Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of...

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Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and Computer Science University of Toledo, Ohio http://astro1.panet.utoledo.edu/~khare/ Funding: DARPA, Air Force, NSF, DoE, State of Ohio

Transcript of Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of...

Page 1: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Materials Theory and Computation

S. V. Khare

1. Department of Physics and AstronomyUniversity of Toledo, Ohio

2. Department of Electrical Engineering and Computer Science

University of Toledo, Ohio

http://astro1.panet.utoledo.edu/~khare/

Funding: DARPA, Air Force, NSF, DoE, State of Ohio

Page 2: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

General theme of research

My research involves the application of appropriate theoretical and computational techniques to understand condensed matter systems of significant experimental interest. This work involves predictions for new phenomena, explanation of existing data, and collaborations with experimentalists on their current experiments. It has involved a variety of thin film and bulk materials from metals to semiconductors, crystalline to disordered materials, and nano- to micro- length scales. Varied theoretical techniques utilized are density functional theory based computations, classical molecular dynamics, Monte Carlo simulations, and continuum analytical equations.

Page 3: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Papers with students I• Effect of structure, surface passivation, and doping on the electronic and optical properties

of GaAs nanowires: A first principles study V. Gade, N. Shi, D. Medaboina, S. V. Khare, R. Ramprasad (Submitted to journal)

• Structural and Electronic properties of β-In2X3 (X = O, S, Se, Te) using ab initio calculations S. Marsillac, N. S. Mangale, V. Gade, S. V. Khare (Submitted to journal)

• Super Hard Cubic Phases of Period VI Transition Metal Nitrides: A First Principles Investigation S. K. R. Patil, N. S. Mangale, S. V. Khare, and S. Marsillac Accepted in Thin Solid Films 2008.

• Effect of structure, surface passivation, and doping on the electronic properties of Ge nanowires: A first-principles study D. Medaboina, V. Gade, S. K. R. Patil, and S. V. Khare Phys. Rev. B 76, 205327 (2007).

• Impact of Structure Relaxation on the Ultimate Performance of a Small Diameter, n-Type <110> Si-Nanowire MOSFET G. Liang, D. Kienle, S. K. R. Patil, J. Wang, A. W. Ghosh, and S. V. Khare IEEE Trans. Nano. Tech. 6, 225 (2007).

Page 4: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Papers with students II

• Mechanical stability of possible structures of PtN investigated using first-principles calculations S. K. R. Patil, S. V. Khare, B. R. Tuttle, J. K. Bording, and S. Kodambaka Phys. Rev. B 73, 104118 (2006).

• Ab Initio calculations for Properties of MAX phases Ti2TlC, Zr2TlC, and Hf2TlC J. A. Warner, S. K. R. Patil, S. V. Khare, and R. S. Masiuliniec Appl. Phys. Lett. 88, 101911 (2006).

Page 5: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Ab initio computations of structural and electronic properties of doped and undoped

Ge nanowires

S. V. Khare1, D. Medaboina2, V. Gade2, and S. K. R. Patil3

1. Department of Physics and AstronomyUniversity of Toledo, Ohio

2. Department of Electrical Engineering and Computer Science

University of Toledo, Ohio

3. Department of Mechanical and Industrial EngineeringUniversity of Toledo, Ohio

http://www.physics.utoledo.edu/~khare/

Page 6: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Experimental motivation

• Ab initio methods

• Structural properties

• Band structures of doped and undoped nanowires

• Band gaps of Si and Ge nanowires

• Conclusions

Page 7: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Introduction

• Diameter (d) of NWs range from 1 nm – 100 nm.

• Length (ℓ) varies from 10nm – 1µm

• Different names to NWs in literature:– Nanowires: Wires with large aspect ratios (ℓ/d > 20)– Nanorods: Wires with small aspect ratios (ℓ/d)– Nanocontacts: Short wires bridged between two larger

electrodes.

