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DFT and stochastic studies on the influence of the catalyst structure and the reaction conditions on the polyolefin microstructure Artur Michalak a,b and Tom Ziegler a a Department of Chemistry, University of Calgary, Calgary, Alberta, Canada Department of Theoretical Chemistry Jagiellonian University Cracow, Poland May 16, 2022

Artur Michalak a,b and Tom Ziegler a a Department of Chemistry, University of Calgary,

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DFT and stochastic studies on the influence of the catalyst structure and the reaction conditions on the polyolefin microstructure. Artur Michalak a,b and Tom Ziegler a a Department of Chemistry, University of Calgary, Calgary, Alberta, Canada b Department of Theoretical Chemistry - PowerPoint PPT Presentation

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Page 1: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

DFT and stochastic studies on the influence

of the catalyst structure and the reaction conditions

on the polyolefin microstructure

DFT and stochastic studies on the influence

of the catalyst structure and the reaction conditions

on the polyolefin microstructure

Artur Michalaka,b and Tom Zieglera

aDepartment of Chemistry,

University of Calgary,

Calgary, Alberta, Canada

bDepartment of Theoretical Chemistry

Jagiellonian University

Cracow, Poland

Artur Michalaka,b and Tom Zieglera

aDepartment of Chemistry,

University of Calgary,

Calgary, Alberta, Canada

bDepartment of Theoretical Chemistry

Jagiellonian University

Cracow, Poland

April 21, 2023April 21, 2023

Page 2: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization mechanismEthylene polymerization mechanism

-agostic

-complex

+ ethylene

-agostic

-agosticinsertion

Page 3: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

n

Propylene:

n

Etylene:

333 methyl branches / 1000 C atoms

Linear chain

-olefin polymerization mechanism-olefin polymerization mechanism

Page 4: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

-olefin polymerization mechanism-olefin polymerization mechanism

n

Propylene:

n

Etylene:

333 methyl branches / 1000 C atoms

Linear chain

Observed: up to 130 branches / 1000 C

Observed: 210 - 333 branches / 1000 C

Page 5: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Chain isomerization

-olefin polymerization mechanism-olefin polymerization mechanism

Page 6: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Diimine catalystsDiimine catalysts

n

Propylene:

n

Etylene:

333 methyl branches / 1000 C atoms

Linear chain

Observed: up to 130 branches / 1000 C

Observed: 210 - 333 branches / 1000 C

n

Propylene:

n

Propylene:

n

Etylene:

n

Etylene:

333 methyl branches / 1000 C atoms

Linear chain

Observed: up to 130 branches / 1000 C

Observed: 210 - 333 branches / 1000 C

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

Page 7: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Diimine catalystsDiimine catalysts

Influence of olefin pressure on the polymer structurehigh p - linear structureslow p - hyperbranched structures

Pd – No. of branches independent of pNi – No. of braches influenced by p

n

Propylene:

n

Etylene:

333 methyl branches / 1000 C atoms

Linear chain

Observed: up to 130 branches / 1000 C

Observed: 210 - 333 branches / 1000 C

n

Propylene:

n

Propylene:

n

Etylene:

n

Etylene:

333 methyl branches / 1000 C atoms

Linear chain

Observed: up to 130 branches / 1000 C

Observed: 210 - 333 branches / 1000 C

Page 8: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

-olefin polymerization mechanism-olefin polymerization mechanism

Page 9: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

Page 10: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

CC

CCCC

CNN CCC

CCC C

Pd

Page 11: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

C

CC

C

CCCC

CNN CCC

CCC C

C

Pd

C

Page 12: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

CC

C

CC

C

CC

C

CC

C

C

CNN CCC

CC

C

C C

CC

Pd

CC

Page 13: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

CC

CC

NN

Pd

Page 14: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

CC

C

CC

C

CCCC

CNN CCC

CCC C

C

Pd

C

Page 15: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

C

CC

C

C

CC

C

CC

C

CC

C

C

N CNC CC

CC

C

C C

CC

Pd

CC

Page 16: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

CC

CC

C

CC

C

CC

CC

NN

Pd

Page 17: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Models for the catalyst:Models for the catalyst:

