density functional theory methods for transport and

18
Density Functional Theory Methods for Transport and Optical Properties: Application to Warm Dense Silicon V. V. Karasiev University of Rochester Laboratory for Laser Energetics 48th Annual Anomalous Absorption Conference, Bar Harbor, ME 8–13 July 2018 1 • Significant K-edge shift in dense silicon is predicted • Astrophysics opacity table (AOT) data fail to predict it t (g/cm 3 ) 0 100 200 300 400 500 1800 1900 2000 2100 2200 K-edge position (eV) Si, T = 62.5 kK DFT (shifted by 50 eV) AOT

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Density Functional Theory Methods for Transport and Optical Properties: Application to Warm Dense Silicon

V. V. KarasievUniversity of RochesterLaboratory for Laser Energetics

48th Annual Anomalous Absorption Conference,

Bar Harbor, ME8–13 July 2018

1

• Significant K-edge shift in dense silicon is predicted

• Astrophysics opacity table (AOT) data fail to predict it

t (g/cm3)

0 100 200 300 400 5001800

1900

2000

2100

2200

K-e

dg

e p

osi

tio

n (

eV)

Si, T = 62.5 kK

DFT (shifted by 50 eV)AOT

TC14292

Finite-temperature density functional theory (DFT) is a powerful tool to accurately predict properties of matter at a wide range of densities across temperature regimes [warm-dense-matter (WDM) conditions]

• Exchange-correlation (XC) thermal effects in simulations of WDM are taken into account via use of a temperature-dependent XC functional

• A set of accurate all-electron pseudo-potentials for the calculation of x-ray absorption near edge structure (XANES) spectra has been constructed

• Absorption coefficients and opacities of silicon (densities between 0.1 and 500 g/cm3 and temperature between 0.5 and 1000 eV) have been calculated

2

Summary

Collaborators

S. X. Hu

University of Rochester Laboratory for Laser Energetics

L. Calderin

University of Arizona

3

Acknowledgement:NERSC, supported by the U.S. Department of Energy

under Contract No. DE-AC02-05CH11231Laboratory for Laser Energetics

E25548c

Silicon is important to HED physics, such as planetary science and ICF capsules

Motivation

4

Planetary science* ICF capsule**NIF

OMEGA

11 to 14 nm CHSi (6%) 1 to 2 nm mid-Z (Z = 6 to 14, Si) 6 nm Be125 nm DT

4 nm CHSi (6%) 0.5 to 1 nm mid-Z 3 nm Be45 nm DT

1350 nm

• The high-pressure silicon equation of state (EOS) is crucial to understanding the dynamics of silicon-rich planets (i.e., Earth)

• Silicon is used in ICF capsules to reduce fuel preheat and laser–plasma instability (LPI) effects

* http://www.nasa.gov/sites/default/files/images/607068main_world-unlabeled.jpg ** V. N. Goncharov et al., Phys. Plasmas 21, 056315 (2014).

HED: high-energy density ICF: inertial confinement fusion NIF: National Ignition Facility

TC14293

Warm dense matter is of interest in planetary science, astrophysics, and ICF

• Classical plasma approaches work only for weakly coupled nondegenerate systems (C% 1: low density, very high temperature)

5

• All regions except left-upper corner require quantum treatment of electronic degrees of freedom

• Most of (semi-) classical models are inaccurate or fail

C = e2 / rskBT $ 1: the Couloumb coupling parameteri = t = T/TF á 1: reduced temperatureTF: Fermi temperature

182

4

6

8

10

20 22

Cla

ssic

alp

lasm

a

IdealFermi gas

White dwarfHE envelope

White dwarfs

Earth coreDiamond anvils

Metals

XFEL

ICFr s =

10

r s =

1

24 26 28

C = 1

i = 1i = 10

i = 0.1

30

log

10 T

/K

log10 n/cm–3

Shock wavesShock wavesSolar coreSolar core

WDM

r s =

0.1

r s =

0.1

Red giantsRed giants

ExoplanetsExoplanets

Jupiter coreJupiter core

HE: high energyXFEL: X-ray free-electron laser

Schematic temp.-density diagram (PR 744, 1 (2018))

TC14294

Thermal DFT coupled with ab initio molecular dynamics (AIMD) has become a standard tool in high-energy-density physics (HEDP)

Molecular dynamics

Born–Oppenheimer energy surface:

6

The current best practice uses free-energy DFT with one-electron Kohn–Sham orbitals

The Kohn–Sham scheme replaces the (3Ne)-dimensional problem by Ne-coupled 3-D problems

Thermodynamic data

Start

Ion distribution

Pseudo-potential

Veff

E [t(r)]Moleculardynamics

Electrondensityt(r)

E min?

