The Ins and Outs of Capillary Condensation in Cylindrical Pores Lev D. Gelb Florida State University, Department of Chemistry, Tallahassee, FL 32306-4390 USA January 6, 2002 1 Abstract We have performed a series of simulations of adsorption and desorption of a simple model of xenon in cylindrical pores of a silica-like material. Closed-ended, open-ended, and single-ended pores of either 3 nm or 4 nm diameter are considered, and the pore length is varied between 8 nm and 108 nm. This study exposes some of the possible mechanisms of pore filling and emptying, and demonstrates that hysteresis can be almost entirely suppressed in certain pore geometries. The effects of pore length are considered, and the thermodynamics of one-dimensional systems and the nature of “capillary critical points” are discussed. 2 1 Introduction The adsorption and desorption of gases in cylindrical pores has been extensively studied using computer simulations [1–10], theoretical treatments such as classical fluid density functional theory [2, 4, 11–18] and other methods [19, 20], and experimentally, using materials such as MCM-41 [16, 21–28] and carbon nanotubes [29]. This literature is also reviewed in [30]. In the present work we attempt to address some of the aspects of these systems that have not been considered in great depth. Specifically, we simulate capillary phenomena in openended and single-ended pores, and consider the effects of the length of the simulation cell in periodically-bound systems. Very long pores have not been widely studied largely due to prior lack of computational power. Also, few studies of closed-ended and open-ended pores have been made, partly because little information is available on the structure of pore mouths and ends, and partly because comparisons between simulation results and mean-field theories have been quite fruitful in other work (cited above), but computational treatment of open-ended pores with density functional theories would be non-trivial [31]. Much of the literature on this subject has focused on identification and characterization of capillary critical points, which are postulated in analogy with higher-dimensional systems, and hysteresis critical points, the temperatures at which adsorption/desorption hysteresis disappears. As is well known from classical statistical mechanics, a one-dimensional system 1 cannot exhibit a first-order phase transition or associated critical point. The fact that cylindrical mesopores are not strictly one-dimensional but three-dimensional is irrelevant, as the classical proof applies as long as the system is infinite in only one dimension. [The possibility of substantial interactions between fluid particles in different pores increases the effective dimensionality of the system, but this is rarely considered in theory or simulation [32], and the inter-pore interactions in real materials are difficult to characterize.] The argument [33], cast in the thermodynamics of capillary phenomena, is as follows. The 1 More strictly, a one-dimensional system that possesses only short-ranged interactions. 3 pore fluid, locally, exhibits two stable “phases”, corresponding to multilayer adsorption (low density) and a filled pore (high density). At the chemical potential corresponding to the coexistence of these “phases”, these have the same grand free energy per unit length; Ω h = Ωl . For a two-domain system with a single interface, the free energy of the system becomes Ω = Lh Ωh + Ll Ωl + γ, where Lh and Ll are the lengths of the two phases, and γ is the free energy of the interface between the two phases, which is an approximately hemispherical meniscus. This clearly reduces to Ω = LΩ + γ at coexistence, where L is the total pore length. This expression is independent of the location of the interface, so we must then add a third term corresponding to the entropy associated with movement of the interface, S = kB ln(L/D), so Ω = LΩ − kB T ln(L/D) + γ; the pore diameter D is taken as the natural unit of length in this expression, making the argument of the logarithm dimensionless. If n interfaces are introduced, then the total free energy of the system is increased by a factor nγ, and the entropy associated with these interfaces is S = kB ln(Ln /D n n!), recognizing that the interfaces are indistinguishable. Applying Stirling’s approximation for the factorial, we obtain Ω(n) = LΩ + n[γ − kB T ln(eL/Dn)]. For sufficiently large L/Dn the term in brackets will be negative, and the most stable state of the system will involve an equilibrium concentration of interfaces; at fixed L/D, the minimum free energy satisfies dΩ(n)/dn = 0, and occurs at Dn/L = e−γ/kB T . As mentioned above, the interface between the two phases is observed to be approximately hemispherical. For a 5 nm pore, with a 0.5 nm thick adsorbed layer in the low-density phase, the area of this interface is approximately 25 nm2 . For nitrogen adsorption at 77 K, the surface tension is, approximately, 0.009 J/m2 [34], leading to a (dimensionless) interface concentration of approximately 10−92 . This is an extremely low