1) generic system: R = H; Ar = H1) generic system: R = H; Ar = H

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

2) a variety of systems with different substituents:

• R = H; Ar = Ph• R = H; Ar = Ph (Me)2

• R = H; Ar = Ph (i-Pr)2

• R = Me; Ar = H• R = Me; Ar = Ph (Me)2

• R = Me; Ar = Ph (i-Pr)2

• R2 = An; Ar = H• R2 = An; Ar = Ph (i-Pr)2

CC

NN

Pd

R R

Ar Ar

+

CC

NN

Pd

R R

Ar Ar

+

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

Page 18: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

DFT calculations:DFT calculations:Chain growth:

Chain isomerization:

Page 19: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

DFT calculations:DFT calculations:

A. Michalak, T. Ziegler, "Pd-catalyzed Polymerization of Propene - DFT Model Studies", Organometallics, 18, 1999, 3998-4004.

A. Michalak, T. Ziegler, "DFT studies on substituent effects in Pd-catalyzed olefin polymerization", Organometallics, 19, 2000, 1850-1858.

Examples of results:

Ethylene insertion barrier:DFT: 16.7 kcal/molexp.: 17.4 kcal/mol

Isomerization barrier:DFT: 5.8 (6.8) kcal/molexp: 7.2 kcal/mol

C

CC

C

C

CC

C

CC

C

CC

C

C

N CNC CC

CC

C

C C

CC

Pd

CC

Page 20: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Substituent effect in real systemsSubstituent effect in real systems

Electronic preference Steric effect(generic system) (real systems)

alkyl complexes iso-propyl iso-propyl

olefin -complexes iso-propyl alkyl n-propyl alkyl

olefin -complexes propene ethene

propene insertion 2,1- 1,2-

Electronic preference Steric effect(generic system) (real systems)

alkyl complexes iso-propyl iso-propyl

olefin -complexes iso-propyl alkyl n-propyl alkyl

olefin -complexes propene ethene

propene insertion 2,1- 1,2-

Page 21: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Isomerization reactionsIsomerization reactions

0.000.00

+4.56+4.56

-3.42-3.42

0.000.00+5.84+5.84

+1.59+1.59

following1,2-insertion

following2,1-insertion

Page 22: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Isomerization reactionsIsomerization reactions

0.000.00

+4.56+4.56

-3.42-3.42

0.000.00+5.84+5.84

+1.59+1.59

following1,2-insertion

following2,1-insertion

Page 23: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Isomerization reactionsIsomerization reactions

0.000.00

+4.56+4.56

-3.42-3.42

0.000.00+5.84+5.84

+1.59+1.59

following1,2-insertion

following2,1-insertion

Page 24: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

1 C atom attached to the catalyst:olefin capture

followed by 1,2- or 2,1-

insertion

Stochastic simulation - how it worksStochastic simulation - how it works

Page 25: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

1 C atom attached to the catalyst:olefin capture

followed by 1,2- or 2,1-

insertion

Stochastic simulation - how it worksStochastic simulation - how it works

Page 26: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Primary C attached to the catalyst:1) 1 possible isomerization 2) olefin capture and 1,2- insertion3) olefin capture and 2,1- insertion4) termination

Stochastic simulation - how it worksStochastic simulation - how it works

1

2

3

4

Page 27: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Secondary C attached to the catalyst:1) isomerization to primary C2) isomerisation to secondary C3) olefin capture and 1,2- insertion4) olefin capture and 2,1- insertion5) termination

Stochastic simulation - how it worksStochastic simulation - how it works

Page 28: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Secondary C attached to the catalyst:1) isomerization to secondary C2) isomerisation to secondary C3) olefin capture and 1,2- insertion4) olefin capture and 2,1- insertion5) termination

Stochastic simulation - how it worksStochastic simulation - how it works

Page 29: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Secondary C attached to the catalyst:1) isomerization to primary C2) isomerisation to secondary C3) olefin capture and 1,2- insertion4) olefin capture and 2,1- insertion5) termination

