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Molecular dynamics simulations of substrate hydrophilicity and

confinement effects in capped nafion films

Citation for published version (APA):

Sengupta, S., & Lyulin, A. V. (2018). Molecular dynamics simulations of substrate hydrophilicity and confinement effects in capped nafion films. Journal of Physical Chemistry B, 122(22), 6107-6119.

https://doi.org/10.1021/acs.jpcb.8b03257

Document license: CC BY-NC-ND

DOI:

10.1021/acs.jpcb.8b03257

Document status and date: Published: 07/06/2018

Document Version:

Accepted manuscript including changes made at the peer-review stage

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S1

SUPPORTING INFORMATION

Molecular Dynamics Simulations of Substrate

Hydrophilicity and Confinement Effects in Capped

Nafion Films

Soumyadipta Sengupta1,*, Alexey V. Lyulin 1,2

1Theory of Polymers and Soft Matter, Department of Applied Physics, Eindhoven University of

Technology, Eindhoven 5600 MB, The Netherlands

2Center for Computational Energy Research, Department of Applied Physics, Eindhoven

University of Technology, Eindhoven 5600 MB, The Netherlands

I. Model Construction

The Nafion chains were constructed using Materials Studio1. The molecular structure of Nafion is

shown in Figure 1 [main document]. The value of n is taken as 7 for this study, corresponding to

an equivalent weight (EW) of 1100. An equivalent weight of 1100 represents common varieties

of Nafion like Nafion-117 and Nafion-112. The value of m represents the degree of

polymerization and this has been taken as m=10. Polyelectrolytes like Nafion2, Aciplex3 and

PFSI4, which have a PTFE backbone, have been previously modelled using 10 monomers in a

(3)

S2

Three different simulation boxes were constructed corresponding to the three different

thickness values (6.3nm, 8.7nm, 11.5 nm) using the Amorphous Cell module of Materials

Studio1. The different simulated thickness values represent varying nanoparticle filler fractions,

i.e., the thinner the film, the higher the filler fraction could be. Each simulation box had 17

Nafion chains, 170 hydronium ions and 2380 water molecules. The simulation box was confined

in the Z direction and was periodic in the X and Y directions. A fixed boundary was used for the

Z direction. The corresponding lateral (X and Y directions) dimensions varied from 6 nm (the

thinnest film) to 4.5 nm (the thickest film).

Bulk Nafion simulations were also performed in 3D periodic boxes at the same hydration level

λ=15 for two different system sizes of 7 and 17 Nafion chains. No finite size effects have been

observed on comparing the density, radial distribution functions (RDFs) and water diffusion

coefficients.

All the simulation results for bulk and interfacial models shown in the present paper are for a

17 chain Nafion system.

II. Simulation Protocol

Each of the simulation boxes were energy minimized using the conjugate gradient algorithm in

LAMMPS5. Two different temperatures of 300 K and 353 K were chosen for the present

simulations (300 K is the room temperature and 353 K is the average operating temperature for

PEMFCs).

The equilibration and production runs were also carried out using LAMMPS software5. For a

(4)

S3

walls with both 𝜖𝑝ℎ𝑜𝑏 and 𝜖𝑝ℎ𝑦𝑙 fixed at 0.25 kcal/mol. Then, the simulation box was subjected to a NVT run of 0.2 ns at T=300 K/353 K. After that, the simulation box was subjected to an

annealing sequence in which the sample was heated up from 300 K/353 K to 600 K in 50 ps,

maintained at 600 K for additional 50 ps and cooled down from 600 K back to 300 K/353 K in

another 50 ps. This cycle was repeated for five times. After the annealing cycles were completed,

the sample was simulated in the canonical NVT ensemble at T=300 K/353 K for 0.2 ns. After

that, the sample was simulated under NpT conditions for another 7 ns at p=1 atm (in the lateral

periodic dimensions) and T=300 K/353 K. The density of the sample has been stabilized after

about 1.5 ns of NpT simulations. The final configuration after 7 ns of NpT simulations was used

as a starting configuration for simulations with five different 𝜖𝑝ℎ𝑦𝑙 values at a fixed film

thickness. Then, each of these different 𝜖𝑝ℎ𝑦𝑙 value simulation boxes underwent the same simulation protocol as mentioned above (in this paragraph). For a fixed film thickness, different

initial configurations were also implemented to increase the statistics and to confirm the accuracy

of the simulations.

The Nose-Hoover style thermostat and barostat6,7 in LAMMPS5 were used for maintaining the

temperature and pressure, as imposed during the NVT/NpT simulation. The Verlet integration

algorithm8 was used for time integration of the equations of motion. The slab PPPM9 solver was

used for solving electrostatic interactions in the Nafion film simulations while the normal PPPM

solver was used for bulk Nafion simulations. The cutoff for non-bonded interactions was set at 10

Å. The time step was 1 fs for all the simulations.

