPU-assisted compute node

HPC Resource MidPlus Regional HPC Centre A centre of excellence for computational science, engineering and mathematics Easy access to e-infrastructure, research and collaboration for business MidPlus is a collaborative partnership between four of the UK s leading universities: University of Warwick University of Birmingham University of Nottingham Queen Mary, University of London. Partnership brings together academic expertise and leading-edge facilities for computing capability and capacity, with an aim to facilitate the rapid realisation of modern computational research methods for business and industry. This regional HPC centre complements the BEAR facilities and adds additional resources for demands that cannot be met locally.

HPC Resource

Collaborators Acknowledgements Dr Rob Jackson Prof. Steve Parker (METADISE) Prof. Richard Catlow FRS Birmingham Environment for Academic Research