concentration, and for pores of experimentally reasonable length (say, one micron or less) totally negligible. As the temperature is raised, the adsorbed-layer thickness in the low-density phase increases, reducing the surface area of the meniscus, and the surface tension of the fluid is reduced. The 4 concentration of interfaces therefore increases exponentially with increasing temperature. We note that the case of binary liquid phase separation in cylindrical pores is formally equivalent to the liquid-vapor problem, in that the same statistical mechanics can be applied and both systems can be mapped onto a simple Ising model [35]. In previous work on liquid-liquid phase separation in cylindrical pores, we have demonstrated that the mean distance between interfaces eventually becomes comparable with the pore diameter, and that the “critical” state of the fluid mixture consists of a domain structure characterized by strictly microscopic length scales, rather than anything resembling a bulk or 2D critical point [36–38]. The effect, then, of inhomogeneity along the pore axis is negligible under most conditions. In systems where there is no hysteresis, it will lead to a small rounding-off of the otherwise sharp phase transition, similar to the effects of the use of periodic boundary conditions in the simulation of bulk phase equilibria [39]. It is therefore reasonable to speak of the phase transition in nano-scale capillaries as effectively first order, and apply standard thermodynamics to it. Furthermore, the scaling relations and thermodynamic expressions used to characterize phase transitions [27, 28] will be applicable to these systems as long as they are not used at temperatures very close to the “critical point”. However, inhomogeneity along the pore axis does preclude the existence of a true critical point (in the statistical mechanical sense [40, 41]) or any of the interesting properties normally associated with critical points, including long wavelength fluctuations, divergences in susceptibilities, etc. Much of the discussion of capillary critical points as “critical points”, therefore, is somewhat misleading. Thus, for studies of capillary phenomena at low temperatures, the use of short, periodic, simulation cells is thermodynamically acceptable because the length-scales necessary to see inhomogeneity along the pore axis are macroscopic. The usual application of classical fluid density functional theory to the system, which assumes translational invariance along the pore axis, is also justified. [We note that such mean field theories incorrectly predict phase transitions for one-dimensional systems [42] precisely because of this translational invariance.] 5 Likewise, at very high temperatures only a single “phase” exists at a given pressure, and short simulation cells are also acceptable. In the region of the putative “capillary critical point”, however, the pore length could have a substantial effect, interfering with the formation and motion of domain boundaries, and artificially stabilizing single-phase states. Hysteresis is present in experiments, molecular simulations, and mean-field treatments. Generally, desorption hysteresis in simulations and numerical treatments is more pronounced than in experiments. In Monte Carlo simulations, this is often blamed on the relatively short effective time-scale that can be accessed. For comparison between open-ended experimental pore systems and periodic-cell molecular simulations, it is also often argued that the presence of the pore mouth provides an easy nucleation of the low-density phase, and that the experimental desorption curve corresponds to the simulated thermodynamic coexistence point, and that experimental hysteresis occurs mainly on the adsorption branch. Likewise, it is sensible to expect larger density fluctuations in simulations of long pores than in short ones, and thus differences in nucleation limits and hysteresis loops. In pores closed at one end , the closed end could serve as an already nucleated dense phase, and so there might be no adsorption hysteresis either! This situation is considered in the simulations presented below. A unified, unambiguous picture of what really happens in these systems can be obtained using simulations which dispense with the periodic-cell approximation. Direct treatment of open-ended, infinitely periodic, or single-ended pores in excess of 100 nm length is possible with modern equipment, and may serve to resolve many of the remaining questions in this area. 2 Glass models and potentials A simplified model for xenon adsorption on silica was used throughout this study. The pore material was modeled by an amorphous configuration of particles representing the oxygen 6 atoms in silica. Silicon atoms are omitted, as they are not found on the surface and, being not very polarizable, exhibit only weak dispersion interactions. An amorphous configuration was generated by simulating a Lennard-Jones liquid at the density corresponding to that of oxygen atoms in silica glass, and then filling the few holes in this configuration with additional