The density of the samples has been stabilized at around 1.5 ns (Fig. S1) from the start of the

NpT simulations for both T=300 K/353 K. The last 3 ns of the NpT simulation was used for

(5)

S4

analysis. The RDFs and average water cluster sizes did not show any significant variation during

this time.

III. Force Field Validation

Bulk Nafion was simulated at T =300 K and 353 K and at p = 1 atm to ascertain the validity of

the force field. The density at λ= 15 at T=300 K was 1.83 g/cc and at T=353 K was 1.79 g/cc.

These density values were within 5% of previously observed experimental Nafion density at

T=300 K10,11 and simulated Nafion density at T=363 K12. The radial distribution functions

(RDFs) for sulfur-oxygen (water) and sulfur-oxygen (hydronium) for bulk Nafion are shown in

Figure S1. The peak distances for these RDFs also agree well with previous simulations13,14. The

first peak of sulfur-sulfur (S-S) radial distribution function, as seen in Figure S2 , was at 4.4 Å

which is within the range of the first peak distances observed in previous simulation studies2,14.

The oxygen (water) - oxygen (water) first peak, as seen in Figure S3, was at 2.9 Å which is also

quite similar to the previous simulation studies2,15.

The diffusion coefficient of water in Nafion at λ= 15 for T=300 K was 0.98*10-5 cm2/s and at

T=353 K was 1.93*10-5 cm2/s. These values were within the range of the previous simulation

data14,12 and the experimental16 water diffusion coefficient values at λ= 15. The diffusion

coefficient for hydronium was 0.25*10-5 cm2/s (T=300 K) and 0.48*10-5 cm2/s (T=353 K) which

agreed well with the previous simulation14 and experimental values17,18,19.

The density of bulk hydrated Nafion has been decreased with increasing hydration levels and

with increasing temperature. The water and hydronium diffusion coefficient values have been

increased with increasing hydration levels and with increasing temperature. This is consistent

(6)

S5

The sulfur-sulfur radial distribution function (RDF) (Figure S2), sulfur-sulfur coordination

number (CN) (Figure S3), sulfur-oxygen (water) CN (Figure S4), oxygen (water) - oxygen

(water) RDF (Figure S5), layer resolved side chain orientations (Figure S6), water cluster

distributions (Figure S7), film averaged in-plane water mean square displacement (Figure S8) and

layer resolved in-plane water diffusion coefficients (Figure S9) have been shown below.

IV. Sulfur-Sulfur Radial Distribution Functions

Figure S2. Sulfur-Sulfur radial distribution functions (RDF) for different wall

hydrophilicity values for (a) 8.7nm film (b) 11.5 nm film. The RDF values for bulk Nafion

are also shown

(a) (b)

Figure S1. Radial distribution functions for bulk Nafion. S-

(7)

S6 V. Sulfur-Sulfur Coordination Number

VI. Sulfur-Oxygen (Water) Coordination Number

Figure S4. Sulfur-Oxygen (water) coordination numbers (CN) for different wall

hydrophilicity values for (a) 8.7nm film (b) 11.5 nm film. The CN values for

bulk Nafion are also shown

(a) (b)

Figure S3. Sulfur-Sulfur coordination numbers (CN) for different wall hydrophilicity

values for (a) 8.7nm film (b) 11.5 nm film. The CN values for bulk Nafion are also

shown

(8)

S7 VII. Side Chain Orientation

(a) (b)

(c)

Figure S5. Side chain orientation with respect to Z-axis for different film thickness values for (a)

𝜖𝑝ℎ𝑦𝑙 = 0.50 kcal/mol wall (b) 𝜖𝑝ℎ𝑦𝑙= 1.20 kcal/mol wall (c) 𝜖𝑝ℎ𝑦𝑙 = 1.50 kcal/mol wall. Relative

(9)

S8 VIII. Oxygen (Water) – Oxygen (Water) Radial Distribution Functions

(a) (b)

(c)

Figure S6. Radial distribution functions (RDF) for Ow-Ow for different wall hydrophilicity values for (a)

(10)

S9 IX. Water Cluster Distribution

(a)

(b)

Figure S7. Water cluster distributions for cluster sizes from 100 to 2380 for

different wall hydrophilicity for (a) 8.7 nm film (b) 11.5 nm film. Bulk Nafion

(11)

S10 X. Mean Square Displacement

(a) (b)

(c)

Figure S8. Mean square displacement (MSD) vs time plots for water in the planar direction (X

and Y direction combined) for different wall hydrophilicity values (in kcal/mol) for (a) 6.3 nm

film (b) 8.7nm film (c) 11.5 nm film. Bulk Nafion MSD is also shown. The dotted line denotes a

(12)

S11 XI. Layer Resolved Diffusion Coefficients

Figure S9. Layer resolved in-plane water diffusion constants (D) normalized by two

dimensional water diffusion constant (Dbulk) at λ=15 for bulk Nafion. Results are

shown for (a) 8.7 nm and (b) 11.5 nm film for varying wall hydrophilicity. Relative

distance (t/T) is defined as the distance (t) from a wall divided by the film thickness

(T).

