Top Banner
JOURNAL OF MATERIALS SCIENCE 39 (2 0 0 4 ) 2315 – 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes in toluene M. GRUJICIC , G. CAO Department of Mechanical Engineering, Program in Materials Science and Engineering, Clemson University, Clemson, SC 29634, USA E-mail: [email protected] W. N. ROY Army Research Laboratory—Processing and Properties Branch Aberdeen, Proving Ground, MD 21005-5069, USA Solubilization of the armchair, metallic (10,10) single-walled carbon nanotubes (SWCNTs) in toluene is modeled using molecular dynamics simulations. Inter- and intra-molecular atomic interactions in the SWCNT + toluene system are represented using COMPASS (Condensed-phased Optimized Molecular Potential for Atomistic Simulation Studies), the first ab initio forcefield that enables an accurate and simultaneous prediction of various gas-phase and condensed-phase properties of organic and inorganic materials. The results obtained show that due to a significant drop in the configurational entropy of toluene, the solvation Gibbs free energy for these nanotubes in toluene is small but positive suggesting that a suspension of these nanotubes in toluene is not stable and that the nanotubes would fall out of the solution. This prediction is consistent with experimental observations. C 2004 Kluwer Academic Publishers 1. Introduction Due to a unique combination of their mechanical, elec- trical and chemical properties, carbon nanotubes have been investigated very aggressively since their discov- ery in 1991 [1]. Depending on the fabrication method used, carbon nanotubes appear either predominantly as single-walled carbon nanotubes (SWCNTs) or as multi- walled carbon nanotubes (MWCNTs). SWCNTs, pre- dominantly produced in carbon ablation and arc dis- charge processes, can be described as single graphene sheets rolled up into a cylinder with a quasi-one- dimensional crystal structure. Depending on their diam- eter and the spiral conformation (chirality), SWCNTs can be either semiconducting or metallic. Mechani- cal properties of SWCNTs are quite remarkable; their elastic modulus is typically above 1TPa, and they can undergo very large non-uniform (even highly local- ized) reversible deformations. Except for their ends and the locations of topological defects (e.g., 7-5-5-7 and Stone-Wales defects), SWCNTs are generally not very reactive. MWCNTs are generally produced during thermal decomposition of carbon precursors. Due to a weak inter-wall bonding, MWCNTs have generally infe- rior mechanical properties relative to those of the SWCNTs. Their electrical properties are similar to those of the SWCNTs although they can not be eas- ily correlated with their chirality. Chemical properties of the MWCNTs are dominated by thestructure of their Author to whom all correspondence should be addressed. outer wall and are, hence, similar to the ones of the SWCNTs. While carbon nanotubes have been perceived as hav- ing a great potential in many critical applications (e.g., field-emission flat-panel displays [e.g., 2], novel mi- croelectronic devices [e.g., 3], hydrogen storage de- vices [e.g., 4], structural reinforcement agents [e.g., 5], and chemical and electrochemical sensors [e.g., 6]), the lack of control of their purity and diameter, length and chirality distributions during fabrication is a major current obstacle to their full utilization. During fabri- cation of the carbon nanotubes, other materials such as carbon onions and turbostratic/amorphous graphite are also generally produced. Many techniques (e.g., oxi- dation) have been proposed for separation of the car- bon nanotubes from the unwanted byproducts. How- ever, a method is currently lacking for separation of the carbon nanotubes according to their diameter and/or chirality, the key geometrical and structural pa- rameters which control electronic properties of these materials. Recently, a new approach for carbon nanotube sepa- ration and purification has been demonstrated [7]. The method is based on non-covalent sidewall function- alization (attachment of functional groups/molecules on the outer wall) of SWCNTs and MWCNTs with π -conjugated poly( p-phenlyenevinylene-co-2, 5-dioctoxy-m-phenylenevinylene) (PmPV-co-DOct- OPV) polymer. Pristine carbon nanotubes, despite 0022–2461 C 2004 Kluwer Academic Publishers 2315
12

JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

Jun 11, 2020

Download

Documents

dariahiddleston
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

J O U R N A L O F M A T E R I A L S S C I E N C E 3 9 (2 0 0 4 ) 2315 – 2325

Atomistic simulations of the solubilization

of single-walled carbon nanotubes in toluene

M. GRUJICIC∗, G. CAODepartment of Mechanical Engineering, Program in Materials Science and Engineering,Clemson University, Clemson, SC 29634, USAE-mail: [email protected]

W. N. ROYArmy Research Laboratory—Processing and Properties Branch Aberdeen, Proving Ground,MD 21005-5069, USA

Solubilization of the armchair, metallic (10,10) single-walled carbon nanotubes (SWCNTs) intoluene is modeled using molecular dynamics simulations. Inter- and intra-molecularatomic interactions in the SWCNT + toluene system are represented using COMPASS(Condensed-phased Optimized Molecular Potential for Atomistic Simulation Studies), thefirst ab initio forcefield that enables an accurate and simultaneous prediction of variousgas-phase and condensed-phase properties of organic and inorganic materials.

The results obtained show that due to a significant drop in the configurational entropy oftoluene, the solvation Gibbs free energy for these nanotubes in toluene is small butpositive suggesting that a suspension of these nanotubes in toluene is not stable and thatthe nanotubes would fall out of the solution. This prediction is consistent with experimentalobservations. C© 2004 Kluwer Academic Publishers

1. IntroductionDue to a unique combination of their mechanical, elec-trical and chemical properties, carbon nanotubes havebeen investigated very aggressively since their discov-ery in 1991 [1]. Depending on the fabrication methodused, carbon nanotubes appear either predominantly assingle-walled carbon nanotubes (SWCNTs) or as multi-walled carbon nanotubes (MWCNTs). SWCNTs, pre-dominantly produced in carbon ablation and arc dis-charge processes, can be described as single graphenesheets rolled up into a cylinder with a quasi-one-dimensional crystal structure. Depending on their diam-eter and the spiral conformation (chirality), SWCNTscan be either semiconducting or metallic. Mechani-cal properties of SWCNTs are quite remarkable; theirelastic modulus is typically above 1TPa, and they canundergo very large non-uniform (even highly local-ized) reversible deformations. Except for their ends andthe locations of topological defects (e.g., 7-5-5-7 andStone-Wales defects), SWCNTs are generally not veryreactive.