Page 8: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Experimental methods for preparing Ge nanowires

Laser ablation Vapor transport Low-temperature CVD Supercritical fluid–liquid–solid synthesis : In this method thermal evaporation of Ge

powder at 950C onto silicon wafer and ceramic (alumina) substrate using Au catalyst via a vapour–liquid–solid (VLS) process. Diameters up to 30 nm and length tens of micro meters. Preferred growth direction for the nanowires is [111].

Nanowires developed by Kamanev et al†., of 40 nm diameter along [111] growth direction grown on silicon substrate.

Nanowires developed by Nguyen et al*., grown along [110] on heavily doped Si.

* Nguyen, P.; Ng, H. T.; Meyyappan, M. Adv. Mater. 2005, 17, 5. † Kamanev, B. V.; Sharma, V.; Tsybeskov, L.; Kamins, T. I. Phys. Stat. Sol. (a) 2005, 202, 2753.

Page 9: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Tip of nanowires generated using supercritical fluid–liquid–solid (SLFS) method by Hanrath et al*.,

Orientation of Ge nanowires generated using SLFS method

* Hanrath, T.; Korgel, B. A. Small 2005, 1, 7.

[111]

[211]

[111]

[110]

Page 10: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

HRTEM image of [110] growth direction developed by Hanrath et al*., representing the faceted cap structure of nanowire.

Faceting of Ge nanowires

* Hanrath, T.; Korgel, B. A. Small 2005, 1, 7.

Fourier transform of image representing the [110] pole axis of the wire [110]

Tapered end of nanowire showing the facets

Crystallographic model of nanowire showing the facets of nanowire.

HRTEM image of nanowire along [110] growth direction showing the length of nanowire.

Page 11: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

A SEM image of a p-n diode. Diode obtained by simply crossing p- and n-type NW.*

Diode made of NWs

* Duan et al., Nature 2001, 409, 66, Harvard University, Cambridge.

Ŧ Huang et al., Pure Appl. Chem. 2004, 76, 2051, Harvard University, Cambridge.

n p p-n

Schematics illustrating the crossed NW-FET concept.Ŧ

FET made of NWs

1 μm

Page 12: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Ab initio method• Powerful predictive tool to calculate properties of materials

• Fully first principles – (1) no fitting parameters, use only fundamental constants

(e, h, me, c) as input– (2) Fully quantum mechanical for electrons

• Thousands of materials properties calculated to date

• Used by biochemists, drug designers, geologists, materials scientists, and even astrophysicists!

• Evolved into different varieties for ease of applications

• Awarded chemistry Nobel Prize to W. Kohn and H. Pople 1998

Page 13: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Pros and Cons of ab initio methodPros:• Very good at predicting structural properties:

(1) Lattice constant good to 0-3%.(2) Bulk modulus good to 1-10%.(3) Very robust relative energy ordering between structures.(4) Good pressure induced phase changes.

• Good band structures, electronic properties.• Used to study the properties of materials at unstable conditions.

Cons:• Computationally intensive.• Excited electronic states: difficult to compute.• Band gaps are under estimated by 50%.

Page 14: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Ab initio method details

• LDA, Ceperley-Alder exchange-correlation functional as parameterized by Perdew and Zunger

• Generalized ultra-soft Vanderbilt pseudo-potentials and plane wave basis set

• Supercell approach with periodic boundary conditions in all three dimensions

• Wires are infinite along their axis

Page 15: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Theoretical and experimental comparison of lattice constant and

bulk modulus of GeLattice

constant (nm)Bulk mudulus

(GPa)

Theoretical calculations 0.5638 72.57

Experimental calculations* 0.5658 75.00

* Kittel, C. Introduction to Solid State Physics, 2nd ed., (John Wiley & Sons, Inc., New York, 1976), p. 40.