Stochastic simulation - how it worksStochastic simulation - how it works

Page 30: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Primary C attached to the catalyst:1) isomerization to secondary C2) olefin capture and 1,2- insertion3) olefin capture and 2,1- insertion4) termination

Stochastic simulation - how it worksStochastic simulation - how it works

Page 31: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Primary C attached to the catalyst:1) isomerization to tertiary C2) olefin capture and 1,2- insertion3) olefin capture and 2,1- insertion4) termination

Stochastic simulation - how it worksStochastic simulation - how it works

Page 32: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Stochastic simulation - how it worksStochastic simulation - how it works

Page 33: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Stochastic simulation - how it worksStochastic simulation - how it works

Page 34: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Stochastic simulation - how it worksStochastic simulation - how it works

Page 35: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Stochastic simulation - how it worksStochastic simulation - how it works

Page 36: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Probablities of the eventsProbablities of the events

Basic assumption:relative probabilities (microscopic)

= relative rates (macroscopic):

Basic assumption:relative probabilities (microscopic)

= relative rates (macroscopic):

i

π j

=ri

rj

i

i∑ = 1

36

Macroscopic kinetic expressions with microscopic barriers for elementary reactions(calculated or experimental)

Macroscopic kinetic expressions with microscopic barriers for elementary reactions(calculated or experimental)

Use of macroscopic kinetic expressions allows us to discuss the effects of the reaction conditions (temperature and olefin pressure)

Use of macroscopic kinetic expressions allows us to discuss the effects of the reaction conditions (temperature and olefin pressure)

Page 37: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Probablities of the eventsProbablities of the events

Basic assumption:relative probabilities (microscopic)

= relative rates (macroscopic):

e.g. isomerization vs. isomerization:

isomerization vs. insertion:

etc.

Basic assumption:relative probabilities (microscopic)

= relative rates (macroscopic):

e.g. isomerization vs. isomerization:

isomerization vs. insertion:

etc.

i

π j

=ri

rj

iso.1

π iso.2

=riso.1

riso.2

=k iso.1

kiso.2

≈ exp(ΔΔG1, 2

kT)

i

i∑ = 1

iso.1

π ins. 1, 2

=riso.1

rins.1, 2

≈kiso.1

k ins.1, 2 Kcompl. polefin

][ 01,1 isokr =

][ 02,2 isokr =

olefincomplins

insins

pKk

kr

][

][

0..

0..

===

][ 01,1 isokr =

- alkyl -agostic complexes;- olefin complex;

37

Page 38: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Simulations of polymer growth and isomerizationSimulations of polymer growth and isomerization

main chainprimary branch

secondary branch

tertiary branch

etc.

Results:- Polymer chain;- Total No. of branches;- Classification of branches: no. of branches of a given type, and their length;- Molecular weight;

Results:- Polymer chain;- Total No. of branches;- Classification of branches: no. of branches of a given type, and their length;- Molecular weight;

Page 39: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Propylene polymerization (theoretical data)Propylene polymerization (theoretical data)

R = H; Ar = H

CC

NN

Pd

A. Michalak, T. Ziegler, „Stochastic modelling of the propylene polymerization catalyzed by the Pd-based diimine catalyst: influence of the catalyst structure and the reaction conditions on the polymer microstructure”, J. Am. Chem. Soc, 2002, in press.

Page 40: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

R=H; Ar= Ph

CC

CCCC

CNN CCC

CCC C

Pd

Propylene polymerization (theoretical data)Propylene polymerization (theoretical data)

Page 41: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

R=An; Ar= Ph(i-Pr)2

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

Propylene polymerization (theoretical data)Propylene polymerization (theoretical data)

Page 42: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Propylene polymerization - effect of the catalystPropylene polymerization - effect of the catalyst

