Hubbard-U is necessary on ligand atom for predicting

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Transcript Hubbard-U is necessary on ligand atom for predicting

First Principle Simulations of Molecular Magnets: Hubbard-U is Necessary on Ligand Atoms for Predicting Magnetic Parameters

Shruba Gangopadhyay 1,2 & Artëm E. Masunov 1,2,3 1 NanoScience Technology Center 2 Department of Chemistry 3 Department of Physics University of Central Florida

Quantum Coherent Properties of Spins - III

2

In this talk

      

Molecular Magnet as qubit implementation Use of DFT+U method to predict J coupling Benchmarking Study Two qubit system: Mn12 (antiferromagnetic wheel) Spin frustrated system: Mn9 Magnetic anisotropy predictions Future plans 3

4

Molecular Magnets – possible element in quantum computing

It can be in |0> and |1> state simultaneously Molecular Magnet is promising implementation of Qubit

Utilize the spin eigenstates as qubits

Molecular Magnets have higher ground spin states

Leuenberger & Loss Nature 410, 791 (2001)

Advantages of Molecular Magnets

Uniform nanoscale size ~1nm

Solubility in organic solvents

Readily alterable peripheral ligands helps to fine tune the property

Device can be controlled by directed assembly or self assembly 5

2-qubit system: Molecular Magnet [Mn 12 (Rdea)] contains two weakly coupled subsystems M=Methyl diethanolamine M=allyl diethanolamine Subsystem spin should not be identical 6

Ion substitution may be used to redesign MM

[1 ] [2] [3] [4]

Cr 8 Molecular Ring Cr 7 Ni Molecular Ring

M. Affronte M. Affronte

et al.

et al.

, Chemical Communications, 1789 (2007).

, Polyhedron

24

, 2562 (2005).

G. A. Timco F. Troiani

et al.

, Nature Nanotechnology

4

, 173 (2009).

et al.

, Phys Rev Lett

94

, 207208 (2005 ).

7

To redesign MM we need reliable method to predict magnetic properties

H Magnetic

 

H Heisenberg

 

H Anisotropy

 

H Zeeman

Heisenberg-Dirac-Van Vleck Hamiltonian

HDVV

  

JS 1 S 2

J = exchange coupling constant

E (



)

E (



)

J 2 S

i = spin on magnetic center i

Ferromagnetic (F) – when the electrons have Parallel spin

Antiferromagnetic (AF) – having Antiparallel spin

J>0 indicates antiferromagnetic (anti-parallel ) ground state

J < 0 indicates ferromagnetic (parallel) ground state 8

Density Functional Theory (DFT) prediction of J from first principles

Electronic density n(r) determines all ground state properties of multi-electron system. Energy of the ground state is a functional of electronic density :

E

[

n

(

r

)] 

T

[

n

] 

V ext

[

n

] 

V e

e

[

n

]  

n

(

r

)

v ext

(

r

)

dr

F HK

[

n

]

Hohenberg-Kohn functional

   1 2  2 

V eff

(

r

)   

i

 

i

i n

(

r

)  

i

i

(

r

) 2

(1) (2)

Kohn-Sham equations Where

are KS orbitals, is the system of N effective one-particle equations 9

Energy can be predicted for high and low spin states

Density Functional Theory (DFT) E=E[ρ] to simplify Kinetic part, total electron density is separated into KS orbitals, describing 1e each:

N

 (

r

)  

i

| 

i

(

r

) | 2

i

  1

Electron interaction accounted for self-consistently via exchange-correlation potential

(  1 2  2 

V ext

  |  (

r

' )

r

r

|'

dr

' 

V xc

) 

i

(

r

)  

i

i

(

r

)

10

Hybrid DFT and DFT+U can be used for prediction of J

Pure DFT is not accurate enough due to self interaction error

Broken Symmetry DFT (BSDFT) – Hybrid DFT (The most used method so far)

Unrestricted HF or DFT

Low spin –Open shell

(spin up) β (spin down) are allowed to localized on different atomic centers Representation of J in Broken symmetry terms is now

E(HS) - E(BS) = 2JS 1

S

2 Another alternative for Molecular Magnet DFT+U 11

DFT+U may reduce self-interaction error U “on-site” electron-electron repulsion

From fixed-potential diagonalization

(Kohn-Sham response) The +U correction is the one needed to recover the exact behavior of the energy. What is the physical meaning of U?

