Ab initio Berechungen für Datenbanken

Size: px
Start display at page:

Download "Ab initio Berechungen für Datenbanken"

Transcription

1 J

2 Ab initio Berechungen für Datenbanken Jörg Neugebauer University of Paderborn Lehrstuhl Computational Materials Science Computational Materials Science Group CMS Group

3 Scaling Problem in Modeling length (m) dislocations interfaces point defects chemical bonds Phenomenological approaches: FEM materials properties Phase fields crystal growth : growth mechanism microstructure formation time (s)

4 Scaling Problem in Modeling length (m) dislocations interfaces point defects chemical bonds Free energy: growth mechanism microstructure formation 2 F = ε φ + f φ, T, cα, σ, V Phenomenological approaches: FEM materials properties Phase fields crystal growth : ( ) dv 1 empirical, fitted parameters/functions 10 3 time (s)

5 Atomistic picture: Ab initio Description r 1,e r 2,e Rr 1, Z 1 R r 2, Z 2 Hamiltonian: H = T el + T ion I r I, i R I Z r i i, j i j 1 r r i j i, j i j 1 r r R I R J e-ion e-e Ion-Ion Solve Schrödinger equation: HΨ = EΨ r r r ( ) Ultimate information: E Ψ R, KR, r, r, K,, 1 M 1 2 r N Advantage: Free of adjustable/empirical parameters (ab initio) r r

6 Scaling Problem in Modeling length (m) 1 Phenomenological approaches: FEM materials properties Phase fields crystal growth : 10 Density-Functional Al (111) -3 Theory: microstructure 2 h r 2 ext r H r xc r formation r r + v ( ;{ RI, Z I }) + v [ n( )] + v [ n( )] ϕ i ( ) = ε iϕi ( ) me dislocations interfaces growth material point defects mechanism universal 10-9 r functional DFT chemical bonds ({ R Z }) E, tot I I Energy barrier Phase II -3 Phase I 1 x int 10 3 time (s)

7 Scaling Problem in Modeling length (m) DFT dislocations interfaces point defects ~2050 ~2020 growth mechanism microstructure formation materials properties crystal growth time (s)

8 Scaling Problem in Modeling length (m) DFT dislocations interfaces point defects Phenomenological approaches: FEM materials properties Phase fields crystal growth : microstructure formation How to growth bridge mechanism length and time scales? time (s)

9 Ab initio based Multiscale Simulations Continuum models Thermodyn. Kinetics Strain Electr. struct. DFT: E tot ({R I }), ε i, φ i DFT code library: SFHIngX (

10 Potential Energy Surfaces Example: Crystal Structure of Aluminum reaction coordinates: angle length

11 Potential Energy Surfaces Example: Aluminum bcc fcc Energy [H] lattice constant [Bohr] Angle between lattice vectors

12 Potential Energy Surfaces Example: Aluminum Angle between lattice vectors fcc barrier bcc Angle between lattice vectors

13 Application: Phonon Dispersion Example: Aluminum

14 Ab initio based Multiscale Simulations Continuum models Thermodyn. Kinetics Strain Electr. struct. DFT: E tot ({R I }), ε i, φ i DFT code library: SFHIngX (

15 Method: Ab initio Thermodynamics Key: Calculate partition function DFT = r BO E RI Z( V, T) e r R { } I V ({ } ) V / k Experiment B T Z Phase ( V, T) = N deg e E tot r Phase { } vib R I V / kbt E { R } I e r { R } I V r Phase V / k B T F(V,T) = k B T ln G ( p, T ) = F V, T + n G(A ) µ A = n { Z(V,T) } ( ) pv T,p equil. config. D I, J E = tot u ({ r } ) Phase R I I u V vibronic config. J

16 Diluted Alloys Example: Mg in GaN Solubility/ Miscibility: Mg 3 N 2 Mg bulk µ Mg µ Ga Incorporation on other sites: Mg Ga Mg N Mg i

17 Intrinsic Solubility/Doping Efficiency Formation Energy (ev) Formation Energies: V N Mg Ga Fermi Energy (ev) Concentration (log 10 cm -3 ) Defect Concentrations: Mg Ga V N Temperature (K) Strong compensation at characteristic growth temperatures! very limited doping efficiency J. Neugebauer and C. Van de Walle, Appl. Phys. Lett. 68, 1829 (1996)

18 Co-Doping Example: Co-doping with hydrogen Formation Energy (ev) Formation Energies: V N H + Mg Ga Fermi Energy (ev) Concentration (log 10 cm -3 ) Defect Concentrations: 22 H free case 20 H-rich conditions Mg Ga H V N Temperature (K) Co-Doping: significantly increases dopant concentration significantly suppresses defect formation But: fully compensated material J. Neugebauer and C. Van de Walle, Appl. Phys. Lett. 68, 1829 (1996)

19

20

21

22

23

24

25

26

27

28

29 Example: Dislocations

30 Example: Dislocations continuum elastic theory emp. pot. DFT Main Main challenge: How How to to connect zones zones at at boundaries? New New approach: Projection method without explicit boundaries!

