An In Intro troduction to to Computational Nan anoscience Lin - - PowerPoint PPT Presentation

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An In Intro troduction to to Computational Nan anoscience Lin - - PowerPoint PPT Presentation

An In Intro troduction to to Computational Nan anoscience Lin in-Wang Wang ng Material Sc Science Div ivision Lawrence Berk rkeley Natio tional Lab US S Department t of of Ene nerg rgy Offic ffice of of Sc Scie ience What


slide-1
SLIDE 1

Contact: linwang wang, lwwang@lbl.gov

An In Intro troduction to to Computational Nan anoscience

Lin in-Wang Wang ng Material Sc Science Div ivision Lawrence Berk rkeley Natio tional Lab US S Department t of

  • f Ene

nerg rgy Offic ffice of

  • f Sc

Scie ience

  • What can

n we do

  • ?
  • How
  • w do
  • we do
  • it

it ?

  • Examples
slide-2
SLIDE 2

Contact: linwang wang, lwwang@lbl.gov

Making ne new soli

  • lid sta

tate te mate terials

  • New cry

rystal com

  • mpounds
  • All

lloys

  • Im

Impurity and nd dop

  • ping
  • Modify

fying th the siz ize and nd shape of

  • f th

the mate terial

2 2 B

A

x xB

A 

1

slide-3
SLIDE 3

Contact: linwang wang, lwwang@lbl.gov

Nanostructure as a ne new mate terial Defi finiti tion: Nanostr tructure is is an n assembly of

  • f

nanometer scale “building blocks”. Why na nano nometer scale: This is is is th the scale le when th the properties of these “building blocks” become different fro from bulk lk. siz ize Ele lectron Wavefuncti tion Nanostructure Bot

  • th are

re in in na nano nometers

slide-4
SLIDE 4

Contact: linwang wang, lwwang@lbl.gov

Com

  • mputati

tional challenge

  • Ab ini

initio meth thod ato toms mol

  • lecules

na nanostr tructures bul ulk siz ize 1-100 100 ato toms 1000 1000-10^6 10^6 ato toms In Infi finite (1 (1-10 atom toms in in a unit nit cell ll) method Ab ini initio method

  • Effe

ffective mass meth thod Challenge for for com

  • mputati

tional na nanoscience. Ab ini initio ele lements ts and nd re reli liability New meth thodology and nd algo lgorithm Even lar larger Su Supercomputer (E (ES!)

) (

3

N O

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SLIDE 5

Contact: linwang wang, lwwang@lbl.gov

Number of atoms Accuracy

GW/BSE, Coupled Cluster Empirical Pseudopotential Non-selfconsistent LDA Time dependent DFT Direct LDA

Computational methods: accuracy versus size

101

102

103

104 105 106

slide-6
SLIDE 6

Contact: linwang wang, lwwang@lbl.gov

Ab ini initio dens nsity fun functional calc lculations

) ( ) ( )} ( 2 1 {

2

r E r r V

i i i

     

N i i ,.., 1

} {

2

| ) ( | ) ( r r

N i i

  

) (r V

Se Selfconsistency N ele lectron N wave fun functions Density Functional

slide-7
SLIDE 7

Contact: linwang wang, lwwang@lbl.gov

Two tas tasks for for a hybrid na nano no com

  • mputation meth

thod

) ( ) ( )} ( 2 1 {

2

r E r r V

i i i

     

so

  • we will

ill have th the Hamiltonian. (2) (2) To

  • solv
  • lve th

the sing ingle part rticle Hamiltonian (Schroedinger’s equation), to get the physical properties. (We want ab ini initi tio re reli liability, but t no not t a full full ab ini initi tio calculation) (Not the usual PDE, many eigen states, don’t want and ne need to to solv

