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    Introduction Computational Details Our Results Summary

    Adsorption characteristics of Thiophene on Cu andNi(100): role of van der Waals

    Tomas Rojas1

    , Jeronimo Matos1

    , Abdelkader Kara1

    1Physics Department, University of Central Florida

    American Physical Society, March Meeting, 2014

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    Introduction Computational Details Our Results Summary

    1 IntroductionMotivationExperimental Results

    2 Computational Details

    Calculation DetailsAdsorption Geometries

    3 Our ResultsAdsorption EnergiesAdsorption HeightsChanges Electronic StructureCharge Redistribution

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    Introduction Computational Details Our Results Summary

    Motivation

    Thiophene (C4H4S)is a flat 5-membered ring, aromaticmolecule.

    Density functional theory (DFT) framework did not includevdWinteraction until very recently.

    The main purpose is to evaluate its performancein theadsorption of organic molecules over metallic substrates usingvdW-dF.

    Cu(coinage metal) and Ni(reactive magnetic metal).

    Experimental Researchon Au(111), Cu[(100), (110)] , Pd[(100), (111)] , Ni(100), Pt [ (111), (100) ].

    Computational Researchon Cu(100), Ni(100) and Pd(100).

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    Introduction Computational Details Our Results Summary

    Experimental Results

    1 Imanishi, A., Yagi, S., & Yokoyama, T. (1996). Journal of Electron..., 80, 151154.

    I d i C i l D il O R l S

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    Introduction Computational Details Our Results Summary

    Calculation Details

    Vienna Ab-initio Simulation Package (VASP) 1

    Five vdW functionals: optB86b, optB88, optPBE, revPBEand rPW86. And their comparision with PBE. 23

    Substrates (100): 45 atom, 5 layer slab using periodic

    boundary conditions and a minimum of 21 of vacuum.The brillouin zone is sampled using 6x6x1 k-pointmeshes.

    Structural optimizationis performed for the molecule andsubstrate separately, followed by a relaxation of the combinedsystem with the last two layers of the substrate fixed.

    1G. Kresse and J. Furthmuller, Phys. Rev. B 54,11169 (1996).2J. Klime, D. Bowler, and A. Michaelides, (2011). Phys. Rev. B83(19),

    195131.3M. Dion et al. (2004). Phys. Rev. Letters, 92(24),246401.

    I t d ti C t ti l D t il O R lt S

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    Introduction Computational Details Our Results Summary

    Adsorption Geometries

    Introduction Computational Details Our Results Summary

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    Introduction Computational Details Our Results Summary

    Adsorption Energies

    Binding Energies

    Ead= EMolecule+ ESubstrate

    EMolecule/Substrate

    Introduction Computational Details Our Results Summary

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    Introduction Computational Details Our Results Summary

    Adsorption Heights

    Adsorption Heights

    Distance between the S atom and the closest metallic atom.

    Imanishi, A., Yagi, S., & Yokoyama, T. (1996). Journal ofElectron. . . , 80,151154.

    Introduction Computational Details Our Results Summary

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    Introduction Computational Details Our Results Summary

    Adsorption Heights

    C-S distance

    Distance between the S atom and the next C atom.

    Imanishi, A., Yagi, S., & Yokoyama, T. (1996). Journal ofElectron. . . , 80,151154.

    Introduction Computational Details Our Results Summary

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    Introduction Computational Details Our Results Summary

    Changes Electronic Structure

    Partial Density of States dz2 - Cu

    The dz2 is the most favorable to couple with the pz orbital of thesulfur atom.

    Introduction Computational Details Our Results Summary

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    p y

    Changes Electronic Structure

    Partial Density of States dz2 - Ni

    The dz2 is the most favorable to couple with the pz orbital of thesulfur atom.

    Introduction Computational Details Our Results Summary

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    p y

    Charge Redistribution

    Charge redistribution on Copper

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    Introduction Computational Details Our Results Summary

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    y

    Charge Redistribution

    Charge Transfer (Bader Analysis)

    Substrate Charge Transfer4 (e)

    Cu < 0.14Ni < 0.25

    4

    Tang, W., Sanville, E., & Henkelman, G. (2009). Condensed Matter : AnInstitute of Physics Journal, 21(8), 084204.

    Introduction Computational Details Our Results Summary

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    Charge Redistribution

    Ni Bridge 45

    5 6

    Rupture of the aromatic ring may have influence in the chargetranfer measurements.

    5

    Orita, H., & Itoh, N. (2004). Surface Science, 550(1-3), 177184.6Mittendorfer, F., & Hafner, J. (2001). Surface Science,492(1-2),2733.

    Introduction Computational Details Our Results Summary

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    Summary

    Opt-typefunctionals strongly enhance the adsorptionenergies, and reduce the adsorption heightson all surfaces.

    Changes in the binding energies on Niare significantly higherthan Cu.

    revPBE and rPW86functionals also increase the adsorptionenergies, less strongly than the opt-type functionals, and onlyforcoinage metals. This results from strong repulsive

    character at short distances.Charge redistributionis enhanced by opt-type compared torevPBE and rPW86 functionals.

    Introduction Computational Details Our Results Summary

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    Poster Session

    Session H1: Poster Session II (14:00 - 17:00) 2:00 PM,Tuesday, March 4, 2014 Room: Exhibit Hall F

    Abstract: An extensive computational study of theadsorption of thiophene on transition metal surfaces:

    role of van der Waals

    Authors: Tomas Rojas (Department of Physics, University of

    Central Florida), Abdelkader Kara (Department of Physics,University of Central Florida)

    Introduction Computational Details Our Results Summary

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    Acknowledgements

    This work was made possible by funding from the U.S.Department of Energy Grant No. DE-FG02-11ER16243

    The calculations were conducted using computational

    resources from NERSCTravel to the APS March Meeting made possible by fundingfrom UCF College of Graduate Studies and UCF StudentGovernment.

    Thank you to Dr. Handan Yildirim for helpful discussions andguidance.

    Thank you for your attention!

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