31 Comparison with Experiment Theory Experiment L. Lymperakis, J. Neugebauer, M. Albrecht, H. Strunk, PRL in print. EC-TMR Project: IPAM

32

33

34 J

Why thermodynamics for materials?

Why thermodynamics for materials? Why thermodynamics for materials? Example p 2mkT T For = 300 K, = 1 atm ~ 10 8 site -1 s -1 p p Requires 10-12 atm to keep a clean surface clean; surface can also lose atoms Example Thermodynamic potentials

More information

SMARTMET project: Towards breaking the inverse ductility-strength relation

SMARTMET project: Towards breaking the inverse ductility-strength relation SMARTMET project: Towards breaking the inverse ductility-strength relation B. Grabowski, C. Tasan SMARTMET ERC advanced grant 3.8 Mio Euro for 5 years (Raabe/Neugebauer) Adaptive Structural Materials group

More information

EFFECTS OF STOICHIOMETRY ON POINT DEFECTS AND IMPURITIES IN GALLIUM NITRIDE

EFFECTS OF STOICHIOMETRY ON POINT DEFECTS AND IMPURITIES IN GALLIUM NITRIDE EFFECTS OF STOICHIOMETRY ON POINT DEFECTS AND IMPURITIES IN GALLIUM NITRIDE C. G. VAN DE WALLE AND J. E. NORTHRUP Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto, CA 930, USA E-mail: vandewalle@parc.com

More information

Defects and diffusion in metal oxides: Challenges for first-principles modelling

Defects and diffusion in metal oxides: Challenges for first-principles modelling Defects and diffusion in metal oxides: Challenges for first-principles modelling Karsten Albe, FG Materialmodellierung, TU Darmstadt Johan Pohl, Peter Agoston, Paul Erhart, Manuel Diehm FUNDING: ICTP Workshop

More information

Bulk Structures of Crystals

Bulk Structures of Crystals Bulk Structures of Crystals 7 crystal systems can be further subdivided into 32 crystal classes... see Simon Garrett, "Introduction to Surface Analysis CEM924": http://www.cem.msu.edu/~cem924sg/lecturenotes.html

More information

Rustam Z. Khaliullin University of Zürich

Rustam Z. Khaliullin University of Zürich Rustam Z. Khaliullin University of Zürich Molecular dynamics (MD) MD is a computational method for simulating time evolution of a collection of interacting atoms by numerically integrating Newton s equation

More information

DFT modeling of novel materials for hydrogen storage

DFT modeling of novel materials for hydrogen storage DFT modeling of novel materials for hydrogen storage Tejs Vegge 1, J Voss 1,2, Q Shi 1, HS Jacobsen 1, JS Hummelshøj 1,2, AS Pedersen 1, JK Nørskov 2 1 Materials Research Department, Risø National Laboratory,

More information

Density Functional Modeling of Nanocrystalline Materials

Density Functional Modeling of Nanocrystalline Materials Density Functional Modeling of Nanocrystalline Materials A new approach for modeling atomic scale properties in materials Peter Stefanovic Supervisor: Nikolas Provatas 70 / Part 1-7 February 007 Density

More information

Free energy sampling for electrochemical systems

Free energy sampling for electrochemical systems Free energy sampling for electrochemical systems Mira Todorova, Anoop Kishore Vatti, Suhyun Yoo and Jörg Neugebauer Department of Computational Materials Design Düsseldorf, Germany m.todorova@mpie.de IPAM,

More information

Dislocations in graphene

Dislocations in graphene Dislocations in graphene M. Ortiz California Institute of Technology In collaboration with: M.P. Ariza, Universidad de Sevilla Symposium on Multiscale Dislocation Dynamics UCSD, La Jolla, January 16-17,

More information

Band calculations: Theory and Applications

Band calculations: Theory and Applications Band calculations: Theory and Applications Lecture 2: Different approximations for the exchange-correlation correlation functional in DFT Local density approximation () Generalized gradient approximation

More information

Teoría del Funcional de la Densidad (Density Functional Theory)

Teoría del Funcional de la Densidad (Density Functional Theory) Teoría del Funcional de la Densidad (Density Functional Theory) Motivation: limitations of the standard approach based on the wave function. The electronic density n(r) as the key variable: Functionals

More information

Basic cell design. Si cell

Basic cell design. Si cell Basic cell design Si cell 1 Concepts needed to describe photovoltaic device 1. energy bands in semiconductors: from bonds to bands 2. free carriers: holes and electrons, doping 3. electron and hole current:

More information

Three Most Important Topics (MIT) Today

Three Most Important Topics (MIT) Today Three Most Important Topics (MIT) Today Electrons in periodic potential Energy gap nearly free electron Bloch Theorem Energy gap tight binding Chapter 1 1 Electrons in Periodic Potential We now know the

More information

Electrochemistry project, Chemistry Department, November Ab-initio Molecular Dynamics Simulation

Electrochemistry project, Chemistry Department, November Ab-initio Molecular Dynamics Simulation Electrochemistry project, Chemistry Department, November 2006 Ab-initio Molecular Dynamics Simulation Outline Introduction Ab-initio concepts Total energy concepts Adsorption energy calculation Project

