simulation of ir and raman spectra of crystals

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06/08/2015 1 Lorenzo Maschio , 1 Bernard Kirtman, 2 Michel Rérat, 3 Simone Salustro, 1 Marco De La Pierre, 1 Roberto Orlando, 1 Roberto Dovesi 1 1) Dipartimento di Chimica, Università di Torino and NIS 2) Dept. of Chemistry and Biochemistry, University of California, Santa Barbara 3) Equipe de Chimie Physique, Université de Pau, France [email protected] Simulation of infrared and Raman spectra Todays menu

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Page 1: Simulation of IR and Raman Spectra of Crystals

06/08/2015

1

Lorenzo Maschio,1 Bernard Kirtman,2 Michel Rérat,3 Simone Salustro,1

Marco De La Pierre,1 Roberto Orlando,1 Roberto Dovesi1

1) Dipartimento di Chimica, Università di Torino and NIS

2) Dept. of Chemistry and Biochemistry, University of California, Santa Barbara

3) Equipe de Chimie Physique, Université de Pau, France

[email protected]

Simulation of infrared and Raman

spectra

Today’s menu

Page 2: Simulation of IR and Raman Spectra of Crystals

06/08/2015

2

Appetizer

Today’s menu

Appetizer

Main course - Theory

Today’s menu

Page 3: Simulation of IR and Raman Spectra of Crystals

06/08/2015

3

Appetizer

Main course - Theory

Cheese - From theory to experiment

Today’s menu

Appetizer

Main course - Theory

Cheese - From theory to experiment

Dessert - Some simulated spectra

Today’s menu

Page 4: Simulation of IR and Raman Spectra of Crystals

06/08/2015

4

Appetizer

Main course - Theory

Cheese - From theory to experiment

Dessert - Some simulated spectra

Today’s menu

Coffee

1. The Appetizer

Page 5: Simulation of IR and Raman Spectra of Crystals

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5

Mg3Al2Si3O12

Cubic,

80 atoms in the

unit cell

Pyrope

Raman

spectrum,

a long story

Hofmeister et al. 1991

Pyrope

Page 6: Simulation of IR and Raman Spectra of Crystals

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6

Hofmeister et al. 1991

All 25 Raman active

modes were assigned

Pyrope

Simulation

Experiment

Pyrope

Page 7: Simulation of IR and Raman Spectra of Crystals

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Chaplin et al. 1998

Method:

Classical dynamics

Pyrope

Simulation

Experiment

Pyrope

Page 8: Simulation of IR and Raman Spectra of Crystals

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8

Pyrope

Kolesov and Geiger 2000

Pyrope

Page 9: Simulation of IR and Raman Spectra of Crystals

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Simulation

Experiment

Pyrope

Pyrope

To be continued...

Page 10: Simulation of IR and Raman Spectra of Crystals

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2. Main Course - Theory

A little bit of history

CRYSTAL95

CRYSTAL98 Energy, electronic structure

Lorenzo Maschio [email protected]

Page 11: Simulation of IR and Raman Spectra of Crystals

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11

CRYSTAL95

CRYSTAL98

CRYSTAL03

Energy, electronic structure

Geometry optimization

Lorenzo Maschio [email protected]

A little bit of history

CRYSTAL95

CRYSTAL98

CRYSTAL03

CRYSTAL06

Energy, electronic structure

Geometry optimization

Frequencies (peak positions),

infrared intensities (numerical)

Lorenzo Maschio [email protected]

A little bit of history

Page 12: Simulation of IR and Raman Spectra of Crystals

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12

CRYSTAL95

CRYSTAL98

CRYSTAL03

CRYSTAL06

Energy, electronic structure

Geometry optimization

CRYSTAL09 Polarizabilities

Lorenzo Maschio [email protected]

A little bit of history

Frequencies (peak positions),

infrared intensities (numerical)

CRYSTAL95

CRYSTAL98

CRYSTAL03

CRYSTAL06

CRYSTAL14

Energy, electronic structure

Geometry optimization

CRYSTAL09 Polarizabilities

Raman Intensities

A little bit of history

Frequencies (peak positions),

infrared intensities (numerical)

Page 13: Simulation of IR and Raman Spectra of Crystals

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Page 14: Simulation of IR and Raman Spectra of Crystals

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IR and non-resonant Raman intensities

= electric field

= Atomic displacement

Lorenzo Maschio [email protected]

Born Charges (IR intensities): derivative of the dipole moment

IR and non-resonant Raman intensities

= electric field

= Atomic displacement

Lorenzo Maschio [email protected]

In CRYSTAL06 through Wannier functions:

numerical derivatives in direct space

Born Charges (IR intensities): derivative of the dipole moment

Page 15: Simulation of IR and Raman Spectra of Crystals

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In CRYSTAL09 through Berry Phase:

numerical derivatives in reciprocal space

IR and non-resonant Raman intensities

Born Charges (IR intensities): derivative of the dipole moment

= electric field

= Atomic displacement

Lorenzo Maschio [email protected]