  • lve all

ll of

  • f th

them) (1) (1) To

  • ge

get t th the pote

  • tential

V(r (r) [o [or r th the charge dens nsity  (r) (r)]

slide-8
SLIDE 8

Contact: linwang wang, lwwang@lbl.gov

Charge patc tching meth thod Se Selfconsistent LDA ca calculation of

  • f a

a singl ingle gra graphite sheet Non

  • n-selfconsistent LDA

quality pote

  • tential for

for na nanotube Get t info information fro from small syste tem ab in initi itio calc., th then n ge gene nerate th the charge dens nsities for for lar large syste tems

slide-9
SLIDE 9

Contact: linwang wang, lwwang@lbl.gov

Charge patc tching: fre free stan tanding quantu tum dots

  • ts

In In675

675P652

LDA quality calc lculations (e (eig igen ene nergy err rror ~ 20 meV) CBM VBM 64 pro rocessors (IB (IBM SP SP3) for for ~ 1 hou

  • ur

r Total charge density motifs

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SLIDE 10

Contact: linwang wang, lwwang@lbl.gov

Pla lanewave expansion of

  • f th

the wavefunction

q iqr

e q C r ) ( ) ( 

Fast t Fou

  • urier Tra

ransformation betw tween re real space (r) (r) an and Fou

  • urier space C(q

(q).

) ( ) ( )} ( 2 1 {

2

r E r r V

i i i

     

slide-11
SLIDE 11

Contact: linwang wang, lwwang@lbl.gov

Fol

  • lded Sp

Spectr trum Meth thod

i i i

H    

i ref i i ref

H     

2 2

) ( ) (   

N

) ( ) ( )} ( 2 1 {

2

r E r r V

i i i

     

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SLIDE 12

Contact: linwang wang, lwwang@lbl.gov

NERSC NERSC: Nati ational Ene nerg rgy Research Sci Scientific Com

  • mputing Cent

nter Hop

  • pper, C

Cray XE6 machine, 150,0 ,000 com

  • mputing cor
  • res, 1.3

.3 Peta tafl flops

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SLIDE 13

Contact: linwang wang, lwwang@lbl.gov

Examples of

  • f ne

new pro roperties

  • Ban

and gap gap inc increase CdSe quantum dot

  • t
  • Si

Single ele lectr tron effe ffects ts

  • n
  • n tra

trans nsport t (C (Cou

  • ulomb

blo lockade).

  • Mechanical pro

roperties, surface effe ffects and nd no no dis islocations

slide-14
SLIDE 14

Contact: linwang wang, lwwang@lbl.gov

Fre ree stan tanding quantum dots

  • ts

CdSe quantum dot

  • t

TEM im image

  • Chemically synth

nthesised

  • In

Inte terior atom toms are re in in bulk lk cry rystal stru tructure

  • Su

Surface atom toms are re passivated

  • Dia

iamete ter ~ 20-100 A

  • A fe

few th thou

  • usand atom

toms, beyond ab ini initi tio meth thod

slide-15
SLIDE 15

Contact: linwang wang, lwwang@lbl.gov

CdSe qua uantum dots

  • ts as

as biol iological tags tags

  • Optic

tically mor

  • re stab

table th than dye mole

  • lecules
  • Can

n have multi ltiple colo

  • lors
slide-16
SLIDE 16

Contact: linwang wang, lwwang@lbl.gov

Qua uantum dot

  • t wav

avefunctions Cro ross secti tion ele lectron wavefunctions

slide-17
SLIDE 17

Contact: linwang wang, lwwang@lbl.gov

CdSe quantum dot

  • t re

results

slide-18
SLIDE 18

Contact: linwang wang, lwwang@lbl.gov

CdTe na nano nowire Exp: Calc:

slide-19
SLIDE 19

Contact: linwang wang, lwwang@lbl.gov

Quantum dot and wire calculations for semiconductor materials IV-IV: Si III-V: GaAs, InAs, InP, GaN, AlN, InN II-VI: CdSe, CdS, CdTe, ZnSe, ZnS, ZnTe, ZnO

slide-20
SLIDE 20

Contact: linwang wang, lwwang@lbl.gov

Pola

  • larization of
  • f CdSe quantum ro

rods

Cd CdSe qua quantum rod rods The elec lectron wav avefunctio ions of f a a qua quantum ro rods

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SLIDE 21

Contact: linwang wang, lwwang@lbl.gov

Pola

  • larization of
  • f quantum ro

rods (co (continued)

40 30 20 10 2.8 2.4 2.0 1.6 1.2 100 80 60 40 10 8 6 4 2

1.30 1.25 1.20 1.15 1.10

  • 1.45
  • 1.40
  • 1.35
  • 1.30
  • 1.25
  • 1.20
  • 1.15
  • 1.10

2.0 1.8 1.6 1.4 1.2 1.0 Aspect Ratio

Energy (eV)

Stoc Stock shif shift t (m (meV) As Aspect t ratio tio of

  • f the

the qu quantum rod

  • ds

Calc. Expt.

