deriving insights from computation: molecular electronics to self-trapped excitons

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Deriving Insights from Computation: Molecular Electronics to Self-trapped Excitons Steven G. Louie Physics Department, UC Berkeley and MSD, LBNL Electron Transport: Self-trapped Excitons: Supported by: NSF and DOE J.-H. Choi Y.-W. Son J. Neaton J. Ihm (Korea) K. Khoo M. Cohen S. Ismail-Beigi (Yale) O 1 Si 1 Si 2

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Deriving Insights from Computation: Molecular Electronics to Self-trapped Excitons. Steven G. Louie Physics Department, UC Berkeley and MSD, LBNL. Electron Transport: Self-trapped Excitons: Supported by: NSF and DOE. J.-H. Choi Y.-W. Son J. Neaton J. Ihm (Korea) - PowerPoint PPT Presentation

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Page 1: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Deriving Insights from Computation: Molecular Electronics to Self-trapped Excitons

Steven G. Louie Physics Department, UC Berkeley and MSD, LBNL

Electron Transport:

Self-trapped Excitons:

Supported by: NSF and DOE

J.-H. Choi Y.-W. SonJ. Neaton J. Ihm (Korea)K. Khoo M. Cohen

S. Ismail-Beigi (Yale)O1

Si1

Si2

Page 2: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Molecular Electronics

Present approach: Ab initio scattering-state method

Other ab initio approaches:NEGF methods -- (e.g., TRANSIESTA, Guo, et al., …)Lippman-Schwinger -- (e.g., di Ventra & Lang, …)Master equation -- (e.g., Gebauer & Car, …)

(Electron transport through single molecules,atomic wires, …)

Page 3: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Example of a Molecular Electronic Device

(For a review, see Reed & Chen, 2000)

Chen, et al (1999); Rawlett, et al (2002)

Page 4: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Some fundamental issues

• Open system: infinitely large and aperiodic

• Out of equilibrium: Chemical potential ill-defined across molecule

• Nanometer length scales: atomic details of contact and self-consistent electronic structure are important

µL µR

Current

R

LVscf = Vpp + VHa + Vxc

Self-consistent potential

Page 5: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Theoretical framework

• Compute bias-dependent transmission coefficients t

• Current from transmission of states T(E,V)

• Formalism for an open, infinite system out of equilibrium capturing the atomic-scale details of the molecular junction • Two-terminal geometry with semi-infinite leads

R leadConductor

rt

L lead

i

I(V)=2e

hT(E,V)

μR

μL

∫dE

Page 6: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

First-principles Scattering-State Approach to Molecular Electronic Devices

Choi, Cohen & Louie (2004)

I(V)=2e

hT(E,V)

μR

μL

∫dE

Page 7: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Closer look at a scattering state

Example state propagating from left to right with energy E

where, e.g.,

Transmission matrix

Incident L lead stateTransmitted R lead state &

evanescent waves

Reflected L lead state &evanescent waves

Conductor C state

R leadConductor

r t

L lead

i

Page 8: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Conductance of Pt-H2 junction

[1] R.H.M. Smit et al., Nature 419, 906 (2002)

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

Conductance (2e2/h)

Num

ber

of C

ount

s

Pt• Conductance of single H2 molecule has been interpreted by break-junction measurements to be close to 1 G0 = 2e2/h

• Single channel

Page 9: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Pd-H2 junction: Reduced conductance

Pd

Increasing H2 conc. x

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

PdHx PdHx

1 2 3 4 5 1 2 3 4 5 1 2 3 4 5

Cou

nts

Conductance (2e2/h)Conductance (2e2/h) Conductance (2e2/h)

Similar experiments with Pd nanojunctions yields about 0.3-0.5 G0, a factor of two or three less than Pt.

Page 10: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Modeling the junction

H—H?

[111]

Tip—H?

Break junction

Page 11: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Transmission spectra

Resonances Plateau

Khoo, Neaton & Louie (2005)

G=1.01G0

G=0.35G0

EF Pt

PdResonances

Page 12: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Physical picture

EF

Pt

E

Pt case

Pd casePd

E

EF

• Junction states are band-like

• Scattering is minimal over a range of energies

• Junction states are resonant

• Scattering is large and energy dependent

JunctionMetal

Page 13: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Local electronic structure

Pt Pd

Tra

nsm

issi

on (

2e2/h

)

H2

Tip atom

Bulk atom

Pt

Loca

l den

sity

of

stat

es

H2

Tip atom

Bulk atom

Pd

Khoo, Neaton and Louie (2005)

Page 14: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Local electronic structure

H2

Tip atom

Bulk atom

H2

Tip atom

Bulk atom

Pt Pd

Pt Pd

Loca

l den

sity

of

stat

esT

rans

mis

sion

(2e

2/h

)

Band-like

Localized

Khoo, Neaton and Louie (2005)

Page 15: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Conductance of H2 nanojunctions

Pd / H2 Pt / H2

Experiment 0.3 - 0.6G0 1.0G0

Our work

(G0 = 2e2/h)

0.35G0 (Pd)

0.14G0 (PdH)

1.01G0

H2 nanojunction conductanceStrongly lead-dependent: Tip atoms play a key roleClosed-shell molecule is a good conductor!Transport properties of small molecules are strongly affected by lead

Our calculations characterize conduction in the junction and explain experiment

Khoo, Neaton & Louie (2005)

Page 16: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Negative Differential Resistance and Lead Geometry Effects

Page 17: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Son, Choi, Ihm, Cohen and Louie (2004)

Calculated I-V Curve of a Tour Molecular Junction

Page 18: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

unoccupiedoccupied

Page 19: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Dominant transmitting state

L U

Page 20: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

L U

Page 21: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Potential Drop across Molecular Junction

Potential at 0.6 A above molecularplane

Page 22: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Forces in the Photo-Excited State: Self-trapped Exciton

Page 23: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Forces in Excited State

• For many systems, photo-induced structural changes are important

– differences between absorption and luminescence– self-trapped excitons– molecular/defect conformation changes– photo-induced desorption

• Need excited-state forces– structural relaxation– luminescence study– molecular dynamics, etc.