Page 16: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Nomenclature used for describing a nanowire

( )03.2)44,89(

]001[

-- HGeNW

NanowireOrientation of the nanowire

Number of Ge atoms in the nanowire

Number of H atoms in the nanowire

Diameter of the nanowire in nm

Page 17: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Structural Properties of Ge nanowires

)44,89(]001[

HGeNW )44,89(]001[

HGeNW

)44,89(]001[

HGeNW

[001] [110] [111]

03.2)44,89(]001[

HGeNW 12.2)32,69(]110[

HGeNW 11.2)66,170(]111[

HGeNW

[001] [110] [111]

03.3)60,185(]001[

HGeNW 3.3)40,133(]110[

HGeNW 03.3)90,326(]111[

HGeNW

All results in this talk are with DFT-LDA, VASP.

Page 18: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Electronic Properties: Band Structures of Ge nanowires

[001] [110] [111]

03.2)44,89(]001[

HGeNW 12.2)32,69(]110[

HGeNW 11.2)66,170(]111[

HGeNW

[001] [110] [111]

03.3)60,185(]001[

HGeNW 3.3)40,133(]110[

HGeNW 03.3)90,326(]111[

HGeNW

Page 19: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Band Structures of doped and undoped Ge nanowires

[100]

[110]

[111]

11.2)1,66,169(]111[

PHGeNW 11.2)66,170(]111[

HGeNW 11.2)1,66,169(]111[

BHGeNW

03.2)1,44,88(]001[

PHGeNW 03.2)44,89(]001[

HGeNW 03.2)1,44,88(]001[

BHGeNW

n-doped undoped p-doped

12.2)1,32,68(]110[

PHGeNW 12.2)32,69(]110[

HGeNW 12.2)1,32,68(]110[

BHGeNW

Page 20: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Plot of Energy gap (eV) versus Diameter (nm)

Page 21: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Axis

Dia (nm)

Comparison of band gap of Ge and Si nanowires along different diameter and

axes

0.5 1.0 1.5 2.0 2.5 3.0

[001] D D I I I I

[110] D D D D D D

[111] I I I I I I

D = Direct band gap, I = Indirect band gap

Axis0.5 1.0 1.5 2.0 2.5 3.0

[001] I I I I I I

[110] D D D D D D

[111] D D D D I I

Dia (nm)

Si nanowires*

Ge nanowires

* Zhao, X.; Wei, C. M.; Yang, L.; Chou, M.Y. PRL 2004, 92, 23.

Page 22: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Conclusions of work on Ge nanowires

1. Study of structural, energetic, and electronic properties of hydrogen-passivated doped and undoped germanium nanowires along [001], [110], and [111] directions with diameter d up to 3 nm, using ab initio methods.

2. The electronic band structure shows a significant response to changes in surface passivation with hydrogen.

3. Doping of wires with n and p type atoms produced a response in the band structure similar to that in a doped bulk crystal.

4. Quantum confinement has a substantial effect on the electronic band structure and hence the band gap, which increases with decreasing diameter.

5. Wires oriented along [110] are found to have a direct band gap while the wires along [111] are found to have an indirect band gap. Wires along [001] show a crossover from a direct to an indirect band gap as diameter increases above the critical diameter for the transition being 1.3 nm.

Page 23: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Institutional Support

• University of Toledo Parallel Computing Cluster

• Ohio Supercomputer Cluster

• National Center for Supercomputing Applications (NCSA)

Page 24: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Thank you!

