 Open Access Article
 Open Access Article
      
        
          
            Vitalii 
            Kuznetsov
          
        
       ab, 
      
        
          
            Wiebke 
            Lohstroh
          
        
      c, 
      
        
          
            Detlef 
            Rogalla
          
        
      d, 
      
        
          
            Hans-Werner 
            Becker
          
        
      d, 
      
        
          
            Thomas 
            Strunskus
          
        
      e, 
      
        
          
            Alexei 
            Nefedov
ab, 
      
        
          
            Wiebke 
            Lohstroh
          
        
      c, 
      
        
          
            Detlef 
            Rogalla
          
        
      d, 
      
        
          
            Hans-Werner 
            Becker
          
        
      d, 
      
        
          
            Thomas 
            Strunskus
          
        
      e, 
      
        
          
            Alexei 
            Nefedov
          
        
       f, 
      
        
          
            Eva 
            Kovacevic
          
        
      g, 
      
        
          
            Franziska 
            Traeger
          
        
      b and 
      
        
          
            Peter 
            Fouquet
f, 
      
        
          
            Eva 
            Kovacevic
          
        
      g, 
      
        
          
            Franziska 
            Traeger
          
        
      b and 
      
        
          
            Peter 
            Fouquet
          
        
       *a
*a
      
aInstitut Laue-Langevin, CS 20156, 38042 Grenoble Cedex 9, France. E-mail: fouquet@ill.fr;   Tel: +33 476 20 7204
      
bWestfälische Hochschule, Gelsenkirchen, Bocholt, Recklinghausen, August-Schmidt-Ring 10, 45665 Recklinghausen, Germany
      
cTechnische Universität München, Forschungsneutronenquelle Heinz Maier-Leibnitz (FRM II), Lichtenbergstr. 1, 85747 Garching, Germany
      
dRUBION, Ruhr-Universität Bochum, Universitätsstr. 150, 44801 Bochum, Germany
      
eTechnische Fakultät der Universität Kiel, Institut für Materialwissenschaft-Materialverbunde, Kaiserstr. 2, 24143 Kiel, Germany
      
fKarlsruher Institut für Technologie (KIT), Institut für Funktionelle Grenzflächen (IFG), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
      