MD step

No

Yes

DFT step

Kohn–Sham equation

fk – zk

:dn n r v r n r–F ext nX = +^ ^ ^ ^h h h h6 @#:n n n nF F F FH xcs= + +^ ^ ^ ^h h h h

:nFH ^ h:nFxc ^ h

:nFs ^ h

V R R E Rion ion–X= +^ ^ ^h h h" " ", , ,

MD: molecular dynamics

grand potential

free-energy functional

Hartee energy

XC energy

non-interacting (Kohn–Sham) free energy

Free-energy density functionals:

– , , ....,m R V R R RI I I N1 2d=p v ^ h

TC14295

DFT-based AIMD makes it possible to calculate many material properties required for simulations of ICF implosions and provides predictions for HEDP experiments

Some of material properties accessible from DFT-based AIMD simulations

• Equation of state

• Thermal conductivity

• Electrical conductivity

• Reflectivity

• Absorption coefficients " Rosseland and Planck mean opacities

HEDP requires development of new methods and functionals to accurately predict matter properties

• Temperature-dependent exchange-correlation functionals are required to take into account the XC thermal effects

• All-electron (i.e., with active 1s-core electrons) pseudo-potentials are needed for x-ray absorption calculations

7

TC13730

A framework for temperature-dependent XC functionals has been developed to address the issue of thermal effects

Exchange

Constraints

• Reproduce finite-temperature gradient expansion

• Satisfy Lieb–Oxford bound at T = 0

• Reduce to correct T = 0 limit

• Reduce to correct high-temperature limit

Constraints

• Reproduce finite-temperature gradient expansion

• Reduce to correct T = 0 limit

• Reduce to correct high-temperature limit

Correlation

8

, , dF n T n f n T F s T rGGA LDAx x x x2= ^ ^h h6 6@ @#

, , , ;s n n T s n n B tx x22d d/ u^ ^ ^h h h

, ; /f n T n A t t T TLDA LDAFx x xf= =u^ ^ ^h h h

, , , dF n T n f n n T rcGGA

cGGA d= ^ h6 @ #

GGA correlation energy per particle:

, , , ,f n n T f n T H f q TcGGA

cLDA

cLDA

cd = +^ ^ ^h h h8 B, , , ,q n n T q n n B n tc cd d/ u^ ^ ^h h h

* V. V. Karasiev, J. W. Dufty, and S. B. Trickey, “Non-Empirical Semi-Local Free-Energy Density Functional for Matter Under Extreme Conditions.” Phys. Rev. Lett. 120, 076401 (2018).

Generalized gradient approximation (GGA)

• The real part of electrical conductivity v1 and thermal conductivity l are given in terms of the Onsager coefficients Lmn

• The frequency-dependent Onsager coefficients are defined in terms of the velocity operator matrix elements:

• The imaginary part v2 could be calculated via Kubo Greenwood formula in terms of the velocity operator matrix elements or alternatively from the principal value integral

TC14297

Electronic transport coefficients are calculated from ab initio simulations within the framework of the Kubo–Greenwood approach (linear response theory)

9

; ;i L T L LL1 –1 2 1 11 22

11

122

v v v v l= + = = d n

ki kj2

d} }a

The dielectric function and index of refraction (Re and Im parts, n and k):

The reflectivity absorption coefficient and grouped Rosseland mean opacity:

i n ik1 22f ~ f ~ f ~ ~ ~= + = +^ ^ ^ ^ ^h h h h h6 @ –

rn k

n k

1

12 2

2 2~

~ ~

~ ~=

+ +

+^ ^^

^^h h

hhh6

6 @@

n c4

1~ ~a~r v=^ ^ ^h h h

;n k2 2–1 1+

~f ~ f ~

~f ~ f ~

= =^ ^ ^ ^ ^ ^h h h h h h;1 4 4–1 2 2 1f ~ ~

rv ~ f ~ ~rv ~= =^ ^ ^ ^h h h h

:,

,

d

d

K

n TB T

n TB T

1R

m

1 22

2

1

21

2

2

2

2

2

~ ~

~a ~

~~

~~

~

=

~

~~

~

^^

^

^

^

^hh

h

h

h

h#

#

L. Calderín, V. V. Karasiev, and S. B. Trickey, Comput. Phys. Commun. 221, 118 (2017).

TC14300

Calculation of optical properties within the x-ray range involves transitions from core states " explicit treatment of 1s electrons in electronic structure calculations is required

• There is a need for an “all-electron” pseudo-potential (PP) to treat 1s states

• We constructed an all-electron PP for Si, rc = 0.75 bohr

• Converged cutoff energy: Ecut = 400 Ry = 5.4 keV

10

Convergence study of the total energy and pressure with regard to Ecut for all-electron PP for Si64 atoms molecular-dynamics snapshot (t = 2.57 g/cm3, T = 2000 K)

–7.878

–7.876

–7.874

–7.872

En

erg

y (k

eV/a

tom

)

0

1

2

2 4 6 8 10

3

4

P (

GP

a)Cutoff energy (keV)

Ecut = 5.4 keV

Si64, 2.57 g/cm3, 2 kK

TC14301

Convergence study of absorption with regard to pseudopotential cutoff radius for Si1, t = 9.0 g/cm3, and T = 62,500 K

11

106

105

104

103

10210 100

Si1–sc, t = 9.0 g/cm3, T = 62.5 kK

1,000 10,000

~ (eV)

