It is predicted herewith that the leakage of both hydrogen (H2) and deuterium (D2) from sII clathrate hydrates, borne of guest chemical-potential equalization driving enhanced nonequilibrium intercage hopping, should be observable experimentally. To this end, we have designed simulations to realize and study this process by microsecond molecular dynamics within the temperature range of 150-180 K-for which the hydrate lattice was found to be stable. In this pursuit, we considered initial large-cage (51264) guest occupancies of 1-4, with single occupation of 512 cavities. Examining transient, nonequilibrium intercage hopping, we present a lattice-escape activation energy for the four nominal large-cage occupancies (1-4), by fitting to the hydrate-leakage rate. The intercage hopping of H2 and D2 was studied using Markov-chain models and expressed at different temperatures and large-cage occupancies. The free energy of guest "binding" in the large and small cages was also computed for all of the occupancies. Toward equilibrium, following the majority of H2/D2 escape via leakage, the percentage of occupancies was calculated for both H2 and D2 for all of the systems for all initial nominal large-cage occupancies; here, not unexpectedly, double occupancies occurred more favorably in large cages and single occupancies dominated in small cages.
It is predicted herewith that the leakage of both hydrogen (H2) and deuterium (D2) from sII clathrate hydrates, borne of guest chemical-potential equalization driving enhanced nonequilibrium intercage hopping, should be observable experimentally. To this end, we have designed simulations to realize and study this process by microsecond molecular dynamics within the temperature range of 150-180 K-for which the hydrate lattice was found to be stable. In this pursuit, we considered initial large-cage (51264) guest occupancies of 1-4, with single occupation of 512 cavities. Examining transient, nonequilibrium intercage hopping, we present a lattice-escape activation energy for the four nominal large-cage occupancies (1-4), by fitting to the hydrate-leakage rate. The intercage hopping of H2 and D2 was studied using Markov-chain models and expressed at different temperatures and large-cage occupancies. The free energy of guest "binding" in the large and small cages was also computed for all of the occupancies. Toward equilibrium, following the majority of H2/D2 escape via leakage, the percentage of occupancies was calculated for both H2 and D2 for all of the systems for all initial nominal large-cage occupancies; here, not unexpectedly, double occupancies occurred more favorably in large cages and single occupancies dominated in small cages.
Natural
gas hydrates are compounds of nonstoichiometric inclusion
in which water molecules form cages, or cavities, which entrap gas
molecules—known as guests. The hydrogen bonding of water molecules[1] binds these cages together in crystal lattices,
not dissimilar to kinds of “cagey” ice, the configurations
of which depend on the sizes of the guest molecules. The three most
commonly occurring types, or polymorph, of crystal structure have
been labeled as sI, sII, and H. Each polymorph has various crystallographic
characteristics, including cavities of various shapes and sizes. In
the sI (type I) case, a clathrate contains 46 water molecules in a
unit cell that form two pentagonal dodecahedra (512 cages)
and six truncated hexagonal trapezoidal cavities (51262). In the case of type II (sII), 136 water molecules are composed
of sixteen 512 and eight 51264 cages
in a unit cell. The type H clathrate is made up of 36 water molecules
in a unit cell containing three 512, two 435663, and one 51268 cages.