MWCNTs are generally produced during thermaldecomposition of carbon precursors. Due to a weakinter-wall bonding, MWCNTs have generally infe-rior mechanical properties relative to those of theSWCNTs. Their electrical properties are similar tothose of the SWCNTs although they can not be eas-ily correlated with their chirality. Chemical propertiesof the MWCNTs are dominated by thestructure of their

∗Author to whom all correspondence should be addressed.

outer wall and are, hence, similar to the ones of theSWCNTs.

While carbon nanotubes have been perceived as hav-ing a great potential in many critical applications (e.g.,field-emission flat-panel displays [e.g., 2], novel mi-croelectronic devices [e.g., 3], hydrogen storage de-vices [e.g., 4], structural reinforcement agents [e.g., 5],and chemical and electrochemical sensors [e.g., 6]),the lack of control of their purity and diameter, lengthand chirality distributions during fabrication is a majorcurrent obstacle to their full utilization. During fabri-cation of the carbon nanotubes, other materials such ascarbon onions and turbostratic/amorphous graphite arealso generally produced. Many techniques (e.g., oxi-dation) have been proposed for separation of the car-bon nanotubes from the unwanted byproducts. How-ever, a method is currently lacking for separationof the carbon nanotubes according to their diameterand/or chirality, the key geometrical and structural pa-rameters which control electronic properties of thesematerials.

Recently, a new approach for carbon nanotube sepa-ration and purification has been demonstrated [7]. Themethod is based on non-covalent sidewall function-alization (attachment of functional groups/moleculeson the outer wall) of SWCNTs and MWCNTswith π -conjugated poly(p-phenlyenevinylene-co-2,5-dioctoxy-m-phenylenevinylene) (PmPV-co-DOct-OPV) polymer. Pristine carbon nanotubes, despite

0022–2461 C© 2004 Kluwer Academic Publishers 2315

Page 2: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

Report Documentation Page Form ApprovedOMB No. 0704-0188

Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering andmaintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information,including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, ArlingtonVA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if itdoes not display a currently valid OMB control number.

1. REPORT DATE 2004 2. REPORT TYPE

3. DATES COVERED 00-00-2004 to 00-00-2004

4. TITLE AND SUBTITLE Atomistic simulations of the solubilization of single-walled carbonnanotubes in toluene

5a. CONTRACT NUMBER

5b. GRANT NUMBER

5c. PROGRAM ELEMENT NUMBER

6. AUTHOR(S) 5d. PROJECT NUMBER

5e. TASK NUMBER

5f. WORK UNIT NUMBER

7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) Celmson University,Department of Mechanical Engineering,Clemson,SC,29634

8. PERFORMING ORGANIZATIONREPORT NUMBER

9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR’S ACRONYM(S)

11. SPONSOR/MONITOR’S REPORT NUMBER(S)

12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release; distribution unlimited

13. SUPPLEMENTARY NOTES

14. ABSTRACT

15. SUBJECT TERMS

16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT Same as

Report (SAR)

18. NUMBEROF PAGES

11

19a. NAME OFRESPONSIBLE PERSON

a. REPORT unclassified

b. ABSTRACT unclassified

c. THIS PAGE unclassified

Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

Page 3: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

their hydrophobic character, are found not to besoluble in non-polar solvents such as toluene. Howeverafter functionalization with the PmPV-co-DOctOPV,carbon nanotubes become soluble and can be sus-pended in toluene. While solubilization of the carbonnanotubes through sidewall functionalization can beachieved in many different ways, it is critical thatthe functionalization is of a non-covalent characterso that the electronic characteristics of the carbonnanotubes (governed by their sp2 hybridization) are notaltered.

In a series of papers, Blau and co-workers [7–16] carried out a detailed experimental and computa-tional investigation of SWCNT and MWCNT solubi-lization in toluene through sidewall functionalizationwith PmPV-DOctOPV. Their atomistic simulation re-sults showed that the backbone of the PmPV-DOctOPVmolecule adopts a relatively flat helical structure whichis governed by the meta-phenylene linkage. The vander Waals interaction between octyloxy groups, onthe other hand, causes these groups to project out-wards from the helical structure. This PmPV-DOctOPVconformation is shown to promote adhesion of thesemolecules to the nanotubes and, hence, is believedto play a critical role in the nanotubes solubilizationprocess. While the work of Blau and co-workers [7–16] has resulted in a major improvement of our un-derstanding of nanotubes solubilization with sidewallfunctionalization, two important points were not ad-dressed in their work: (a) why hydrophobic nanotubesare not soluble in nonpolar solvents like toluene and(b) what is the role of the solvent in nanotubes solu-bilization by sidewall functionalization. In the presentwork, we investigate, using atomistic simulations, thefirst of the two outstanding issues, i.e., solubilizationof the carbon nanotubes in toluene. While this processcan be expected to be affected by the nanotubes chi-rality, the results obtained in the present work showthat the chirality effect is minor. Hence, only the re-sults pertaining to solubilization of the armchair metal-lic, (10,10) SWCNTs in toluene are presented in thispaper.

The organization of the paper is as follows: A de-scription of the computational cell, the computationalmethod and the inter-atomic forcefield potentials usedin the present work is presented in Section 2. Themain results obtained in the present work are pre-sented and discussed in Section 3, while the key conclu-sions resulted from the present study are summarizedin Section 4.