Lennard-Jones particles. To prepare pore models, cylindrical holes were then “drilled” out of these configurations; no surface relaxation was applied, and pore-wall atoms were kept frozen throughout the adsorption simulations. We have used such methods in previous studies [43] to prepare idealized pore models which have pore-wall properties similar to those of our models of Vycor and controlled-pore glass [43–45]; such models have also been used by others [9]. The potential parameters used for xenon were σ = 0.391 nm, = 227 kB , and for the pore particles, σ = 0.27 nm, and = 230 kB , as in earlier work [46, 47]. The potential interactions between fluid particles were truncated (but not shifted) at 2.5σXe , and potential interactions between fluid and wall particles were cut-and-shifted at the same distance. A short-ranged potential is desirable for computational efficiency, and the shifting of the fluidsolid potential prevents artifacts in the shape of the multilayer adsorption isotherm. The pore models used in this study, therefore, have surfaces which are rough on an atomic scale, though quite smooth on larger scales. The use of atomically rough surfaces instead of the smooth cylindrical potentials widely applied in such simulations [2,37] increases somewhat the cost of the computation, but removes the perfect translational symmetry of the smooth-walled models. This symmetry is not present in real materials, and is thought to lead to unphysical stabilization of layered structures at low temperatures [30]. Atomistic models of the pore material also allow for straightforward treatment of open-ended pores, constrictions, “dead-end” pores, and any variations on these geometries, without losing a reasonable description of the surface. Three lengths of pore have been used: 8 nm, 16 nm and 108 nm. The first two are comparable with most work in this area; we are only aware of a few quench Molecular 7 Dynamics simulations in very large-scale models [4, 36, 38]. These cylindrical pores were made by removing all the particles within a cylinder from simulation cells of the appropriate length and 5.4 nm (20σO ) square cross-section. For open-ended pores, the periodic simulation cell length was then increased without moving any pore particles, introducing a 10 nm void space with two planar surfaces. To generate single-ended pores, the cylinder was simply made slightly shorter than the cell length. In all the results that follow, data are given in Lennard-Jones reduced units [48], reduced by the xenon parameters given above. For the potential cutoff used, the critical temperature of this fluid is known to be Tc = 1.1876 [41]. 3 Simulation protocols “Normal” Grand Canonical Monte Carlo simulations have been used in this work, rather than expanded-ensemble [49] methods or histogram-reweighting [41, 50]. The standard GCMC method has recently been argued [51, 52] to provide a qualitatively reasonable picture of the process of adsorption and desorption, as well as sampling the appropriate statisticalmechanical ensemble once equilibrium is reached. The basis of this argument is that one observes most of the successful particle insertions and deletions at the liquid-vapor interface, just as condensation and evaporation in an experimental system proceeds from the interface. GCMC does not accurately account for the transport of fluid or vapor to and from the interface, of course. However, as shown below, visualizations of the system moving towards equilibrium in GCMC calculations can provide a microscopic, qualitative view of the pore filling and emptying processes. In what follows, the traditional recipe of equal numbers of insertion, deletion, and displacement moves has been used, with the maximum displacement size adjusted during the run to give a 50% acceptance ratio. In the isotherms presented here, each point was run for at least 30 million moves; points that were not equilibrated in this time, or exhibited large fluctuations, were run for (much) longer. 8 4 Simulation results 4.1 Pore filling and emptying mechanisms Early in this work it was noted that in the long-pore systems, equilibration at the top of the capillary rise and the bottom of the desorption drop was very slow; as many as thirty times as many moves as usual were required at some points. The configurations output during these equilibrations nicely illustrate the mechanism by which fluid addition and removal occurs in these simulations. In Figure 1 are shown several snapshots from the pore emptying process observed in a 4 nm diameter, 108 nm long, open-ended pore. Only the last 30 nm of the system is shown. As the simulation moves towards equilibrium at constant chemical potential, the liquid-vapor meniscus moves into the pore mouth at a constant “velocity”. The simulation never nucleates a “bubble” further inside the pore. In closed-ended long pores, desorption occurs through the nucleation and growth of bubbles of vapor within the pore; once bubbles are present, interfacial motions at constant velocity are observed in these systems as well. One expects, then, that the