No retraction, correction or concern found when last checked on Oct 18, 2026.
Water desalination with a single-layer MoS2 nanopore
Mohammad Heiranian, Amir Barati Farimani, Narayana R. Aluru
Nature Communications · 2015 · CC BY
Abstract
Efficient desalination of water continues to be a problem facing the society. Advances in nanotechnology have led to the development of a variety of nanoporous membranes for water purification. Here we show, by performing molecular dynamics simulations, that a nanopore in a single-layer molybdenum disulfide can effectively reject ions and allow transport of water at a high rate. More than 88% of ions are rejected by membranes having pore areas ranging from 20 to 60 Å 2 . Water flux is found to be two to five orders of magnitude greater than that of other known nanoporous membranes. Pore chemistry is shown to play a significant role in modulating the water flux. Pores with only molybdenum atoms on their edges lead to higher fluxes, which are ∼70% greater than that of graphene nanopores. These observations are explained by permeation coefficients, energy barriers, water density and velocity distributions in the pores.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 18, 2026. Paragraph numbers are ours, so an answer can point at one.
Producing fresh water is currently a great challenge facing the society. High capital costs and low efficiency of current desalination technology motivate the need for advances in desalination technology. Approximately, half of the current desalination plants use reverse osmosis (RO) technologies. RO based on traditional polymeric membranes faces several challenges including slow water transport. Advances in nanotechnology open up opportunities to design energy-efficient membranes for water desalination. Nanopores with diameters ranging from a few Angstroms to several nanometres can be drilled in membranes to fabricate molecular sieves. As the diameter of the nanopore approaches the size of the hydrated ions, various types of ions can be rejected by nanoporous membranes promising efficient water desalination. Among nanoscale materials, graphene and carbon nanotubes were extensively studied for both water transport and desalination. Graphene, a single-atom-thick membrane (0.34 nm) was demonstrated to have several orders of magnitude higher flux rates compared with conventional zeolite membranes. Since water flux through a membrane scales inversely with the membrane's thickness, graphene is attractive over most other materials due to its single-atom thickness.
It has been shown that chemical functionalization of a graphene nanopore (for example, adding hydroxyl groups) can enhance its permeability, but reduces desalination efficiency. Hydroxyl groups provide hydrophilic sites at the edge of the pore, which give rise to the attraction of water molecules and enhanced flux due to denser packing of water inside the pore. Adding precise functional groups to the edge of nanopores requires complex fabrication; therefore, identifying a single-atom-thick membrane with hydrophilic sites can lead to further advances in water desalination technology.
Recently, a nanopore in a single-layer molybdenum disulfide (MoS2) has been investigated for DNA sequencing and has been shown to provide better results compared with graphene nanopores. Compared with graphene, a MoS2 single layer has two types of atoms, that is, molybdenum (Mo) and sulfur (S). A single-layer MoS2 has a thickness of ∼1.0 nm (ref. ) and is a mechanically strong material with an effective Young's modulus of 270±100 GPa, that is comparable to that of steel. The possibility to craft the pore edge with Mo, S or both provides flexibility to design the nanopore with desired functionality. Recently, it has been shown that a nozzle-like structure of protein channels and other nanoscale membranes enhances water permeation. The fish-bone structure of MoS2 makes it amenable for a nozzle-like sub-nanometer pore for fast water permeation.
Although theoretical studies of membrane efficiency are important in desalination technology, there are other aspects concerning fabrication and manufacturability of membranes such as large-area synthesis with defect-free, well-defined sealed membranes and precise pore generation that need to be addressed. Using a highly focused electron beam, and transmission electron microscope, versatile nanopores with diameters ranging from 1 to 10 nm were sculpted successfully in MoS2 membranes. Waduge et al. reported that a large-area, well-sealed membrane with nanopores as tiny as 2.8 nm can be fabricated. Compared with graphene, the contamination of these membranes can be lower as carbon atoms in graphene are more susceptible to contamination during chemical vapour deposition (CVD) growth. Feng et al. also achieved high-quality scalable fabrication of nanopores in a single-layer MoS2 with sub-nanometre precision using electrochemical reaction. Several other studies have been performed on the synthesis of large-area MoS2 monolayers. Recently, a few groups have successfully used CVD to produce highly crystalline MoS2 of centimetre dimensions. In another study, a refined CVD method was proposed to create high-quality monolayer MoS2 crystals in which the grain boundaries of MoS2 were faceted more strongly than that of graphene resulting in mechanically more stable MoS2 monolayers. Membrane sealing also plays an essential role in the synthesis of large-area membranes required in desalination. Waduge et al. showed that their CVD approach resulted in almost fully sealed MoS2 membranes. Combination of these results and the recent focus on a single-layer MoS2 fabrication is promising for the large-scale manufacturing of a single-layer MoS2.
