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1 Department of Materials Science and Engineering, Kyoto University, JAPAN 2 Elements Strategy Initiative for Structural Materials, Kyoto University, JAPAN 3 Center for Materials Research by Information Integration, NIMS, JAPAN 4 Nanostructure Research Laboratory, Japan Fine Ceramics Center, JAPAN Isao Tanaka 1,2,3,4 Real and virtual screening for materials discovery through first principles calculations

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Page 1: Real and virtual screening for materials discovery through ...helper.ipam.ucla.edu/publications/mpsws1/mpsws1_13545.pdfReal and virtual screening for materials discovery through first

1 Department of Materials Science and Engineering, Kyoto University, JAPAN2 Elements Strategy Initiative for Structural Materials, Kyoto University, JAPAN3 Center for Materials Research by Information Integration, NIMS, JAPAN4 Nanostructure Research Laboratory, Japan Fine Ceramics Center, JAPAN

Isao Tanaka1,2,3,4

Real and virtual screening for materials discovery through first principles calculations

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Enormous number of chemical combinations

Number of chemical elements

Number of chemical combinations

(only for simple composition ratio)

1 ~1002 ~100,0003 ~10,000,0004 ~1,000,000,000

Periodic Table

2

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Inorganic Crystal Structure Database (ICSD)

177,000 crystal structures 40,000 structures

excluding duplicates,incompletes, etc.

World largest databasefor known inorganic crystals.

3

Many systems are yet-unexplored !

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First Principles Calculations

Useful to fill the gap between enormous number of chemical combinations and experimental database.

Electronic structure calculations entirely based on quantum theory without using empirical parameters.

Total energyForce/StressElectronic/Magnetic structuresPhysical properties・・・・

But this is not a magic box !!4

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ICSD~40k

Materials Project~60k

OQMD~400k hypothetical

compounds for given structures

aflowlib~1.3M hypothetical

compounds for given structures

Vast chemistry space to explore

first principles database

experimental database for crystal structure

IMPORTANT!First principles calculation requires an initial “guess” of structure,otherwise it becomes too expensive to explore the vast space.

Simple chemical combinations AaBbyCcDd (a,b,c,d <10)~1B

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ICSD~40k

Vast chemistry space to explore

OQMD~4.5k

candidates for thermodynamically

stable ternary compounds(Chris Wolverton’s talk)

Simple chemical combinations AaBbyCcDd (a,b,c,d <10)~1B

thermodynamically unstable compounds

thermodynamically (meta)stable compounds

experimental database for crystal structure

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ICSD~40k

Vast chemistry space to explore

experimental database for crystal structure

thermodynamically (meta)stable compounds

experimental databasefor physical properties

>>1k

Systematic method to add as-yet-unknown & stable compounds to the inorganics database is desired.

It is still worthy to explore the space of known compounds.

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High throughput screening 1

“Real Screening” DFT database

Construction of DFT database

High throughput screening with “descriptors”

PhysicalRule

Experts’knowledge

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High throughput screening 2

“Virtual Screening”

9

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Materials discovery through first principles calculations

Discovery of a new Sn(II)-based oxide

for daylight-driven photocatalystREAL SCREENING

Discovery of new low thermal conductivity materialsfrom Mat. Proj. database (55,000 crystals)

VIRTUAL SCREENING

10

Contents

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Accelerated discovery of a novel Sn(II)-based oxide for daylight-driven photocatalyst

11

Hiroyuki Hayashi, Shota Katayama, Takahiro Komura, Yoyo Hinuma, Tomoyasu Yokoyama, Kou Mibu, Fumiyasu Oba and IT

Hiroyuki Hayashi

Advanced Science 9, (2016). 1600246

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• Solar cells & daylight‐driven photocatalysts• Target band‐gap rangeSolar cell absorber: 1.2 – 2.0 eVPhotocatalyst: 1.5 – 3.0 eV

Sustainable energy: Sunlight

IR

UV

Nitrides

Popular oxide/nitridesemiconductors

BNAlN

GaN

InN

Band

 gap

 (eV)

0

1

2

3

4

5

6

7

Oxides

Cu2O

TiO2ZnO In2O3

SnO2

Ga2O3

Photon energy (eV)

IR UV

AM1.5 spectrum*)

0 1 2 3 4 5 6 7

Intensity

 (arb. units)

*) http://rredc.nrel.gov/solar/spectra/

12

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IR

UV

Nitrides

Popular oxide/nitridesemiconductors

BNAlN

GaN

InN

Ban

d ga

p (e

V)

0

1

2

3

4

5

6

7

Oxides

Cu2O

TiO2ZnO In2O3

SnO2

Ga2O3

Lone pair oxides: Sn(II), Pb(II) & Bi(III)