In which the host are water molecules and the guest molecules are
gases, these clathrate hydrates act as host complexes. The structure
of a clathrate hydrate can collapse into liquid water all too easily
without the help of the trapped gas molecules.[2]Methane hydrate is the most common of these crystalline compounds,
and the world’s natural gas-hydrate (NGH) reserves represent
a large supply of hydrocarbons. However, given that gas hydrates have
various potential applications, many other industrial forms of clathrate
center around water desalination, carbon-dioxide sequestration, and
the preservation of certain molecules, such as hydrogen.[3] Importantly, during both hydrate formation and
decomposition, clathrate hydrates do not produce any chemical waste,
and hydrogen-natural gas mixtures can also be used as an energy resource
in and of themselves.[4] Indeed, due to their
potential as economic and environmentally friendly hydrogen storage
materials, hydrogen clathrate hydrates have attracted a great deal
of interest in recent years.[5]Dyadin
et al. were the first to describe simple hydrogen clathrate
hydrates, which only have hydrogen molecules as guests,[6] which were later characterized in more detail
by Mao et al.[7] It was reported by Mao et
al. that the small cage is typically occupied by two H2 molecules and four by the large hydrogen hydrate cage at moderate
to high pressures, equivalent to 5.3 wt % molecular hydrogen in the
material.[7] A subsequent neutron-diffraction
analysis of pure sIIhydrogen hydrate by Lokshin et al.[8] confirmed the quadruple D2 occupancy
of the broad cage at moderate to high pressures below 70 K but found
only one D2 molecule in the small cage, reducing the estimation
of the maximum storage capacity of hydrogen to about 3.8 wt %. The
same study showed that at ambient pressure, the large cages began
to lose D2 molecules above 70 K and above 190 K at 200
MPa; the lowest occupancy of two D2 molecules was calculated
for the large cage. Also, they have shown in their experiments that
the small cage can hold only one H2 molecule, while the
wide cage can encapsulate up to four H2 molecules.[8] In our previous study,[9] we performed molecular-dynamics (MD) calculations on both D2 and H2 in bulk hydrate for cage occupancies and
their self-diffusivity via intercage hopping and studied using a Markov-chain
model these hopping phenomena as a function of temperature. In addition,
turning to intramolecular motion, Sebastianelli et al. have studied
the quantum translational-rotational dynamics H2 and D2 clusters in sII large cages (51264),[10] and Xu et al. reported the quantum translation-rotation
studies of the small cage of sII type clathrate hydrate.[11] Indeed, guest molecules in clathrate hydrates
have been studied extensively using both theoretical[2,12−24] and experimental[6,8,33,25−33] techniques, and still there is a much scope to understand the properties
of gas molecules in the interface of clathrate hydrates. In particular,
given our recent study on “leaky” sII hydrates (of neon)
via MD, allowing for hydrate-emptying by transfer to a neighboring
vacuum,[34] there are many open questions
on guest molecules’ escape by intercage hopping—the
underpinning mechanics of nonequilibrium molecular mass transfer and
associated cage-level diffusivity and occupancy phenomena.In
the present study, given this broad and well-justified interest
in hydrogen hydrates as a hydrogen-storage material, we are motivated
by unresolved, open questions relating to both H2 and D2 intercage diffusivity and release of the H2 and
D2 to vacuum, given our observation of “leaky”
neonsII hydrates.[34] We wish to understand
if such leaks extend to H2 and D2. In particular,
with a guest-loaded hydrate and therefore a chemical-potential driving
force for guest mass transfer (via Fick’s Law), it is fascinating
to scrutinize the phenomena underpinning transfer of guest molecules
passing from one cage to another as a dramatic case study of nonequilibrium
diffusion. Indeed, in the present study, we examine the cage-to-cage
molecular hopping motions of H2 and D2 molecules
inside a hydrate to a neighboring vacuum—both as a function
of temperature and nominal guest occupation; in this, we determine
the dynamical characteristics and interplay of cage occupancies and
their associated activation-energy profiles in a Markov-chain framework,[9] to gain better insights into the various aspects
influencing escape of the guest molecules from their molecular “jail
cells” to vacuum. In addition, to characterize driving force,
the free-energy profile was also calculated using thermodynamic integration
for all occupancies.[34]
Methodology
H2 and D2 molecules were put in 2 ×
2 × 2 sII-clathrate supercells of vanishingly small dipole, with
a size of 3.42 nm on each side, and the vacuum (with a length of 2
× 3.42 nm along the direction of heterogeneity) was applied on
the x direction as shown in Figure ; for x-, y-, and z-directions, periodic boundary conditions were applied,
as in ref (34). H2 and D2 were put in 51264 large cages (i.e., featuring 12 pentagonal faces and 4 hexagonal
ones) and small-cage 512 dodecahedra. For each large cage,
there were one to four (1, 2, 3, and 4) molecules placed therein,
and a small cage held only one molecule as a guest (given the single
small-cage occupation found by Lokshin et al.[8]). In this way, subsequent MD simulations were performed of either
H2 or D2 as a guest with four different nominal
initial concentrations for large-cage loading in the hydrate, so that
the calculations were performed in four distinct configurations.