Ab

sorp

tio

n (

cm–1

)

rc = 0.75 bohr, Ecut = 11 keVrc = 0.60 bohr, Ecut = 11 keVrc = 0.40 bohr, Ecut = 22 keVrc = 0.20 bohr, Ecut = 27 keVrc = 0.12 bohr, Ecut = 76 keV

TC14303

A novel method of extending calculations to the x-ray range was proposed: combine the MD snapshot (Si32) and single-atom (Si1) data for absorption: Si32 data at ~ < 300 eV and Si1 data at ~ > 300 eV

12

100

101

102

103

104

105

106

107

Si: t = 9 g/cm3, T = 62.5 kK, rc = 0.20 bohr

Energy (eV)

–2000 0

EF

2s–2p

1s

2000 4000 6000 80000.01

0.1

1

10

100

1000

DO

S (

1/eV

)

Ab

sorp

tio

n (

cm–1

)

100 101 102 103 104

~ (eV)

Si32: d = 4.0 eV, ~ < 300 eV Si1: d = 60.0 eV, ~ < 300 eV

t = 9 g/cm3, T = 62.5 kK

DOS, Si32, Nb = 8192DOS × 32, Si-sc, Nb = 8192

MD: molecular dynamicsDOS: density of states

TC14302

Comparison to the NIST reference data for Si absorption, t = 2.33 g/cm3, T = 300 K confirms accuracy of the method; some discrepancies are observed at low ~

13

105

104

103

102

101100 101 102 103 104

~ (eV)

Ab

sorp

tio

n (

cm–1

)

106

107

Si: t = 2.33 g/cm3, T = 300 K

Si64 MDSi1NIST data

NIST: National Institute of Standards and Technology

TC14304

Comparison between the AOT and DFT data for opacity, silicon, t = 9.0 g/cm3, T = 62,500 K shows good agreement only at some conditions

14

105

104

103

102

101

Ro

ssel

and

mea

n o

pac

ity

(cm

2 /g

)

100

10–1

106

101 102 103 104 105

~ (eV)

Si, t = 9 g/cm3, T = 62,500 K

AOT, 10 g/cm3, T = 58,000 KAIMD, Si32, = d1Le = 4 eV, D~ = 8 eV Si-sc, d = 60 eV, D~ = 4 eV

AOT: astrophysics opacity table

TC14305

Comparison between the AOT and DFT data for total opacity, silicon t = 50 g/cm3 K shows discrepancy at T < 30 eV

15

• AOT data are not accurate at low temperatures• The same trend previously was observed in AOT

data for other materials D2 and CH*

Tota

l Ro

ssel

and

op

acit

y (c

m2 /

g)

103

104

105

101 102

T (eV)

AOTDFT, d = 40 eV

Si, t = 50 g/cm3

S. X. Hu et al., Phys. Rev. E 90, 033111 (2014);S. X. Hu et al., Phys. Rev. B 96, 144203 (2017).

TC14306

We predicted the K-edge shift of the x-ray absorption spectra in dense silicon as a result of continuum lowering and Fermi surface rising effects*

16

10

1.0

0.1

0.01

DO

S (

1/eV

)

1.0

0.1

0.01

0.001

DO

S (

1/eV

)

Energy (eV)

–1500–2000 –1000 –500 0 500 1000 1500 3500

1.0

0.1

0.01

0.001

DO

S (

1/eV

)105

104

103

102

am

(cm

2 /g)

105

104

103

102

am

(cm

2 /g)

0 500 1000 1500 2000 2500 3000

105

104

103

102

am

(cm

2 /g)

~ (eV)

EF

2s 2p

1s

1s

1s

EF

2s 2p

EF

2s 2p

t = 2.33 g/cm3, T = 62.5 kK

t = 50 g/cm3, T = 62.5 kK

t = 250 g/cm3, T = 62.5 kK t = 250 g/cm3

t = 50 g/cm3

t = 2.50 g/cm3

* S. X. Hu, Phys. Rev. Lett. 119, 065001 (2017).

TC14307

K-edge shift in dense silicon is significant; AOT data fail to predict the shift

17

t (g/cm3)

0 100 200 300 400 5001800

1900

2000

2100

2200

K-e

dg

e p

osi

tio

n (

eV)

Si, T = 62.5 kK

DFT (shifted by 50 eV)AOT

• LLE is planning experiments on OMEGA for experimental measurements of the K-edge shift

TC14292

18

Summary/Conclusions

• Exchange-correlation (XC) thermal effects in simulations of WDM are taken into account via use of a temperature-dependent XC functional

• A set of accurate all-electron pseudo-potentials for the calculation of x-ray absorption near edge structure (XANES) spectra has been constructed

• Absorption coefficients and opacities of silicon (densities between 0.1 and 500 g/cm3 and temperature between 0.5 and 1000 eV) have been calculated

Finite-temperature density functional theory (DFT) is a powerful tool to accurately predict properties of matter at a wide range of densities across temperature regimes [warm-dense-matter (WDM) conditions]