From self-consistent ground state (screened response)

We used

DFT+U

implemented in Quantum Espresso

12

Both metal and ligand need Hubbard term U

Idea: Empirically Adjust U parameter on both Metal and the coordinated ligand Complex –Ni 4 (Hmp)

S=0 S=2 S=4 DFT 0.0000

0.0011

0.0026

DFT+U(d) 0.00000

0.00012

0.00019

DFT+U(p+d) 0.00000

-0.000069

-0.000368

U parameter on Oxygen not only changing the numerical result It is changing the nature of splitting – preference of ground state

C. Cao, S. Hill, and H.-P. Cheng, Phys. Rev. Lett.

100

(16), 167206/1 (2008 )

13

Numeric values of U parameters for different atom types are fitted using benchmark set

U (Mn)=2.1 eV, U(O)=1.0 eV, U(N)=0.2 eV Chemical formula [Mn 2 (IV)(μO) 2 (phen) 4 ] 4+ [Mn 2 (IV)(μO) 2 ((ac))(Me 4 dtne)] 3+ [Mn 2 (III) (μO)(ac) 2 (tacn) 2 ] 2+ [Mn 2 (II) (ac) 3 (bpea) 2 ] + [Mn(III)Mn(IV)(μO) 2 (ac)(tacn) 2 ] 2+ J (cm -1 ) Plane Wave BS-DFT calculations DFT+U metal+ligand DFT+U metal only -143.6

-74.9

5.6

-7.7

-234.0

-166.6

-87.4

-3.64

-18.8

-247.6

-131.9

-37.5

-40.0

-405 Expt -147.0

-100.0

10.0

-1.3

-220 14

(Mn(IV))

2

(OAc)

Computational Details Cutoff 25 Ryd Smearing Marzari-Vanderbilt cold smearing Smearing Factor 0.0008

For better convergence Local Thomas Fermi screening [Mn 2 (IV)(μO) 2 ((ac))(Me 4 dtne)] 3+ Evaluation of J(cm -1 ) Exp BSDFT DFT+U -100 -37 -74.9

We modify the source code of Quantum ESPRESSO to incorporate U on Nitrogen 15

Mn(IV)- no acetate bridge

Evaluation of J(cm -1 ) Exp BSDFT DFT+U -147 -131 -164 [Mn 2 (IV)(μO) 2 (phen) 4 ] 4+ 16

Mn(II) three acetate bridges Mn(III) two acetate bridges Exp -1.5

[Mn 2 (II) (ac) 3 (bpea) 2 ] + Evaluation of J(cm -1 ) [Mn 2 (III) (μO)(ac) 2 (tacn) 2 ] 2+ BSDFT DFT+U -8 Exp 10 BSDFT -40 DFT+U 29 17

Mixed valence Mn(III)-Mn(IV) [Mn(III)Mn(IV)(μO) 2 (ac)(tacn) 2 ] 2+ J cm -1 (MnIII-MnIV) Exp BSDFT DFT+U -220 -155 -234 18

L

ö

wdin population analysis

Atom AFM FM

   

Mn1 Mn2 Oµ1 Oµ2 Oac1 Oac2 N1 N2 N3 N′1 N′2 N′3 3.00

-3.00

0.00

0.00

-0.05

0.05

-0.07

-0.07

-0.07

0.07

0.07

0.07

3.08

3.08

-0.03

-0.03

0.08

0.08

-0.05

-0.05

-0.07

-0.05

-0.05

-0.07

The oxide dianions (Oµ), and aliphatic N atoms pure σ-donors have spin polarization opposite to that of the nearest Mn ion, in agreement with superexchange The aromatic N atoms have nearly zero spin-polarization . O atoms of the acetate cations have the same spin polarization as the nearest Mn cations. This observation contradicts simple superexchange picture and can be explained with dative mechanism .