chemical potential at which desorption occurs in the open-ended pore is mediated by the structure of the pore mouth and its interaction with the liquid-vapor meniscus. In Figure 2 the opposite situation is presented, being the filling-up of a “single-ended” pore, with one closed end and one open mouth. The high-density phase nucleates at the pore end, and moves, again at constant velocity, towards the pore mouth. The open pore mouth does not appear to play any role in the early stages of this process. The last configuration shown in Figure 2 is typical of the equilibrium state at this chemical potential, with a roughly hemispherical meniscus clearly visible at the pore mouth. In the periodic and open-ended pores we have simulated, which have no “end” at which to start this process, the capillary rise occurs only at higher chemical potential, through the spontaneous formation of multiple “droplets” of the dense phase. 9 In Figure 3 are shown the adsorption and desorption isotherms measured in the singleended pore model, along with isotherms measured in a 4 nm infinite (periodic) pore of similar cell size. It is apparent that the presence of both a pore opening and a pore end greatly reduces the size of the hysteresis loop and the temperature at which hysteresis disappears. This seems to occur because both high and low density phases are easily nucleated in this system, which is not the case in the periodic pore. We have observed in the equilibration of this system that at points on or near the capillary transition, large, long-lived fluctuations in density occur, indicating that the system is near to a coexistence point and can explore a large range of density. These fluctuations should not be compared with those of a bulk or 2D critical state; rather, this is an unusual system in which kinetic barriers to density fluctuations have been removed and large fluctuations occur frequently. A series of snapshots taken at one pressure in this system is shown in Figure 4. The most striking feature of Figure 3 is that the non-hysteretic capillary rise in the single-ended pores occurs at a chemical potential roughly in the center of the hysteresis loop of the periodic system, indicating that the periodic system exhibits roughly equal amounts of adsorption and desorption hysteresis. The small hysteresis loop observed in the singleended pore at the lowest temperature does appear to be stable, exhibiting the large density fluctuations discussed in the preceding paragraph. In this case, weak repulsive interactions between the liquid-vapor meniscus and the ends of the pore may be responsible for the stability of points halfway down the desorption drop or halfway up the capillary rise. By moving near to either the closed end of the pore or its open mouth, the structure of the interface is disturbed and the free energy of the system would rise, leading to a preference for the center of the pore, as in Figure 4(a) and (e). 10 4.2 Open vs. infinite pores Open-ended and infinite (periodic) pores were compared using model pores of 108 nm length, which is comparable with the lengths one might expect to see in a typical experimental system. Figure 5 and Figure 6 show the results for 3 nm diameter pores and 4 nm diameter pores, respectively. In both models, the presence of the pore ends somewhat reduces the width of the hysteresis loop, from the desorption side. In the 3 nm pores, hysteresis disappears below T∗ =0.890 in the open-ended pore, and between T∗ =0.890 and T∗ =0.927 in the periodic pore. In the 4 nm diameter pores, hysteresis probably disappears in both systems between T∗ =0.974 and T∗ =1.025, and isotherms will have to be obtained at more temperatures to determine in which system it disappears first. At higher temperatures there does not seem to be a substantial effect due to the opening of the pore ends. The effects of open pore mouths are more dramatic in the 4 nm pore than in the 3 nm pore, which is consistent with the picture of fluctuation-induced nucleation of the favored phase. In 4 nm pores such fluctuations would have to be much larger than in 3 nm pores, and thus the presence of the open pore mouth is more important in the 4 nm system. The very small effect of the open pore mouth on hysteresis in the 3 nm system is difficult to reconcile with fluctuation-induced nucleation. If the pore mouth does not contribute substantially to reducing hysteresis on the desorption branch, we hypothesize that the periodic 3 nm system doesn’t exhibit desorption hysteresis, and that the hysteresis observed at T∗ =0.801 is entirely adsorption hysteresis. In several systems the capillary rise actually occurs at slightly higher chemical potential in the open-ended system then the infinite pore. This may occur because the pore mouths, with their reduced adsorbed layer thickness (this is evident in the simulation snapshots), serve to slightly stabilize the low-density phase at the ends of the pore. 11 4.3 Pore length effects (periodic systems) There are two reasons why one might expect to see different behavior in long periodic pores and short