Page 25: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Ab initio method details

• LDA, Ceperley-Alder exchange-correlation functional as parameterized by Perdew and Zunger

• Used the VASP code with generalized ultra-soft Vanderbilt pseudo-potentials and plane wave basis set

• Supercell approach with periodic boundary conditions in all three dimensions

• Energy cut-offs of 150.00 eV for H-terminated Ge nanowires,

dense k-point meshes

• Forces converged till < 0.01 eV/ Å

• Used supercomputers of NCSA and OSC

Page 26: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.
Page 27: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.
Page 28: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Structural and Electronic Properties of Doped and Undoped GaN Nanowires:

A First Principles Investigation

Shandeep Voggu(MS Thesis Candidate)

Department of EECSUniversity of Toledo

Page 29: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

AcknowledgementsPeople

• Prof. Sanjay V. Khare (Thesis advisor)

• Prof. Daniel Georgiev (Committee member)

• Prof. Vijay Devabhaktuni (Committee member)

• Varun Gade, Dayasagar Medaboina, Sunil K. R. Patil, Nikhil Mangale, Ashok Kolagatla, Kausthuba Ippagunta, Abbas Naseem, Krishnakanth Ganguri (Prof. Khare’s group)

Institutional support

• Ohio Supercomputer Center (OSC)

• National Center for Supercomputing Applications (NCSA)

Page 30: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 31: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 32: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Introduction

• Diameter (d) of NWs range from 1 nm – 100 nm.

• Length (ℓ) varies from 10nm – 1µm

• Different names to NWs in literature:– Nanowires: Wires with large aspect ratios (ℓ/d > 20)– Nanorods: Wires with small aspect ratios (ℓ/d)– Nanocontacts: Short wires bridged between two larger

electrodes.

Page 33: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 34: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Growth of GaN NWs using the Metalorganic Chemical Vapour Deposition (MOCVD)

* J. C. Johnson et al., Nature Materials 1, 106–110 (2002), University of California, Berkeley.

50 nm 5 nm

Electron microscopy images of synthesized GaN nanowires.

(a)Scanning electron microscopy (SEM) images of GaN nanowires grown on sapphire substrate. Scale bar, 3μm.

(b)High-resolution transmission electron microscopy image of GaN nanowire.Scale bar, 1 nm.

(c)SEM image of single GaN wire after dispersing onto sapphire substrate.Scale bar, 5μm.

Page 35: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

* Kuykendall et al., Nature Materials 3, 524–528 (2004), University of California, Berkeley.

Growth of GaN NWs using the Metalorganic Chemical Vapour Deposition (MOCVD)

TEM images of the GaN nanowires.a–c,Wires grown on (100) γ-LiAlO2.The inset in a is an electron-diffraction pattern recorded along [001] axis.

d–f,Wires grown on (111) MgO substrates.The insets in d show the hexagonal cross-section of the wire and an electron-diffraction pattern recorded along the [100] axis.

c and f show space-filling structural models for the nanowires with triangular and hexagonal cross-sections.

Page 36: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Advantages of NWs

• NW devices can be assembled in a rational and predictable way because:

– NWs can be precisely controlled for structure and chemical composition during synthesis.

• NW building blocks can be combined in ways not possible in conventional electronics.

• Series of electronic devices are being assembled using semiconductor NWs:

– Crossed NW p-n diodes,– Crossed NW-FETs,– Nanoscale logic gates,– Optoelectronic devices

Page 37: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

A SEM image of a p-n diode. Diode obtained by simply crossing p- and n-type NW.*

Diode made of NWs

* Duan et al., Nature 2001, 409, 66, Harvard University, Cambridge.

Ŧ Huang et al., Pure Appl. Chem. 2004, 76, 2051, Harvard University, Cambridge.

n p p-n

Schematics illustrating the crossed NW-FET concept.Ŧ

FET made of NWs

1 μm

Page 38: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Far-field image of a single GaN nanolaser*

GaN nanowire laser

(a) SEM image of a GaN nanowire connected with two electrodes for the

transport study. The inset is an illustration of the GaN transistor layout.

(b) Current-voltage measurement at different gating voltages for the GaN

nanowire. Ŧ

GaN Nanowire Transistor: n-type1 μm

*J. C. Johnson et al., Nature Materials 1, 106–110 (2002). Ŧ Kuykendall et al., Nano. Lett. 3, 1063, 2003.