The acetate has vacant π-orbital extended over 3 atoms, and can serve as π-acceptor for the

d

-electrons of the Mn cation. As a result, Anderson’s superexchange mechanism, developed for σ-bonding metal-ligand interactions, no longer holds.

19

Dependence of J on U

Mn U (ev) O 1 2.1

3 4 6 1 1 1 1 1 N J cm 0.2 -147.77

0.2

-71.92

0.2

-13.84

0.2

0.2

48.76

169.84

-1 2.1

2.1

2.1

3 5 1 0.2

0.2

2.0

-55.27

-50.80

-62.03

20

Failure of BSDFT

Bimetallic complexes with Acetate Bridging ligand

Complexes with Ferromagnetic Coupling

Mix valence complexes Chemical formula [Mn 2 (IV)(μO) 2 ((ac))(Me 4 dtne)] 3+ [Mn 2 (III) (μO)(ac) 2 (tacn) 2 ] 2+ [Mn(III)Mn(IV)(μO) 2 (ac)(tacn) 2 ] 2+ J (cm -1 ) Plane Wave BS-DFT calculations DFT+U metal+ligand DFT+U metal only -74.9

5.6

-234.0

-87.4

-3.64

-247.6

-37.5

-40.0

-405 Expt -100.0

10.0

-220 21

Two qubit system-[Mn 12 (Reda)] complex with weakly coupled subsystems Methyl diethanolamine Allyl diethanolamine Predict J for two coupled sub system Previous DFT Study predicted J=0 Whereas the J>0 experimentally 22

23

Mn1-Mn6΄ Mn1-Mn2 Mn2-Mn3 Mn3-Mn4 Mn4-Mn5 Mn5-Mn6 Mdea Adea Bond Length (Å) X-ray 3.46

3.21

3.15

3.17

3.18

3.20

Opt 3.44

3.21

3.18

3.17

3.15

3.21

J(cm -1 ) PBE B3LYP

+1.2

-6.0

-14.9

+10.9

+9.2

-5.4

-3.5

-5.6

-2.5

+6.3

+5.4

-5.9

B3LYP (Cluster)

+0.04

-2.8

-9.2

+7.0

+8.0

-5.0

DFT+U (X-ray) 4.6

-20.8

-26.8

50.5

56.9

-13.6

DFT+U (Opt) -0.8

-3.7

-23.5

44.0

54.1

-14.2

DFT+U (Opt) -2.38

-23.93

-31.02

57.58

45.89

-35.48

24

Spin frustrated system –Mn9

Experimental Spin Ground state S = 21 2 Molecules can be divided into two identical part passing through an axis from Mn+2 The

Only Possible Combination

if one Mn+3 from each half shows spin down orientation 25

J

8

H

 

J

1

( S

1

S

3 

S

9

S

7

)

J

2

( S

1

S

2 

S

9

S

8

)

J

3

( S

2

S

4 

S

8

S

6

)

J

4

( S

3

S

5 

S

7

S

5

)

J

5

( S

3

S

4 

S

7

S

6

)

J

6

( S

4

S

5 

S

6

S

5

)

J

7

( S

2

S

3 

S

8

S

7

)

J

8

( S

4

S

6

)

J 6 J 7 J 8 J 1 J 2 J 3 J 4 J 5

Mn-Mn Ǻ 3.35

2.95

3.53

3.43

3.21

3.38

3.46

2.86

J

(cm -1 ) 7.48

-16.87

1.14

25.07

7.92

3.15

4.02

27.32

S=-2(Mn +3 ) S=2 (Mn +3 ) S=5/2(Mn +3 )

Anisotropy –in Molecular Magnet

H

H anisotropy

Magnetic

  

DS

H

2

Z

Heisenberg

 