Figure 1
Schematic
of a singly occupied (51264-cage)
(110) plane H2/D2-bearing hydrate in the simulation
box.
Schematic
of a singly occupied (51264-cage)
(110) plane H2/D2-bearing hydrate in the simulation
box.For both H2 and D2, the same force-field
parameters were used in the previous MD investigation of sIIhydrogen
hydrates; the potentials are kept the same for both H2 and
D2, and the extra masses are added to the D2 molecules; these replicated correctly the experimental gas-phase
quadrupole moment of H2 and D2.[9] MD simulations were carried out in the NVT ensemble using
the 3D particle-mesh Ewald method to handle long-range interactions,[35] with a Nosé–Hoover relaxation
time of 5 ps. Simulations were conducted for 1 μs, using the
velocity Verlet algorithm; Lennard-Jones 12-6 and real-space Ewald
interactions were subject to a 1.2 nm cut-off. The GROMACS 5.1[36−38] package was used for all simulations. Simulations were carried out
at seven different temperatures, ensuring very carefully that the
hydrate lattice itself remained intact throughout the full 1 μs,
albeit subject to some surface-layer rearrangements at 175–180
K: 150, 155, 160, 165, 170, 175, and 180 K. Aside from visualization
per se, we judged the number of enclathrated water and guest molecules
using the Báez-Clancy (BC) geometric-recognition method, which
distinguishes between water molecules in the hydrate, ice lattices,
and liquid phase. This provided a quantitative check on lattice integrity,
as well as allowing for a quantitative study of guest numbers’
depletion in the hydrate phase (in tandem with vacuum-phase H2/D2-molecule counting and visualization). Above
around 180 K (i.e., in the 185–195 K region), there was the
onset of bulk-lattice dissociation for the variously occupied hydrate-lattice
systems (i.e., thermodynamic melting), albeit even after a good fraction
of a microsecond, so simulations with these moderate thermodynamic
thermal driving forces were not analyzed: as with ref (34)., the purpose of the present
study is to investigate nonequilibrium cage-hop-mediated diffusional
escape of H2/D2 guests under conditions in which
the “leaky” lattice itself is thermodynamically (meta)stable
and certainly kinetically so, over simulation timescales of at least
a microsecond. As with ref (34). for the case of neon’s leaky escape from sII clathrate,
this allows for plateaux in guest-release numbers to be realized (i.e.,
essentially attainment of guest chemical-potential equilibrium in
both hydrate and vacuum phases).In our calculations, the sII-clathrate
lattice[39] was used, and it is shown in Figure . The movement inside
the clathrate-hydrate
structure of H2 and D2 molecules was analyzed
and captured as the Markov-chain model,[9,40] and that facilitated
by intercage hopping migration[41−43] was analyzed and captured as
Markov-chain models.[9,44] It is necessary to remember that
not all states can make a substantial contribution to the overall
system’s configurational properties. Indeed, in producing a
Markov chain,[44] in principle, it is important
to sample those states that make the most important contributions
to accurately evaluate the system’s properties in the finite
time available for the simulation, even though the 1 μs durations
in the present study do allow for very extensive statistical sampling
of cage-hop events in practice.The Helmholtz (ΔA)/Gibbs free energy (ΔG) of H2/D2 “binding”
in sII cavities (both large and small) were calculated with a leap-frog
stochastic-dynamics integrator: the difference in free energy between
two states of the system was determined using the coupling-parameter
approach in conjunction with the thermodynamic-integration (TI) formulism.
In this approach, the Hamiltonian H is modified as
a function also of a coupling parameter, λ, i.e., H = H (p; q; λ), in such a way that λ
= 0 describes system A (decoupled) and λ = 1 describes system
B (coupled).[34]Further details are explained in ref (34). The intermediate λ
values used in between
decoupled and coupled states were varied from 0 to 1, in 11 steps.