More information

Igor A. Abrikosov Department of Physics, Chemistry, and Biology (IFM), Linköping University, Sweden

Igor A. Abrikosov Department of Physics, Chemistry, and Biology (IFM), Linköping University, Sweden Correlation between electronic structure, magnetism and physical properties of Fe-Cr alloys: ab initio modeling Igor A. Abrikosov Department of Physics, Chemistry, and Biology (IFM), Linköping University,

More information

Multi-Scale Modeling from First Principles

Multi-Scale Modeling from First Principles m mm Multi-Scale Modeling from First Principles μm nm m mm μm nm space space Predictive modeling and simulations must address all time and Continuum Equations, densityfunctional space scales Rate Equations

More information

An EAM potential for the dynamical simulation of Ni-Al alloys

An EAM potential for the dynamical simulation of Ni-Al alloys J. At. Mol. Sci. doi: 10.4208/jams.022310.031210a Vol. 1, No. 3, pp. 253-261 August 2010 An EAM potential for the dynamical simulation of Ni-Al alloys Jian-Hua Zhang, Shun-Qing Wu, Yu-Hua Wen, and Zi-Zhong

More information

Kinetic lattice Monte Carlo simulations of diffusion processes in Si and SiGe alloys

Kinetic lattice Monte Carlo simulations of diffusion processes in Si and SiGe alloys Kinetic lattice Monte Carlo simulations of diffusion processes in Si and SiGe alloys, Scott Dunham Department of Electrical Engineering Multiscale Modeling Hierarchy Configuration energies and transition

More information

Electronic Structure Theory for Periodic Systems: The Concepts. Christian Ratsch

Electronic Structure Theory for Periodic Systems: The Concepts. Christian Ratsch Electronic Structure Theory for Periodic Systems: The Concepts Christian Ratsch Institute for Pure and Applied Mathematics and Department of Mathematics, UCLA Motivation There are 10 20 atoms in 1 mm 3

More information

Supplementary Information

Supplementary Information Supplementary Information Supplementary Figure 1: Electronic Kohn-Sham potential profile of a charged monolayer MoTe 2 calculated using PBE-DFT. Plotted is the averaged electronic Kohn- Sham potential

More information

From Atoms to Materials: Predictive Theory and Simulations

From Atoms to Materials: Predictive Theory and Simulations From Atoms to Materials: Predictive Theory and Simulations Week 3 Lecture 4 Potentials for metals and semiconductors Ale Strachan strachan@purdue.edu School of Materials Engineering & Birck anotechnology

More information

Prerequisites for reliable modeling with first-principles methods. P. Kratzer Fritz-Haber-Institut der MPG D Berlin-Dahlem, Germany

Prerequisites for reliable modeling with first-principles methods. P. Kratzer Fritz-Haber-Institut der MPG D Berlin-Dahlem, Germany Prerequisites for reliable modeling with first-principles methods P. Kratzer Fritz-Haber-Institut der MPG D-14195 Berlin-Dahlem, Germany Prerequisites for modeling (I) Issues to consider when applying

More information

6. Computational Design of Energy-related Materials

6. Computational Design of Energy-related Materials 6. Computational Design of Energy-related Materials Contents 6.1 Atomistic Simulation Methods for Energy Materials 6.2 ab initio design of photovoltaic materials 6.3 Solid Ion Conductors for Fuel Cells

More information

New Material Design and Device Simulation Tool. Dr. Gong Kui HZWTECH

New Material Design and Device Simulation Tool. Dr. Gong Kui HZWTECH New Material Design and Device Simulation Tool Dr. Gong Kui HZWTECH 鸿之微科技 ( 上海 ) 股份有限公司 HONGZHIWEI TECHNOLOGY(SHANGHAI) CO.,LTD outline Atomistic-TCAD:new devices simulation tool Applications of Atomistic-TCAD

More information

First-principles based design of Pt- and Pd-based catalysts for benzene hydrogenation

First-principles based design of Pt- and Pd-based catalysts for benzene hydrogenation 1 1 First-principles based design of Pt- and Pd-based catalysts for benzene hydrogenation Maarten K. Sabbe, Gonzalo Canduela, Marie- Françoise Reyniers, Guy B. Marin Introduction: benzene hydrogenation

More information

First principle calculations of plutonium and plutonium compounds: part 1

First principle calculations of plutonium and plutonium compounds: part 1 First principle calculations of plutonium and plutonium compounds: part 1 A. B. Shick Institute of Physics ASCR, Prague, CZ Outline: u Lecture 1: Methods of Correlated band theory DFT and DFT+U u Lecture

More information

Outline. Introduction: graphene. Adsorption on graphene: - Chemisorption - Physisorption. Summary

Outline. Introduction: graphene. Adsorption on graphene: - Chemisorption - Physisorption. Summary Outline Introduction: graphene Adsorption on graphene: - Chemisorption - Physisorption Summary 1 Electronic band structure: Electronic properties K Γ M v F = 10 6 ms -1 = c/300 massless Dirac particles!