Here we demonstrate that a single-layer MoS2 can effectively separate ions from water. Using molecular dynamics simulations, we investigate water desalination in MoS2 as a function of pore size, chemistry, geometry and applied hydrostatic pressure.
Water fluxes
A typical simulation box consists of a single-layer MoS2, a graphene sheet (acting as a rigid piston to apply the external pressure), water and ions (Fig. 1a). Here three pore edge types for MoS2 are considered to study the effect of terminating atoms and pore chemistry on the rate of water permeation and ion rejection. The first type of pore, which is labelled as mixed in this study, is a combination of molybdenum and sulfur atoms. The other two pore types are labelled as Mo only and S only, as these are terminated by molybdenum and sulfur atoms, respectively (Fig. 1b). Water fluxes through various MoS2 nanopores as a function of the applied pressure gradient are presented in Fig. 2a. Three MoS2 pore types (mixed, Mo only and S only) were studied to explore their rejection rate and flux. To investigate the relative performance of MoS2 over other two-dimensional materials, a graphene nanopore, which has been shown to be promising for water desalination, is also considered. For the sake of comparison, the three MoS2 pores and the graphene pore have approximately equivalent accessible pore areas (mixed, A=55.45 Å2; Mo only, A=56.42 Å2; S only, A=57.38 Å2; and graphene, A=59.67Å2). Our results indicate that the Mo only pore has the highest rate of water permeation followed by the mixed, S only and the graphene pore for all the applied pressures (Fig. 2a). Water flux through the mixed pore is intermediary between Mo only and S only nanopores. The higher water fluxes through MoS2 nanopores compared with graphene nanopores imply that for a desired water flux, a smaller applied pressure is needed with MoS2 nanopores. Later, in this paper, we will explain the physical chemistry and geometrical foundations of MoS2 pore that give rise to a higher flux.
Salt rejection efficiency
The other important aspect in water desalination is the ability of the membrane to reject ions. The percentage of total ions rejected by the MoS2 and graphene pores is plotted as a function of the applied pressure in Fig. 2b. The rejection is calculated after 1,700 water molecules have filtered through the pores for all pressures. Pore sizes ranging from 20 to 60 Å2 are considered for the three types of MoS2 pores. The ion rejection decreases at higher pressures as high pressures induce higher forces on the ions giving rise to more ion translocation events. The ion rejection of small pores (for example, 18.02 Å2) is found to be 100% for all types of pores. For larger pore sizes, ions escape through the pore reducing the rejection efficiency. For the pores with equivalent areas (mixed, A=55.45 Å2; Mo only, A=56.42 Å2; S only, A=57.38 Å2; and graphene, A=59.67 Å2), the general trend for ion rejection is quite similar regardless of the type of the pore (Fig. 2b). In other words, ion rejection is mainly dependent on the pore area and the type of the pore plays a less important role, for example, for the four pores considered, the difference in rejection is <10% even at a high pressure of 350 MPa.
As shown in Fig. 2c, the water filtration rate increases sharply as the pore area increases from ∼20 to ∼50 Å2. The sharp change in the water flow rate is due to the formation of single-file chain of water in small pores (∼20 Å2). As shown in ref., the water flow rate is considerably reduced because of the weak hydrogen bonding in single-file chains. For efficient water desalination, pore sizes should be chosen such that both the ion rejection and water filtration rate are optimized since very small pores lack high permeation rates and large pores (wider than 60 Å2) fail to effectively reject ions.