gGREMI, UMR 7344 CNRS/Université d’Orléans, 45067 Orléans, Cedex 2, France
    
First published on 18th January 2021
The diffusion of hydrogen adsorbed inside layered MoS2 crystals has been studied by means of quasi-elastic neutron scattering, neutron spin-echo spectroscopy, nuclear reaction analysis, and X-ray photoelectron spectroscopy. The neutron time-of-flight and neutron spin-echo measurements demonstrate fast diffusion of hydrogen molecules parallel to the basal planes of the two dimensional crystal planes. At room temperature and above, this intra-layer diffusion is of a similar speed to the surface diffusion that has been observed in earlier studies for hydrogen atoms on Pt surfaces. A significantly slower hydrogen diffusion was observed perpendicular to the basal planes using nuclear reaction analysis.
With an increase in renewable energy production, the problem of energy storage becomes more and more significant. One of the most promising ideas is storage in form of hydrogen gas. It involves the production of hydrogen by electrolysis and later reconversion of hydrogen in fuel cells. It is of paramount importance for these processes to be carried out most efficiently with the most readily accessible materials. Therefore, there have been intense studies in the search for catalyst materials for the hydrogen and oxygen evolution reactions,4,5 in order to replace the expensive platinum, which is widely used today.
Molybdenum disulphide, MoS2, has shown promising behaviour as a catalyst in the hydrogen evolution reaction (HER),6–10 which is completely in line with its known activity for hydrogenation reactions. However, the structural properties are rather complex. MoS2 forms a crystal of hexagonal Mo and S layers, with an interlayer distance of 6.2 Å.11 On the basis of this structure, three stacking variants have been observed, each with slightly different conductivity and catalytic activity.6,12 In earlier studies catalytic activity had been attributed to amorphous particles,13 but recently it has been shown that although the active centres are probably sulphur edge atoms, the stoichiometry of the active surface is 1Mo:2S, the same as for the perfect crystal.6,7,10,14
However, the amount of active centres may not be the only reason for chemical activity. For palladium, for example, during hydrogen evolution also the movement of hydrogen atoms to sites below the surface has been observed (HIR, hydrogen injection reaction).15 For platinum surfaces, the recombinative desorption of hydrogen was shown to be the rate limiting step in HER.16 For MoS2 some theoretical studies suggest that intercalation of hydrogen is possible. Therefore, the diffusion of hydrogen can be expected to play a role in the overall reaction mechanism.17,18
Within the scope of the present study we investigated the adsorption and diffusion of hydrogen on MoS2 using quasi-elastic neutron scattering (QENS) and neutron spin-echo spectroscopy (NSE) together with nuclear reaction analysis (NRA) and X-ray photoelectron spectroscopy (XPS).
This paper is organised as follows: after this short introduction, we will give a short description of the theoretical model that we use to analyse the spectroscopic neutron scattering data. Then, we will describe the sample preparation and the experimental apparatus that we used. Finally we will describe our experimental findings and discuss them in the framework of earlier studies.
 , the elastic scattering function, Sel(Q,ω), the quasi-elastic scattering function, Sqe(Q,ω), and a resolution function R(Q,ω):
, the elastic scattering function, Sel(Q,ω), the quasi-elastic scattering function, Sqe(Q,ω), and a resolution function R(Q,ω):| S(Q,ω) = SDW(Q)δ(ω) * [Sel(Q)δ(ω) + (1 − Sel(Q))Sqe(Q,ω)] × R(Q,ω). | (1) | 
|  | (2) | 
 is a normalised Lorentzian function and
 is a normalised Lorentzian function and  is the half-width at half-maximum (HWHM) of the corresponding rotational contribution with τrot being the characteristic time of rotation. We note that for describing the motion of hydrogen atoms, the rotational terms disappear (SR(Q,ω) ≡ δ(ω)).
 is the half-width at half-maximum (HWHM) of the corresponding rotational contribution with τrot being the characteristic time of rotation. We note that for describing the motion of hydrogen atoms, the rotational terms disappear (SR(Q,ω) ≡ δ(ω)).
      Depending on a system, translational motion can either have a free or a spatially constrained behaviour. In the former case it can be expressed as a simple normalised Lorentzian  . In the latter case a part of the quasi-elastic scattering remains elastic and a delta-function term, A0(Q)δ(ω), is added:2
. In the latter case a part of the quasi-elastic scattering remains elastic and a delta-function term, A0(Q)δ(ω), is added:2