0.6 0.4 0.2 0.0 Polarization 10 8 6 4 2 Aspect ratio

Calc: Expt:

slide-22
SLIDE 22

Contact: linwang wang, lwwang@lbl.gov (a) CBM (xz-plane) (c) CBM (b) VBM (xz-plane) (d) VBM d=5.18 nm [111] x y

Quantum wir ire ele lectronic state tates

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SLIDE 23

Contact: linwang wang, lwwang@lbl.gov

(1) CB1 (3) CB3 (2) CB2 (4) VB1 (6) VB3 (5) VB2

L=9.9nm D=2nm

CdSe quantum dot: arrow shape

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SLIDE 24

Contact: linwang wang, lwwang@lbl.gov

VB VB-1 VB VB-2 VB VB-3 VB VB-4 Diff ifferent Bloc loch state tate characte ters for for th the VB state tates

slide-25
SLIDE 25

Contact: linwang wang, lwwang@lbl.gov

CdSe tetrapod electronic states

slide-26
SLIDE 26

Contact: linwang wang, lwwang@lbl.gov

Cor

  • re/shell quantum dots
  • ts

CBM VBM CdSe CdSe/CdS CdSe/CdTe

slide-27
SLIDE 27

Contact: linwang wang, lwwang@lbl.gov

So Solar cell ll usin ing stab table, abundant, and nd env

  • nv. beni

nign mat Zn ZnO/ZnS cor

  • re/shell wir

ire

Band gap lowers down further from superlattices. The absorption length is similar to bulk Si, thus similar among f material for solar cell.

23% th theoretical effic fficiency for for sola

  • lar cell

ll

slide-28
SLIDE 28

Contact: linwang wang, lwwang@lbl.gov

CdSe cor

  • re ins

inside CdS S na nano norode Hydrodynamic stra train pro rofi file (re (relaxed using ing VFF) 0.02 .02

  • 0.02

0.00 .00 0.01 .01

  • 0.01
slide-29
SLIDE 29

Contact: linwang wang, lwwang@lbl.gov

Wit ithout cor

  • re

Wit ith cor

  • re

The effe ffect t of

  • f th

the CdSe Se cor

  • re to

to ele lectr tron and nd hole

  • le

Gre reen: ele lectr tron, re red: hole

  • le
slide-30
SLIDE 30

Contact: linwang wang, lwwang@lbl.gov

Effe ffect of

  • f surfa

urface dip ipole mom

  • ment

Cd te term rminated surfa rface Cd and nd Se Se te term rminate ted surf rface

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SLIDE 31

Contact: linwang wang, lwwang@lbl.gov

The shift ift of

  • f CdSe cor
  • re
slide-32
SLIDE 32

Contact: linwang wang, lwwang@lbl.gov

How to calculate an exciton in nanosystem?

Mat aterial A Mat aterial B el elect ctron ho hole

What t is is th the bind inding ene nergy of

  • f th

the inte interface exciton ? The approach: G GW+BSE Approximation: GW  LDA+C (for (for bulk lk shor

  • rt

t ra rang nge effe ffect) P(r) (r) (su

(surface imag age po potentia ial, for for lon long ran range effe ffe

BSE SE  CI I calculation CBM VBM

slide-33
SLIDE 33

Contact: linwang wang, lwwang@lbl.gov

) ( ) ( ) ( ) ( ) ( 2 1

2

r r r V r P r V

c c c v C LDA

              

) ( ) ( ) ( ) ( ) ( 2 1

2

r r r V r P r V

v v v c C LDA

              