In CRYSTAL06 through Wannier functions:

numerical derivatives in direct space

IR and non-resonant Raman intensities

= electric field

= Atomic displacement

Lorenzo Maschio [email protected]

We want analytical derivatives

Born Charges (IR intensities): derivative of the dipole moment

Page 16: Simulation of IR and Raman Spectra of Crystals

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Within Placzeck approximation, Raman tensor elements are defined as:

= electric field

= Atomic displacement

Lorenzo Maschio [email protected]

IR and non-resonant Raman intensities

Born Charges (IR intensities): derivative of the dipole moment

= electric field

= Atomic displacement

We want analytical derivatives

Lorenzo Maschio [email protected]

IR and non-resonant Raman intensities

Within Placzeck approximation, Raman tensor elements are defined as:

Born Charges (IR intensities): derivative of the dipole moment

Page 17: Simulation of IR and Raman Spectra of Crystals

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This operator is not consistent with the periodic

boundary conditions, it is not bound and breaks

the translational invariance of the system.

External electric field in periodic systems

Lorenzo Maschio [email protected]

External electric field in periodic systems

This operator is not consistent with the periodic

boundary conditions, it is not bound and breaks

the translational invariance of the system.

Lorenzo Maschio [email protected]

Page 18: Simulation of IR and Raman Spectra of Crystals

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External electric field in periodic systems

This operator is not consistent with the periodic

boundary conditions, it is not bound and breaks

the translational invariance of the system.

Derivative in k: a lot of problems!

Lorenzo Maschio [email protected]

We want analytical derivatives

The Omega operator

Lorenzo Maschio [email protected]

At zero field:

is the matrix representation of the field operator in AO basis

Page 19: Simulation of IR and Raman Spectra of Crystals

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The Omega operator

Lorenzo Maschio [email protected]

At zero field:

Imaginary diagonal elements undefined: must be avoided!

is the matrix representation of the field operator in AO basis

Mixed derivatives of total energy

Lorenzo Maschio [email protected]

Page 20: Simulation of IR and Raman Spectra of Crystals

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If we differentiate this w.r.t. atomic displacements we get

Mixed derivatives of total energy

Lorenzo Maschio [email protected]

If we differentiate this w.r.t. atomic displacements we get

This is not good. We want to avoid to solve perturbation

equations for the atomic displacements.

Mixed derivatives of total energy

Lorenzo Maschio [email protected]

Page 21: Simulation of IR and Raman Spectra of Crystals

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Much better to start from here

Because

Where we introduce the eigenvalue-weighted density matrix

Mixed derivatives of total energy

since

: occupation matrix

Mixed derivatives of total energy

Also note that the density matrix inside the Fock operator is not

differentiated with respect to displacements

Only gradients of the integrals are needed

Much better to start from here!

Lorenzo Maschio [email protected]

Page 22: Simulation of IR and Raman Spectra of Crystals

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Taken at zero field, this is the expression for the IR intensity.

Note the derivative of DW.

Moving on: we differentiate once w.r.t. field

Lorenzo Maschio [email protected]

Taken at zero field, this is the expression for the IR intensity.

Note the derivative of DW.

Moving on: we differentiate once w.r.t. field

The diagonal elements of are undefined, but it appears in two

places with opposite sign. Diagonal blocks cancel out!

Lorenzo Maschio [email protected]

Page 23: Simulation of IR and Raman Spectra of Crystals

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Things get more complicated

Again, it can be demonstrated that the diagonal blocks of

vanish. The same is true for

Let us differentiate once more w.r.t. field

Lorenzo Maschio [email protected]

Raman intensities

Lorenzo Maschio [email protected]

We reformulate the previous expression as

Page 24: Simulation of IR and Raman Spectra of Crystals

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Raman intensities

that is inside

Virt-occ block of appears only in

Lorenzo Maschio [email protected]

We reformulate the previous expression as

1) One CPHF calculation

2) One CPHF2 calculation (only for Raman)

3) Integral gradients

at the equilibrium geometry.

IR and Raman tensors are built assembling all these ingredients

and then contracted with eigenmodes.

What must be computed:

Lorenzo Maschio [email protected]

Page 25: Simulation of IR and Raman Spectra of Crystals

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IR

Page 26: Simulation of IR and Raman Spectra of Crystals

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IR

Raman

Page 27: Simulation of IR and Raman Spectra of Crystals

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Raman

Effect of computational parameters: shrinking factor

Lorenzo Maschio [email protected]

Page 28: Simulation of IR and Raman Spectra of Crystals

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Effect of computational parameters: shrinking factor

Lorenzo Maschio [email protected]

Not an important parameter. Usual values are fine.