| ST(Q,ω) = A0(Q)δ(ω) + (1 − A0(Q))L(ΓT,ω), | (3) | 
|  | (4) | 
|  | (5) | 
|  | (6) | 
A quasi-elastic broadening caused by translational diffusion ΓT depends heavily on the type of motion, which can be continuous or jump-like. A number of different models have been considered that describe each kind of diffusion as usually several of them need to be tested on a system in order to get a reliable result. Three models will be discussed in detail later in the Results and discussion section.
Here, we will consider a commonly occurring case, ΓlR ≪ ΓT, which allows us to neglect ΓlR in the last series in (6). Thus, the fourth item becomes  . The summation here starts from l = 1, however one can note that the third item [1 − A0(Q)]j02(QR)L(ΓT,ω) is actually a term of this sum with l = 0. Hence, withdrawing ΓT from the sum as it does not depend on l, one can get:
. The summation here starts from l = 1, however one can note that the third item [1 − A0(Q)]j02(QR)L(ΓT,ω) is actually a term of this sum with l = 0. Hence, withdrawing ΓT from the sum as it does not depend on l, one can get:
|  | (7) | 
Within the scope of our experiment (R = 0.37 Å for the hydrogen molecule, Q < 2 Å−1) we generally have QR < 0.74 and in the first series we can neglect all terms higher than the 3rd order, as  . The last sum equals unity as
. The last sum equals unity as  for any value of the variable x.28 Finally, we obtain:
 for any value of the variable x.28 Finally, we obtain:
|  | (8) | 
By substituting eqn (8) into eqn (1), adding a background term and regrouping elements we end up with the ultimate fitting expression for our quasi-elastic spectra:
|  | (9) | 
Here, S0(Q) = I0·SDW(Q) is an overall intensity factor, which accounts for signal loss/gain due to vibrations (Debye–Waller factor SDW(Q)) and due to hydrogen desorption/adsorption (scaling factor I0).
![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) :
:![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 1 mixture of phosphoric acid (H3PO4 85%) and glycerol, using a Pt counter electrode. The electrolysis lasted 2 hours at 4 V on one side of the crystal for the nuclear reaction analysis, 4 hours at 4 V on one side for XPS and 4 hours at 3 V on each side for neutron experiments.
1 mixture of phosphoric acid (H3PO4 85%) and glycerol, using a Pt counter electrode. The electrolysis lasted 2 hours at 4 V on one side of the crystal for the nuclear reaction analysis, 4 hours at 4 V on one side for XPS and 4 hours at 3 V on each side for neutron experiments.
        The structure of MoS2 shown in Fig. 5 and 12 was plotted using the VESTA 3 software.29
| 15N + 1H → 12C + α + γ, | 
Considering the first question, one can imagine three hydrogen containing species that can be present in significant concentrations after the electrolytical loading: hydrogen atoms, hydrogen molecules and water. To distinguish between them, we have performed a test experiment with a sample as received and a sample that was exposed to pure water without electrolysis. In these cases, we also obtained a surface peak at the start of the experiment, but no diffusion into the bulk over time. Therefore, we can conclude that water may contribute significantly to the surface signal, but does not penetrate across the basal planes into the bulk in a significant amount. The hydrogen containing species that are found in the bulk of the sample after electrochemical loading are, hence, hydrogen atoms or hydrogen molecules. The concentration scale, in general, is not fully applicable to the surface peak due to several reasons, namely, hydrogen multilayer formation, surface contaminations and failure of the thick target approximation.33 The first is not expected in the current experiment, however, light organic contaminations and only partial validity of the thick target approximation renders the concentration scale, to some extent, overestimated. Nevertheless, it is still possible to extract some information from the decay of the surface peak over time: We have demonstrated above, that only hydrogen molecules or hydrogen atoms diffuse into the bulk. This migration must lead to a loss in intensity of the hydrogen surface peak. Simultaneously, a gain in intensity may be observed due to a possible water adsorption from the atmosphere at ambient air conditions. Since during the ageing process the surface peak area decreased approximately by half, we conclude that several hours after loading process at least half of surface and subsurface hydrogen is in form of atomic and molecular hydrogen.