periodic pores. The first is the domain-structure argument given above, which states that in long systems it becomes entropically favorable to see heterogeneous states, which has the effect of smoothing out the capillary transition. Secondly, in systems which exhibit substantial hysteresis, the width of the hysteresis loop can change. In longer pores, larger fluctuations in the structure of either phase are possible, which should make nucleation of the other phase more likely, shrinking the hysteresis loop. One might thus expect hysteresis to disappear at a lower temperature in long pores than in short pores. Figure 7 shows the adsorption and desorption isotherms measured in 4 nm diameter infinitely-periodic pores of lengths 8 nm, 16 nm, and 108 nm, at several temperatures. At the lowest temperature, T∗ =0.801, the 108 nm and 16 nm systems exhibit slightly narrower hysteresis loops than the 8 nm pore. At the next higher temperature, T∗ =0.890, a similar but more dramatic effect is observed, with the hysteresis loop in the shortest pore clearly bracketing those of the two longer systems. At the third temperature, T∗ =0.927, the hysteresis loop in all three systems is quite narrow, and a clear trend is difficult to observe, though the shortest pore still has a slightly broader loop. At the fourth temperature, T∗ =0.974, no hysteresis is present in the two longer systems, with a very narrow loop observed in the 8 nm pore. At the highest temperature, T∗ =1.025, all three systems are reversible, and superimpose to within the resolution of these simulations. The influence of pore length on the width of the hysteresis loop appears more pronounced at T∗ =0.890 than at either T∗ =0.801 or T∗ =0.927, which is interesting but probably not significant, as this appearance is caused by only two data points in the desorption isotherm in the 8 nm system, and may thus be a poor-sampling artifact due to finite run-time. These results are reasonable within the thermodynamic framework presented above. However, we have not observed multi-domain states in any of the simulations performed 12 here. Only within the very longest pore, at temperatures above the disappearance of hysteresis, would there be any possibility of observing heterogeneous multi-domain states at equilibrium, and doing so would require fixing the chemical potential precisely at its coexistence value, since small shifts in chemical potential away from coexistence would favor the presence of one phase over the other, breaking the translational invariance associated with the domain boundaries. We also note that the time-scale involved in seeing these fluctuations is likely to be inaccessible even if the chemical potential could be specified to sufficient precision; as demonstrated above in the discussion of pore filling and emptying mechanisms, even fast motions of the liquid-vapor meniscus along the pore axis occurs on a scale of many hundreds of millions of Monte Carlo moves. As to the width of the hysteresis loop, the dependence of the loop size on pore length is consistent with the hypothesis that fluctuations in density along the pore axis lead to nucleation of each phase. Longer pores would permit larger fluctuations, and would thus exhibit narrower hysteresis loops. Furthermore, the near-agreement of the 16 nm and 108 nm pores indicates that pore lengths much longer than the pore diameter do not contribute further to such fluctuations, which is reasonable. 5 Discussion We have simulated a number of systems which are particularly relevant for developing a better understanding of capillary phenomena in cylindrical pores. While the statistical mechanical argument for the absence of real critical behavior in such systems is certainly applicable in these systems, we believe that it is only important under very precise and particular conditions. Nonetheless, the constant references in the literature to capillary critical points in these systems are misleading, in that the states being described bear little resemblance to bulk, 2D, or other critical phenomena. Pore length effects on hysteresis loops are found to be small, though definitely present. The effects of open pore mouths on adsorption in very 13 long pores are found to be quite small in 3 nm pore systems, but substantial in 4 nm pores, suggesting that 3 nm pore systems naturally exhibit much less desorption hysteresis than do 4 nm pores. Lastly, the mechanisms of pore filling and emptying have been visualized, agree well with expectations, and suggest a number of related studies, as discussed below. Multi-domain states were not observed in the long pores used in these studies. Further investigation of the presence or absence of axial heterogeneity in long pores will require a number of developments. The first is the precise location of the coexistence chemical potential, which can be accomplished with standard thermodynamic integration methods [2]. A study of the effects of the pore length on the probability histogram of the system density, as conducted in our previous work on liquid-liquid transitions [36–38], will also