Natu tural l band nd alig ignment 0. 0.28 eV 0. 0.54 eV

A selfc lfconsistent t calculati tion fo for r a bou

  • und excit

iton

)] , ( ) , ( [ 2 1 ) (

' '

'

r r W r r W Lim r P

bulk r r

 

) ( 4 )] ( ) ( [

2 ) ( ) (

r r V r

C V V C

    

slide-34
SLIDE 34

Contact: linwang wang, lwwang@lbl.gov

CdSe/CdTe Nanorods

 Exciton binding energy: 0.4 to 0.25 eV  Exciton radiative recombination life time: ~1 µs  Correlation effect: < 1 meV for ground exciton state

34 34

10 nm nm

CdTe CdSe

slide-35
SLIDE 35

Contact: linwang wang, lwwang@lbl.gov

CdSe quantum dot

  • t arr

rray, con

  • nnected by Sn

Sn2S6 mole

  • lecule

Tal alapin, et.al t.al, Sci Science (20 (2005 05); Kov

  • valenko, et.al

t.al, Sc Science (20 (2009).

slide-36
SLIDE 36

Contact: linwang wang, lwwang@lbl.gov

What t cause th the ele lectron tra trans nsport ? ? (1) (1) Min ini-band bulk lk lik like tra trans nsport: (2) (2) Thermo acti tivati tion, ov

  • ver

r th the barr rrier (l (like th the Sc Schott ttky barr rrier) (3) (3) Phon

  • non assis

isted hop

  • pping

(e (e.g .g., described by Marcus th theor

  • ry)

ΔE

) / exp( kT E  

slide-37
SLIDE 37

Contact: linwang wang, lwwang@lbl.gov

Sn Sn2S6 atom tomic attac ttachment t to to CdSe surfa rfaces Fla lat surfa rface calculati tion for for th the mole

  • lecule atta

ttachment

slide-38
SLIDE 38

Contact: linwang wang, lwwang@lbl.gov

Div ivide-and-conquer scheme to to ge get t th the charge dens nsity

slide-39
SLIDE 39

Contact: linwang wang, lwwang@lbl.gov

CB CBM

CBM+1 The ele lectron cou

  • upling betw

tween th the tw two

  • state

tates

Natom Size D (nm) V (coupling

meV)

468 2.5 4.1 1051 3.4 1.4 1916 4.3 0.37 3193 5.1 0.14

2V 2V

slide-40
SLIDE 40

Contact: linwang wang, lwwang@lbl.gov

Calculating th the re re-organization ene nergy

Natom Size D (nm) λ (re-org. energy, meV) V (coupling meV, type I) 468 2.5 145 4.1 1051 3.4 62 1.4 1916 4.3 32 0.37 3193 5.1 23 0.14

(1) The λ >> >> V, , so

  • th

the wave fun function will ill be loc localized, it it is is no not t mini ini-band tra transport (2) th the barr rrier heig ight ΔE can n be ~ 2 eV. . It It cannot t be ov

  • ver-the-barrier th

therm rmally excited tra trans nsport. (3) (3) Must be phon

  • non-assisted hop
  • pping tra

trans nsport ΔE CBM LDOS

slide-41
SLIDE 41

Contact: linwang wang, lwwang@lbl.gov

E(Q (QD2)-E(QD1) (e (eV) Hop

  • pping ra

rate te fro from QD1 to to QD2 (1/p (1/ps)

31 3193 93 QD QD 46 468 8 QD QD 1051 1051 1916 1916

So Solid line line: Marcus th theor

  • ry

Dashed line line: quantum tre treatment t of

  • f phon
  • non

Atta ttachment typ type I

The hop

  • pping ra

rate te

slide-42
SLIDE 42

Contact: linwang wang, lwwang@lbl.gov

Situation (QD cubic array, size=4.3nm) Type-I attachment Mobility μ (cm2/V/S) No QD size fluctuation, no connection fluctuation 8.22 x10-2 5% QD size fluctuation, no connection fluctuation 4.80 x 10-2 5% QD size fluctuation, uniform connection fluctuation 1.02 x 10-2 Experiment, size=4.5nm 3 x 10-2

Carrier mob

  • bility

ty of

  • f th

the QD arr rray in in small carr rrier dens nsity lim limit

slide-43
SLIDE 43

Contact: linwang wang, lwwang@lbl.gov

฀  [1 22 Vtot(r)]i(r) ii(r)

Why are quantum mechanical calculations so expensive?