R=H; Ar=H: 331.6 br.; 66.7% 33.3%; 0

R=H; Ar=Ph: 122.5 br.; 51.7%; 40.1%; 14.2

R=H; Ar=Ph(CH3)2: 269.6 br.;60.9%; 38.1%; 0.89

R=H; Ar=Ph(i-Pr)2: 269.6 br.; 60.9%; 38.1%; 1.37

R=CH3; Ar=Ph(CH3)2: 251.0 br.; 59.7%; 38.7%; 0.93

R=CH3; Ar=Ph(i-Pr)2: 238.2 br.;61.7%; 36.5%; 2.6

R=An; Ar=Ph(i-Pr)2: 255.6 br.; 59.9%; 38.5%; 1.35

The values above the plots denote: the average number of branches / 1000 C, % of atoms in the main chain and % in primary branches, and the ratio between the isomerization and insertion steps. Colors are used to mark different types of branches (primary, secondary, etc.).

42

Page 43: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

220

240

260

280

300

320

0 100 200 300 400 500

T [K]

No. of branches / 1000 C

Propylene polymerization - temperature effectPropylene polymerization - temperature effect

T=98K

T=198K

T=298K

T=398K

T=498K

43

C

CC

C

C

CC

C

CC

C

CC

C

C

N CNC CC

CC

C

C C

CC

Pd

CC

Page 44: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

220

240

260

280

300

320

0 100 200 300 400 500

T [K]

No. of branches / 1000 C

Propylene polymerization - temperature effectPropylene polymerization - temperature effect

T=98K

T=198K

T=298K

T=398K

T=498K

44

C

CC

C

C

CC

C

CC

C

CC

C

C

N CNC CC

CC

C

C C

CC

Pd

CC

• Two insertion pathways: 1,2- i 2,1-

• Chain straightening follows 2,1-insertion only

•Lower barrier for the 1,2-insertion (by c.a. 0.6 kcal/mol)

• Practically each 2,1-insertion is followed by chain straighening

Page 45: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

220

240

260

280

300

320

0.001 0.01 0.1 1

p [ arbitrary units]

No. of branches

Propylene polymerization - pressure effectPropylene polymerization - pressure effect45

C

CC

C

C

CC

C

CC

C

CC

C

C

N CNC CC

CC

C

C C

CC

Pd

CC

Page 46: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

220

240

260

280

300

320

0.001 0.01 0.1 1

p [ arbitrary units]

No. of branches

Propylene polymerization - pressure effectPropylene polymerization - pressure effect46

C

CC

C

C

CC

C

CC

C

CC

C

C

N CNC CC

CC

C

C C

CC

Pd

CC

Exp.: 213br. / 1000 C

„Ideal” – no chain straighening333.3

Page 47: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Propylene polymerization - pressure effectPropylene polymerization - pressure effect

p=0.1

p=0.01

p=0.001

p=0.0001

47

C

CC

C

C

CC

C

CC

C

CC

C

C

N CNC CC

CC

C

C C

CC

Pd

CC

Page 48: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data (G)

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data (G)

48

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

Page 49: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0

30

60

90

120

150

0.001 0.01 0.1 1

p [ arbitrary units]

No. of branches

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

49

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

Page 50: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0

30

60

90

120

150

0.001 0.01 0.1 1

p [ arbitrary units]

No. of branches

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

50

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

Exp.

Page 51: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

51

p

Page 52: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

52

p

Page 53: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0

30

60

90

120

150

180

0 100 200 300 400 500

T [K]

No. of branches

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

53

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

Page 54: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0

30

60

90

120

150

180

0 100 200 300 400 500

T [K]

No. of branches

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data

54

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

Page 55: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data (G)

Ethylene polymerization by Pd-based diimine catalyst Simulations from experimental data (G)

55

CCC

CC

CC

C

C

CC

C

CC

C

CC

C

C

CC

C

N CNC CC

C

C

CCC C

CC

Pd

CC

A. Michalak, T. Ziegler, „DFT and stochastic studies on the factors controlling branching and microstructure of polyethylenes in the polymerization processes catalyzed by the late-transition metal complexes”, in preparation

