a monte carlo discrete sum (mcds) approach to energies of formation for small methanol clusters

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A Monte Carlo discrete A Monte Carlo discrete sum (MCDS) approach to sum (MCDS) approach to energies of formation energies of formation for small methanol for small methanol clusters clusters Srivatsan Raman*, Barbara Srivatsan Raman*, Barbara Hale and Gerald Wilemski Hale and Gerald Wilemski Physics Department, *Chemical Engineering Department University of Missouri-Rolla, Rolla, MO – 65409, USA Supported by the Engineering Physics Program, U.S. DOE

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A Monte Carlo discrete sum (MCDS) approach to energies of formation for small methanol clusters. Srivatsan Raman*, Barbara Hale and Gerald Wilemski. Physics Department, *Chemical Engineering Department University of Missouri-Rolla, Rolla, MO – 65409, USA. - PowerPoint PPT Presentation

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A Monte Carlo discrete sum A Monte Carlo discrete sum (MCDS) approach to energies (MCDS) approach to energies

of formation for small of formation for small methanol clustersmethanol clusters

Srivatsan Raman*, Barbara Hale and Srivatsan Raman*, Barbara Hale and Gerald WilemskiGerald Wilemski

Physics Department, *Chemical Engineering Department

University of Missouri-Rolla, Rolla, MO – 65409, USA

Supported by the Engineering Physics Program, U.S. DOE

log J CLASSICAL x 10-7(cm-3sec-1)

0 2 4 6 8 10 12 14

log

J E

XP (

cm-3

sec-1

)

0

2

4

6

8

10

12

14 Methanol Nucleation Rates

Strey, Wagner and Schmeling JCP 1986

272 K

255 K 240 K 230 K

Experimental Nucleation rates JEXP vs Classical Theory Predictions JCLASSICAL

MOTIVATION FOR THIS WORK

• Classical Nucleation Model – Poor temperature dependence

• To apply a molecular treatment of small Methanol clusters – Avoid use of bulk surface tension and describe cluster as discrete set of molecules

• To build a foundation for treating binary systems comprising methanol and water

MCDS nucleation rate model:MCDS nucleation rate model:

(n*) (n*) = critical size cluster = critical size cluster concentration from Monte Carlo concentration from Monte Carlo

Nucleation rate, Nucleation rate,

JJMCDSMCDS = classical steady state form = classical steady state form

J J MCDS MCDS = = JJo clo cl (n*)(n*) Monte CarloMonte Carlo

JJo clo cl = = monomer flux factor times Zeldovich factormonomer flux factor times Zeldovich factor

Use sum of Monte Carlo free energy differences.Use sum of Monte Carlo free energy differences.

THREE-SITE INTERMOLECULAR PAIR POTENTIAL FOR METHANOL*

* Monica E. van Leeuwen and Berend Smit, J. Phys Chem, 99,1831 (1995)

Oxygen

CH3

Methyl group

Hydrogen++

Atom/Func grp

O 86.5 3.030 -0.700

CH3 105.2 3.740 +0.265

H 0.0 0.0 +0.435rCO 1.4246 Å

rOH 0.9451 Å108.53o

Uαβ = ULJ + UCOULOMB

STATISTICAL MECHANICAL FORMALISM

Law of Mass Action

(Assuming non-interacting mixture of ideal gases with each cluster constituting an ideal gas system)

Separating the kinetic energy contribution from the canonical partition function, Z, we have….

‘Q’ is the configurational partition function

After algebraic manipulations, we have

‘S1’ is the monomer supersaturation ratio

where,

The Two Canonical Ensembles

Ensemble A

n molecules

Ensemble B

(n-1) molecules in cluster + one monomer

We plot

vs

or,

ANALYSIS OF -δFn

Methanol Clusters

n-1/3

0.0 0.5 1.0

-f n

0

10

20

T = 240K

experiment

vs

vs

Methanol Clusters

n-1/3

0.0 0.5 1.0

-f n

0

10

20

T = 260K

experiment

vs

Methanol Clusters

n-1/3

0.0 0.5 1.0

-f n

0

10

20

T = 280K

experiment

MOTIVATION FOR SCALING OF FREE ENERGY DIFFERENCES WITH (TC/T – 1)

is the cluster excess surface entropy per molecule

is a nearly universal constant. It is about ‘2’ for most substances, but for associated liquids, it is

approximately ‘1.5’

Scaled Free Energy Differences

n-1/3

0.0 0.5 1.0

-f n

/ [ T

c /T

-1

]

0

10

20

T = 260K T = 240K

T = 280K

experiment

Average of Scaled -fn

n-1/3

0.0 0.5 1.0

-f n

/ [

Tc

/T -

1 ]

0

10

20

= 1.2

- - - 10.75 - 3.87 n-1/3

experiment

log J CLASSICAL x 10-7(cm-3sec-1)

0 2 4 6 8 10 12 14

log J

EX

P (cm

-3se

c-1)

0

2

4

6

8

10

12

14 Methanol Nucleation Rates

Strey, Wagner and Schmeling JCP 1986

272 K

255 K 240 K 230 K

Experimental Nucleation rates JEXP vs Classical Theory Predictions JCLASSICAL

Experimental Nucleation rates JEXP vs Monte Carlo calculated Nucleation rates JMCDS

log JMCDSx 10-7(cm-3sec-1)

0 2 4 6 8 10 12 14

log J

EX

P (cm

-3se

c-1)

0

2

4

6

8

10

12

14 Methanol Nucleation Rates

Strey, Wagner and Schmeling JCP 1986

272 K

255 K

240 K 230 K

Results and Discussion

• Potential model and free energy difference results:

-- slope agrees with σbulk in the limit of large cluster sizes

-- intercept indicates about the right vapor pressure

-- the free energies scale with [Tc/T -1] and permit

predictions of J over range of T

• Prediction of nucleation rate:

-- no improvement over classical model in terms of magnitude -- improved temperature dependence for 255 K and 272 K data

• Large discrepancy in magnitude of J:

Experimental data are corrected for small n-mer formation

(Strey et al). Can present model provide improved estimate of heat of association effect on final temperature?