• GW+BSE approach gives accurate forces in photo-excited state

Ismail-Beigi & Louie, Phys. Rev. Lett. 90, 076401 (2003)

Page 24: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Excited-state Forces

ES = E0 + ΩS

∂RES = ∂RE0 + ∂RΩS

E0 & ∂RE0 : DFT

ΩS : GW+BSE

Ismail-Beigi & Louie, Phys. Rev. Lett. 90, 076401 (2003).

Page 25: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Verification on molecules

Ismail-Beigi & Louie, Phys. Rev. Lett. 90, 076401 (2003).

Excited-state force methodology

• Proof of principle: tests on molecules

- CO and NH3

• GW-BSE force method works well

• Forces allow us to efficiently find excited-state energy minima

Page 26: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

SiO2 (-quartz): optical properties

• Oxygen• Silicon

[1] Ismail-Beigi & Louie (2004)[2] Philipp, Sol. State. Comm. 4 (1966)

[1]

Emission at ~ 3 eV!

Page 27: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Self-trapped exciton (STE) in SiO2 (-quartz)

Triplet STE has ≈ ms and ~ 6 eV Stokes shift [1]

[1] e.g. Itoh, Tanimura, & Itoh, J. Phys. C 21 (1988).

1. Start with 18 atom bulk

cell

2. Randomly displace

atoms by ±0.02 Å

3. Relax triplet exciton state4. Repeat steps 2&3: same

final config.

Ismail-Beigi & Louie (2005)

Page 28: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Structural Distortion from Self-Trapped Exciton in SiO2

Final configuration: Broken Si-O bond Hole on oxygen Electron on silicon Si in planar sp2 configuration

Ismail-Beigi & Louie (2005)

• Oxygen• Silicon

Page 29: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Self-Trap Exciton Geometry

Bond (Å)

Bulk Defect

Si1-O1 1.60 1.97 (+23%)

Si2-O1 1.60 1.68 (+5%)

Si1-Oother 1.60 1.66 (+4%)

Angles Bulk Defect

O1-Si1-Oother 109o ≈ 85o

Oother-Si1-Oother 109o ≈ 120o

O1

Si1

Si2

Page 30: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Atomic rearrangement for STE

No activation barrier!

Page 31: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Electron-Hole Wavefunction of Self-Trapped Exciton in SiO2

Hole probability distributionwith electron any where in the crystal

Electron probability distribution given the hole is in the colored box

Page 32: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Electron & Hole Distributions of Self-Trapped Exciton in SiO2

Final configuration: Broken Si-O bond Hole on oxygen (brown) Electron on silicon (green) Si in planar sp2 configuration

Ismail-Beigi & Louie, PRL (2005)

• Oxygen

• Silicon QuickTime™ and aGIF decompressor

are needed to see this picture.

Page 33: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Constrained DFT Calculations

Constrained LSDA: DFT with excited occupations

Problems:

• Relaxes back to ideal bulk from random initial displacements: excited-state energy surface incorrectly has a barrier.

• Large initial distortion needed for STE [1,2]

• Predicted Stokes shift and STE luminescence energy are very poor to correlate with experiments

[1] Song et al., Nucl. Instr. Meth. Phys. Res. B 166-167, 451 (2000).[2] Van Ginhoven and Jonsson, J. Chem. Phys. 118, 6582 (2003).

Page 34: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

STE in SiO2: Comparison to Experiment

Luminescence freq.: T (eV)

Stokes shift (eV)

Luminescence Pol || z (*)

Expt. [1-6]2.6, 2.74, 2.75, 2.8

6.2-6.40.48, 0.65,

0.70

GW+BSE 2.85 6.37 0.72

CLSDA (forced)

4.12 2.14 ----

1. Tanimura et al., Phys. Rev. Lett. 51, 423 (1983).

2. Tanimura et al., Phys. Rev. B 34, 2933 (1986).3. Itoh et al., J. Phys. C 21, 4693 (1988).4. Itoh et al., Phys. Rev. B 39, 11183 (1989).5. Joosen et al., Appl. Phys. Lett. 61, 2260

(1992).6. Kalceff & Phillips, Phys. Rev. B 52, 3122

(1996).

(*)

Pol =Iz − Ixy

Iz + Ixy

Page 35: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons
Page 36: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons

Summary

First-principles calculations may be used to gain insightsinto new and old problems

• Electron transport through single molecule can exhibitdramatic negative differential resistance. (Chargerearrangement mechanism discovered.)

• Self-trapped exciton in SiO2 => broken-bond geometryand huge Stokes shifts.

Page 37: Deriving Insights from Computation:  Molecular Electronics to Self-trapped Excitons