University of California, Berkeley.

Page 39: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 40: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Definition of a crystal

a

Basis atomic position:

(0.0, 0.0, 0.0)

Bases atomic positions:

(0.0, 0.0, 0.0)

(0.0, 0.5, 0.5)

(0.5, 0.0, 0.5)

(0.5, 0.5, 0.0)

x

zy

x

zy

• Crystal atomic position = Bravais lattice position + Basis vector

• Bravais lattice is regular arrangement of points.

• Vectors determining the position of the atom from every Bravais lattice point are called basis vectors.

• Basis vector = 1 – basis atom 4 – basis atoms

Page 41: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Hexagonal Bravais lattice structures

Wurtzite unit cellHexagonal Bravais lattice structure

The wurtzite lattice.

A1  =  ½ a X - ½ 31/2 a Y 

A2  =  ½ a X + ½ 31/2 a Y 

A3  =  c Z  

B1  =  ½ a X + ½ 3-1/2 a Y  (Ga)   (2b)

B2  =  ½ a X - ½ 3-1/2 Y + ½ c Z  (Ga)   (2b)

B3  =  ½ a X + ½ 3-1/2 a Y + u c Z  (N)   (2b)

B4  =  ½ a X - ½ 3-1/2 a Y + (½ + u) c Z  (N)   (2b)

Lattice Vectors Basis Vectors

Page 42: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Wurtzite structure

Structure representing the wurtzite lattice. N atoms

Ga atoms

Page 43: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 44: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Objective of making NW structures

• Periodically repeating unit along arbitrary direction (m n o) in a crystal.

- For example consider a [001] axis wire

z

xy

- Indicate Ga atoms

- Indicate N atoms

Page 45: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Objective of making NW structures

• Periodically repeating unit along arbitrary direction (m n o) in a crystal.

- For example consider a [001] axis wire

z

xy

- Indicate Ga atoms

- Indicate N atoms

Page 46: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Objective of making NW structures

• Periodically repeating unit along arbitrary direction (m n o) in a crystal.

- For example consider a [001] axis wire

x

zy

• Surfaces should be passivated

- Indicate Ga atoms

- Indicate N atoms

Page 47: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Generation of nanowires

Three major steps in generation of nanowires:

1) Generate a large cube of bulk material using lattice and basis vectors of wurtzite lattice.

2) Cut a wire of given length and diameter from the bulk material using a separate algorithm.

3) Identify the missing neighbors and passivate the dangling bonds with hydrogen atoms.

Page 48: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Generation of Bulk material

• represents the lattice vectors for i = 1, 2, and 3;

represent the basis atoms.

• The generated bulk material has square cross-section.

jii b)an(R

ai

• Position vector of any atom in bulk material is given by

bj

- Indicate Ga atoms

- Indicate N atoms

Page 49: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Extracting the nanowire

For each atom in the bulk material:

1. Cross product of its position vector with the normal along the axis of wire < radius of the wire.

2. Dot product of the position vector of atom and normal along the axis of wire lies in the range -(wire-length)/2 to +(wire-length)/2

3. Wire-length determined from the crystal

Axis of the NW

* Goldstein. H, Poole. C, Safko. J, Classical Mechanics, 3rd Edition, Addison Wesley.

Page 50: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

• The generated nanowires will have dangling bonds left on the surface of wire due to the cutting.

• These dangling bonds create states in bandstructure.

Nanowire cut from bulk material.

Generated nanowire

ℓ- Indicate Ga atoms

- Indicate N atoms

d

Page 51: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Termination with Hydrogen

• Each atom in the wire is checked to see four neighbors. The atoms without four neighbors are identified and the missing neighbors are replaced with hydrogen atoms.

Top view

H passivated GaN NW.