Now, we will try to analyse the diffusion in some more detail. The above considerations about the limited usability of the concentration scale in application to the surface peak concern mostly the depth profile up to ≈15 nm. Therefore the data beyond 15 nm can be used to extract some quantitative results. Fitting the data for the freshly loaded sample to the solution of Fick's second law of diffusion in the form of a Gaussian yields an order of magnitude for the diffusion coefficient D⊥ of 10−21 m2 s−1. Thus, the observed diffusion is extremely slow. However, even such a slow diffusion would result in almost uniform hydrogen concentration across the bulk after a 4 weeks ageing period, which is clearly observed in the data.
The XPS data contain also carbon and oxygen lines. Both elements are likely to be adsorbed from the atmosphere in various forms. Prior measurements utilising deuterium induced gamma emission (DIGE) at RUBION, Bochum, Germany, showed a bulk oxygen content at a level of 0.5 at%. Hence, oxygen should mostly be located in the surface or subsurface region. The interpretation of the O 1s line requires a careful analysis: molybdenum oxides are expected to create an XPS signal around 530 eV42,43 and, thus, are not observed in this study. The other oxygen containing species that are expected in our samples are adsorbed water and organic molecules containing oxygen also in the form of –CO and –CO2. The binding energies of oxygen in these compounds are very similar and, therefore, cannot be resolved within the O 1s line. However, since the area under the peaks is proportional to the amount of corresponding C and O atoms in a sample, in first order approximation, some information can be drawn from the behaviour of the C and O lines under temperature treatment. If every oxygen atom was bound to carbon, then the desorption picture, i.e. the loss of area under a peak, would be the same for both the O 1s line and the peaks corresponding to –CO and –CO2. In our case no simple correlation can be established. Therefore it can be concluded that a significant amount of the observed oxygen is bound in water. As we have shown in the NRA study, however, this water has to be in the surface or subsurface regions. Additional XPS measurements of two MoS2 single crystals loaded with hydrogen under the same conditions and heated to 500 K ex situ showed a great difference between the areas of the corresponding O 1s lines. Given a very small measuring spot size, the most probable cause of this effect is water agglomeration within volume defects. In this case, the amount of oxygen seen in the XPS experiment would depend on whether the incoming X-ray beams hit the water agglomerate or not. The O 1s line splitting that appears at 500 K indicates that a large fraction of the water molecules transfer from a strongly adsorbed state to almost free H2O molecules at this temperature.44,45
To conclude, the XPS study shows that chemisorbed hydrogen shows a thermally activated mobility in MoS2 when the temperature of the sample is raised to 400 K or above. This leads to a chemical transformation of the sample as reduction and oxidation of MoS2 can be observed. Strongly adsorbed water is also present to some extent in the surface or subsurface region up to elevated temperatures and becomes free at 500 K.
Now we turn to the in-plane data at various temperatures. Below 200 K any hydrogen motion appeared to be too slow to fit into the spectroscopic window of the instrument, thus yielding no detectable quasi-elastic broadening (Fig. 6a). At 200 K a clearly visible difference between the data and a resolution function occurs, however it is still too small to allow meaningful quantitative fits. A major gain in quasi-elastic signal takes place when heating the sample up to 300 K, and already at this temperature the QENS broadening exhibits clear signs of two different types of motion being present in the sample (Fig. 6b). Taking into account their dependence on the Q vector, which will be discussed later, we interpret these two modes preliminarily as translational and rotational diffusion of hydrogen. The assignment of these modes to specific hydrogen containing species, i.e., hydrogen atoms, hydrogen molecules or water, is difficult. The NRA experiments demonstrate that water does not penetrate into the sample volume and that at least half of the hydrogen is in the form of atoms and molecules. The XPS measurements also show that water changes its binding energy only just below 500 K. Since in the QENS data no radical alterations are observed when heating from 400 to 500 K and since the neutron signal comes from the whole sample simultaneously, we conclude that water may not play a major role in the QENS signal. Now we consider if we can distinguish between the mobility of H2 and H. Obviously, hydrogen molecules may exhibit both translational and rotational diffusion, whereas atoms are expected to show mostly translational motion with only some degree of frustrated rotational modes. In addition, the XPS experiment indicates that H atoms start moving at ≈400 K, whereas in the QENS data a quasi-elastic broadening can already be observed at room temperature. This signal does not change qualitatively at elevated temperatures, so we conclude that most of the signal in the QENS experiment is caused by H2 mobility.