2. Computational procedure2.1. Computational cellComputer simulations of the structure of pure tolueneare carried out using a 2.604 nm by 2.604 nm by2.604 nm cubic computational cell with periodicboundary conditions applied in all three principal direc-tions. One hundred molecules are placed in the cell toobtain the average density of toluene essentially equalto its experimental counterpart (867 kg/m3). Toluene(C6H5CH3) is the simplest alkyl benzene, the methyl-benzene, in which one of the hydrogen atoms in the

Figure 1 Geometrically optimized structure of a toluene molecule andthe corresponding atomic charges.

benzene (C6H6) is replaced by a methyl group (CH3).At room temperature, toluene is in liquid state. Thegeometrically optimized structure of toluene along withthe atomic charges is shown in Fig. 1.

To model the interactions between isolated (farspaced) carbon nanotubes and the toluene solvent, a4.04 nm by 4.04 nm by 4.154 nm rectangular com-putational cell with periodic boundary conditions ap-plied in all three principal directions is used. A single(10,10) SWCNT with its axis aligned in the z-directionis placed in the center of the computational cell. Thus,the SWCNT is considered as infinitely long and theend-effects associated with its hemispherical caps areneglected. The end effects are generally considered toplay a minor role in the SWCNT solubilization processdue to a very large (ca. 100–1000) length-to-diameteraspect ratio in the SWCNTs. The lengths of the compu-tational cell in the x- and y-directions are sufficientlylarge that interactions between the SWCNTs in the ad-jacent cells can be neglected. 330 molecules of tolueneare placed in the computational cell around the SWCNTand the size of the computational cell in the x- andy-directions adjusted until the toluene density in theregions far away from the SWCNT reached a valueclose to the average experimental density of toluene(867 kg/m3).

2.2. Computational methodThe (10,10) SWCNT + toluene system discussed inthe previous section is modeled using classical molecu-lar dynamics simulations in the microcanonical (NVE)ensemble. To ensure stability of the simulations andenergy conservation, a constant time step of 0.2 fsis used for numerical integration of the equations ofmotion.

After placing the nanotube and the toluene moleculesinto the computational cell, the canonical (NVT)molecular simulations are first carried out for 5 ps un-til the system is equilibrated at a desired temperatureof 300 K. Temperature control is achieved by velocityscaling which was carried out every 1 fs. Once the sys-tem is equilibrated, microcanonical (NVE) simulationsare carried out for additional 5 ps and the data colletedfor computation of the system properties.

2316

Page 4: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

Figure 2 A snapshot of the molecular configurations for: (a) pure toluene and (b) toluene containing SWCNTs.

Snapshots of the molecular configurations in puretoluene and in toluene containing a SWCNT is shownin Fig. 2a and b, respectively.

2.3. ForcefieldWhile the accurate simulation of a system of interactingparticles generally entails the application of quantummechanical techniques, such techniques are computa-tionally quite expensive and are usually feasible only

in systems containing up to few hundreds of interactingparticles. In addition, the main goal of simulations ofthe systems containing a large number of particles isgenerally to obtain the systems’ bulk properties whichare primarily controlled by the location of atomic nu-clei and the knowledge of the electronic structure, pro-vided by the quantum mechanic techniques, is not crit-ical. Under these circumstances, a good insight intothe behavior of a system can be obtained if a reason-able, physically-based approximation of the potential

2317

Page 5: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

(forcefield) in which atomic nuclei move is available.Such a forcefield can be used to generate a set of systemconfigurations which are statistically consistent with afully quantum mechanical description.

As stated above, a crucial point in the atomistic sim-ulations of multi-particle systems is the choice of theforcefields which describe, in an approximate manner,the potential energy hypersuface on which the atomicnuclei move. In other words, the knowledge of force-fields enables determination of the potential energy ofa system in a given configuration. In general, the poten-tial energy of a system of interacting particles can beexpressed as a sum of the valence (or bond), Evalence,crossterm, Ecrossterm, and nonbond, Enonbond, interactionenergies as:

Etotal = Evalence + Ecrossterm + Enon-bond (1)

The valence energy generally includes a bond stretch-ing term, Ebond, a two-bond angle term, Eangle, a dihe-dral bond-torsion term, Etorsion, an inversion (or an out-of-plane interaction) term, Eoop, and a Urey-Bradlayterm (involves interactions between two atoms bondedto a common atom), EUB, as:

Evalence = Ebond + Eangle + Etorsion + Eoop + EUB (2)

A schematic explaining the first four types of valenceatomic interactions is given in Fig. 3.

The crossterm interacting energy, Ecrossterm, accountsfor the effects such as bond lengths and angles changescaused by the surrounding atoms and generally in-cludes: stretch-stretch interactions between two ad-jacent bonds, Ebond-bond, stretch-bend interactions be-tween a two-bond angle and one of its bonds, Ebond-angle,bend-bend interactions between two valence anglesassociated with a common vertex atom, Eangle-angle,stretch-torsion interactions between a dihedral angleand one of its end bonds, Eend bond-torsion, stretch-torsioninteractions between a dihedral angle and its middlebond, Emiddle bond-torsion, bend-torsion interactions be-tween a dihedral angle and one of its valence an-gles, Eangle-torsion, and bend-bend-torsion interactionsbetween a dihedral angle and its two valence angles,

Figure 3 A schematic of the: (a) stretch, (b) angle, (c) torsion, and(d) inversion valence atomic interactions.