As observed by Cohen-Tangui et al. for graphene, the polarizability of water also has a little effect on ion rejection in MoS2 nanopores. To introduce the effect of polarization, the flexible simple point charge (SPC/F) model was used. The ion rejection percentages associated with the flexible water model are within 2% of those modelled with the SPC/E water.
Permeation coefficient
To quantify the water permeability through various pores, we compute the permeability coefficient, p, across the pore. For dilute solutions,
where Jw is the flux of water (# ns−1), Vw is the molar volume of water (18.91 ml mol−1), ΔCs is the concentration gradient of the solute (1.0 M), NA is the Avogadro number, kB is the Boltzmann constant, T is the temperature (300 K) and ΔP is the applied hydrodynamic pressure (MPa). The permeability coefficients of the mixed, Mo only, S only and graphene pores were calculated to be 71.64, 83.61, 62.69 and 59.32 # ns−1, respectively. These coefficients are expected to also hold true for small applied pressures (<10 MPa), which are normally used in water desalination, since the relationship between the external pressure and the rate of water permeation is observed to be quite linear (Fig. 2a). Previous studies also show that water flux in small nanochannels is linear with respect to external pressure. The permeation rates through various pores (Mo only>mixed>S only>graphene) can also be explained by the energy barrier that a water molecule needs to overcome to enter the pore. These barriers were computed to be ΔEMo only=8.50 kBT, ΔEmixed=8.84 kBT, ΔES only=9.01 kBT, ΔEgraphene=11.05 kBT, which are consistent with the results in Fig. 2a. The details on the energy barrier calculations are documented in Supplementary Fig. 1.
Physical chemistry and geometry of the pore
Water flux (Q) is a function of density (ρ) inside the pore, velocity (V) of water through the pore and the area of the pore (A), (Q=ρ·V·A). In water desalination, increasing the area of the pore limits the salt rejection capability of the pore. As the area of the pore increases, the efficiency of rejection decreases, leaving ρ and V as the control parameters to increase water flux through the pore.
As shown above, Mo only pore exhibits the highest rate of water permeation. This can be explained by the higher water density (ρ) and velocity (V) in the Mo only pore compared with those of the S only and mixed pores (Fig. 3a–c). The average density of water follows the order of Mo only>mixed>S only (1.47, 1.37 and 1.31 g cm−3, respectively). The denser packing of water molecules at the Mo only pore can be attributed to the hydrophilic nature of Mo sites at the edge of the nanopore, which attracts water molecules to the pore interior. It has been shown that the molybdenum surface has a water contact angle close to 0° (molybdenum is a transition metal with a large atomic diameter). Attraction of water molecules towards Mo sites becomes more obvious by comparing the mixed and S only pores densities (Fig. 3a). In the mixed pore, the existence of 50% Mo sites gives rise to higher density in the centre of the pore compared with that of S only pore (Fig. 3a).
Next, we explored the velocity profiles in the pore for all the three different pores. The velocities are also higher in Mo only pores compared with mixed and S only pores (Fig. 3c). The average velocity of water is 8.26, 7.53 and 7.51 m s−1 for Mo only, mixed and S only pores, respectively.
To shed deeper insight into the physical understanding of why the velocity of Mo only pore is higher compared with mixed and S only pores, we computed velocity profiles at the sites of S and Mo for both pore types of Mo only and S only (Fig. 4a,b). This is achieved by binning both pore types at Mo and S sites and averaging velocity at each point for a large number of sets of simulations. We observed that in the Mo only pore, the velocity is higher at Mo site compared with the S sites. Unlike Mo only pore, we did not observe the velocities to be higher in Mo site in the S only pore, (Fig. 4a,b) which implies that the arrangement of Mo and S sites matter for velocity profiles (see Supplementary Fig. 2 for more evidence on geometry dependency of the velocity in the pore).