In view of these considerations the whole set of data at temperatures higher than 200 K was treated by means of the rotational–translational model described in the Theory section above (eqn (9)). However, several spectra at low and high Q were not used in further analysis as the lack of data points in the QENS region (Fig. 2) made the corresponding analysis statistically unstable.
Based on a χ2 analysis and on the behaviour of the residuals function (difference between observed and calculated points weighted for statistical errors) we conclude that our model is sufficient for the description of the data and no extra fitting parameters are required. The χ2 values of the treated data set are distributed around 0.5 with a standard deviation of 0.1. The residuals functions for all spectra exhibit no systematic deviations from zero. The resulting fitting parameters are summarised in Table 1.
 and residence time between jumps τ were estimated with the help of several models: Chudley–Elliot (CE), Singwi–Sjölander (SS) and Hall–Ross (HR) model. The subscripts denote, which model was applied for the corresponding numbers
 and residence time between jumps τ were estimated with the help of several models: Chudley–Elliot (CE), Singwi–Sjölander (SS) and Hall–Ross (HR) model. The subscripts denote, which model was applied for the corresponding numbers
		| T, K | 〈u2〉, Å2 | τ rot, ps | r c, Å | d CE, Å | d SS, Å | d HR, Å | τ CE, ps | τ SS, ps | τ HR, ps | 
|---|---|---|---|---|---|---|---|---|---|
| 300 | 0.23 (1) | 2.1 (4) | 0.68 (2) | 2.8 (2) | 0.20 (1) | ||||
| 400 | 0.40 (1) | 2.1 (3) | 0.63 (1) | 2.1 (2) | 2.6 (6) | 2.2 (2) | 0.29 (3) | 0.19 (3) | 0.26 (2) | 
| 500 | 0.51 (1) | 1.5 (3) | 0.74 (1) | 2.3 (2) | 2.9 (6) | 2.5 (2) | 0.32 (2) | 0.22 (3) | 0.29 (2) | 
| 300* | 0.32 (1) | 1.7 (5) | 0.71 (3) | 1.9 (7) | 2.4 (16) | 2.1 (7) | 0.21 (8) | 0.15 (6) | 0.20 (5) | 
In the following we discuss the parameters of hydrogen diffusion in MoS2 obtained by fitting eqn (9) to the data. The change in the overall intensity S0(Q) at different temperatures that is shown in Fig. 7a reveals that a significant fraction of hydrogen was desorbed during the first heating from 300 to 400 K (of the order of 50%) and then from 400 to 500 K (an additional 10–20%). This desorption happened rather fast during the heating and temperature equilibration phases and did not impact the QENS profile. The hydrogen was not re-adsorbed upon cooling back to 300 K because the sample holder was not tightly closed and the environment around the sample holder was at low pressure during experiments. In the XPS data only minor changes are spotted during heating from room temperature to 400 K. Therefore, the desorbed species are interpreted as surface hydrogen molecules or water, which do not significantly impact on the chemistry and are, thus, not observable in the XPS study. The Q dependence of S0(Q) allows us to estimate the level of hydrogen vibrations 〈u2〉. The calculated values are moderate for the whole range of temperatures (Table 1).
The factor Sel, displayed in Fig. 7b, shows the ratio of the scattering intensity off the immobile hydrogen and the host material, to the total scattering intensity Sel = (IimH + IMoS2)/(ItotalH + IMoS2). The term “immobile” refers rather to atoms or molecules, whose movement is very slow and falls into the energy window of the resolution function, than to completely stationary particles. Although the incoherent scattering cross section of MoS2 is very small as compared to hydrogen, it still may contribute to the Sel factor due to a larger number of scatterers, and thus it is taken into account in the further considerations. Hence, the decrease of Sel with temperature indicates that a part of the immobile hydrogen either becomes mobile, i.e., becomes sufficiently fast to enter the spectroscopic window of the spectrometer, and thus contributes to 1 − Sel, or desorbs. Both room temperature runs, before and after heating to 500 K, give almost identical values of Sel. As no significant changes of Sel are observed between the two room temperature runs, it can be concluded that the balance between mobile H2 and H atoms that are immobile at room temperature is preserved, which is in line with the above observations of H and H2 desorption at elevated temperatures. During heating from 300 to 400 K the Sel factor drops and then remains similar upon heating to 500 K, indicating that heating from to 400 to 500 K does not induce any additional hydrogen to become mobile.