H Anisotropy

 

H Zeeman

Relativistic Pseudopotential

 Resulting from

spin–orbit

coupling,  Produces a uniaxial anisotropy barrier  Separating opposite

projections

of the spin along the axis

Non-Collinear Magnetism 27

Prediction of Anisotropy for Ce based Complex

0 4

4

U(eV) Ce O N 0 0 D (cm -1 169.92

0.5 0.2 8.38

0.8 0.2 0.16

) U(eV)

J

Ce O N (cm -1 ) 0 0 0 -359.02

3 0.5 0.2 -12.57

4 0.5 0.2 -4.03

4 0.8 0.2 -3.86

J

expt =-0.75 cm-1, D expt = 0.21 cm -1 28

Summary

    

To predict correct

J

values we need to include U parameters on both metal and ligand Geometry Optimization of ground state is extremely important for correct prediction of J values Exclusion of U Parameters on incorrect ferromagnetic ground state ligand atoms leads Anisoptropy prediction needs relativistic pseudopotential For Anisotropy we need good starting wave function ground spin state of the molecule for 29

Future Work

Prediction of Anisotropy for Mn12 based wheel

Heisenberg Exchange constants

Ion substituted Mn12 wheel

Mn12 cation/anion

Mn12 wheel on the metal surface 30

Acknowledgements

Prof. Michael Leuenberger

Eliza Poalelungi

Prof. George Christou

Arpita Pal

NERSC Supercomputing Facilities (m990)

ACS Supercomputing Award for Teragrid 31

32

34

Pseudopotential

Pseudopotentials replace electronic degrees of freedom in the Hamiltonian of chemically inactive electron by an effective potential

A sphere of radius (r

c

) defines a boundary between the core and valence regions

For

r ≥ r c

the pseudopotential and wave function are required to be the same as for real potential.

Pseudopotential excludes (does not reproduce) core states – solutions are only valence states

Inside the sphere

r ≤ r c

, pseudopotential is such that wave functions are nodeless

ε i (at) = ε i (PS)

For Iron 1s 2 2s 2 2p 6 3s 2 3p 6 3d 6 4s 2 35

Faliure of bs-dft

 Bimetallic complexes with Acetate Bridging ligand  Complexes with Ferromagnetic Coupling  Mix valence complexes

36

Different transition metals in molecular magnets

37

J for other transition metal complexes

J cm -1 (FeIII-FeIII) Exp BSDFT DFT+U -16 -10 J cm -1 (FeIII-FeIII) Exp BSDFT DFT+U -121 -77 -141 38

J cm -1 (CrIII-CrIII) Exp BSDFT DFT+U -15 -10 J cm -1 (CrIII-MnIII) Exp BSDFT DFT+U -17 -29 39

Application- biocatalysis

Polyneuclear – Transition metal centers in the enzyme Important for biocatalysis -Understand the stability of biradical at transition state

S Sinnecker, F Neese, W Lubitz,

J Biol Inorg Chem

(2005) 10: 231–238

40

DFT+U in Quantum Espresso

The formulation developed by Liechtenstein, Anisimov and Zaanen, referred as basis set independent generalization

E LDA

U [ n ( r )]

E LDA [ n ( r )]

E Hub [{ n m I

}]

E DC [{ n I

}]

n(r) is the electronic density

n I

m

the atomic orbital occupations for the atom I experiencing the “Hubbard” term

The last term in the above equation is then subtracted in order to avoid double counting of the interactions contained both in E Hub and, in some average way, in E LDA .

41

Future Plans

Compute J for heteroatom (Cr) containing molecular magnetic wheel 42

Alternative Approach: DFT+U

The DFT+U method consists in a correction to the LDA (or GGA) energy functional to give a better description of electronic correlations. It is shaped on a Hubbard-like Hamiltonian including effective on-site interactions

It was introduced and developed by Anisimov and coworkers (1990-1995) Advantages Over Hybrid DFT

 

Computationally less expensive Possibility to treat large systems 43