Effect of computational parameters: TOLINTEG

Lorenzo Maschio [email protected]

Page 29: Simulation of IR and Raman Spectra of Crystals

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Effect of computational parameters: TOLINTEG

Lorenzo Maschio [email protected]

Some dependence upon TOLINTEG. Usual values are fine for

comparison with experiments

3. Cheese - from theory to experiment

Page 30: Simulation of IR and Raman Spectra of Crystals

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Raman intensities - single crystal

Lorenzo Maschio [email protected]

Raman intensities - powder

Lorenzo Maschio [email protected]

Tensor invariants are obtained averaging the Raman

directional intensities

Page 31: Simulation of IR and Raman Spectra of Crystals

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4. Dessert - simulated spectra

FREQCALC

INTENS

INTRAMAN

INTCPHF

END

END

END

CRYSTAL input: very simple

Page 32: Simulation of IR and Raman Spectra of Crystals

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FREQCALC

INTENS

INTRAMAN

INTCPHF

END

END

END

CRYSTAL input: very simple

CPHF input block

FREQCALC

INTENS

INTRAMAN

INTCPHF

END

IRSPEC

END

RAMSPEC

END

END

END

CRYSTAL input: very simple

Optional generation of spectra profiles

Page 33: Simulation of IR and Raman Spectra of Crystals

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Theory Vs Experiment: alpha-SiO2

EXP: Handbook of Minerals Raman Spectra database of Lyon ENS

Frequency cm-1

Lorenzo Maschio [email protected]

Garnets are important

rock-forming silicates

Pyrope:

Mg3Al2Si3O12

Pyrope

Page 34: Simulation of IR and Raman Spectra of Crystals

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Pyrope

Pyrope

Page 35: Simulation of IR and Raman Spectra of Crystals

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Pyrope

Pyrope

Page 36: Simulation of IR and Raman Spectra of Crystals

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Pyrope

Pyrope

Page 37: Simulation of IR and Raman Spectra of Crystals

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Pyrope

Pyrope

Page 38: Simulation of IR and Raman Spectra of Crystals

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Pyrope

Pyrope

Page 39: Simulation of IR and Raman Spectra of Crystals

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Pyrope

Pyrope

Page 40: Simulation of IR and Raman Spectra of Crystals

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Pyrope

Pyrope

Page 41: Simulation of IR and Raman Spectra of Crystals

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Pyrope

Pyrope

Page 42: Simulation of IR and Raman Spectra of Crystals

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Some modes, though Raman active by symmetry

considerations, have nearly zero intensity.

Assignment of experimental peaks is widely

guided by experience

Pyrope - general considerations

Lorenzo Maschio [email protected]

Experimental=Kolesov (2000)

Pyrope

Page 43: Simulation of IR and Raman Spectra of Crystals

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Three other examples

Jadeite NaAlSi2O6

Calcite CaCo3

UiO-66

Jadeite

Experimental spectrum from rruff database

Page 44: Simulation of IR and Raman Spectra of Crystals

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Jadeite

Page 45: Simulation of IR and Raman Spectra of Crystals

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Calcite

Thanks to C. Carteret (Nancy)

Calcite

Page 46: Simulation of IR and Raman Spectra of Crystals

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Calcite

Theory

Experiment

Thanks to C. Carteret (Nancy)

UiO-66 Metal-Organic Framework

More than 90 Raman-active modes

Exp. Spectrum: S. Bordiga and F. Bonino

Page 47: Simulation of IR and Raman Spectra of Crystals

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Page 48: Simulation of IR and Raman Spectra of Crystals

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UiO-66 Metal-Organic Framework

UiO-66 Metal-Organic Framework

Page 49: Simulation of IR and Raman Spectra of Crystals

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5. Coffee - Conclusions

Conclusions

Infrared and Raman spectra can be now fully simulated with

CRYSTAL

A new formalism based on CPHF has been implemented

Since all derivaties are performed analytically, the method is

efficient and stable with respect to computational parameters

Comparison with experiments is very good

Lorenzo Maschio [email protected]

Page 50: Simulation of IR and Raman Spectra of Crystals

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Acknowledgments

B. Kirtman

M. Rérat

R. Orlando

R. Dovesi

M. De La Pierre

R. Demichelis

S. Salustro

Development

Testing and applications

More information

L. Maschio, B. Kirtman, R. Orlando, and M. Rèrat“Ab initio analytical infrared

intensities for periodic systems through a coupled perturbed Hartree-Fock/Kohn-Sham

method“

J. Chem. Phys. 137, 204113 (2012)

L. Maschio, B. Kirtman, M. Rèrat, R. Orlando, and R. Dovesi“ Ab initio analytical

Raman intensities for periodic systems through a coupled perturbed Hartree-

Fock/Kohn-Sham method I: theory.“

J. Chem. Phys. 139, 164101 (2013)

L. Maschio, B. Kirtman, M. Rèrat, R. Orlando, and R. Dovesi“ Ab initio analytical

Raman intensities for periodic systems through a coupled perturbed Hartree-

Fock/Kohn-Sham method II: validation and comparison with experiments.“

J. Chem. Phys. 139, 164102 (2013)

L. Maschio, B. Kirtman, S. Salustro, C.M.Zicovich-Wilson, R. Orlando, and R.

Dovesi“ The Raman spectrum of Pyrope garnet. A quantum mechanical simulation of

frequencies, intensities and isotope shifts.“

J. Phys. Chem. A 117 (14), 11464-11471 (2013)

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Thank you all for your attention!