More information

FYS Vår 2014 (Kondenserte fasers fysikk)

FYS Vår 2014 (Kondenserte fasers fysikk) FYS3410 - Vår 014 (Kondenserte fasers fysikk) http://www.uio.no/studier/emner/matnat/fys/fys3410/v14/index.html Pensum: Solid State Physics by Philip Hofmann (Chapters 1-7 and 11) Andrej Kuznetsov delivery

More information

PREDICTION OF THERMODYNAMIC STABILITY OF METAL/OXIDE INTERFACE

PREDICTION OF THERMODYNAMIC STABILITY OF METAL/OXIDE INTERFACE PREDICTION OF THERMODYNAMIC STABILITY OF METAL/OXIDE INTERFACE 14 Sept 010 Hong Mei Jin Ping Wu wuping@ihpc.a-star.edu.sg Institute of High Performance Computing Singapore Computational Materials Science

More information

Density-functional theory of superconductivity

Density-functional theory of superconductivity Density-functional theory of superconductivity E. K. U. Gross MPI for Microstructure Physics Halle http://users.physi.fu-berlin.de/~ag-gross CO-WORKERS: HALLE A. Sanna C. Bersier A. Linscheid H. Glawe

More information

The electronic structure of materials 1

The electronic structure of materials 1 Quantum mechanics 2 - Lecture 9 December 18, 2013 1 An overview 2 Literature Contents 1 An overview 2 Literature Electronic ground state Ground state cohesive energy equilibrium crystal structure phase

More information

First-principles studies of beryllium doping of GaN

First-principles studies of beryllium doping of GaN PHYSICAL REVIEW B, VOLUME 63, 24525 First-principles studies of beryllium doping of GaN Chris G. Van de Walle * and Sukit Limpijumnong Xerox Palo Alto Research Center, 3333 Coyote Hill Road, Palo Alto,

More information

MECHANICS OF CARBON NANOTUBE BASED COMPOSITES WITH MOLECULAR DYNAMICS AND MORI TANAKA METHODS. Vinu Unnithan and J. N. Reddy

MECHANICS OF CARBON NANOTUBE BASED COMPOSITES WITH MOLECULAR DYNAMICS AND MORI TANAKA METHODS. Vinu Unnithan and J. N. Reddy MECHANICS OF CARBON NANOTUBE BASED COMPOSITES WITH MOLECULAR DYNAMICS AND MORI TANAKA METHODS Vinu Unnithan and J. N. Reddy US-South American Workshop: Mechanics and Advanced Materials Research and Education

More information

ELECTRONIC STRUCTURE OF MAGNESIUM OXIDE

ELECTRONIC STRUCTURE OF MAGNESIUM OXIDE Int. J. Chem. Sci.: 8(3), 2010, 1749-1756 ELECTRONIC STRUCTURE OF MAGNESIUM OXIDE P. N. PIYUSH and KANCHAN LATA * Department of Chemistry, B. N. M. V. College, Sahugarh, MADHIPUR (Bihar) INDIA ABSTRACT

More information

Damping of magnetization dynamics

Damping of magnetization dynamics Damping of magnetization dynamics Andrei Kirilyuk! Radboud University, Institute for Molecules and Materials, Nijmegen, The Netherlands 1 2 Landau-Lifshitz equation N Heff energy gain:! torque equation:

More information

Chemical reactions as network of rare events: Kinetic MonteCarlo

Chemical reactions as network of rare events: Kinetic MonteCarlo Chemical reactions as network of rare events: Kinetic MonteCarlo Extending the scale Length (m) 1 10 3 Potential Energy Surface: {Ri} 10 6 (3N+1) dimensional 10 9 E Thermodynamics: p, T, V, N continuum

More information

ab initio Lattice Vibrations: Calculating the Thermal Expansion Coeffcient Felix Hanke & Martin Fuchs June 30, 2009 This afternoon s plan

ab initio Lattice Vibrations: Calculating the Thermal Expansion Coeffcient Felix Hanke & Martin Fuchs June 30, 2009 This afternoon s plan ab initio Lattice Vibrations: Calculating the Thermal Expansion Coeffcient Felix Hanke & Martin Fuchs June 3, 29 This afternoon s plan introductory talk Phonons: harmonic vibrations for solids Phonons:

More information

Lecture 4: Band theory

Lecture 4: Band theory Lecture 4: Band theory Very short introduction to modern computational solid state chemistry Band theory of solids Molecules vs. solids Band structures Analysis of chemical bonding in Reciprocal space

More information

Integrated Computational Materials Engineering Education

Integrated Computational Materials Engineering Education Integrated Computational Materials Engineering Education Lecture on Density Functional Theory An Introduction Mark Asta Dept. of Materials Science and Engineering, University of California, Berkeley &

More information

QUANTUM WELLS, WIRES AND DOTS

QUANTUM WELLS, WIRES AND DOTS QUANTUM WELLS, WIRES AND DOTS Theoretical and Computational Physics of Semiconductor Nanostructures Second Edition Paul Harrison The University of Leeds, UK /Cf}\WILEY~ ^INTERSCIENCE JOHN WILEY & SONS,