The decay of A0(Q) with Q (Fig. 8a) shows the presence of a certain confinement effect beyond the natural confinement of the rotational diffusion. The approximation of A0(Q) with a model of a diffusion confined in a sphere gives a good fit with a radius of confinement rc ≈ 0.7 Å. This length may indicate that hydrogen molecules are, to some extent, caged by four neighbouring sulphur atoms (the corresponding distance calculated on the basis of the MoS2 structure is around 0.6 Å). In order to better understand the confinement effect two further EISF models were tested, namely, jump reorientations between two and three equivalent sites, respectively, equally spaced on a circle.2 The fits of these models are of the same quality as for a spherical confinement model and yield a circle radius of around 0.6 Å, very close to what was obtained with the previous model. This result is not surprising as for such a small confining length all the sensitive information should be contained in a high Q region, which could not be assessed in the current experiment. We would like to stress that the presence of this additional confinement length, in addition to the radius of the hydrogen molecule, does not exclude the existence of long range diffusion, and can be interpreted by a motion in a confined space, occurring between long jumps. For all three models extrapolations of the fit functions to Q = 0 Å−1 yield values slightly higher than 1, despite the fact that the expected value is less or equal to unity. This is an indication of the existence of various hydrogen containing species inside the sample. Indeed, if slow motion of atomic hydrogen falls into the energy window of the rotational mode of H2, i.e. very close to the resolution function, it would increase the A0(Q) factor since the observed area of the rotational peak increases (see eqn (9)). As expected the effect is minor as it is caused by the presence of atomic hydrogen. The characteristic time of rotation τrot, as theoretically expected, does not depend on the momentum transfer Q (Fig. 8b).
|  | ||
| Fig. 8 Diffusion parameters of hydrogen in MoS2 single crystals at various temperature. The asterisk represents second heating run. (a) A0(Q) factor and its approximation using a model of translational diffusion confined within an impermeable sphere (eqn (4)). (b) Characteristic time of rotational diffusion τrot. | ||
The part of the quasi-elastic broadening that is caused by translational diffusion of molecular hydrogen exhibits a typical behaviour for a jump-diffusion process (Fig. 9) following a DQ2 law at low values of momentum transfer and reaching a plateau at high Q.2 As was observed earlier,46 diffusion models with a continuous distribution of jump lengths, like the Singwi–Sjölander47 (SS) and the Hall–Ross48 (HR) model, are well suited for treating such cases. Both were tested in this work, together with a general discrete-jump-diffusion model by Chudley and Elliot49 (CE). The Singwi–Sjölander and Hall–Ross models consider different distributions of jump distances. The Singwi–Sjölander assumes an exponentially decaying distribution
| ρ(r) = r/r02·exp−r/r0, | (10) | 
|  | (11) | 
The Chudley–Elliot model, on the other hand, considers jump diffusion between periodic discrete jump sites. In the case of a Bravais lattice, the half-width-at-half-maximum (HWHM) of a translational Lorentzian can be derived from the following general expression:
|  | (12) | 
At this point we should recall the geometry of the experiment. The in-plane set-up implies that a momentum transfer vector Q is almost parallel to the basal planes of the MoS2 single crystals, i.e., Q‖ ≫ Q⊥. The SS and HR models assume isotropic diffusion, which implies that only the magnitude of the momentum transfer vector is relevant and the geometry of the experiment is insignificant. However, the CE model requires an averaging over all possible directions of Q, which in our case requires an averaging over Q‖. By substituting the pyramid jump array into (eqn (12)) and averaging over Q‖ one gets an expression for the width of the translational broadening as displayed in the table below (see Appendix A for details).
Here, D is the diffusion coefficient, τ is the residence time between jumps and J0(x) is a zeroth order Bessel function of the first kind. The mean squared jump length and the diffusion coefficient are related by the Einstein equation2 . The projection of Q in the current experiment can be evaluated as Q‖ = Q·sin(ϕ + arcsin(Qλ/4π)).
. The projection of Q in the current experiment can be evaluated as Q‖ = Q·sin(ϕ + arcsin(Qλ/4π)).