It has been shown that conical nanopores have higher fluxes and permeation rates. Many biological nanopores, including aquaporin, have an hourglass shape, which facilitates rapid water permeation. Solid-state nanopores have also been designed for conical/hourglass shape to enhance solute and DNA transport. Here in Mo only pores, due to the fish-bone structure of MoS2 (ref. ), the pore can be tailored to an hourglass shape at sub-nanometre length scale (see cartoon representation of comparison between Mo only, S only and graphene pores in Fig. 4c). Mo only pore has a contraction centre with hydrophobic S sites at the entrance and S only pore has an expanding centre (Fig. 4c). Graphene has a flat entrance and exit geometry with a single-atom-type exposure at the pore surface. Water molecules slip on the hydrophobic edges of S and are attracted by the hydrophilic sites of Mo at the pore centre in Mo only case. This arrangement of hydrophobic and hydrophilic atoms along with the conical shape of the pore enhances the flux of water. Also, the water flux highly correlates with the energy barrier of each pore type. The computed potential of mean force for water molecules in each pore type is the reflection of pore chemistry and geometry. In Mo only pore, the potential of mean force is the lowest because of the conical/hourglass and the hydrophobic–hydrophilic arrangement of the pore atoms (Supplementary Fig. 1). The fundamental advantage of Mo only pore architecture over other pores is the interplay of geometry and chemistry to produce a higher flux of water.
Discussion
Ion rejection and water flux are the two important factors defining the effectiveness and performance of a water desalination membrane. In Fig. 4d, ion rejection and water permeation rate are plotted for various nanomembrane materials (MFI-type zeolite, commercial polymeric seawater RO, brackish RO, nanofiltration and high-flux RO) including MoS2 and graphene investigated in this work. As shown in Fig. 4d, water permeation rate is theoretically enhanced by five orders of magnitude using MoS2 compared with conventional MFI-type zeolite. Also, there is a 70% improvement in the permeation rate of MoS2 compared with graphene. In the study by Cohen-Tanugi et al., the permeation rate for graphene is shown to be higher than the rate we observed for graphene. This is because, in our simulations, the porosity (the ratio of the pore area to the membrane area) is smaller, which decreases the permeation rate per unit area of the membrane. In this work, the comparison of MoS2 and graphene is performed by keeping all conditions identical in the simulations. Thus, MoS2 is potentially an efficient membrane for water desalination.
We have also investigated the potential performance of other transition metal dichalcogenide (MoSe2, MoTe2, WS2, WSe2 and so on) membranes. It was found that the transition metal atom plays a more important role than the chalcogen atom in desalination. More specifically, varying the Lennard-Jones (LJ) parameters of the chalcogen atom does not lead to a significant change in the ion rejection and water permeation (Supplementary Fig. 3).
In conclusion, we have shown that MoS2 membranes are promising for water purification and salt rejection. Mo only pores perform the best among all possible MoS2 pore architectures. MoS2 nanopores with water accessible pore areas ranging from 20 to 60 Å2 strongly reject ions allowing <12% of the ions (depending on pore areas) to pass through the porous membranes even at theoretically high pressures of 350 MPa. The water permeation rates associated with these MoS2 porous membranes are found to be two to five orders of magnitude greater than that of currently used membrane materials (MFI-type zeolite, commercial polymeric seawater RO, brackish RO, nanofiltration and high-flux RO) and 70% better than the graphene nanopore. The fish-bone, hourglass architecture of Mo only pore with special arrangement of hydrophobic edges and hydrophilic centre within 1-nm length enhances water permeation to a large extent compared with its other counterparts.
Methods
Molecular dynamics (MD) simulations were performed using the LAMMPS package. The graphene sheet, which acts as a rigid piston to exert external pressure on saline water, along with the MoS2 sheet, water molecules and ions were created by the Visual Molecular Dynamics. The saline water box was placed between the graphene and MoS2 sheet and pure water was added on the other side of the MoS2 sheet as shown in Fig. 1. A nanopore was drilled in MoS2 by removing the desired atoms. The accessible pore areas considered range from 20 to 60 Å2 (Supplementary Fig. 4 for details on pore area calculations). The system dimensions are 4 × 4 × 13 nm in x, y and z, respectively. The box contains ∼16,000 atoms and the ions (sodium and chloride) have a molarity of ∼1.0, which is higher than the usual salinity of seawater (0.599 M) because of the computational cost associated with low-salinity solutions.
The extended simple point charge water model was used and the SHAKE algorithm was employed to maintain the rigidity of the water molecule. For non-bonded interactions, the mixing rule was used to obtain the LJ parameters except for carbon–water interactions, which were modelled by the force-field parameters given in ref.. The LJ parameters are tabulated in Supplementary Table 1. The LJ cutoff distance was 12 Å. The long-range electrostatic interactions were calculated by the Particle Particle Particle Mesh. Periodic boundary conditions were applied in all the three directions.