More information

Search for materials to harvest light

Search for materials to harvest light Solar nanocomposites with complementary charge extraction pathways for electrons and holes: Si embedded in ZnS S. Wippermann, M. Vörös, F. Gygi, A. Gali, G. Zimanyi, G. Galli NanoMatFutur DPG-2014, 04/03/2014

More information

Electronic-structure calculations at macroscopic scales

Electronic-structure calculations at macroscopic scales Electronic-structure calculations at macroscopic scales M. Ortiz California Institute of Technology In collaboration with: K. Bhattacharya, V. Gavini (Caltech), J. Knap (LLNL) BAMC, Bristol, March, 2007

More information

Minimal Update of Solid State Physics

Minimal Update of Solid State Physics Minimal Update of Solid State Physics It is expected that participants are acquainted with basics of solid state physics. Therefore here we will refresh only those aspects, which are absolutely necessary

More information

Time-dependent density functional theory

Time-dependent density functional theory Time-dependent density functional theory E.K.U. Gross Max-Planck Institute for Microstructure Physics OUTLINE LECTURE I Phenomena to be described by TDDFT Some generalities on functional theories LECTURE

More information

PHYS208 P-N Junction. Olav Torheim. May 30, 2007

PHYS208 P-N Junction. Olav Torheim. May 30, 2007 1 PHYS208 P-N Junction Olav Torheim May 30, 2007 1 Intrinsic semiconductors The lower end of the conduction band is a parabola, just like in the quadratic free electron case (E = h2 k 2 2m ). The density

More information

Mat E 272 Lecture 25: Electrical properties of materials

Mat E 272 Lecture 25: Electrical properties of materials Mat E 272 Lecture 25: Electrical properties of materials December 6, 2001 Introduction: Calcium and copper are both metals; Ca has a valence of +2 (2 electrons per atom) while Cu has a valence of +1 (1

More information

Phonon wavefunctions and electron phonon interactions in semiconductors

Phonon wavefunctions and electron phonon interactions in semiconductors Phonon wavefunctions and electron phonon interactions in semiconductors Bartomeu Monserrat bm418@cam.ac.uk University of Cambridge Quantum Monte Carlo in the Apuan Alps VII QMC in the Apuan Alps VII Bartomeu

More information

An Atomistic-based Cohesive Zone Model for Quasi-continua

An Atomistic-based Cohesive Zone Model for Quasi-continua An Atomistic-based Cohesive Zone Model for Quasi-continua By Xiaowei Zeng and Shaofan Li Department of Civil and Environmental Engineering, University of California, Berkeley, CA94720, USA Extended Abstract

More information

Modeling Transport in Heusler-based Spin Devices

Modeling Transport in Heusler-based Spin Devices Modeling Transport in Heusler-based Spin Devices Gautam Shine (Stanford) S. Manipatruni, A. Chaudhry, D. E. Nikonov, I. A. Young (Intel) Electronic Structure Extended Hückel theory Application to Heusler

More information

Extrinsic Point Defects: Impurities

Extrinsic Point Defects: Impurities Extrinsic Point Defects: Impurities Substitutional and interstitial impurities Sol solutions, solubility limit Entropy of ing, eal solution model Enthalpy of ing, quasi-chemical model Ideal and regular

More information

PHYSICS OF SEMICONDUCTORS AND THEIR HETEROSTRUCTURES

PHYSICS OF SEMICONDUCTORS AND THEIR HETEROSTRUCTURES PHYSICS OF SEMICONDUCTORS AND THEIR HETEROSTRUCTURES Jasprit Singh University of Michigan McGraw-Hill, Inc. New York St. Louis San Francisco Auckland Bogota Caracas Lisbon London Madrid Mexico Milan Montreal

More information

Thermoelectrics: A theoretical approach to the search for better materials

Thermoelectrics: A theoretical approach to the search for better materials Thermoelectrics: A theoretical approach to the search for better materials Jorge O. Sofo Department of Physics, Department of Materials Science and Engineering, and Materials Research Institute Penn State

More information

Electronic State Calculation for Hydrogen Atom under Inhomogeneous Field

Electronic State Calculation for Hydrogen Atom under Inhomogeneous Field 26 Special Issue Multiscale Simulations for Materials Research Report Electronic State Calculation for Hydrogen Atom under Inhomogeneous Field Shunsuke Yamakawa and Shi-aki Hyodo We discuss herein the

More information

Single Crystal Gradient Plasticity Part I

Single Crystal Gradient Plasticity Part I Chair for Continuum Mechanics Institute of Engineering Mechanics (Prof. Böhlke) Department of Mechanical Engineering S. Wulfinghoff, T. Böhlke, E. Bayerschen Single Crystal Gradient Plasticity Part I Chair

More information

First-principles modeling: The evolution of the field from Walter Kohn s seminal work to today s computer-aided materials design

First-principles modeling: The evolution of the field from Walter Kohn s seminal work to today s computer-aided materials design First-principles modeling: The evolution of the field from Walter Kohn s seminal work to today s computer-aided materials design Peter Kratzer 5/2/2018 Peter Kratzer Abeokuta School 5/2/2018 1 / 34 Outline

More information

Supporting Online Material (1)

Supporting Online Material (1) Supporting Online Material The density functional theory (DFT) calculations were carried out using the dacapo code (http://www.fysik.dtu.dk/campos), and the RPBE (1) generalized gradient correction (GGA)

More information

Supporting Information

Supporting Information Supporting Information Conversion of multilayer graphene into continuous ultrathin sp 3 - bonded carbon films on metal surfaces Dorj Odkhuu 1, Dongbin Shin 2, Rodney S. Ruoff 3, and Noejung Park 1,2 1

More information

IAP 2006: From nano to macro: Introduction to atomistic modeling techniques and application in a case study of modeling fracture of copper (1.