All three models describe most of the data equally well (in terms of a χ2 test). However, the Singwi–Sjölander and Hall–Ross models did not succeed in treating the data obtained during the first 300 K run. The calculated jump distances  and residence times τ are listed in Table 1. The first room temperature scan indicates a faster diffusion than all the others. This is probably due to the weakly bound surface hydrogen and/or water, which can be expected to exhibit faster motion and which desorbs at higher temperatures. Therefore, it would be appropriate to exclude the 300 K results for the first temperature run from further consideration. That being so, one can note a slight, but consistent correlation of the jump distance with temperature, which holds for every model. An averaged value of the jump length for all temperatures and models is 2.3 Å. This value may be compared to certain characteristic distances in the MoS2 structure and to the confinement length rc, that was obtained from the A0(Q) factor. The most important distances in the MoS2 structure are the minimum distance between the surfaces of two neighbouring S atoms of 1.1 Å and a unit cell parameter of 3.15 Å. The obtained jump distance lies between those two values. The characteristic confinement length of about 1.4 Å appears to be smaller than the calculated average jump distance, therefore the observed jumps happen between neighbouring confinement regions and not within them. It is also important to note that this jump distance is much less than the 6.15 Å interval between two layers of MoS2. Therefore, what is observed in the QENS experiment is likely a movement completely restricted by the MoS2 layers, rather than a diffusion through the hexagonal wells.
 and residence times τ are listed in Table 1. The first room temperature scan indicates a faster diffusion than all the others. This is probably due to the weakly bound surface hydrogen and/or water, which can be expected to exhibit faster motion and which desorbs at higher temperatures. Therefore, it would be appropriate to exclude the 300 K results for the first temperature run from further consideration. That being so, one can note a slight, but consistent correlation of the jump distance with temperature, which holds for every model. An averaged value of the jump length for all temperatures and models is 2.3 Å. This value may be compared to certain characteristic distances in the MoS2 structure and to the confinement length rc, that was obtained from the A0(Q) factor. The most important distances in the MoS2 structure are the minimum distance between the surfaces of two neighbouring S atoms of 1.1 Å and a unit cell parameter of 3.15 Å. The obtained jump distance lies between those two values. The characteristic confinement length of about 1.4 Å appears to be smaller than the calculated average jump distance, therefore the observed jumps happen between neighbouring confinement regions and not within them. It is also important to note that this jump distance is much less than the 6.15 Å interval between two layers of MoS2. Therefore, what is observed in the QENS experiment is likely a movement completely restricted by the MoS2 layers, rather than a diffusion through the hexagonal wells.
Since molybdenum sulphide is a promising catalyst for the hydrogen evolution reaction (HER), we would like to compare the parameters of hydrogen molecule diffusion in MoS2 to the currently most active catalyst, platinum. Unfortunately spectroscopic information about hydrogen diffusion on Pt is only available for hydrogen atoms. It was obtained by Graham et al.50 for a (111) surface of Pt by means of quasi-elastic helium atom scattering. We also add to the comparison the diffusion of hydrogen molecules on exfoliated graphite, studied by Bahn et al.46 with quasi-elastic neutron scattering. Exfoliated graphite has not shown any significant activity in the HER reaction4 but its layered structure is similar to MoS2, hence it can be used as a reference non catalytic material. An Arrhenius plot of the temperature dependence of the diffusion coefficients of these three materials is displayed in Fig. 10. The diffusion coefficient for platinum was extracted via the Chudley–Elliot model, whereas the data for MoS2 were averaged between the three models studied in this work (Table 2). The 300 K results from the first run were not used for this evaluation also because it was not possible to average over the models. The data for exfoliated graphite were extracted using the Singwi–Sjölander model. Interestingly, the diffusion coefficient of hydrogen atoms on Pt extrapolates quite well to the diffusion coefficient that was observed in the present study for hydrogen molecules at high temperatures. The diffusion coefficient of hydrogen on graphite, on the other hand, is substantially higher than the diffusion coefficient of hydrogen on MoS2 if extrapolated to a similar temperature. We also note that the activation barrier, EB, for the hydrogen molecule diffusion in MoS2 appears to be very small as indicated by the small inclination of the Arrhenius plot. In fact, EB appears to be similar to the activation barrier in graphite. However, we are unable to assert this finding with confidence and do not want to give a value here, since the number of temperatures that we were able to measure was limited and the error bars of the diffusion coefficients are quite significant.