The calculations were run for up to 5 ns, sampled, and averaged during
the overall 1 μs simulations. For statistical robustness, free-energy
calculations were run for 10 different H2/D2 sites for both large (51264) and small (512) cages.
Results and Discussion
Given the
fact that the present study considers D2 and
H2 leakage below the melting point, that is, with the lattice
itself fully intact, we used the BC approach to define the number
of hydratelike water and D2 or H2 molecules—always
being sure of avoiding lattice melting by 1 μs constancy of
the enclathrated-water count, defined by the BC method. The H2 and D2 gas was arranged in four different configurations
with a single occupancy in all small cages (512) and one
to four occupancies in a large cage in the system shown in Figure . As a representative
example, shown in Figure are some snapshots of the emptying of the (doubly occupied
51264-cage) H2-bearing hydrate; comparable
ones for a similar D2 release are depicted in Figure S1 (see the Supporting Information). To
remind, the overall system’s temperature was kept constant
over 1 μs simulations using a Nosé–Hoover thermostat;
two temperature trajectories are shown for the 51264-double-occupancy case in Figure S2 (cf. Supporting Information). A pair distance analysis performed
between the guest molecules during one sampled 100 ns simulation period
proved the free movement of the guest molecules inside the case and
the absence of any dominant orientation between them. At each frame,
depending on their distance, the molecules impose repulsive or attractive
forces to the neighboring guest molecule (Figure S6).
Figure 2
Snapshots of H2 release in from (doubly occupied 51264-cage) clathrate hydrates. Red denotes hydrogen,
with release into the vacuum. Blue represents BC-classified hydratelike
water molecules in the hydrate phase.
Snapshots of H2 release in from (doubly occupied 51264-cage) clathrate hydrates. Red denotes hydrogen,
with release into the vacuum. Blue represents BC-classified hydratelike
water molecules in the hydrate phase.The dynamics of guest release are shown in Figures and 4 as a function
of both initial nominal large-cage occupation and temperature, with
the partial-escape leakage continuing until the H2/D2-fugacity difference between the hydrate and gas (initially
vacuum) phases is very small. Of course, one may define the rate of
interphase leakage/transfer in a manner consistent with Fick’s
Law:where H refers
to the guest (H2/D2), As is the cross-sectional surface area of a particle, fe is the guest fugacity in the hydrate, and f is its level in the vacuum/developing-gas phase, with
the guest fugacity (or, equivalently, chemical-potential) difference
acting as the mass-transfer driving force.
Figure 3
BC-classified hydratelike
H2 count versus time, showing
declathration and partial lattice emptying toward plateaux close to
guest-fugacity equilibrium across the hydrate and now-gas phase (i.e.,
no longer vacuum). The results of the different 51264-cage occupancies are shown for (a) 1, (b) 2, (c) 3, and (d)
4.
Figure 4
BC-classified hydratelike D2 count
versus time, showing
partial escape toward plateaux close to guest-fugacity equilibrium
across the hydrate and now-gas phases (i.e., no longer vacuum). Different
51264-cage occupancies are shown: (a) 1, (b)
2, (c) 3, and (d) 4
BC-classified hydratelike
H2 count versus time, showing
declathration and partial lattice emptying toward plateaux close to
guest-fugacity equilibrium across the hydrate and now-gas phase (i.e.,
no longer vacuum). The results of the different 51264-cage occupancies are shown for (a) 1, (b) 2, (c) 3, and (d)
4.BC-classified hydratelike D2 count
versus time, showing
partial escape toward plateaux close to guest-fugacity equilibrium
across the hydrate and now-gas phases (i.e., no longer vacuum). Different
51264-cage occupancies are shown: (a) 1, (b)
2, (c) 3, and (d) 4It is clear for both
H2 and D2 cases in Figures and 4 that the decline
of the driving force (cf. eq ) as the leakage proceeds slows
down the rate of mass transfer as one approaches the respective guest-concentration
plateaux inside the hydrates, close to interphase thermodynamic equilibrium.Although from Figures and 4, it is clear that temperature
affects the leakage rate, given that the escape from the hydrate lattice
occurs by a cage-by-cage hopping mechanism, there is a less obviously
dramatic effect of the initial (nominal) occupation. Certainly, in
the case of quadruple large-cage occupation, the level of molecular
“crowding” is quite elevated, given that there is a
growing experimental and simulation body of consensus that large cages
are typically no more than doubly occupied.[45] Therefore, more elevated concentrations need to overcome larger
free-energy barriers to jump from one cage to another, with all large
cages having high occupation.[9,41,42,46,47]The levels of the ultimate plateaux are different in each
case
in Figures and 4, reflecting the different approximate fugacity
balance of the guest in both hydrate and gas (initially vacuum) phases.