IAP 2006: From nano to macro: Introduction to atomistic modeling techniques and application in a case study of modeling fracture of copper (1. IAP 2006: From nano to macro: Introduction to atomistic modeling techniques and application in a case study of modeling fracture of copper (1.978 PDF) http://web.mit.edu/mbuehler/www/teaching/iap2006/intro.htm

More information

Southeast University, Nanjing, China 2 Department of Applied Physics, Aalto University,

Southeast University, Nanjing, China 2 Department of Applied Physics, Aalto University, Supplementary Information to Solubility of Boron, Carbon and Nitrogen in Transition Metals: Getting Insight into Trends from First-Principles Calculations Xiaohui Hu, 1,2 Torbjörn Björkman 2,3, Harri Lipsanen

More information

Introduction to Computational Materials Science

Introduction to Computational Materials Science Introduction to Computational Materials Science Fundamentals to Applications RICHARD LESAR lowa State University.CAMBRIDGE ::: UNIVERSITY PRESS CONTENTS Preface 1 Introduction to materials modeling and

More information

Complementary approaches to high T- high p crystal structure stability and melting!

Complementary approaches to high T- high p crystal structure stability and melting! Complementary approaches to high T- high p crystal structure stability and melting! Dario ALFÈ Department of Earth Sciences & Department of Physics and Astronomy, Thomas Young Centre@UCL & London Centre

More information

Lecture 10. Transition probabilities and photoelectric cross sections

Lecture 10. Transition probabilities and photoelectric cross sections Lecture 10 Transition probabilities and photoelectric cross sections TRANSITION PROBABILITIES AND PHOTOELECTRIC CROSS SECTIONS Cross section = σ = Transition probability per unit time of exciting a single

More information

The Projector Augmented Wave method

The Projector Augmented Wave method The Projector Augmented Wave method Advantages of PAW. The theory. Approximations. Convergence. 1 The PAW method is... What is PAW? A technique for doing DFT calculations efficiently and accurately. An

More information

Introduction to Density Functional Theory with Applications to Graphene Branislav K. Nikolić

Introduction to Density Functional Theory with Applications to Graphene Branislav K. Nikolić Introduction to Density Functional Theory with Applications to Graphene Branislav K. Nikolić Department of Physics and Astronomy, University of Delaware, Newark, DE 19716, U.S.A. http://wiki.physics.udel.edu/phys824

More information

Branislav K. Nikolić

Branislav K. Nikolić First-principles quantum transport modeling of thermoelectricity in nanowires and single-molecule nanojunctions Branislav K. Nikolić Department of Physics and Astronomy, University of Delaware, Newark,

More information

FYS Vår 2017 (Kondenserte fasers fysikk)

FYS Vår 2017 (Kondenserte fasers fysikk) FYS3410 - Vår 2017 (Kondenserte fasers fysikk) http://www.uio.no/studier/emner/matnat/fys/fys3410/v16/index.html Pensum: Introduction to Solid State Physics by Charles Kittel (Chapters 1-9, 11, 17, 18,

More information

Structure of Cement Phases from ab initio Modeling Crystalline C-S-HC

Structure of Cement Phases from ab initio Modeling Crystalline C-S-HC Structure of Cement Phases from ab initio Modeling Crystalline C-S-HC Sergey V. Churakov sergey.churakov@psi.ch Paul Scherrer Institute Switzerland Cement Phase Composition C-S-H H Solid Solution Model

More information

SCIENCE CHINA Physics, Mechanics & Astronomy

SCIENCE CHINA Physics, Mechanics & Astronomy SCIENCE CHINA Physics, Mechanics & Astronomy Article April 2012 Vol.55 No.4: 614 618 doi: 10.1007/s11433-012-4679-8 Stability and diffusion properties of self-interstitial atoms in tungsten: a first-principles

More information

Introduction to materials modeling and simulation

Introduction to materials modeling and simulation 1 Introduction to materials modeling and simulation With the development of inexpensive, yet very fast, computers and the availability of software for many applications, computational modeling and simulation

More information

Energy Spectroscopy. Ex.: Fe/MgO

Energy Spectroscopy. Ex.: Fe/MgO Energy Spectroscopy Spectroscopy gives access to the electronic properties (and thus chemistry, magnetism,..) of the investigated system with thickness dependence Ex.: Fe/MgO Fe O Mg Control of the oxidation

More information

The Semiconductor in Equilibrium

The Semiconductor in Equilibrium Lecture 6 Semiconductor physics IV The Semiconductor in Equilibrium Equilibrium, or thermal equilibrium No external forces such as voltages, electric fields. Magnetic fields, or temperature gradients are