Eangle-angle-torsion, terms, as:

Ecrossterm = Ebond-bond + Eangle-angle + Ebond-angle

+ Eend bond-torsion + Emiddle bond-torsion

+ Eangle-torsion + Eangle-angle-torsion (3)

The non-bond interaction term, Enonbond, accountsfor the interactions between non-bonded atoms and in-cludes the van der Waals energy, EvdW, the Coulombelectrostatic energy, ECoulomb, and the hydrogen bondenergy, Ehbond, as:

Enon-bond = EvdW + ECoulomb + Ehbond (4)

Inter- and intra-molecular atomic interactions in theSWCNT + toluene system described in the previoussection are modeled using COMPASS (Condensed-phased Optimized Molecular Potential for AtomisticSimulation Studies), the first ab initio forcefield thatenables an accurate and simultaneous prediction of var-ious gas-phase and condensed-phase properties of or-ganic and inorganic materials [17–19]. The COMPASSforcefield uses the following expression for variouscomponents of the potential energy:

Ebond =∑

b

�K2(b − b0)2 + K3(b − b0)3

+ K4(b − b0)4� (5)

Eangle =∑

θ

�H2(θ − θ0)2 + H3(θ − θ0)3

+ H4(θ − θ0)4� (6)

Etorsion =∑

φ

⌊V1

⌊1 − cos

(φ − φ0

1

)⌋+ V2

⌊1 − cos

(2φ − φ0

2

)⌋+ V3

⌊1 − cos

(3φ − φ0

3

)⌋⌋(7)

Eoop =∑

x

Kxχ2 (8)

Ebond-bond =∑

b

∑b′

Fbb′(b − b0)(b′ − b′0) (9)

Eangle-angle =∑

θ

∑θ ′

Fθθ ′(θ − θ0)(θ ′ − θ ′0) (10)

Ebond-angle =∑

b

∑θ

Fbθ (b − b0)(θ − θ0) (11)

Eend bond-torsion =∑

b

∑φ

Fbφ(b − b0)[V1 cos φ

+ V2 cos 2φ + V3 cos 3φ] (12)

Emiddle bond-torsion =∑

b′

∑φ

Fb′φ(b′ − b′0)

× [F1 cos φ + F2 cos 2φ + F3 cos 3φ] (13)

Eangle-torsion =∑

θ

∑φ

Fθφ(θ − θ0)[V1 cos φ

+ V2 cos 2φ + V3 cos 3φ] (14)

2318

Page 6: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

Eangle-angle-torsion =∑

φ

∑θ

∑θ ′

Kφθθ ′

× cos φ(θ − θ0)(θ ′ − θ ′0) (15)

ECoulomb =∑i> j

qiqj

εrij(16)

EvdW =∑i> j

[Aij

r9ij

− Bij

r6ij

](17)

where b and b′ are the bond lengths, θ the two-bondangle, φ the dihedral torsion angle, χ the out of planeangle, q the atomic charge, ε the dielectric constant, rijthe i- j atomic separation distance. b0, Ki(i = 2–4), θ0,Hi (i = 2–4), φ0

i (i = 1–3), Vi(i = 1–3), Fbb′ , b′0, Fθθ ′ ,

θ ′0, Fbθ , Fbφ , Fb′φ , Fi(i = 1–3, Fθφ , Kφθθ ′ , Aij, and Bij

are the system dependent parameters implemented intoDiscover [20], the atomic simulation program used inthe present work.

3. Results and discussion3.1. Pure liquid tolueneTo analyze the structure of the pure toluene (toluene inthe absence of a SWCNT), a radial distribution func-tion and several angular parameters plots are gener-ated using the simulation results and analyzed in thissection.

A number density radial distribution function forpure toluene is displayed in Fig. 4a. The radial posi-tions indicated are associated with the center of massof the toluene molecules. A simple observation of theresults shown in Fig. 4a indicates the presence of awell-defined first solvation shell and a diffuse secondsolvation shell surrounding toluene molecules. The re-sults obtained are very similar to the ones reported byKim and Lee [21].

A probability density plot for the angle the bond be-tween the methyl group and the benzene ring makeswith the benzene-ring plane is shown in Fig. 5a. It isseen that while the most probable value of this angleis zero deg. (the value in the geometrically optimizedstructure of an isolated toluene molecule), a substantialfraction of toluene molecules have this angle as largeas 10 deg. This finding suggests that interactions be-tween the toluene molecules cause minor distortions inthe structure of toluene molecules.

A probability density plot for the angle the benzene-ring normal makes with one of the principal coordinates(arbitrarily chosen as the z-axis) is plotted in Fig. 5b.A dashed line is also shown in Fig. 5b which rep-resents the corresponding radial distribution function( f (θ ) = π/360 sin(θ ), where θ is in degrees) associ-ated with a random distribution of toluene molecules.By comparing the simulation results with the dashedcurve, it can be concluded that the structure of puretoluene, past the first solvation shell, is quite random.

A probability density plot for the angle the bond be-tween the methyl group and the benzene ring makeswith the z-axis is plotted in Fig. 5c. Again, the cor-responding probability density function for a randomdistribution of toluene molecules is displayed. It is seen

Figure 4 Number-density radial distribution function for: (a) puretoluene and (b) toluene containing a SWCNT.

that with respect to this angular parameter, the structureof the pure toluene appears also quite random.

3.2. Single SWCNT solubilized in toluene3.2.1. The structure of toluene in the

presence of a SWCNTThe structure of toluene in the presence of a SWCNTis analyzed using the number-density radial distribu-tion function for carbon and hydrogen atoms in thetoluene, as well as by examining the orientation ofthe toluene molecules with respect to the axis of thenanotube. The effect of SWCNT on the structure ofindividual toluene molecules (primarily the orientationof the methyl/benzene-ring bond) is also studied.

The number-density radial distribution function re-sults for toluene in the presence of a SWCNT is shownin Fig. 4b. Separate plots are generated for carbon andhydrogen in the benzene ring and the carbon and hy-drogen in the methyl group. The results displayed in

2319

Page 7: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

Figure 5 Angular parameters characterizing the structure of pure toluene. Please see text for details.

Fig. 4b can be summarized as follows:

(a) Toluene molecules surrounding the SWCNTform a well-defined first and a more-diffuse second sol-vation shell; and

(b) The orientation of toluene molecules in the firstsolvation shell is such that the benzene-ring portion ofthese molecules is closer to the nanotube axis then themethyl-group part of these molecules. A more completepicture about the orientation of toluene molecules isobtained using the analysis presented below.

A probability density plot for the angle, the methylbond makes with the benzene plane for toluenemolecules in the first solvation shell is displayed inFig. 6a. By comparing the results displayed in Figs 6aand 5a, it can be concluded that the presence of SWCNTdoes not significantly affect the toluene intra-molecularangle in question, and hence, most likely does not sig-nificantly affect the structure of toluene molecules rel-ative to that in the pure solvent.