• Characteristic electronic structures

• Narrower band gap• Wider valence band

13

Sn

O

Lone pair

Conduction band

Valence band

Main‐group element oxide

O‐2p

cation‐sp

Energy

Conduction band

Valence band

Sn(II) oxides

O‐2p

Sn‐5p

Energy

Sn‐5s

IR

UV

Nitrides

Popular oxide/nitridesemiconductors

BNAlN

GaN

InNB

and

gap

(eV

)

0

1

2

3

4

5

6

7

Oxides

Cu2O

TiO2ZnO In2O3

SnO2

Ga2O3

SnO

Lone pairmaterials

PbOBi2O3

SnSSn3O4

Main group element‐oxides

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Known oxides: Sn(II), Pb(II) & Bi(III)14

Sn(II) oxides are yet‐unexplored !

Sn(II)‐M‐O

Pb(II)‐M‐O

Bi(III)‐M‐O

SystemCompoundsregistered in 

ICSDSn(II)‐M‐O 47Pb(II)‐M‐O 210Bi(III)‐M‐O 213

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Chemical composition of interest

q M Known Compounds

4 Ti, Zr, Hf SnTiO3, Sn2TiO4

5 V, Nb, Ta SnNb2O6, Sn2Nb2O7, SnTa2O6, Sn2Ta2O7, SnTa4O11

6 Cr, Mo, W SnWO4, Sn2WO5, Sn3WO6

SnO‐MOq/2

15

Only 10 oxides are known.

Sn(II)‐M‐O

SnO‐MOq/2 pseudo binary systems

4A – 6A transition metal compounds• Commonly used for photocatalysts

ex. TiO2, WO3, NaTaO3, TaON, … • Wide band gaps

Sn(II) oxides• Relatively narrow band gaps

Reported as good photocatalyst.

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Inorganic Crystal Structure Database (ICSD)

Number of chemical elements

Number of structure prototypes in ICSD

1 1202 1,7003 4,7004 4,300

World largest databasefor known inorganic crystals.

16

177,000 crystal structures 40,000 structures

excluding duplicates,incompletes, etc.

9,100 structure prototypes(e.g. rock-salt, perovskite, ...)

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Crystal structures

q Number of prototype structures in ICSD Examples

4 586 Pb3O4, AlFeO3, NdYbS3, …

5 207 K2ZrF6, Bi2WO6, …

6 368 CrUO4, β‐SnWO4, …

17

Total: 1,163x3 = 3,483 candidate oxides

NdYbS3 type NdYbS3 NdYbS3 type SnTiO3

Prototypes of A(II)‐M(q+)‐oxides

Total : 1,161 crystal structures

SnO‐MOq/2 pseudo binary systems

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Screening procedure1. Candidates generation : DFT calculations

• 3,483 candidates

2. Phase stability• Formation energy vs. SnO and MOq/2

3. Band gap (Eg) by GGA(PBE)• Criterion:    Eg > 2 eV

4. Band edge position (εCBM and εVBM) by GGA(PBE)• Criterion:  εCBM > H+/H2 level and εVBM < O2/H2O level 

18

/ /

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Phase stability19

Ene

rgy

A BABComposition

Convex hull

Phase separation

different structures

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Formation energy

• SnO‐WO3 pseudo binary system

20

SnO WO3

Convex hull

Included in ICSD

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Formation energy

• SnO‐MoO3 pseudo binary system

21

SnO MoO3

Convex hull

as‐yet‐unknown

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Formation energy22

Reported oxides in ICSD(Red characters) are located onthe convex hull.

• Convex hull of SnO‐MOq/2 pseudo binary systems

Band gap screening

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Band gap23

• Band gap of actual photocatalysts ≥ 2 eV (GGA) 

2 ~ 3 eV

1 ~ 2 eV

0 ~ 1 eV

over 3 eV

Band gap

• SnO‐Ta2O5• SnO‐WO3• SnO‐MoO3

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Band edge position24

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Experimental results

• Synthesis of β‐SnMoO4

25

Mixture of SnCl2 and K2MoO4 powders

1 hour annealing in Ar gas

Washed and dried

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Crystal structure of SnMoO4

• Newly discovered compound

26

498 K‐synthesized sampleSpace group type: P213

(Cubic)Lattice constant: a = 7.26 Å

Sn

O

Mo

a b

c

Trigonal prism which ischaracteristic of Sn(II)

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Photocatalytic activity of SnMoO4

• Degradation of methylene blue under simulated day‐light

27

Newly‐discovered SnMoO4 powder exhibits clear photocatalytic activity.