More information

Lecture 2. Unit Cells and Miller Indexes. Reading: (Cont d) Anderson 2 1.8,

Lecture 2. Unit Cells and Miller Indexes. Reading: (Cont d) Anderson 2 1.8, Lecture 2 Unit Cells and Miller Indexes Reading: (Cont d) Anderson 2 1.8, 2.1-2.7 Unit Cell Concept The crystal lattice consists of a periodic array of atoms. Unit Cell Concept A building block that can

More information

Novel High-Efficiency Crystalline-Si-Based Compound. Heterojunction Solar Cells: HCT (Heterojunction with Compound. Thin-layer)

Novel High-Efficiency Crystalline-Si-Based Compound. Heterojunction Solar Cells: HCT (Heterojunction with Compound. Thin-layer) Electronic Supplementary Material (ESI) for Physical Chemistry Chemical Physics. This journal is the Owner Societies 2014 Supplementary Information for Novel High-Efficiency Crystalline-Si-Based Compound

More information

Some Review & Introduction to Solar PV

Some Review & Introduction to Solar PV 1.021, 3.021, 10.333, 22.00 : Introduction to Modeling and Simulation : Spring 2012 Part II Quantum Mechanical Methods : Lecture 9 Some Review & Introduction to Solar PV Jeffrey C. Grossman Department

More information

Computing phase diagrams of model liquids & self-assembly of (bio)membranes

Computing phase diagrams of model liquids & self-assembly of (bio)membranes Computing phase diagrams of model liquids & self-assembly of (bio)membranes Ulf Rørbæk Pedersen (ulf@urp.dk) Crystal structure of a simplistic model of a molecule. What is the melting temperature? A typical

More information

Defects. Defects. Kap. 3 States of aggregation. Perfect Crystal

Defects. Defects. Kap. 3 States of aggregation. Perfect Crystal Kap. 3 States of aggregation Defects Perfect Crystal A A perfect crystal with every atom in the correct position does not exist. Only a hypothetical situation at 0 K Crystals are like people: it is the

More information

Anharmonic energy in periodic systems

Anharmonic energy in periodic systems Anharmonic energy in periodic systems Bartomeu Monserrat University of Cambridge Electronic Structure Discussion Group 13 March 213 Vibrational properties overview Harmonic phonons are a very good approximation.

More information

Introduction to Engineering Materials ENGR2000. Dr.Coates

Introduction to Engineering Materials ENGR2000. Dr.Coates Introduction to Engineering Materials ENGR2000 Chapter 18: Electrical Properties Dr.Coates 18.2 Ohm s Law V = IR where R is the resistance of the material, V is the voltage and I is the current. l R A

More information

Fundamentals and applications of Density Functional Theory Astrid Marthinsen PhD candidate, Department of Materials Science and Engineering

Fundamentals and applications of Density Functional Theory Astrid Marthinsen PhD candidate, Department of Materials Science and Engineering Fundamentals and applications of Density Functional Theory Astrid Marthinsen PhD candidate, Department of Materials Science and Engineering Outline PART 1: Fundamentals of Density functional theory (DFT)

More information

Materials and Devices in Electrical Engineering

Materials and Devices in Electrical Engineering Examination WS 02/03 Materials and Devices in Electrical Engineering Monday 17 th of March, 9:00 11:00, International Department, SR. 203 Notice 1. It is allowed to use any kind of aids (books, scripts,

More information

First-principles study of the formation and migration of native defects in NaAlH 4

First-principles study of the formation and migration of native defects in NaAlH 4 First-principles study of the formation and migration of native defects in NaAlH 4 Gareth B. Wilson-Short, Anderson Janotti, Khang Hoang, Amra Peles,* and Chris G. Van de Walle Materials Department, University

More information

Ch. 2: Energy Bands And Charge Carriers In Semiconductors

Ch. 2: Energy Bands And Charge Carriers In Semiconductors Ch. 2: Energy Bands And Charge Carriers In Semiconductors Discrete energy levels arise from balance of attraction force between electrons and nucleus and repulsion force between electrons each electron

More information

Assessment of Phase-Field-Crystal Concepts using Long-Time Molecular Dynamics

Assessment of Phase-Field-Crystal Concepts using Long-Time Molecular Dynamics This is a post-print of the following article: Baker, K.. & Curtin, W. A. Assessment of phase-field-crystal concepts using long-time molecular Assessment of Phase-Field-Crystal Concepts using ong-time

More information

Pseudopotentials for hybrid density functionals and SCAN

Pseudopotentials for hybrid density functionals and SCAN Pseudopotentials for hybrid density functionals and SCAN Jing Yang, Liang Z. Tan, Julian Gebhardt, and Andrew M. Rappe Department of Chemistry University of Pennsylvania Why do we need pseudopotentials?