For each simulation, first, the energy of the system was minimized for 10,000 steps. Next, the system was equilibrated in constant number of particles, pressure and temperature (NPT) ensemble for 1 ns at a pressure of 1 atm and a temperature of 300 K. Graphene and MoS2 atoms were held fixed in space during equilibration and the NPT simulations allow water to reach its equilibrium density (1 g cm−3). Then, an additional constant number of particles, volume and temperature (NVT) simulation was performed for 2 ns to further equilibrate the system. Temperature was maintained at 300 K using the Nosé-Hoover thermostat with a time constant of 0.1 ps (refs, ). Finally, the production non-equilibrium simulations were carried out in NVT ensemble for 10 ns where different external pressures were applied on the rigid graphene sheet (no longer frozen in space) to characterize the water filtration through the MoS2 nanopores (Supplementary Movie 1). In the production runs, the MoS2 atoms were again held fixed in space to study solely the water transport and ion rejection properties of MoS2. To accelerate the MD simulations and gather enough statistics in the 10-ns simulations, high external pressures ranging from 50 to 350 MPa were considered in this work. Trajectories of atoms were collected every picosecond to obtain the results. For accurate velocity calculations, however, the trajectories were dumped every femtosecond and the data were averaged over 25 sets of simulations with different initial thermal velocity distributions.
Additional information
How to cite this article: Heiranian, M. et al. Water desalination with a single-layer MoS2 nanopore. Nat. Commun. 6:8616 doi: 10.1038/ncomms9616 (2015).
References 58
- 1.
Elimelech M. & Phillip W. A. The future of seawater desalination: energy, technology, and the environment. Science 333, 712–717 (2011 ).
Not in our library10.1126/science.1200488
- 2.
Zhao S. F., Zou L., Tang C. Y. Y. & Mulcahy D. Recent developments in forward osmosis: opportunities and challenges. J. Membr. Sci. 396, 1–21 (2012 ).
Not in our library
- 3.
Shannon M. A.. Science and technology for water purification in the coming decades. Nature 452, 301–310 (2008 ).
Not in our library10.1038/nature06599
- 4.
Fritzmann C., Lowenberg J., Wintgens T. & Melin T. State-of-the-art of reverse osmosis desalination. Desalination 216, 1–76 (2007 ).
Not in our library
- 5.
Khawaji A. D., Kutubkhanah I. K. & Wie J. M. Advances in seawater desalination technologies. Desalination 221, 47–69 (2008 ).
Not in our library
- 6.
Humplik T.. Nanostructured materials for water desalination. Nanotechnology 22, 292001 (2011 ).
Not in our library10.1088/0957-4484/22/29/292001
- 7.
Geise G. M.. Water purification by membranes: the role of polymer science. J. Polym. Sci. B Polym. Phys. 48, 1685–1718 (2010 ).
Not in our library
- 8.
Lee K. P., Arnot T. C. & Mattia D. A review of reverse osmosis membrane materials for desalination-development to date and future potential. J. Membr. Sci. 370, 1–22 (2011 ).
Not in our library
- 9.
Liu K., Feng J. D., Kis A. & Radenovic A. Atomically thin molybdenum disulfide nanopores with high sensitivity for DNA translocation. ACS Nano 8, 2504–2511 (2014 ).
Not in our library10.1021/nn406102h
- 10.
Fornasiero F.. Ion exclusion by sub-2-nm carbon nanotube pores. Proc. Natl Acad. Sci. USA 105, 17250–17255 (2008 ).
Not in our library10.1073/pnas.0710437105
- 11.
Suk M. E. & Aluru N. R. Water transport through ultrathin graphene. J. Phys. Chem. Lett. 1, 1590–1594 (2010 ).
Not in our library
- 12.
O'Hern S. C.. Selective molecular transport through intrinsic defects in a single layer of CVD graphene. ACS Nano 6, 10130–10138 (2012 ).
Not in our library10.1021/nn303869m
- 13.