(b) (a)

(13)

S12 REFERENCES

(1) Module, C. Material Studio, Version 7.0. Accelrys Inc., San Diego, CA 2013.

(2) Devanathan, R.; Venkatnathan, A.; Dupuis, M. Atomistic Simulation of Nafion Membrane: I. Effect of Hydration on Membrane Nanostructure. J. Phys. Chem. B 2007, 111 (28), 8069–8079.

(3) Sunda, A. P.; Venkatnathan, A. Atomistic Simulations of Structure and Dynamics of Hydrated Aciplex Polymer Electrolyte Membrane. Soft Matter 2012, 8 (42), 10827–10836.

(4) Idupulapati, N.; Devanathan, R.; Dupuis, M. Molecular Structure and Transport Dynamics in Perfluoro Sulfonyl Imide Membranes. J. Phys. Condens. matter 2011, 23, 234106.

(5) Sun, H.; Mumby, S.; Maple, J. An Ab Initio CFF93 All-Atom Force Field for Polycarbonates. J. Am.

Chem. Soc. 1994, 116, 2978–2987.

(6) Martyna, G. J.; Tobias, D. J.; Klein, M. L. Constant Pressure Molecular Dynamics Algorithms. J.

Chem. Phys. 1994, 101 (5), 4177–4189.

(7) Shinoda, W.; Shiga, M.; Mikami, M. Rapid Estimation of Elastic Properties by Molecular Dynamics under Constant Stress. Phys. Rev. B 2004, 69 (2004), 134103.

(8) Verlet, L. Computer “experiments” on Classical Fluids. I. Thermodynamical Properties of Lennard-Jones Molecules. Phys. Rev. 1967, 159 (1), 98–103.

(9) Hockney, R. W.; Eastwood, J. W. Computer Simulation Using Particles. SIAM Review. 1988, p 540. (10) Takamatsu, T.; Eisenberg, A. Densities and Expansion Coefficients of Nafion Polymers. J. Appl.

Polym. Sci. 1979, 24 (11), 2221–2235.

(11) Morris, D. R.; Sun, X. Water-Sorption and Transport Properties of Nafion 117 H. J. Appl. Polym. Sci.

1993, 50 (8), 1445–1452.

(12) Karo, J.; Aabloo, A.; Thomas, J. O.; Brandell, D. Molecular Dynamics Modeling of Proton Transport in Nafion and Hyflon Nanostructures. J. Phys. Chem. B 2010, 114 (18), 6056–6064.

(13) Jang, S. S.; Molinero, V.; Tahir, C.; Goddard III, W. A. Nanophase-Segregation and Transport in Nafion 117 from Molecular Dynamics Simulations : Effect of Monomeric Sequence. J. Phys. Chem.

B 2004, 108 (10), 3149–3157.

(14) Cui, S.; Liu, J.; Selvan, M. E.; Keffer, D. J.; Edwards, B. J.; Steele, W. V. A Molecular Dynamics Study of a Nafion Polyelectrolyte Membrane and the Aqueous Phase Structure for Proton Transport. J.

Phys. Chem. B 2007, 111 (9), 2208–2218.

(15) Venkatnathan, A.; Devanathan, R.; Dupuis, M. Atomistic Simulations of Hydrated Nafion and Temperature Effects on Hydronium Ion Mobility. J. Phys. Chem. B 2007, 111 (25), 7234–7244. (16) Gong, X.; Bandis, A.; Tao, A.; Meresi, G.; Wang, Y.; Inglefield, P. T.; Jones, A. A.; Wen, W. Y.

Self-Diffusion of Water, Ethanol and Decafluoropentane in Perfluorosulfonate Ionomer by Pulse Field Gradient NMR. Polymer (Guildf). 2001, 42 (15), 6485–6492.

(17) Zawodzinski, T. A.; Davey, J.; Valerio, J.; Gottesfeld, S. The Water Content Dependence of Electro-Osmotic Drag in Proton-Conducting Polymer Electrolytes. Electrochim. Acta 1995, 40 (3), 297– 302.

(14)

S13 (18) Kreuer, K. . On the Development of Proton Conducting Materials for Technological Applications.

Solid State Ionics 1997, 97 (1–4), 1–15.

(19) Perrin, J.-C.; Lyonnard, S.; Volino, F. Quasielastic Neutron Scattering Study of Water Dynamics in Hydrated Nafion Membranes. J. Phys. Chem. C 2007, 111 (8), 3393–3404.

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