- Indicate Ga atoms

- Indicate N atoms

- Indicate H atoms

Page 52: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 53: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Ab initio method• Powerful predictive tool to calculate properties of materials

• Fully first principles – (1) no fitting parameters, use only fundamental constants

(e, h, me, c) as input– (2) Fully quantum mechanical for electrons

• Thousands of materials properties calculated to date

• Used by biochemists, drug designers, geologists, materials scientists, and even astrophysicists!

• Evolved into different varieties for ease of applications

• Awarded chemistry Nobel Prize to W. Kohn and H. Pople 1998

Page 54: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Pros and Cons of ab initio methodPros:• Very good at predicting structural properties:

(1) Lattice constant good to 0-3%.(2) Bulk modulus good to 1-10%.(3) Very robust relative energy ordering between structures.(4) Good pressure induced phase changes.

• Good band structures, electronic properties.• Used to study the properties of materials at unstable conditions.

Cons:• Computationally intensive.• Excited electronic states: difficult to compute.• Band gaps are under estimated by 50%.

Page 55: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

• Different codes:

• SIESTA • VASP • CASTEP• Abinit• CRYSTAL

• VASP - Vienna Ab initio Simulation Package

Ab initio codes

Page 56: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

VASP

OUTCAROSZICARCONTCARCHGCARWAVECAREIGENVALPROCARXDATCARLOCPOTDOSCAR

POSCARPOTCARKPOINTSINCAR

Input files Output files

• Implementing ab initio quantum mechanical molecular dynamics.

Page 57: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

VASP input files

• POSCAR: Positions of ions Bravais lattice

Periodic boundary conditions

• POTCAR: Pseudopotentials from VASP

• KPOINTS: Would be used for parallelization

• INCAR: Different parameters for different properties

Page 58: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

GaN-bulk5.602 0.000000000 0.500000000 0.50000000 0.500000000 0.000000000 0.50000000 0.500000000 0.500000000 0.000000002 2Selective dynamicsDirect0.33333333 0.66666667 0.000 T T T0.66666667 0.33333333 0.500 T F T 0.33333333 0.66666667 0.385 T T F0.66666667 0.33333333 0.885 F F T

Ge Bulk 5.6435 0.00000000 0.50000000 0.50000000 0.50000000 0.00000000 0.50000000 0.50000000 0.50000000 0.00000000 2 Direct 0.000000000000000 0.000000000000000 0.000000000000000 0.250000000000000 0.250000000000000 0.250000000000000

POSCAR

(Å )

n atom

n1, n2

The ordering must be consistent with the POTCAR

321 a,a,a

Page 59: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

VASP output files

• OUTCAR: Complete information of the simulation- Number of irreducible points- Final position of ions and forces- Time take to complete simulation

• OSZICAR: It contains the information about free energy (E0)

and about convergence speed.

• CONTCAR: It contains the positions of ion at the final ionic step in relaxations.

Page 60: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Test of Pseudopotentials

Lattice constants (nm)

Bulk modulus (GPa)

Theoretical calculations

a=0.3118

c=0.5132183

Experimental measurement *

a=0.3189

c=0.5185187

* http://www.phys.ksu.edu/area/GaNgroup/gparametm.html

Page 61: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 62: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Nomenclature used for describing a nanowire

Diameter (d) of the nanowire in nmNanowire

Orientation of the nanowire

“a” number of Ga atoms in the nanowire

“c” number of H atoms in the nanowire

NW(Ga – a, N – b, H – c,..)

[100]

(d)

“b” number of N atoms in the nanowire

Page 63: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Structural Properties

[001]

c-axis

[100]

a-axis

All results in this presentation are obtained using ab initio method.