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Discovery of new low thermal conductivity materials

First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization

28

Atsuto Seko, Atsushi Togo, Hiroyuki Hayashi,

Koji Tsuda, Laurent Chaput, and IT

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Find ultra-low thermal conductivity materials of 0.1W/m·K level

in Mat. Proj. database (55,000 crystals)

29

diamond

>2000

Thermal conductivity

Ther

mal

con

duct

ivity

(W

/m·K

)

AlN

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Background

Reliable experimental dataset is limited ( < 100 crystals).

Reliable first principles calculations are very expensive.

(CC5 class : 1 day/100 cores for 1 simple crystal.)

Little knowledge to predict LTC deductively.

(Simple rule to determine LTC is not clear.)

Thermal Conductivity (TC)κ = κelectonic + κlattice

Lattice Thermal Conductivity (LTC)

Materials search has been made through “modification” of known compounds showing high/low LTC.

30

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Cost for First Principles Calculations

CC1

CC0

CC2

CC3

CC4

CC5

1min

1hour

1day

1 week

1 yearCom

puta

tiona

l Cos

t with

1 co

re

Structure opt.

2x2x2 supercell Single shot GGA

Single shot GGA

Phonon frequency

Lattice thermal conductivity

Diffusivity by FPMD simulation

1000 atoms cell Single shot GGA

CC5

CC6

1min

1hour

1day

1 week

1 yearCom

puta

tiona

l Cos

t with

100 c

ores

CC7

10 nodes

31

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Thermoelectric materials

Figure of Merit

∶ Seebeckcoefficient:electricalconductivity:thermalconductivity

Power

High T

Heat flux

Low T

Electric current

Electric currentElectric current

p-typen-type

32

Essential for utilizing otherwise waste heat.

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Phonon-phonon scattering (phonon anharmonicity)Harmonic phonons do not interact.

q'

q

q''

Physical origin of thermal resistivity

phonon

phonon

33

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phonopy: open source for ab-initio phonon calcshttp://phonopy.sf.net/

34

Free Energy Volume ThermalExpansion

Free Energy

CV

EntropyPhonon dispersion

Atsushi TOGOKyoto Univ.

Num

ber o

f cita

tions

Web of Science 2016 August

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First principles phonon database

Structure Databasee.g. ICSD, Atomwork, ...

phonopy

First principles enginee.g. VASP, Quantum Espresso

Abinit, etc...

Phonon DatabaseAn open database

DFT Databasee.g. Mat. Proj.,OQMD, aflowlib

35

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Phonon Database @ Kyoto University

http://phonondb.mtl.kyoto-u.ac.jp/

36

d: phonon-DOS

t: thermal properties at constant volume

g: mode-Grüneisenparameters

q: physical properties at 0GPa

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Phonon Database @ Kyoto University

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Ab-initio Lattice Thermal Conductivity (LTC)

Atsushi TOGO

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39

Lattice Thermal Conductivity (LTC)@300K

First principles calculation vs. Experimental data phono3py

Reliable calculations whose accuracy are comparable to experiments!

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Virtual Screening

40

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Candidates of descriptors for LTCModel 1: Volume V and Density ρ

Model 2: Model 1 + primitive elemental descriptorsH Li Be B C N O F ···

LiH 1 1 0 0 0 0 0 0LiF 0 1 0 0 0 0 0 1

BeO 0 0 1 0 0 0 1 0BN 0 0 0 1 0 1 0 0··· 41

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42

∗ ∗ ∗⁄Z‐score

log κ The higher Z-score, the lower predicted LTC !

Ranking of LTC for 54,779 compounds in MPD library

“Virtual screening”

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43

Top 10 lowest LTC compounds among 54,779Virtual screening of 54,779 compounds in MPD library

ab initio LTC

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44Newly discovered !!

Lattice Thermal Conductivity (LTC)

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Thermoelectric materials

Figure of Merit

∶ Seebeckcoefficient:electricalconductivity:thermalconductivity

Power

High T

Heat flux

Low T

Electric current

Electric currentElectric current

p-typen-type

45

Essential for utilizing otherwise waste heat.

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46

Top 10 lowest LTC compounds among 54,779Virtual screening of 54,779 compounds in MPD library

ab initio LTC

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with low LTC of < 0.5 W/mK (@300 K)

and narrow band gap of < 1 eV.

Newly discovered candidates for thermoelectrics

A. Seko, A. Togo, H. Hayashi, K. Tsuda, L. Chaput, and IT PRL (2015) 115, 205901. 47

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48

Summary

Materials discovery through first principles calculations

Discovery of a new Sn(II)-based oxide

for daylight-driven photocatalystREAL SCREENING

Discovery of new low thermal conductivity materialsfrom Mat. Proj. database (55,000 crystals)

VIRTUAL SCREENING

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Fin