A probability density plot for the angle between thebenzene plane normal of the toluene molecules in the

first solvation shell and the carbon nanotube axis isdisplayed in Fig. 6b. The results displayed suggest thatthe toluene molecules in the first solvation shell tend toalign themselves in such a way that their benzene planeis parallel to the SWCNT axis. When an analogous plotwas generated for the second solvation shell (the resultsnot shown for the brevity), no significant reorientationof the toluene molecules relative to the structure of puretoluene is observed.

A probability density plot for the angle, the bondbetween the methyl group and the benzene ring makeswith the SWCNT axis, for the toluene molecules inthe first solvation shell is displayed in Fig. 6c. It isseen that the most probable values for this angle are∼30 deg. and 120 deg. This finding suggests that one ofthe carbon-carbon bonds in the benzene ring involvingthe carbon atom of the benzene ring which is bonded tothe methyl group, is nearly orthogonal to the SWCNTaxis.

A probability density plot for the angle between ra-dial vectors connecting the SWCNT axis and the cen-ter of the benzene ring and the benzene ring normal,for the toluene molecules in the first solvation shell, is

2320

Page 8: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

Figure 6 Angular parameter characterizing the structure of toluene in the presence of a SWCNT. Please see text for details.

displayed in Fig. 6d. The results displayed in this figurecombined with the ones shown in Fig. 6b suggest thatthe benzene plane of the toluene molecules in the firstsolvation shell is tangential to the cylindrical walls ofthe first solvation shell.

3.2.2. SWCNT solvation energy in tolueneMolecular dynamic simulation results averaged overthe last 5 ps of the simulation time are also used to an-alyze the energetics of the process of the introductionof a SWCNT from the vacuum into the bulk toluenesolvent. The total energy change accompanying thisprocess, �ET+SWCNT, generally referred to as the sol-vation energy, has three contributions, i.e.:

�ET+SWCNT = �ET + �ESWCNT + E IntT+CNT (18)

where, �ET represents a change in the solvent (toluene)energy accompanying the creation of a cylindrical cav-ity needed to accommodate the SWCNT. �ET (ana-

lyzed below in more details) has two contributions it-self, one associated with a change in the bulk struc-ture of the solvent caused by the presence of the solute(SWCNT) and the other associated with the surface en-ergy of the cylindrical cavity. �ESWCNT in Equation 18represents a change in the SWCNT energy due to sol-vent/solute interactions. �ESWCNT is primarily the re-sult of the changes in the carbon-carbon inter-atomicdistances within the SWCNT caused by interactionsbetween the SWCNT and the toluene molecules in thefirst solvation shell. E Int

SWCNT is the energy of the inter-action between the atoms/molecules of the solvent andthe solute.

Based on the atomic-scale simulations results ob-tained, the following energy change accompanyingintroduction of a SWCNT in toluene is obtained:

�ET+SWCNT = ET+SWCNT − E◦T − E◦

SWCNT

= 128,805.0 − (−14,472.8)

− 145,592.7 = −2,314.9 kJ/mol

2321

Page 9: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

where E◦T and E◦

SWCNT are the molar energies of thebulk toluene and the pristine SWCNT in the vacuum,respectively. Superscript zero is used in the remainderof the paper to denote various quantities of the puresubstances in vacuum. It should be noted that the termmole used in the present paper pertains to the Avo-gadro’s number of computational cells. In order words,all species within a computational cell are treated asone (complex) molecule.

The average changes in the molar energies of the bulktoluene and the SWCNT are found as follows:

�ET = ET − E◦T = −14,078.2 − (−14,472.8)

= 394.6 kJ/mol, and

�ESWCNT = ESWCNT − E◦SWCNT

= 145,596.9 − 145,992.7 = 4.2 kJ/mol.

The interaction energy between the toluene and theSWCNT, E Int

SWCNT, is computed as:

E IntT+SWCNT = �ET+SWCNT − �ET − �ESWCNT

= −2,314.9 − 394.6 − 4.2

= −2,713.7 kJ/mol

Since the total energy change associated withthe introduction of a SWCNT into the toluene(�ET+SWCNT = −2, 314.9 kJ/mol) is negative, ourpreliminary finding is that the SWCNTs should be solu-ble in this solvent. However, to obtain a definite answerto this question, one must also consider the entropychange accompanying the introduction of a SWCNTinto the toluene. An analysis of the SWCNT solvationentropy in toluene is next section.

The results presented above show that the change inthe toluene energy due to introduction of a SWCNT,�ET = 394.6 kJ/mol, makes a significant contribu-tions to the SWCNT solvation energy. As mentionedabove, this component of the solvation energy arisesfrom the creation of a surface in the cylindrical cav-ity and due to the rearrangement of toluene molecules(primarily the ones in the first and the second solvationshells surrounding the SWCNT). To assess the relativemagnitudes of the two contributions to �ET, the sur-face energy of toluene is first computed by carrying outmolecular dynamics simulations described earlier butfor a slab (instead for a bulk) geometry of the toluenecomputational cell. The slab is obtained by removingthe periodic boundary conditions in one of the prin-cipal directions of the bulk computational cell whichresults in the formation of two parallel surfaces percomputational cell. The surface energy of toluene isnext obtained as:

E surf,flatT =

(E◦,slab

T − E◦T)

NA A

= −4335.1 × 103 + 4468.4 × 103

NA × 2 × (26.04 × 10−10)2

= 0.016 J/m2

where the energies are expressed in J/mol. NA is theAvogadro’s number and A the exposed surface area inm2. The value of the surface energy (0.016 J/m2) is notin very good agreement with its experiment counterpart,0.018 J/m2 [22].