|  | ||
| Fig. 10 Comparison of diffusion coefficients calculated in the current work for hydrogen molecules on MoS2 (red circles) with the results obtained earlier for hydrogen atoms on platinum50 (blue line) and hydrogen molecules on exfoliated graphite46 (black triangles). Lines are calculated based on the activation energies and D0 factors stated in the corresponding papers. Vertical lines for Pt show the range of measured temperatures. The diffusion coefficient at room temperature shown here for MoS2 represents the second run. | ||
| T, K | D CE × 10−8, m2 s−1 | D SS × 10−8, m2 s−1 | D HR × 10−8, m2 s−1 | 〈D〉 × 10−8, m2 s−1 | 
|---|---|---|---|---|
| 300 | 2.8 ± 1.5 | 6.4 ± 5.0 | 3.6 ± 1.6 | 4.3 ± 2.7 | 
| 400 | 2.5 ± 0.3 | 5.8 ± 1.5 | 3.2 ± 0.4 | 3.8 ± 0.8 | 
| 500 | 2.7 ± 0.2 | 6.3 ± 1.5 | 3.5 ± 0.4 | 4.2 ± 0.7 | 
 on average.51 We note, that rotational diffusion will not be visible at the low Q measured by our NSE measurement, since the intensity of the rotational diffusion vanishes at small Q.25
 on average.51 We note, that rotational diffusion will not be visible at the low Q measured by our NSE measurement, since the intensity of the rotational diffusion vanishes at small Q.25
        First of all, the nuclear reaction analysis has shown clear signs that hydrogen is able to penetrate the layered structure of MoS2 and migrate from the surface to the bulk across the basal planes of this layered material, though rather slowly with a diffusion coefficient of the order of 10−21 m2 s−1. The NRA and XPS data also showed that water does not penetrate into the bulk, but can be found adsorbed at the surface or subsurface layer. The QENS study showed a clear translational and rotational diffusion of hydrogen molecules and only a negligible contribution of hydrogen atom diffusion within the spectroscopic window of the present experiments. The low Q data from NSE spectroscopy demonstrated that the hydrogen diffusion between 300 and 600 K is limited to a motion constrained between the layers of MoS2. The QENS data could be fitted by models that consider a jump diffusion of rotating hydrogen molecules, that remain in a limited space of a dimension of about 1.4 Å between jumps. The calculated jump distance is of the order of 2.5 Å, supporting the idea that the diffusion observed here comes from hydrogen enclosed between the layers.
The calculated diffusion coefficients of hydrogen molecules in molybdenum disulphide were compared to the ones of hydrogen atoms in a catalytic platinum and of hydrogen molecules in non-catalytic exfoliated graphite. According to the Arrhenius plot (Fig. 10) the diffusion rate of H2 in MoS2 at room temperature or above is similar to the diffusion coefficient expected for hydrogen atoms on Pt at the same temperatures. This could have interesting technical implications even though the diffusion mechanisms are likely to be very different for hydrogen molecules and atoms. The Arrhenius plot indicates a significantly lower diffusivity for H2 in MoS2 than for hydrogen molecules in exfoliated graphite, however it also suggest a low activation barrier, which would be in accordance with the two-dimensional nature of the MoS2 samples.
|  | (13) | 
Substituting this jump array into eqn (13) one gets:
|  | (14) | 
Setting a geometry of an experiment such that a momentum transfer vector Q is very close to the basal plane of the pyramid XY, i.e. θ ≈ π/2, allows to rewrite eqn (14) explicitly:
|  | (15) | 
![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) cos(θ)) ≈ 1 depends not only on θ, but also on lc. It remains valid even for smaller θ if lc ≪ l and fails if lc ≫ l. In the latter case the lc containing cosine should be directly calculated.
cos(θ)) ≈ 1 depends not only on θ, but also on lc. It remains valid even for smaller θ if lc ≪ l and fails if lc ≫ l. In the latter case the lc containing cosine should be directly calculated.
          In the case of an oriented polycrystalline sample, i.e. a set of single crystals whose basal planes are aligned, but may be rotated with respect to each other, the model requires further averaging over all the possible directions of Q‖, i.e. over ϕ:
|  | (16) | 
|  | (17) | 
This is the final expression for an in-plane jump diffusion over a hexagonal array of jump sites with a unique jump distance l and residence time τ.
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