 If the size of the system is N:  N coefficients to describe one wavefunction  i = 1,…, M wavefunctions , M is proportional to N.  Orthogonalization: M2 wavefunction pairs

each with N coefficients: N*M2, i.e N3 scaling.

r d r r

j i 3 *

) ( ) (  

The rep repeated ca calc lculation of f the these orth rthogonal l wavefunctions make the the co computation ex expensive, , O(N (N3). ). For lar large syste tems, , an an O(N (N) met ethod is is crit critical

฀  i(r) ฀  i(r)

slide-44
SLIDE 44

Contact: linwang wang, lwwang@lbl.gov

F F

Total = ΣF {

}

Phy Phys. . Re Rev.

  • v. B

B 77 77, , 16 1651 5113 13 (2 (200 008); ; J.

  • J. Phy

Phys: : Co Cond

  • nd. Matt

att. . 20 20, , 29 2942 4203 03 (2 (200 008)

ρ(r (r)

LS3DF: 1D Example

slide-45
SLIDE 45

Contact: linwang wang, lwwang@lbl.gov

(i,j,k) Fragment (2x1) Interior area Artificial surface passivation Buffer area Bou

  • undary effe

ffects are re (ne (nearly) cancelled ou

  • ut

t betw tween th the fra fragm gments

Total = ΣF {

F F

}

F F

 

       

k j i

F F F F F F F F System

, , 111 122 212 221 112 121 211 222

Similar procedure extends to 2 and 3D

slide-46
SLIDE 46

Contact: linwang wang, lwwang@lbl.gov

A example of

  • f th

the glob global syste tem and nd th the fra fragments ts

slide-47
SLIDE 47

Contact: linwang wang, lwwang@lbl.gov

Schematics for LS3DF calculation

slide-48
SLIDE 48

Contact: linwang wang, lwwang@lbl.gov

No

  • selfc

lfconsiste tent t pro roblem for for th the glob global syste tem

slide-49
SLIDE 49

Contact: linwang wang, lwwang@lbl.gov

 Cro Cross ove ver wit with dir direct LDA LDA met ethod [PE [PEtot] t] is s 50 500 0 ato atoms.  Si Simil ilar to to oth ther O(N O(N) meth ethods.

Operation counts

(x (x1012

12)

slide-50
SLIDE 50

Contact: linwang wang, lwwang@lbl.gov

ZnTeO alloy weak scaling calculations

  • Fir

irst lar large scale ru run n on

  • n Fra

ranklin at t NERSC: 135 Tflop flops/s, 40% effic fficiency

  • Su

Subsequent ru runs ns on

  • n In

Intre trepid at t ALCF: 224 Tflop flops/s, 40% effic fficiency

  • Fin

inal ru runs ns on

  • n Ja

Jagu guar XT5 at t NCCS: 442 Tflop flops/s, 33% effic fficiency

No Note: Ecut cut = = 60 60Ryd wit with d state states, up up to to 36 36864 ato atoms

Perf rformance [ [ Tflop flop/s]

50 100 150 200 250 300 350 400 450 500 50,000 100,000 150,000 200,000 TFlop/s . Cores

LS3DF

Jaguar Intrepid Franklin

Number of

  • f cor
  • res
slide-51
SLIDE 51

Contact: linwang wang, lwwang@lbl.gov

A mor

  • re deta

tail example of

  • f th

the Zn ZnO na nano norod syste tem

Num Num ato atom: 27 2776 Num Num ele elect ctron: 24 24220 Rea eal spac space gri rid: 72 720x 0x300x300 Fra ragment div divid idin ing grid rid: 18 18x6x6

slide-52
SLIDE 52

Contact: linwang wang, lwwang@lbl.gov

Con

  • nclusion

Fir irst t pri rinciple calculation New algo lgorithm methodology Large scale supercomputer Mil illions atom tom na nanostr tructures + +