Page 56: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization - model studies on the effects of catalyst (elementary reaction barriers), temperature, and pressure on the

microstructure of polymers

Ethylene polymerization - model studies on the effects of catalyst (elementary reaction barriers), temperature, and pressure on the

microstructure of polymers

56

Page 57: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization - pressure / catalyst effects

Ethylene polymerization - pressure / catalyst effects

0

50

100

150

200

250

300

350

0.0001 0.001 0.01 0.1 1

E2=1E2=2E2=3E2=4E2=5E2=6E2=7E2=8E2=9N

o. o

f b

ran

ches

/ 10

00 C

p [arbitrary units]

E1=1.0 kcal/mol

57

Page 58: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization - pressure / catalyst effects

Ethylene polymerization - pressure / catalyst effects

0

50

100

150

200

250

300

350

0.0001 0.001 0.01 0.1 1

E2=1E2=2E2=3E2=4E2=5E2=6E2=7E2=8E2=9N

o. o

f b

ran

ches

/ 10

00 C

p [arbitrary units]

E1=1.0 kcal/mol

58

pressure independent region

Page 59: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0

50

100

150

200

250

300

350

400

450

0.0001 0.001 0.01 0.1 1

E1=2.0 kcal/mol

0

50100

150200

250

300350

400450

500

0.0001 0.001 0.01 0.1 1

E1=3.0 kcal/mol

0

100

200

300

400

500

600

0.0001 0.001 0.01 0.1 1

E1=4.0 kcal/mol

0

100

200

300

400

500

600

0.0001 0.001 0.01 0.1 1

E1=6.0 kcal/mol

59

The faster is the isomerisation (compared to insertions), the more extended is the pressure independent region.

The faster is the isomerisation (compared to insertions), the more extended is the pressure independent region.For Ni-diimine catalyst the isomerisation is slower then for Pdi.e. for Pd the pressure independent region is more extended toward higher values of the pressure

For Ni-diimine catalyst the isomerisation is slower then for Pdi.e. for Pd the pressure independent region is more extended toward higher values of the pressure

Page 60: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

The polyethylene galleryThe polyethylene gallery

E1E2=2 kcal/mol

E1E2=5 kcal/mol

E1E2=7 kcal/mol

E1E2=5 kcal/mol

E1E2=5 kcal/mol

p=0.0001; T=298 K

60

Page 61: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization with the Ethylene polymerization with the neutral anilinotropone Ni-based neutral anilinotropone Ni-based

catalystcatalyst

Ethylene polymerization with the Ethylene polymerization with the neutral anilinotropone Ni-based neutral anilinotropone Ni-based

catalystcatalyst

Experimental data:

Hiks, F.A., Brookhart M.

Organometallics 2001, 20, 3217.

Experimental data:

Hiks, F.A., Brookhart M.

Organometallics 2001, 20, 3217.

Page 62: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ethylene polymerization with the Ethylene polymerization with the neutral anilinotropone Ni-based neutral anilinotropone Ni-based

catalystcatalyst

Ethylene polymerization with the Ethylene polymerization with the neutral anilinotropone Ni-based neutral anilinotropone Ni-based

catalystcatalyst

Experimental data:

Hiks, F.A., Brookhart M.

Organometallics 2001, 20, 3217.

Experimental data:

Hiks, F.A., Brookhart M.

Organometallics 2001, 20, 3217.

0

20

40

60

80

100

120

0 100 200 300 400 500 600 700

p [psig]

br./1000C

0

10

20

30

40

50

60

70

80

20 40 60 80 100 120

T [C]

br./1000C

Page 63: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Ni-anilinotropone catalyst - cis/trans isomers

Alkyl complexes:

Ethylene -complexes:

Page 64: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0

5

10

-5

-10

-15

-20N-isomers

O-isomers

Alkyl

AlkylAlkyl

Alkyl

-

-

- -

ins. TS

ins. TS ins. TS

ins. TS

iso. TS

iso. TS

1.9

-12.9

-17.9

0.01.9

9.5

5.8

1.33.4

-17.5-17.1

5.7

1.7

Secondary alkyl Primary alkyl

Ni-anilinotropone catalyst – results for real catalyst

Page 65: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0

5

10

-5

-10

-15

-20N-isomers

O-isomers

Alkyl

AlkylAlkyl

Alkyl

-

-

- -

ins. TS

ins. TS ins. TS

ins. TS

iso. TS

iso. TS

1.9

-12.9

-17.9

0.01.9

9.5

5.8

1.33.4

-17.5-17.1

5.7

1.7

Secondary alkyl Primary alkyl

Ni-anilinotropone catalyst – stochastic simulations

Page 66: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

020

4060

80

100120

140160

0 0.02 0.04 0.06 0.08 0.1

p [arb.u.]

br./1000C

14 - 600 psig

Ni-anilinotropone catalyst – stochastic simulations

Page 67: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0

20

40

60

80

100

120

140

160

0 0.0038 0.0076 0.0114 0.0152 0.019 0.0228

p [arb.u.]

br./1000C

14 50 100 200 400 600p [psig]

Ni-anilinotropone catalyst – stochastic simulations

Theoret.

Exp.

Page 68: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

0102030405060708090

100

40 50 60 70 80 90 100

T [C]

br./1000C

p = 0.011 arb.u. / p = 400 psig

Theoret.

Exp.

Ni-anilinotropone catalyst – stochastic simulations

Page 69: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

Acknowledgements. This work was supported by the National Sciences and Engineering Research Council of Canada (NSERC), Nova Chemical Research and Technology Corporation as well as donors of the Petroleum Research Fund, administered by the American Chemical Society (ACS-PRF No. 36543-AC3). A.M. acknowledges NATO Fellowship. Important parts of the calculations was performed using the UofC MACI cluster.

Acknowledgements. This work was supported by the National Sciences and Engineering Research Council of Canada (NSERC), Nova Chemical Research and Technology Corporation as well as donors of the Petroleum Research Fund, administered by the American Chemical Society (ACS-PRF No. 36543-AC3). A.M. acknowledges NATO Fellowship. Important parts of the calculations was performed using the UofC MACI cluster.

ConclusionsConclusions

DFT:• energetics of elementary reactions in a reasonable agreement with experimental data • understanding of the electronic and steric influence of the catalysts substituents

Stochastic modelling:• provides a link between the molecular modeling on the microscopic and macroscopic level •identifies the factors controlling of the polyolefin branching and their microstructure •demonstrates that a huge range of polyolefin materials with specific microstructures can be rationally designed by modification of the catalysts• can be also useful for interpretation of the experimental results

DFT:• energetics of elementary reactions in a reasonable agreement with experimental data • understanding of the electronic and steric influence of the catalysts substituents

Stochastic modelling:• provides a link between the molecular modeling on the microscopic and macroscopic level •identifies the factors controlling of the polyolefin branching and their microstructure •demonstrates that a huge range of polyolefin materials with specific microstructures can be rationally designed by modification of the catalysts• can be also useful for interpretation of the experimental results

Page 70: Artur Michalak a,b  and Tom Ziegler a a Department of Chemistry, University of Calgary,

DFT:• energetics of elementary reactions in excellent agreement with experimental data • understanding of the electronic and steric influence of the catalysts substituents

Stochastic modelling:• provides a link between the molecular modeling on the microscopic and macroscopic level • allows one to identify the factors controlling of the polyolefin branching and their microstructure as well as its dependence on the reaction conditions• demonstrates that a huge range of polyolefin materials with specific microstructures can be rationally designed by modification of the catalysts• can be also useful for interpretation of the experimental results.`

DFT:• energetics of elementary reactions in excellent agreement with experimental data • understanding of the electronic and steric influence of the catalysts substituents

Stochastic modelling:• provides a link between the molecular modeling on the microscopic and macroscopic level • allows one to identify the factors controlling of the polyolefin branching and their microstructure as well as its dependence on the reaction conditions• demonstrates that a huge range of polyolefin materials with specific microstructures can be rationally designed by modification of the catalysts• can be also useful for interpretation of the experimental results.`