Since the cavity that accommodates a SWCNTwithin the solvent is cylindrical, the curvature of itssurface can, in principle, have an effect on the surfaceenergy. To quantify this effect, attempts were made tocarry out geometrical optimization of the toluene struc-ture containing a cylindrical cavity. Unfortunately, theattempts were not successful since the cavity was un-stable and was quickly filled by the surrounding toluenemolecules. Consequently, a different strategy was pur-sued. The effect of the surface curvature on the surfaceenergy was assessed by comparing the surface energiesof unrelaxed (geometrically un-optimized) structuresof the slab toluene and the one containing a cylindricalcavity. The average (unrelaxed) surface energy of a flattoluene surface is calculated as:

E surf,flat,unrelT =

(E◦,slab

T , unrel − E◦T

)NA A

= 757.4 × 103 − 88.8 × 103

NA × 2 × (26.04 × 10−10)2

= 0.082 J/ m2

while the corresponding surface energy of the cylindri-cal cavity is computed as:

E surf,cyl,unrelT =

(E◦,cyl

T − E◦T

)NA A

= 4330.9 × 103 − 3612.8 × 103

NA × 2π × 9.9 × 26.04 × 10−20

= 0.074 J/m2

The two surface energy values, which differ by aboutaround 10%, suggest that the curvature most likely doesnot affect the surface energy (in the relaxed structures)very significantly.

The energy change of the toluene arising from for-mation of a cylindrical cavity which accommodates theSWCNT is next calculate by multiplying the calculatedsurface energy with the surface area of the cylindricalcavity as:

E surf,cylT = 0.016 × NA × (2π × 9.9 × 26.049

× 10−20) × 10−3 = 254.1 kJ/mol

A comparison of this value with �ET = 394.6 kJ/molsuggests that the energy change of the toluene associ-ated with formation of a cylindrical cavity represents al-most two thirds of the total energy change of the tolueneasoociated with the introduction of a SWCNT.

2322

Page 10: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

3.2.3. SWCNT solvation entropy in tolueneThe molar entropy of pure toluene can be expressed as asum of the corresponding ideal-gas molar entropy, Sig

T ,and the molar excess entropy, Sex

T , as:

ST = SigT + Sex

T (19)

where all three quantities in Equation 19 are evaluatedat a given volume, V , and temperature, T , conditionsof the system.

The ideal-gas molar entropy can be expressed as:

SigT = 5Ru

2− Ru ln

(ρT�3

T

)(20)

where Ru is the universal gas constant, ρT the numberdensity of toluene and �T the corresponding thermalde Broglie wavelength defined as:

�T =(

h2

2πmTkBT

) 12

(21)

where h is the Planck’s constant, mT is the molecularmass of toluene, and kB the Boltzmann’s constant.

The molar excess entropy can be defined as a sumof two-, three-, and higher order many-body contribu-tions. Computational studies of liquid metals [23], no-ble gases [24], hard-sphere fluids [24, 25], and Lennard-Jones fluids [25, 26] at liquid-like densities, showedthat the molar excess entropy is dominated, and hencecan be reasonably well approximated, by the two-bodyterm. This simplification is utilized in the present work.

If the toluene molecules are considered tentativelyas spherically shaped for simplicity, the toluene two-body (pair) correlation function depends only on therelative position vector, r , of the molecules. Under suchapproximation, the molar excess entropy of toluene canbe expressed as:

SexT = − Ruρ

2T

2

∫g(r ) ln(g(r )) dv

+ Ruρ2T

2

∫[g(r ) − 1] dv (22)

where g(r ) is the pair correlation function and the inte-gration is carried out over the system volume.

Under a similar assumption, the molar entropy of asolution consisting of SWCNTs suspended in toluenecan be expressed as:

ST+SWCNT

= 5Ru(1 − xSWCNT)

2− Ru(1 − xSWCNT) ln

(ρT�3

T

)+ 5RuxSWCNT

2− RuxSWCNT ln

(ρSWCNT�3

SWCNT

)− Ru(1 − xSWCNT)ρT

2

×{∫

gT,T(r ) ln[gT,T(r )] dv −∫

[gT,T(r ) − 1] dv

}

− RuxSWCNTρT

{∫gSWCNT,T(r ) ln[gSWCNT,T(r )] dv

−∫

[gSWCNT,T(r ) − 1] dv

}− RuxSWCNTρSWCNT

2

×{∫

gSWCNT,SWCNT(r ) ln[gSWCNT,SWCNT(r )] dv

×∫

[gSWCNT,SWCNT(r ) − 1] dv

}(23)

where xSWCNT is the mole fraction of SWCNTs inthe solution, and gT,T, gT,SWCNT, and gSWCNT,SWCNTare the toluene-toluene, toluene-SWCNT and SWCNT-SWCNT pair correlation functions, respectively.

The partial molar entropy of the solute, S̄SWCNT, isobtained by differentiating Equation 23 with respectto NSWCNT = NAVxSWCNT under constant T , V andNT = NAV(1 − xSWCNT) where NAV is the Avogadro’snumber. In the limit of infinite dilution, this procedureyields:

S̄SWCNT

= 3Ru

2− Ru ln

(ρSWCNT�3

SWCNT

)− RuρT

[∫gSWCNT,T ln gSWCNT,T dv

× −∫

(gSWCNT,T − 1) dv

]− Ruρ

2T

2

×∫ (

∂gT,T

∂ρSWCNT

)∞

T,V,NT

ln(gT,T) dv (24)

The first two terms in Equation 24, reflect the ideal-gas contributions, while the last two terms are associ-ated with the solute-solvent correlation function. Fol-lowing Ashbaugh and Paulaitis [27], the last term inEquation 24 can be neglected since it generally makesa small contribution to the solvation entropy.