On comparing Figure (H2) versus Figure (D2), although the rate of D2 leakage is generally somewhat slower than that of H2 (although
understood in a first-order isotopic sense by double the mass), there
is a greater ultimate reduction in D2 content vis-à-vis
H2, ceteris paribus; this disparity becomes more marked
at higher temperatures. As will be discussed below, the guest–cage
interactions become more marked at higher temperatures, with a larger
scope for greater-amplitude intracage rattling,[48] together with faster intracage “tetrahedral-site-swapping”
motions,[45] and so heavier D2 molecules exhibit a greater degree of thermal activation, due to
greater propensity for temperature-induced intracage vibrational and
rattling activation. Although double in mass, the greater amplitude
of D2 collisions with surrounding cages, and magnitude
of momentum-transfer “leakage,” leads to cages’
greater “flexing” and time-dependent distortions, facilitating
escape.Considering thermal effects to accelerate the kinetics
of leakage,
the activation energy (Ea) for each system
during this nonequilibrium leakage process was calculated for the
non-steady-state rate constants (cf. eq 4) from Arrhenius-fitting Figures and 4 at different temperatures (cf. Figures S3 and S4 and Tables S1 and S2, Supporting Information), and
the values are summarized in Table . We can conclude that the nonequilibrium Ea within the clathrate hydrate is the lowest for the four-occupancy
model, which is consistent with easier thermal activation of larger-cage
occupancies.[48] The highest Ea arises for double occupancy vis-à-vis other occupancies
in both deuterium and hydrogen cases, and this is also supported by
the occupancy percentage of the gas molecules. For nominal double
occupation, refs (45). and (48) highlight
the more highly stable intramolecular configurations in terms of the
general tetrahedral structure vis-à-vis other occupancies (both
thermodynamically and structurally and with respect to intra- and
inter-cage-hopping propensity). This serves to rationalize the present
findings for the highest activation energy during nonequilibrium molecular
escape toward close to thermodynamic equilibrium, which was also reflected
in longer cage dwell-time results for the nominal double-occupation
case: this is clear in Figure , when considering probability distributions in terms of overall
cage-residence times over the ensemble of guests. In large cages,
nominally doubly occupied systems persist more in that double-occupation
state in actuality—for H2, cf. Figure b vs 5a, c, and d and, for
D2, cf. 5f vs 5e, g and h). This is also reflected in the
allied tabulation in Table S3 (see the
Supporting Information).
Table 1
Activation Energy of the H2 and D2 Leakage Rates (See Arrhenius Fits in Figures S3 and S4)
hydrogen
deuterium
name
Ea (kJ/mol)
Std error
Ea (kJ/mol)
Std error
1-occ
5.29
1.07
4.73
0.006
2-occ
8.08
2.67
6.98
1.31
3-occ
4.27
0.30
5.05
0.43
4-occ
3.85
0.26
3.59
0.48
Figure 5
Large-cage occupancy overall percentage of the
D2 and
H2 in the latter part of simulations. (a-d) 1-, 2-, 3-,
and 4-occpancy, respectively, for H2. (e-h) 1-, 2-, 3-,
and 4-occupancy for D2.
