David-Alexander Robinson Sch., Trinity College Dublin Dr. Anderson Janotti Prof. Chris Van de Walle Computational Materials Group Materials Research Laboratory,

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Presentation transcript:

David-Alexander Robinson Sch., Trinity College Dublin Dr. Anderson Janotti Prof. Chris Van de Walle Computational Materials Group Materials Research Laboratory, UCSB

 Complex Oxide Perovskite Semiconductors; Crystals of the form ABO 3 A = Mono-, Di- or Trivalent element; Li, K, Mg, Ca, Sr, Ba, Sc, Y, La, Gd B = Transition Metal cation; Ti, Zr, Hf, Y, Nb, Ta or; Al, Ga, In  Implications? Explaining experimental results using fundamental theory. Novel electronic materials.  Transparent conductors; Wide Band-Gap Semiconductors. 2 SrTiO 3 Valence band maximum

 We wish to solve the many-electron quantum mechanical equations for the electronic structure of solids.  Hartree-Fock (HF) The many-electron wavefuntion is written as an anti-symmetric linear combination of single electron wavefunctions.  Density Functional Theory (DFT) Replaces the many-electron problem with a single-particle in an effective potential Nobel Prize awarded to Walter Kohn for his work on DFT.  Hybrid Functionals Heyd-Scuseria-Ernzerhof (HSE) Mixes both HF and DFT exchange potential to give a more accurate description of the electronic structure. 3

 Vienna Ab-initio Simulation Package (VASP) code A self-consistent iterative method which works to minimise the energy of the system by filling up electron bands and relaxing the lattice constant in turn Solves the quantum mechanical Schrödinger equation. The calculation uses First Principle methods and so no empirical input parameters are needed. 4  High Performance Computing California NanoSystems Institute (CNSI), UCSB. Lattice, Guild and Knot clusters. Lonestar Cluster, Texas Advanced Computing Center, U Texas.  Computer Programming Linux, bash, VI, XMGrace

5 a = nm ; E g = 1.65 eV a = nm ; E g = 3.70 eV a = nm ; E g = 3.18 eV SrTiO 3 SrHfO 3 SrZrO 3  Band Structure Plot Comparisons using GGA (General Gradient Approximation)

6 a = nm ; E g = 3.33 eV a = nm ; E g = 5.30 eV a = nm ; E g = 4.88 eV SrTiO 3 SrHfO 3 SrZrO 3  Band Structure Plot Comparisons using HSE ( Heyd-Scuseria-Ernzerhof )

7 a = nm; E g = 1.65 eV SrTiO 3 using GGA  HSE vs. GGA Accepted experimental values a = nm; E g = 3.25 eV a = nm ; E g = 3.33 eV SrTiO 3 using HSE

 Lattice Constants and Indirect R-Γ band gaps, using GGA and HSE On using HSE we get band gap widening of 1.54 ± 0.16 eV 8 Crystala (nm) [GGA] a (nm) [HSE] E g (eV) [GGA] E g (eV) [HSE] E g diff (eV) BaTiO BaZrO CaTiO GdAlO GdGaO LaAlO LaGaO MgTiO ScAlO SrTiO SrZrO YAlO

9 Electrostatic Potential, V  Band Alignment Calculations; Gives a Valence Band Offset of 0.44 eV Displacement, x LaAlO 3 -SrTiO 3

0.98 eV 0.57 eV Eg = 3.33 eV Eg = 4.88 eV Conduction Band Valence Band SrZrO 3 SrTiO 3 10  The Valence Band Offset is given by where VBM i is the Valance Band Maximum of material i, and is the Averaged Electrostatic Potential in the bulk region of an interface calculation.

 The electronic bandstructure of cubic perovskites were determined from first principles.  The valence bands of oxide perovskite are composed mostly of oxygen p-states.  The conduction bands are determined by the B-cation orbitals.  The use of hybrid functionals increase the band gaps by 1.54±0.16 eV.  Most of the band offsets are determined by the conduction bands. 11

 My supervisor Dr. Anderson Janotti and faculty advisor Prof. Chris Van de Walle  Daniel Steiauf, John Lyons, Cyrus Dreyer, Luke Gordon and all the other members of the Van de Walle Computational Materials Group.  The School of Physics, The University of Dublin, Trinity College and the SFI. 12

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