be useful, and can be accomplished using umbrella-sampling methods or histogram-reweighting. Lastly, in order to directly observe the domain structure in such systems, longer time-scales must be accessed, which could be accomplished through the development of a Monte Carlo scheme which preferentially samples particles near to the hemispherical menisci in such systems. The short, single-ended pores considered here suggest a possible route for further research in both simulations and experiments. These systems exhibit two unusual properties: a neartotal lack of hysteresis, and large density fluctuations at pressures near to condensation. Should an experimental realization of such a material be accomplished, it could provide a direct experimental confirmation of the hypothesis that the capillary rise is nucleated by the pore end. Observation of large-scale density fluctuations would be difficult since the densities in different pores would be uncoupled, but the presence of weak pore-pore correlations [32] in an array of such pores could give rise to a novel type of phase transition in two dimensions. The preparation of an array of short pores might be accomplished either through templating using thin films of the MCM-41 mesophase system, somehow oriented perpendicular to a silica surface, or by nanofabrication techniques. Lastly, a more thorough investigation of the effects of the shapes of both pore mouths 14 and pore ends is clearly required in order to catalog the possible behavior observed in these systems, and to place the observations made here in their proper context. Little is known about the structure of pore mouths and pore ends in real mesoporous materials, though this information might be obtained via AFM or similar methods. 6 Acknowledgments Thanks are due to the Editors of this special issue, for inviting the submission of this paper, and, of course, to Keith Gubbins, for many useful discussions, guidance and advice, and for introducing me to this subject. References [1] R. F. Cracknell, K. E. Gubbins, M. Maddox, and D. Nicholson. Modeling fluid behavior in well-characterized porous materials. Acct. Chem. Res., 28:281–288, 1995. [2] B. K. Peterson and K. E. Gubbins. Phase transitions in a cylindrical pore: Grand Canonical Monte Carlo, mean field theory and the Kelvin equation. Mol. Phys., 62(1):215–226, 1987. [3] G. S. Heffelfinger, F. van Swol, and K. E. Gubbins. Liquid-vapour coexistence in a cylindrical pore. Mol. Phys., 61(6):1381–1390, 1987. [4] G. S. Heffelfinger, Z. Tan, K. E. Gubbins, U. Marini Bettolo Marconi, and F. van Swol. Fluid mixtures in narrow cylindrical pores: Computer simulation and theory. Int. J. Thermophys., 9(6):1051–1060, 1988. [5] K. G. Ayappa. Simulations of binary mixture adsorption in carbon nanotubes: Transitions in adsorbed fluid composition. Langmuir, 14:880–890, 1998. 15 [6] S. Inoue, Y. Hanzawa, and K. Kaneko. Prediction of hysteresis disappearance in the adsorption isotherm of N2 on regular mesoporous silica. Langmuir, 14:3079–3081, 1998. [7] M. W. Maddox and K. E. Gubbins. Molecular simulation of fluid adsorption in buckytubes. Langmuir, 11:3988–3996, 1995. [8] M. Miyahara, H. Kanda, T. Yoshioka, and M. Okazaki. Modeling capillary condensation in cylindrical nanopores: A molecular dynamics study. Langmuir, 16:4293–4299, 2000. [9] W. A. Steele and M. J. Bojan. Simulation studies of sorption in model cylindrical micropores. Adv. Coll. Int. Sci., 76-77:153–178, 1998. [10] M. W. Maddox, J. P. Olivier, and K. E. Gubbins. Characterization of MCM-41 using molecular simulation: Heterogeneity effects. Langmuir, 13(6):1737–1745, 1997. [11] B. K. Peterson, J. P. R. B. Walton, and K. E. Gubbins. Fluid behaviour in narrow pores. J. Chem. Soc. Faraday Trans. 2, 82:1789–1800, 1986. [12] Z. Tan, F. van Swol, and K. E. Gubbins. Lennard-Jones mixtures in cylindrical pores. Mol. Phys., 62(5):1213–1224, 1987. [13] P. C. Ball and R. Evans. Structure and adsorption at gas-solid interface: Layering transitions from a continuum theory. J. Chem. Phys., 89(7):4412, 1988. [14] P. I. Ravikovitch, G. L. Haller, and A. V. Neimark. Density functional theory model for calculating pore size distributions: pore structure of nanoporous catalysis. Adv. Coll. Int. Sci., 76–77:203–226, 1998. [15] A. V. Neimark and P. I. Ravikovitch. Calibration of pore volume in adsorption experiments and theoretical models. Langmuir, 13(19):5148–5160, 1997. 