Also, following the procedure described by Ash-baugh and Paulaitis [27], the standard solvation entropy�ST+SWCNT is related to the partial molar entropy ofsolute, S̄SWCNT, as:

�ST+SWCNT = S̄SWCNT − Ru ln(ρSWCNT�3

SWCNT

)− RuT αT − 3Ru

2(25)

where αT = 9.6 × 10−6/K is the thermal expansioncoefficient of toluene. Substitution of Equation 24 intoEquation 25 yields:

�ST+SWCNT

= −RuT αT − RuρT

⌊∫gSWCNT,T ln gSWCNT,T dv

−∫

(gSWCNT,T − 1) dv

⌋(26)

The second term in the Equation 26, is generally re-ferred to as the solute-solvent correlation entropy and

2323

Page 11: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

under the assumption of spherical shapes of the sol-vent and solute molecules, the pair correlation functiondepends only on the radial distance, r . However, in thepresent case where toluene molecules are plate-like andthe SWCNT has a cylindrical shape, the pair-correlationfunction involves additional degrees of freedom whichare required to describe solute-solvent orientations andconformations. In the present work, it is assumed thatwithin the first solvation shell of the SWCNT, thesolute-solvent pair correlation function can be factor-ized into a radial part and an orientation-dependent part.Beyond the first solvation shell, on the other hand, thepair correlation function is assumed to involve only theradial part. Thus, the toluene-SWCNT pair correlationfunction is defined as:

gT,SWCNT(r, α, β, γ )

={

gradT,SWCNT(r )gang

T,SWCNT(α, β, γ ) r ≤ rsh

gradT,SWCNT(r ) r > rsh

(27)

where α, β and γ are Euler angles (defined below), rshthe radius of the first solvation shell, while superscriptsrad and ang are used to denote the radial and the an-gular (orientation-dependent) components of the paircorrelation function. For the toluene-SWCNT pair cor-relation function given by Equation 27, the solvationentropy originally defined by Equation 26 becomes:

�ST+SWCNT

= −RuT αT − RuρT

{∫V

gradT,SWCNT(r )

× ln[grad

T,SWCNT(r )]

dv −∫

V

[grad

T,SWCNT(r ) − 1]

dv

}

− RuρT

ANorm

{Vsh

∫∫∫gang

T,SWCNT(α, β, γ )

× ln[gang

T,SWCNT(α, β, γ )]

sin β dα × dβ × dγ

}(28)

where ANorm is the normalization factor for the angularpart of the pair-correlation function (defined below) andthe Vsh term represents the integral of the radial part ofthe pair distribution function over the volume of thefirst solvation shell.

The orientation of each toluene molecule with re-spect to the nanotube axis is defined using three Eu-ler angles. Before quantifying Euler angles for eachtoluene molecule, a Cartesian coordinate system is at-tached to such a molecule as shown in Fig. 7. The x-and z-axes of the coordinate system are aligned withthe methyl-bond direction, Rm, and the benzene-planenormal, Rn, respectively. The y-axis in the same coor-dinate system is then obtained as y = Rn × Rm, where× is used to denote a cross product of two vectors. Itshould be noted that since toluene molecules are dis-torted, as shown in Section 3.2.1, a simple procedurewas developed to determine the “effective” benzene-plane normal and the “effective” methyl-bond direction

Figure 7 The SWCNT-based X -Y -Z and the toluene molecule-basedx-y-z Cartesian coordinate systems used in the present work.

for toluene molecules before the coordinate system de-scribed above can be constructed. Next, a Cartesiancoordinate system associated with the SWCNT is nextconstructed in the following way: the X -axis is alignedwith the SWCNT axis, while the Z -axis is aligned witha radial direction originating from the SWCNT axis andpassing through the center of the benzene plane of thetoluene molecule in question. The Y -axis is then de-fined as Y = Z × X . Once the two coordinate systemsare established, the three Euler angles are defined asfollowing: α is defined as the angle between z × Z andy, β as the angle between z and Z and γ as the anglebetween z × Z and Y . The ranges of the three Eulerangles are 0 ≤ α < 2π , 0 ≤ β ≤ π and 0 ≤ γ < 2π .Since a differential element of the solid angle is de-fined as: d = sin β · dα · dβ · dγ , and the integrationof d between the limits of α, β and γ stated aboveyields ANorm = 8π2, ANorm is the appropriate normal-ization factor in the angular part of the pair-correlationfunction.

The solvation entropy for SWCNTs in toluene is thencalculated using Equation 28 and the atomistic simu-lation results for the last 5 ps of the simulation time.Integrals appearing in Equation 28 are evaluated nu-merically using the trapezoid rule. Due to the cylin-drical geometry of the SWCNT, the volume elementappear in Equation 28 is defined as dv = 2πazrdr ,where az is the computational-cell lattice parameterin z-direction. The radial and the angular componentsof the toluene-SWCNT pair-correlation function areevaluated numerically by constructing the correspond-ing frequency functions. The results of this procedureyielded the solvation entropy for SWCNT in tolueneof �ST+SWCNT = −8.6 kJ/mol/K. Using this value ofsolvation entropy, the solvation Gibbs free energy isevaluated as:

�GT+SWCNT = �ET+SWCNT − T �ST+SWCNT

= −2042.0 − 298.0 × (−8.6)

= 495 kJ/mol

where one mole is defined as the Avogadro’s numberof computational cells. Since this value of the solva-tion Gibbs free energy is small (one computational cellcontains 330 toluene molecules) but positive, one would

2324

Page 12: JOURNAL OF MATERIALS SCIENCE39 Atomistic simulations …JOURNAL OF MATERIALS SCIENCE39(2004)2315– 2325 Atomistic simulations of the solubilization of single-walled carbon nanotubes

expect that SWCNTs could be relatively easily suspendin toluene but the resulting suspension would not bestable and, given enough time, SWCNTs would dropout of solution. This prediction is fully consistent withthe experimental observation made by in het Panhuiset al. [28] during their attempts to solubilize SWCNTsin toluene.

4. ConclusionsBased on the results obtained in the present work, thefollowing main conclusions can be drawn:

1. Introduction of the SWCNTs into toluene is as-sociated with a relatively small but negative solvationenergy. The largest contribution to be solvation energyarises from the SWCNT-toluene interactions.