).1.09(NW )48H,24N,12Ga(]001[

).37 1(NW )32H,27N,19Ga(]100[

).1.94(NW )96H.96N,72Ga(]001[

).2.18(NW )48H,56N,44Ga(]100[

).25(2NW )96H,120N,96Ga(]001[

)80.2(NW )60H,84N,69Ga(]100[

~ 1.0 nm ~ 2.0 nm > 2.0 nm

Page 64: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Band structures[001] [100]

K (2π/ℓ) K (2π/ℓ)

K (2π/ℓ)K (2π/ℓ)

K (2π/ℓ) K (2π/ℓ)

~ 1.0 nm

~ 2.0 nm

> 2.0 nm

).1.09(NW )48H,24N,12Ga(]001[

).1.94(NW )96H.96N,72Ga(]001[

).25(2NW )96H,120N,96Ga(]001[

).37 1(NW )32H,27N,19Ga(]100[

).2.18(NW )48H,56N,44Ga(]100[

)80.2(NW )60H,84N,69Ga(]100[

Page 65: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Band Structures of doped and undoped GaN nanowires

[001]

[100]

n-doped undoped p-doped

K (2π/ℓ) K (2π/ℓ) K (2π/ℓ)

K (2π/ℓ)K (2π/ℓ)K (2π/ℓ)

NW( 72, 95, 96, 1)[001]Ga N H C

NW( 44, 55, 48, 1)[100]Ga N H C

(2.02)

(2.02) NW( 72, 96, 96)[001]Ga N H (2.02)

NW( 44, 56, 48)[100]Ga N H

(2.02)

NW( 71, 96, 96, 1)[001]Ga N H C

(2.02)

NW( 43, 56, 48, 1)[110]Ga N H C

(2.02)

Page 66: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Comparison of band gap of GaN and Ge nanowires

D = Direct band gap, I = Indirect band gap

Axis0.5 1.0 1.5 2.0 2.5 3.0

[001] D D D D D D

[100] D D D D D D

GaN nanowiresDia (nm)

Axis

Dia (nm) 0.5 1.0 1.5 2.0 2.5 3.0

[001] D D I I I I

[110] D D D D D D

[111] I I I I I I

Ge nanowires by Medaboina et al.,*

* Phys. Rev. B 76, 205327 (2007).

Page 67: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Band gap, Eg of GaN nanowires

Wire axisd (nm)

No. of Ga atoms

No. of N atoms

No. of H* atoms

Eg (eV)[h k l]

[001]

0.83 12 24 48 3.081.08 24 36 48 2.931.37 36 54 72 2.741.84 54 72 72 2.682.20 72 96 96 2.67

[100]

0.75 07 12 20 3.001.00 10 16 24 2.901.30 19 27 32 2.741.60 30 41 44 2.632.18 44 56 48 2.59

Page 68: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Plot of band gap (eV) versus Diameter (nm)

2.5

2.6

2.7

2.8

2.9

3

3.1

3.2

0.5 1 1.5 2 2.5

d (nm)

Eg

(e

V)

[001] axis

[100] axis

Page 69: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 70: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Conclusions of work on GaN nanowires

1. Successfully studied the structural and electronic properties of hydrogen-passivated doped and undoped GaN nanowires along [001] and [100] directions with diameter d up to 3 nm, using ab initio methods.

2. Doping of wires with n and p type atoms produced a response in the band structure similar to that in a doped bulk crystal.

3. Quantum confinement has a substantial effect on the electronic band structure and hence the band gap, which increases with decreasing diameter.

4. All wires studied have direct bandgaps.

Page 71: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Outline

• Introduction• Experimental motivation and applications• Crystal structures • Generation of nanowires• Ab initio methods• Properties: Doped and undoped nanowires

1) Structural

2) Electronic • Conclusions• Future work

Page 72: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Future work (preliminary stages)

• Optical properties of GaN nanowires are being determined.

ir i

Real and Imaginary plots of the dielectric function of NW( 72, 96, 96)[001]Ga N H (2.02)

Page 73: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Thank you!

Page 74: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.
Page 75: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Density Functional Theory (DFT)DFT states that the ground state energy of a system of particles moving in a potential

can be consistently expressed as a function of the density of the particles, n(r).