16 [16] P. I. Ravikovitch, S. C. O’Domhnaill, A. V. Neimark, F. Scuth, and K. K. Unger. Capillary hysteresis in nanopores: Theoretical and experimental studies of nitrogen adsorption on MCM-41. Langmuir, 11(12):4765–4772, 1995. [17] A. V. Neimark, P. I. Ravikovitch, and A. Vishnyakov. Adsorption hysteresis in nanopores. Phys. Rev. E, 62(2):R1493–R1496, 2000. [18] P. I. Ravikovitch, A. Vishnyakov, and A. V. Neimark. Density functional theories and molecular simulations of adsorption and phase transitions in nanopores. Phys. Rev. E, 64:011602, 2001. [19] M. W. Cole and W. F. Saam. Excitation spectrum and thermodynamic properties of liquid films in cylindrical pores. Phys. Rev. Lett., 32(18):985–988, 1974. [20] A. J. Liu, D. J. Durian, E. Herbolzheimer, and S. A. Safran. Wetting transitions in a cylindrical pore. Phys. Rev. Lett., 65(15):1897–1900, 1990. [21] J. S. Beck, J. C. Vartuli, W. J. Roth, M. E. Leonowicz, C. T. Kresge, K. D. Schmitt, C. T. W. Chu, D. H. Olson, E. W. Sheppard, S. B. McCullen, J. B. Higgens, and J. L. Schlenker. A new family of mesoporous molecular-sieves prepared with liquid-crystal templates. J. Am. Chem. Soc., 114(27):10834–10843, 1992. [22] S. K. Bhatia and C. G. Sonwane. Capillary coexistence and criticality in mesopores: Modification of the Kelvin theory. Langmuir, 14:1521–1524, 1998. [23] C. G. Sonwane and S. K. Bhatia. Structural characterization of MCM-41 over a wide range of length scales. Langmuir, 15:2809–2816, 1999. [24] C. G. Sonwane and S. K. Bhatia. Analysis of criticality and isotherm reversibility in regular mesoporous materials. Langmuir, 15:5347–5354, 1999. 17 [25] M. Kruk, M. Jaroniec, and A. Sayari. Application of large pore MCM-41 molecular sieves to improve pore size analysis using nitrogen adsorption measurements. Langmuir, 13:6267–6273, 1997. [26] M. Kruk, M. Jaroniec, J. M. Kim, and R. Ryoo. Characterization of highly ordered MCM-41 silicas using x-ray diffraction and nitrogen adsorption. Langmuir, 15:5279– 5284, 1999. [27] K. Morishige, H. Fujii, M. Uga, and D. Kinukawa. Capillary critical point of argon, nitrogen, oxygen, ethylene, and carbon dioxide in MCM-41. Langmuir, 13:3494–3498, 1997. [28] K. Morishige and M. Shikimi. Adsorption hysteresis and pore critical temperature in a single cylindrical pore. J. Chem. Phys., 108(18):7821–7824, 1998. [29] S. Inoue, N. Ichikuni, T. Suzuki, T. Uematsu, and K. Kaneko. Capillary condensation of N2 on multiwall carbon nanotubes. J. Phys. Chem. B, 102(24):4689–4692, 1998. [30] L. D. Gelb, K. E. Gubbins, R. Radhakrishnan, and M. Sliwinska-Bartkowiak. Phase separation in confined systems. Rep. Prog. Phys, 62(12):1573–1659, 1999. [31] H. Löwen, R. Ohnesorge, and H. Wagner. Surface melting: A density functional approach. Ber. Bunsenges. Phys. Chem., 98(3):303–307, 1994. [32] R. Radhakrishnan and K. E. Gubbins. Quasi-one-dimensional phase transitions in nanopores: Pore-pore correlation effects. Phys. Rev. Lett., 79(15):2847–2850, 1997. [33] L. D. Landau and E. M. Lifshitz. Statistical Physics, volume 1. Pergamon Press, Oxford, 3rd edition, 1959. Translated by J. B. Sykes and M. J. Kearsley. [34] R. C. Weast and M. J. Astle. Handbook of Chemistry and Physics. CRC Press, Cleveland, 62nd edition, 1981. 18 [35] A. J. Liu and G. S. Grest. Wetting in a confined geometry: A Monte Carlo study. Phys. Rev. A, 44(12):R7894–R7897, 1991. [36] L. D. Gelb and K. E. Gubbins. Kinetics of liquid-liquid phase separation of a binary mixture in cylindrical pores. Phys. Rev. E, 55(2):1290R, 1997. [37] L. D. Gelb and K. E. Gubbins. Studies of binary liquid mixtures in cylindrical pores: Phase separation, wetting and finite-size effects from Monte Carlo simulations. Physica A, 244:112–123, 1997. [38] L. D. Gelb and K. E. Gubbins. Liquid-liquid phase separation in cylindrical pores: Quench Molecular Dynamics and Monte Carlo simulations. Phys. Rev. E, 56(3):3185– 3196, 1997. [39] K. K. Mon and K. Binder. Finite size effects for the simulation of phase coexistence in the Gibbs ensemble near the critical point. J. Chem. Phys., 96(9):6989–6995, 1992. [40] M. N. Barber. Finite-size scaling. In C. Domb and J. L. Lebowitz, editors, Phase Transitions and Critical Phenomena, volume 8, chapter 2, pages 145–475. Academic Press, London, 1983. [41] N. B. Wilding. Critical-point and coexistence-curve properties of the Lennard-Jones fluid: a finite-size scaling study. Phys. Rev. E, 52(1):602–611, 1995. [42] D. Chandler. Introduction to Modern Statistical Mechanics. Oxford University Press, New York, 1987. [43] L. D. Gelb and K. E. Gubbins. Characterization of porous glasses: Simulation models, adsorption isotherms, and the BET analysis method. Langmuir, 14:2097–2111, 1998. [44] L. D. Gelb and K. E. Gubbins. Pore size distributions in porous glasses: A computer simulation study. Langmuir, 15(2):305–308, 1999. 19 [45] L. D. Gelb and K. E. Gubbins. Correlation functions of adsorbed fluids in porous glass: A computer simulation study. Mol. Phys., 96(12):1795–1804, 1999. [46] L. D. Gelb and K. E. Gubbins. Characterization of controlled pore glasses: Molecular simulations of adsorption. In K. K. Unger, G. Kreysa, and J. P. Baselt, editors, Studies in surface science and catalysis, volume 128, pages 61–69, Amsterdam, 2000. Elsevier. [47] L. D. Gelb and K. E. Gubbins. Simulations of capillary condensation in porous glasses. In AIChE Symposium Series #325, volume 97, pages 292–295. AIChE, 2001. [48] M. P. Allen and D. J. Tildesley. Computer Simulation of Liquids. Clarendon Press, Oxford, 1987. [49] A. P. Lyubartsev, A. A. Martsinovski, S. V. Shevkunov, and P. N. VorontsovVelyaminov. New approach to Monte Carlo calculation of the free energy: Method of expanded ensembles. J. Chem. Phys., 96(3):1776–1783, 1992. [50] A. M. Ferrenberg and R. H. Swendsen. New Monte Carlo technique for studying phase transitions. Phys. Rev. Lett., 61(23):2635–2638, 1988. [51] L. Sarkisov and P. A. Monson. Computer simulations of phase equilibrium for a fluid confined in a disordered porous structure. Phys. Rev. E, 61(8):7231–7234, 2000. [52] L. Sarkisov and P. A. Monson. Hysteresis in Monte Carlo and molecular dynamics simulations of adsorption in porous materials. Langmuir, 16:9857–9860, 2000. 