Large-cage occupancy overall percentage of the
D2 and
H2 in the latter part of simulations. (a-d) 1-, 2-, 3-,
and 4-occpancy, respectively, for H2. (e-h) 1-, 2-, 3-,
and 4-occupancy for D2.Single
occupancy is favored in small cages, and the results are
shown in Figure and
in Table S2 (see the Supporting Information).
The release percentages of H2 and D2 gases were
calculated, and the release percentage increases with the increasing
temperature and is shown in Figure . For the associated cage-occupation values, please
see Tables S3 and S4 for hydrogen and deuterium,
respectively. Figure details the percentage release of the total amount of H2 and D2 in the systems as a function of temperature, which
is broadly reflective of closer-to-equilibrium final plateaux encountered
in the final release-dynamics plots of Figures and 4 and is informed
by the cage-occupancy details of Figures and 6. In essence,
and perhaps unsurprisingly, Figure reveals that the quadruply occupied systems shed a
greater proportion of their guests into the gas phase, given that
the fugacity of the guests would be expected to be higher (and close
to equal) in both the hydrate and gas phases for a larger number of
guests. The most intriguing points of Figures and 7 are the emptying
of a greater proportion of the small cavities evident in the singly
occupied 51264 case (which is also evident in Figure ) and small cavities’
rare double occupation for initial quadruple occupation of large cages.
Obviously, these distributions are sampled over a full microsecond
of emptying, so Figures and 6, in terms of time of occupancy-number
distributions, must be noted as such.
Figure 6
Small-cage occupancy overall percentage
of the D2 and
H2 in the latter part of simulations. (a-d) 1-, 2-, 3-,
and 4-occpancy, respectively, for H2. (e-h) 1-, 2-, 3-,
and 4-occupancy for D2.
Figure 7
Release
percentage versus temperature for all occupancies: (a)
hydrogen and (b) deuterium.
Small-cage occupancy overall percentage
of the D2 and
H2 in the latter part of simulations. (a-d) 1-, 2-, 3-,
and 4-occpancy, respectively, for H2. (e-h) 1-, 2-, 3-,
and 4-occupancy for D2.Release
percentage versus temperature for all occupancies: (a)
hydrogen and (b) deuterium.Migration occurs in the main through hexagonal faces, as refs (45−48). make clear from free-energy-barrier considerations. However, rarely,
it does occur through pentagonal faces (cf. Figure d,h), mostly for 512 cages in
the case of the (nominally) quadruply occupied large cages. The mechanism
is essentially the same as through hexagonal cages, albeit, there
is a much larger chemical-potential driving force in the case of quadruply
occupied large cages, mostly to transfer through hexagonal faces to
other larger cages and onward to the bulk vacuum/gas phase, but, in
some cases, through pentagonal faces to a limited number of small
512 cages.Cage radii, both large and small, have
been measured over the simulation
period at different temperatures—see Figure for H2 and Figure for D2. As mentioned above in
connection with the only somewhat slightly slower rate of D2-release kinetics (cf. Figure vs Figure ), this is rationalized by guest–cage interactions becoming
more marked in their amplitude at higher temperatures. The cage radii
in Figures and 9, and more specifically their standard deviations,
reveal vividly the greater-amplitude intracage rattling,[48] together with faster intracage “tetrahedral-site-swapping”
motions,[45] and so the heavier D2 molecules exhibit greater collisions, facilitating their escape.
Figure 8
Average
cage radius with respect to temperature for hydrogen (a)
large cage and (b) small cage.
Figure 9
Averaged
cage radius with respect to temperature for deuterium
(a) large cage and (b) small cage.
