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An Inverse Gibbs-Thomson Effect in Nanoporous Nanoparticles. Ian McCue Jonah Erlebacher Department of Materials Science and Engineering. Materials Research Society, November 29th, 2012. This work is supported by NSF DMR 1003901 . Nanoporous Gold (NPG). Characteristics of NPG - PowerPoint PPT Presentation
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Department of Materials Science and Engineering
An Inverse Gibbs-Thomson Effect in Nanoporous Nanoparticles
Ian McCueJonah Erlebacher
Department of Materials Science and Engineering
This work is supported by NSF DMR 1003901
Materials Research Society, November 29th, 2012
Department of Materials Science and Engineering
Nanoporous Gold (NPG)
Characteristics of NPG
•bicontinuous, open porosity
•tunable pore size ~5 nm 10 microns via electrochemical processing and/or thermal annealing
•porosity is sub-grain sizeNPG is not nanoparticulate
• porosity retains a long-range single crystal networksingle-crystalline to a scale > 3 orders of magnitude larger than any pore/ligament diameter
grain boundary
Department of Materials Science and Engineering
Electrochemistry of Porosity Evolution
The “critical potential” separates two potential windows: • below Ec planar, passivated morphologies• sufficiently far above Ec porosity evolution
What changes with potential?• rate of silver dissolution (fast), surface diffusivity
(slow)
Department of Materials Science and EngineeringErlebacher, J., J. Electrochem. Soc. 151 (2004), C614
A. Nucleation and growthof vacancy islands
B. Development of gold-passivated mounds
C. Evolution of gold-poor mound bases
D. Mound undercutting, nucleation of new goldmounds, and pore bifurcation
E. Evolution of gold-passivated porosity
F. Post-dealloying coarsening,and/or further dissolution
Formation Mechanism in Bulk Systems
Department of Materials Science and Engineering
Kinetic Monte Carlo (KMC):A simulation tool to study coarsening
real nanoporous gold
KMC Algorithm1. Tabulate all possible transitions
2. The time for an event to occur with 100% probability is:
3. Pick an event to occur during the time interval with probability
4. Move atoms corresponding to event
5. Update neighbors, transition list, go to step 2 and repeat
simulated nanoporous metal
ik
1
lnN
ii
t k
where is a random number in
0,1
i1
1
N
i i jj
P k k
i
Rate Parameter for Surface Diffusion:
Rate Parameter for Dissolution:
1 exp Bdiff
b
nEk vk T
13 1
1 10 secv
2 exp Bdiss
b
nEk vk T
4 12 10 secv
0.15eVBE
applied potential
n coordination
Department of Materials Science and Engineering
Nanoporous Nanoparticles
J. Snyder, J. Erlebacher
Initial ConditionsLooked at four different particle sizes: radii of 10, 15, 25 and 40 atomsLooked at three different compositions: 65%, 75%, and 85% AgSimulations ran for 104-105 simulated seconds, or ~ 5 x108 iterations
Department of Materials Science and Engineering
Gibbs-Thomson Effects on Electrochemical Stability
L. Tang, B. Han, K. Persson, C. Friesen, T. He, K. Sieradzki, G. Ceder, J. Electrochem. Soc. 132, 596 (2010).
• Particle of radius r will have additional surface energy increase per atom by:
where is the atomic vol.
• Smaller means more unstable
• G-T effect manifests in electrochemical stability of nanoparticles
• Decrease in dissolution potential of atom by:
where n is the number of electrons given up to form metal cation
2 r
E n
Department of Materials Science and Engineering
What about Binary Particles? NO!
• Does not mean Ag atoms require more energy to dissolve
• As size decreases more potential is required to form porosity
The potential we are measuring is not a certain critical current, but an intrinsic potential based on the propensity that a particle will dealloy
Department of Materials Science and Engineering
Porosity Evolution in Nanoparticles
• Low-coordination surface silver sites are dissolved
• Surface gold atoms quickly passivate the surface
• Regions of bulk are exposed due to fluctuations in the outermost layer and porosity can occur
Department of Materials Science and Engineering
Porosity Evolution in Nanoparticles (cont)Diffuse threshold between passivation and porosity evolution
Smaller volume corresponds to fully dealloyed particles
Larger volume corresponds to passivated particles
Define Ep as potential where the distribution area of each Gaussian was equal
Below Ep Above Ep
1:1 Ratio
Department of Materials Science and Engineering
Observation on Porosity Evolution in NP
Surface Diffusion events are controlled by kink fluctuations
Ag terrace atoms are the rate limiting step in dissolution
Department of Materials Science and Engineering
Kinetic Derivation
Can setup a first order rate equation for the change in the number of surface silver atoms
AgAgpercdiss kink
dNk P P Ndt
Probability Ag atom is connected to bulk Ag atoms
Equilibrium Number of Ag atoms on the surface
exp 9diss B P Bk E E k T
Probability of Au fluctuation at a kink site
Department of Materials Science and Engineering
Solution to Kinetic Equation
0 119 ln ln0
AgP B b
perckink Ag
NE E k T vP P t N
• Single dissolution event at the passivated state leads to porosity evolution
• Simplest criterion for Ep is that over a time interval ∆t- the lifetime of the step edge fluctuation- is that 0 1Ag AgN t N
Department of Materials Science and Engineering
Percolation Probability for Surface Ag Atoms
What does percolation probability mean: • Can we trace a path of silver atoms from one side of
the particle to the other
Department of Materials Science and Engineering
Number of Ag Terrace Atoms
Ag terrace atoms distributed evenly across facets
As particle size increases:
• Facet size does not appreciably increase
• Ag atoms are found on the edges of facets
• As a result the number of Ag terrace sites scales with the radius
Department of Materials Science and Engineering
Surface Diffusion
Key points:• Peak at ~10-6 corresponds to adatom fluctuations• Peak at ~101 corresponds to fluctuations at step edges• Area under kink interval curve corresponds to Pkink
Radius 40Radius 10
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Evaluation of Kinetic Expression
Department of Materials Science and Engineering
Summary
• Porosity evolution in nanoparticles is dependent on a chorus of size dependent variables and exhibits rich complexity
• Gibbs-Thomson effects dictate the size dependence, but not as we initially expected
• First order rate equation gives an awesome fit to our observed results
• Major conclusion is that surface diffusion changes the critical potential
• Could potentially tailor porosity in nanoparticles adding an alloying component that will kill the formation of a passivating monolayer
Department of Materials Science and Engineering
Acknowledgements
• Jonah Erlebacher• Erlebacher Research Group
• Josh Snyder• Ellen Benn
• Felicitee Kertis