20 (a) (b) (c) (d) (e) Figure 1: Desorption in an open-ended, 4 nm diameter pore, at T∗ =0.801 and µ∗ =-4.33. This chemical potential is just below the desorption shoulder, as shown in Figure 6. Equilibration of the Monte Carlo simulation is observed for 300 million moves. Snapshots are shown in which the simulation cell has been cut in half along the pore axis; pore material is dark gray, and particles are light gray. “Cut” particles are white, showing the pore density in cross-section. Snapshot (a) is taken at 30 million moves, (b) at 90 million, (c) at 150 million, (d) at 210 million, and (e) at 270 million. The liquid-vapor meniscus moves into the pore at a constant rate. 21 (a) (b) (c) (d) (e) (f) Figure 2: Adsorption in a single-ended, 4 nm diameter pore at T∗ =0.801 and µ∗ =-4.18. This chemical potential is just above the capillary rise (see Figure 3). Equilibration of the Monte Carlo simulation is observed for 200 million moves. Snapshots are shown in which the simulation cell has been cut in half along the pore axis; pore material is dark gray, and particles are light gray. “Cut” particles are white, showing the pore density in cross-section. Snapshot (a) is taken at 15 million moves, (b) at 30 million, (c) at 45 million, (d) at 60 million, (e) at 75 million, and (f ) at 180 million. The liquid-vapor meniscus at the mouth of the pore in (f ) appears to be stable. 22 density 0.9 single−ended periodic (a) (b) (c) (d) (e) 0.7 0.5 0.3 −4.75 −4.25 −3.75 chemical potential −3.25 Figure 3: Adsorption and desorption isotherms in the single-ended, 4 nm diameter pore system and the 4 nm diameter, 16 nm long periodic pore system, shown for comparison. Reduced temperatures are (a) 0.801, (b) 0.890, (c) 0.927, (d) 0.974, and (e) 1.025. Isotherms (b)–(e) have been shifted 0.1, 0.2, 0.3 and 0.4 reduced chemical potential units to the right, respectively. The densities reported are the number of particles in the simulation cell divided by the volume of the cylindrical pore. In the open-ended pore, the density data have been uniformly shifted downwards by 0.21 density units so that the hysteresis loops approximately superimpose; this is necessary because of the additional adsorption in this system on the two planar surfaces visible in Figure 2. 23 (a) (b) (c) (d) (e) (f) Figure 4: Large density fluctuations in the single-ended 4 nm diameter pore system. (a)-(f ) are sequential snapshots from a single long simulation at constant T∗ =0.801 and µ∗ =-4.21, at the top of the desorption shoulder shown in Figure 3. The liquid-vapor meniscus exhibits slow, diffusion-like motion. The spacing between snapshots is 60 million Monte Carlo moves. 24 periodic open−ended 0.9 (a) (b) (c) density (d) 0.7 (e) 0.5 0.3 −5 −4.5 −4 chemical potential −3.5 Figure 5: Adsorption and desorption isotherms at five different temperatures, in open-ended and infinite (periodic) pores of 3 nm diameter and 108 nm length. The temperatures (a)– (e) are the same as in Figure 3. Isotherms (b)–(e) have been shifted 0.1, 0.2, 0.3 and 0.4 reduced chemical potential units to the right, respectively. The density is normalized by the cylindrical pore volume, as in Figure 3. Adsorption on the surfaces at the ends of the open-ended pore causes a small vertical shift in these isotherms. Open-ended pores have marginally smaller hysteresis loops in this system, and hysteresis disappears at a lower temperature in the open-ended system. 25 0.9 periodic open−ended (a) (b) density (c) (d) 0.7 0.5 (e) 0.3 −4.75 −4.25 −3.75 chemical potential −3.25 Figure 6: Adsorption and desorption isotherms at five different temperatures, in open-ended and infinite (periodic) pores of 4 nm diameter and 108 nm length. The temperatures (a)– (e) are the same as in Figure 3. Isotherms (b)–(e) have been shifted 0.1, 0.2, 0.3 and 0.4 reduced chemical potential units to the right, respectively. The density is normalized by the cylindrical pore volume; adsorption on the surfaces at the ends of the open-ended pore causes a small vertical shift in these isotherms. Open-ended pores have slightly smaller hysteresis loops in this system, and hysteresis disappears at a lower temperature in the open-ended system. 26 density 0.9 108 nm 16 nm 8 nm (a) (b) (c) (d) 0.7 (e) 0.5 0.3 −4.75 −4.25 −3.75 chemical potential −3.25 Figure 7: Adsorption and desorption isotherms at five different temperatures, in infinite (periodic) 4 nm diameter pores of lengths 108 nm, 16 nm, and 8 nm. The temperatures (a)–(e) are the same as in Figure 3. Isotherms (b)–(e) have been shifted 0.1, 0.2, 0.3 and 0.4 reduced chemical potential units to the right, respectively. 27
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