Average
cage radius with respect to temperature for hydrogen (a)
large cage and (b) small cage.Averaged
cage radius with respect to temperature for deuterium
(a) large cage and (b) small cage.Moving on to model the nonequilibrium emptying process in terms
of a Markov process is instructive and illuminating in the case of
the present results. A Markov chain is a series of trials in which
only the immediate predecessor depends on the outcome of successive
trials. A new state will be admitted in the Markov chain only if it
is more favorable than the current state.[44] This typically means that the new trial state is lower in energy
in the sense of a simulation using an ensemble. If a guest molecule
travels from a single cage to a secondary cage, one “trip”
counts. Each such trip has been labeled based on the starting and
the secondary cage type, as large to large (LL), large to small (LS),
small to large (SL), and small to small (SS); a schematic is shown
in Figure .[9] From the Markov model, the hydrogen travel of
the large-to-large (LL) cage is more favorable at all temperatures,
despite the larger-amplitude thermal activation for D2 at thigh temperature
(cf. cage radii in Figures and 9—specifically high-temperature
radius standard deviations). Most interestingly, for the deuterium,
the large-to-large-cage travel is “encouraged” at low
temperatures (with lesser thermal activation in D2-cage
collisions, cf. Figure vs Figure and small-to-small
is favorable when it reaches the highest temperature of the simulation,
that is, 180 K—owing to the large level of distortions evident
in the smaller cages at 180 K with more substantial D2-cage
collisions (cf. large error bar on the bottom right of Figure ). The tables of all occurrences
are shown in Tables S5 and S6 (see the
Supporting Information). As an example, Figure S5 illustrates the diffusion path of one H2 molecule
through its journey leaving the hydrate structure, doing large-to-large
cage hopping.
Figure 10
Schematic of a Markov model for internal cage hopping
in the hydrate,
adopted from ref (9).
Schematic of a Markov model for internal cage hopping
in the hydrate,
adopted from ref (9).As we have shown in ref (48). with intercage energy-barrier
estimates for H2 and D2 hopping, the lowering
of temperature, alongside
associated amplitudes of thermal vibrations of the guest and watercage-face molecules, facilitates especially large-to-large cage hopping
transfer. This is based largely on geometric, steric, and negotiable-pathway
considerations for these large-to-large cage transitions.In
terms of specific subpicosecond cage-centric dynamical phenomena,
e.g., cage-rattling and distortion, these do play an important role,
of course in cage-to-cage hopping within the hydrate phase.[41,42,45,48] For instance, ref (41). considers cage-radii, distortion, flexing, and vibrational frequency
for these processes before and during cage-hop events, while ref (48). considers guest intracage
rattling and vibrational coupling with the watercage. Refs (42). and (45) consider free-energy barriers
and thermodynamic aspects to cage-hopping, considering also important
temperature and cage-occupation influences.To investigate some
thermodynamic aspects of lattice emptying,
in and of itself an inherently nonequilibrium process, high-temperature
binding free energies of guests were computed using the TI method,
as outlined earlier, and sampled and averaged over molecular-hop events
for the particular molecular guests in those respective individual
cages (whether occupied singly or multiply). Given that the vast majority
of the cage hopping took place in, and between, large cages, we considered
these in our calculations for the different levels of occupation.
However, given the observation of some small-to-small-cage hopping
at higher temperatures, albeit more so for D2, we also
examined such small-cage phenomena for single and quadruple 51264-cage occupations. Unsurprisingly, we have found
that the guest–cage “binding” free energy (see Table ) is larger for more
crowded D2 in large cages, owing to greater-amplitude D2-cage collisions, with this also evident in small cages (especially
for quadruple 51264-cage occupation, with the
occasional “foray” into small cages for rare—but
not-unprecedented—double occupation of small cages—cf. Figure h). Taken together,
these free-energy observations are consistent with the thermodynamic
ease or difficultly with which certain guests can transfer between
different cage types—all given by the bigger “backdrop”
of Fick’s Law driving toward equalizing as much as possible
the guests’ fugacity, or chemical potential, in the gas and
hydrate phases.