We look for the self-consistent solution to the equations that minimize the expression for total energy within a unit cell as a function of n(r) to find the groundstate n(r).

We assume that the valence electrons experience the effects from nuclei and core electrons as a non-interacting pseudopotential.

The density of electrons in a unit cell is then given by the sum of the probability densities from a set of orthonormal one-electron orbitals.

Below: solving the Kohn-Sham energy minimization equations self-consistently.

*Formatted Equations taken from Wikipedia.org: Density Functional Theory; Content: Michael J. Mehl et al, First Principles Calculations of Elastic Properties of Metals(1993).

Resulting ground state density n(r) substituted into initial expression for energy gives the ground state energy for a unit cell.

Page 76: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Ab initio techniques and approximations

• Techniques:

1. Density functional theory 2. Pseudopotential theory 3. Iterative diagonalization method

• Approximations:

• Local density approximation • Generalized gradient approximation

• Different codes like SIESTA, VASP, CASTEP are used.

VASP - Vienna Ab initio Simulation Package

Graph showing the comparison of wave function and ionic potential in Pseudopotential theory.

Page 77: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Supercell geometry for a molecule

Page 78: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Evolution of theoretical techniques

• The physical properties of any material are found to be related to the total energy or difference between total energies.

• Total energy calculation methods which required specification of number of ions in the material are referred to as ab initio methods.

• Ab initio make use of fundamental properties of material. No fitting parameters are involved.

Page 79: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Practical AlgorithmEffective Schrodinger equation for non-interactng electrons

),()()]([2

22

rrrvm nnneff

,)()(

1

2

N

nn rr

Implementation:

1. Guess an initial charge density for N electrons2. Calculate all the contributions to the effective potential3. Solve the Schrodinger equation and find N electron states4. Fill the eigenstates with electrons starting from the bottom5. Calculate the new charge density6. Calculate all the contributions to the effective potential and

iterate until the charge density and effective potential are self-consistent.

7. Then calculate total energy.

N

nnrE

1

)]([

Page 80: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Density Functional Theory (DFT)

Hohenberg Kohn Theorems (1964)

(1)The external potential of a quantum many body system is uniquely determined by the r), so the total energy is a unique functional of the particle density E = Er)].

(2) The density that minimizes the energy is the ground state density and the energy is the ground state energy,

Min{Er)]} = E0

Synonyms: DFT = Ab initio = First Principles

Page 81: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

Kohn Sham Theory (1965)The ground state density of the interacting system of particles can

be calculated as the ground state density of non-interacting particles moving in an effective potential veff r)].

),()()]([2

22

rrrvm nnneff

N

nn rr

1

2)()(

)]([)(

)()]([ 3. rvrd

rr

rrvrv xcnuceff

,)(

)]([)]([

r

rErv xc

xc

Coulomb potential of nuclei

Hartree electrostatic potential

)]([ rExc is universal!

Exchange correlation potential

Page 82: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

national laboratory for advanced Tecnologies and nAnoSCience

Self catalitic growth of GaN NWs

Stach et al, Nano Lett. 3, 867 (2003)

•self standing GaN layer•thinned for TEM (≤ 300 nm)•heated at 1050° C in a TEM

Above 850 in high vacuumGaN(s) ―›

Ga (l) + 0.5 N (g) + 0.25 N2 (g)GaN(s) ―›

GaN (g) or [GaN]x (g)

in-situ study of the decomposition and resulting nanostructure evolution

Page 83: Materials Theory and Computation S. V. Khare 1.Department of Physics and Astronomy University of Toledo, Ohio 2. Department of Electrical Engineering and.

national laboratory for advanced Tecnologies and nAnoSCience

room temperature analysisof the nanostructures:

•single crystal GaN NWs•[0001] oriented•av diameter 50 nm•gr rate 300 nm/s

self catalytic process could be important to avoid undesired contamination from foreign metal atom (catalyst)