More information

Igor A. Abrikosov Theoretical Physics, Department of Physics, Chemistry and Biology, Linköping University, Sweden

Igor A. Abrikosov Theoretical Physics, Department of Physics, Chemistry and Biology, Linköping University, Sweden Ab initio simulations of materials properties: from fundamental theory towards materials design Igor A. Abrikosov (igor.abrikosov@ifm.liu.se) Theoretical Physics Department of Physics Chemistry and Biology

More information

The Theoretical Toolbox to Describe the Electronic Structure of Surfaces

The Theoretical Toolbox to Describe the Electronic Structure of Surfaces The Theoretical Toolbox to Describe the Electronic Structure of Surfaces Patrick Rinke Fritz-Haber-Institut der Max-Planck-Gesellschaft Faradayweg 4-6, D-14195 Berlin rinke@fhi-berlin.mpg.de Acknowledgements:

More information

Semi-insulating SiC substrates for high frequency devices

Semi-insulating SiC substrates for high frequency devices Klausurtagung Silberbach, 19. - 21. Feb. 2002 Institut für Werkstoffwissenschaften - WW 6 Semi-insulating SiC substrates for high frequency devices Vortrag von Matthias Bickermann Semi-insulating SiC substrates

More information

Defects in Crystalline Solids: the Basics

Defects in Crystalline Solids: the Basics Arkady Krasheninnikov HZDR, Germany and Aalto University, Finland slide 1 Jul 09, 2017 Defects in Crystalline Solids: the Basics Arkady Krasheninnikov http://users.aalto.fi/~ark/ Ion Beam Centre, Helmholtz-Zentrum

More information

Ab Initio Atomistic Thermodynamics

Ab Initio Atomistic Thermodynamics Ab Initio Atomistic Thermodynamics (Elizabeth C. Beret) Luca M. Ghiringhelli Fritz-Haber-Institut Berlin Extending the scale Thermodynamics: p, T, V, N Length (m) continuum 0 e or m -3 Potential Energy

More information

Lecture 10. Transition probabilities and photoelectric cross sections

Lecture 10. Transition probabilities and photoelectric cross sections Lecture 10 Transition probabilities and photoelectric cross sections TRANSITION PROBABILITIES AND PHOTOELECTRIC CROSS SECTIONS Cross section = = Transition probability per unit time of exciting a single

More information

Solutions for Homework 4

Solutions for Homework 4 Solutions for Homework 4 October 6, 2006 1 Kittel 3.8 - Young s modulus and Poison ratio As shown in the figure stretching a cubic crystal in the x direction with a stress Xx causes a strain e xx = δl/l

More information

ECE 442. Spring, Lecture -2

ECE 442. Spring, Lecture -2 ECE 442 Power Semiconductor Devices and Integrated circuits Spring, 2006 University of Illinois at Chicago Lecture -2 Semiconductor physics band structures and charge carriers 1. What are the types of

More information

Crystal Properties. MS415 Lec. 2. High performance, high current. ZnO. GaN

Crystal Properties. MS415 Lec. 2. High performance, high current. ZnO. GaN Crystal Properties Crystal Lattices: Periodic arrangement of atoms Repeated unit cells (solid-state) Stuffing atoms into unit cells Determine mechanical & electrical properties High performance, high current

More information

Spin electronics at the nanoscale. Michel Viret Service de Physique de l Etat Condensé CEA Saclay France

Spin electronics at the nanoscale. Michel Viret Service de Physique de l Etat Condensé CEA Saclay France Spin electronics at the nanoscale Michel Viret Service de Physique de l Etat Condensé CEA Saclay France Principles of spin electronics: ferromagnetic metals spin accumulation Resistivity of homogeneous

More information

Motivation. Confined acoustics phonons. Modification of phonon lifetimes Antisymmetric Bulk. Symmetric. 10 nm

Motivation. Confined acoustics phonons. Modification of phonon lifetimes Antisymmetric Bulk. Symmetric. 10 nm Motivation Confined acoustics phonons Modification of phonon lifetimes 0 0 Symmetric Antisymmetric Bulk 0 nm A. Balandin et al, PRB 58(998) 544 Effect of native oxide on dispersion relation Heat transport

More information

Morphological evolution of single-crystal ultrathin solid films

Morphological evolution of single-crystal ultrathin solid films Western Kentucky University From the SelectedWorks of Mikhail Khenner March 29, 2010 Morphological evolution of single-crystal ultrathin solid films Mikhail Khenner, Western Kentucky University Available

More information

Statistical Mechanics

Statistical Mechanics Statistical Mechanics Newton's laws in principle tell us how anything works But in a system with many particles, the actual computations can become complicated. We will therefore be happy to get some 'average'

More information

Direct and Indirect Semiconductor

Direct and Indirect Semiconductor Direct and Indirect Semiconductor Allowed values of energy can be plotted vs. the propagation constant, k. Since the periodicity of most lattices is different in various direction, the E-k diagram must

More information

A kinetic study of the ordering process in ternary III V semiconductor alloys

A kinetic study of the ordering process in ternary III V semiconductor alloys J. Phys.: Condens. Matter 9 (1997) 5737 5749. Printed in the UK PII: S0953-8984(97)78738-1 A kinetic study of the ordering process in ternary III V semiconductor alloys Zhi-Feng Huang and Bing-Lin Gu CCAST

More information