Table 2
Guest-Interaction Binding Free Energies
in Large Cages and Selected Small Cages
hydrogen
deuterium
S. No.
name
small cage
ΔG (KJ/mol)
large cage
ΔG (KJ/mol)
small cage
ΔG (KJ/mol)
large cage
ΔG (KJ/mol)
1
1-occupancy
0.89
1.74
0.86
2.08
2
2-occupancy
10.11
8.52
3
3-occupancy
27.25
26.64
4
4-occupancy
4.63
54.64
3.38
45.22
Conclusions
The leakage of both
hydrogen (H2) and deuterium (D2) from sII clathrate
hydrates, borne of guest chemical-potential
equalization driving enhanced nonequilibrium intercage hopping, has
been predicted by microsecond MD within the temperature range of 150–180
K—for which the hydrate lattice was found to be stable. In
this pursuit, we considered initial large-cage (51264) guest occupancies of 1–4, with single occupation
of 512 cavities. Examining transient, nonequilibrium intercage
hopping, we presented a diffusional activation energy for the four
nominal large-cage occupancies (1–4) using leakage-rate fits.
The intercage hopping of H2 and D2 was studied
using Markov-chain models and expressed at different temperatures
and large-cage occupancies. The free energy of guest “binding”
in the large and small cages was also computed for all of the occupancies.
Toward equilibrium, following the majority of H2/D2 escape via leakage, the percentage of occupancies was calculated
for both H2 and D2 for all of the systems for
all initial nominal occupancies; here, not unexpectedly, double occupancies
occurred more favorably in large cages and single occupancies dominated
in small cages.We note that the prevalence of single- and,
often, double-occupation
of large cages, together with primarily single occupation of the small
cages (cf. Figures and 6) in the latter part of the simulations,
close to the attainment of equilibrium. This suggests that the typical
large-cage occupancies are of the order of 1.5–1.6 and 0.8–0.9
for small cages (subject, of course, to overall pressure and temperature
levels). The calculated pressure values for the simulation boxes are
reported in Table S7. This is in close
accord with a body of more recent and growing theoretical and experimental
cage-occupancy findings, as is discussed in refs (14). and (45). Indeed, with respect
to the kinetic stability of cage occupation (i.e., kinetic suppression
of leakage rate), in Figure b and Figure b for the respective doubly occupied H2 and D2 in 51264 cages, we note most tellingly that
at 150 K, the number of enclathrated guests declines most slowly,
especially for H2 (Figure b), emphasizing that double occupation also has kinetic
aspects toward its relative stabilization, in agreement with the emerging
consensus of experimental and theoretical literature studies, as discussed
in refs (14). and (45).In general, the
D2 leakage rates were observed to be
greater overall than those for H2. It is remarked that
this is likely due to the stronger collisions between guest and cage
molecules in the case of D2, which increases the likelihood
of cage distortion and subsequent escape of the guests. As a suggestion
for future study, a detailed study on the use of a flexible guest
model with a nonrigid H–O–H or D–O–D bonds
and its influence when considering the proportion of thermal activity
can reveal more information about cage–guest interactions.Given that hydrate–guest leakage is an inherently nonequilibrium
diffusional process, MD simulation of both the present work and, indeed,
for the case of neon declathration in ref (34)., needs to be allied further with experimental
reports of the same guest-escape process. In this respect, in ref
(34)., MD analyzed
experimental measurements of ref (49). closely. Therefore, we both appeal to, and,
indeed, challenge, the experimental community to investigate H2 and/or D2 release from either mixed or pure hydrates—based
on our startling predictions herewith. Certainly, future theoretical
work in this vein would do well to consider the currently MD-predicted
H2/D2 leakage within the broader Pozhar–Gubbins
statistical-mechanical theory of mass transport in strongly inhomogeneous
fluids,[50,51] as well as the framework of potential non-Onsager
fluctuation-dissipation in mass-transfer flux,[52] ideally in tandem with accurate guest-leakage experiments.
Authors: David Van Der Spoel; Erik Lindahl; Berk Hess; Gerrit Groenhof; Alan E Mark; Herman J C Berendsen Journal: J Comput Chem Date: 2005-12 Impact factor: 3.376
Authors: Joseph R Cendagorta; Anna Powers; Timothy J H Hele; Ondrej Marsalek; Zlatko Bačić; Mark E Tuckerman Journal: Phys Chem Chem Phys Date: 2016-11-30 Impact factor: 3.676
Authors: Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl Journal: Bioinformatics Date: 2013-02-13 Impact factor: 6.937