2. Interactions between SWCNTs and toluenemolecules result in major reorganization of the toluenemolecules and the associated conformation gives riseto a substantial decrease in the configurational entropyof the toluene.

3. The solvation Gibbs free energy of SWCNTs intoluene at room temperature is relatively small butpositive suggesting that suspension of SWCNTs intoluene is not stable. This prediction is consistent withexperimental observations.

AcknowledgementsThe material presented in this paper is based on worksupported by the U.S. Army Grant Number DAAD19-01-1-0661. The authors are indebted to Drs. BonnieGersten, Fred Stanton and William DeRosset of ARLfor the support and a continuing interest in the presentwork.

References1. S . I I J I M A , Nature 354 (1991) 56.2. M. G R U J I C I C , G . C A O and B. G E R S T E N , Appl. Surf. Sci.

206 (2003) 167.3. S . J . T A N S, R . M. V E R S C H U E R E N and C. D E K K E R ,

Nature 393 (1999) 40.4. A . C . D I L L O N, K. M. J O N E S, T . A . B E K K E D A H L,

C . H. K I A N G, D. S . B E T H U N E and M. J . H E B E N , ibid.386 (1997) 377.

5. M. M. J . T R E A C Y, T . W. E B B E S E N and J . M. G I B S O N ,ibid. 381 (1996) 678.

6. P . G . C O L L I N S , K. B R A D L E Y, M. I S H I G S M I and A.Z E T T L , Science 287 (2000) 1801.

7. J . N . C O L E M A N, A. B . D A L T O N, S . C U R R A N, A.R U B I O, A. P . D A V E Y, A. D R U R Y, B. M cC A R T H Y, B.

L A H R, P . M. A J A Y A N, S . R O T H, R . C . B A R K L I E andW. J . B L A U , Adv. Mater. 12 (2000) 213.

8. M. I N H E T P A N H U I S , A . M A I T I , A . B . D A L T O N,A. V. D. N O O R T, J . N . C O L E M A N, B. M cC A R T H Y

and W. J . B L A U , J. Phys. Chem. B 107 (2003) 478.9. B . M cC A R T H Y, J . N . C O L E M A N, R. C Z E R W, A. B .

D A L T O N, M. I N H E T P A N H U I S , A . M A I T I , A .D R U R Y, H. J . B Y R N E, D. L . C A R R O L L and W. J .B L A U , ibid. 106 (2002) 2210.

10. A . D R U R Y, S . M A I E R, A. P . D A V E Y, A. B . D A L T O N,J . N . C O L E M A N, H. J . B Y R N E and W. J . B L A U , J. Synth.Met. 119 (2001) 151.

11. S . C U R R A N, P . A J A Y A N, W. B L A U, D. C A R R O L L,J . C O L E M A N, A. D A L T O N, A. P . D A V E Y, B .M cC A R T H Y and A. S T R E V E N S , Adv. Mater. 10 (1998) 1091.

12. S . C U R R A N, A. P . D A V E Y, J . C O L E M A N, A.D A L T O N, B. M cC A R T H Y, S . M A I E R, D. G R A Y, M.B R E N N A N, K. R Y D E R, M. L . D E L A C H A P E L L E, C .J O U R N E T, P . B E R N I E R, H. J . B Y R N E, D. C A R R O L L,P . M. A J A Y A N, S . L E F R A N T and W. J . B L A U , SyntheticMet. 103 (1999) 2559.

13. J . C O L E M A N, A. D A L T O N, S . C U R R A N, A. R U B I O,A. D A V E Y, A. D R U R Y, B. M cC A R T H Y, B. L A H R, P .A J A Y A N, S . R O T H, R . B A R K L I E and W. B L A U , Adv.Mater. 12 (2000) 213.

14. A . B . D A L T O N, C. S T E P H A N, J . N . C O L E M A N,B. M cC A R T H Y, P . M. A J A Y A N, S . L E F R A N T, P .B E R N I E R, W. J . B L A U and H. J . B Y R N E , J. Phys. Chem.B. 104(43) (2000) 10012.

15. A . B . D A L T O N, W. J . B L A U, G. C H A M B E R S, J .N . C O L E M A N, K. H E N D E R S O N, S . L E F R A N T, B .M cC A R T H Y, C. S T E P H A N and H. J . B Y R N E , Synth. Met.121(1–3) (2001) 1217.

16. B . M cC A R T H Y, J . N . C O L E M A N, S . A . C U R R A N, A.B . D A L T O N, A. P . D A V E Y, Z . K O N Y A, A. F O N S E C A,J . B . N A G Y and W. J . B L A U , J. Mater. Sci. Letts. 19(24) (2000)2239.

17. H . S U N , J. Phys. Chem. B. 102 (1998) 7338.18. H . S U N; P . R E N and J . R . F R I E D , Comput. Theor. Polym.

Sci. 8(1/2) (1998) 229.19. D . R I G B Y, H. S U N and B. E . E I C H I N G E R , Polym. Int. 44

(1998) 311.20. http://www.accelrys.com/mstudio/ms modeling/discover.html21. J . H . K I M and S . H . L E E , Bull. Korean Chem. Soc. 23 (2002)

441.22. http://www.vp-scientific.com/hydrophobic coating.htm23. D . W A L L A C E , J. Chem. Phys. 87 (1987) 2282.24. R . M O U N T A I N and H. R A V E C H E , ibid. 53 (1971) 2250.25. B . L A I R D and A. H A Y M E T , Phys. Rev. A 45 (1992) 5680.26. K . I . B O R Z S A and A. B A R A N Y A I , Chem. Phys. 165 (1992)

227.27. H . S . A S H B A U G H and M. E . P A U L A I T I S , J. Phys. Chem.

100 (1996) 1900.28. M. I N H E T P A N H U I S , A . M A I T I , A . B . D A L T O N,

A. V. D. N O O R T, J . N . C O L E M A N, B. M cC A R T H Y

and W. J . B L A U , J. Phys. Chem. B 107 (2003) 478.

Received 21 Julyand accepted 6 October 2003

2325