Zhao Y. D.. Two-dimensional material membranes: an emerging platform for controllable mass transport applications. Small 10, 4521–4542 (2014 ).
Not in our library10.1002/smll.201401549
- 14.
Zhang D. S.. Enhanced capacitive deionization performance of graphene/carbon nanotube composites. J. Mater. Chem. 22, 14696–14704 (2012 ).
Not in our library
- 15.
Mishra A. K. & Ramaprabhu S. Functionalized graphene sheets for arsenic removal and desalination of sea water. Desalination 282, 39–45 (2011 ).
Not in our library
- 16.
Celebi K.. Ultimate permeation across atomically thin porous graphene. Science 344, 289–292 (2014 ).
Not in our library10.1126/science.1249097
- 17.
Joseph S. & Aluru N. R. Why are carbon nanotubes fast transporters of water? Nano Lett. 8, 452–458 (2008 ).
Not in our library10.1021/nl072385q
- 18.
Suk M. E., Raghunathan A. V. & Aluru N. R. Fast reverse osmosis using boron nitride and carbon nanotubes. Appl. Phys. Lett. 92, 133120 (2008 ).
Not in our library
- 19.
Cohen-Tanugi D. & Grossman J. C. Water desalination across nanoporous graphene. Nano Lett. 12, 3602–3608 (2012 ).
Not in our library10.1021/nl3012853
- 20.
Sint K., Wang B. & Kral P. Selective ion passage through functionalized graphene nanopores. J. Am. Chem. Soc. 130, 16448–16449 (2008 ).
Not in our library10.1021/ja804409f
- 21.
Tang Q., Zhou Z. & Chen Z. F. Graphene-related nanomaterials: tuning properties by functionalization. Nanoscale 5, 4541–4583 (2013 ).
Not in our library10.1039/c3nr33218g
- 22.
Farimani A. B., Min K. & Aluru N. R. DNA base detection using a single-layer MoS2. ACS Nano 8, 7914–7922 (2014 ).
Not in our library10.1021/nn5029295
- 23.
Radisavljevic B., Radenovic A., Brivio J., Giacometti V. & Kis A. Single-layer MoS2 transistors. Nat. Nanotechnol. 6, 147–150 (2011 ).
Not in our library10.1038/nnano.2010.279
- 24.
Bertolazzi S., Brivio J. & Kis A. Stretching and breaking of ultrathin MoS2. ACS Nano 5, 9703–9709 (2011 ).
Not in our library10.1021/nn203879f
- 25.
Gravelle S.. Optimizing water permeability through the hourglass shape of aquaporins. Proc. Natl Acad. Sci. USA 110, 16367–16372 (2013 ).
Not in our library10.1073/pnas.1306447110
- 26.
Waduge P.. Direct and scalable deposition of atomically thin low-noise MoS2 membranes on apertures. ACS Nano 9, 7352–7359 (2015 ).
Not in our library10.1021/acsnano.5b02369
- 27.
Feng J.. Electrochemical reaction in single layer MoS2: nanopores opened atom by atom. Nano Lett. 15, 3431–3438 (2015 ).
Not in our library10.1021/acs.nanolett.5b00768
- 28.
Lee Y. H.. Synthesis of large-area MoS2 atomic layers with chemical vapor deposition. Adv. Mater. 24, 2320–2325 (2012 ).
Not in our library10.1002/adma.201104798
- 29.
Dumcenco D.. Large-area epitaxial monolayer MoS2. ACS Nano 9, 4611–4620 (2015 ).
Not in our library10.1021/acsnano.5b01281
- 30.
Coleman J. N.. Two-dimensional nanosheets produced by liquid exfoliation of layered materials. Science 331, 568–571 (2011 ).
Not in our library10.1126/science.1194975
- 31.
Smith R. J.. Large-scale exfoliation of inorganic layered compounds in aqueous surfactant solutions. Adv. Mater. 23, 3944–3948 (2011 ).
Not in our library10.1002/adma.201102584
- 32.
Liu K. K.. Growth of large-area and highly crystalline MoS2 thin layers on insulating substrates. Nano Lett. 12, 1538–1544 (2012 ).
Not in our library10.1021/nl2043612
- 33.
Zhan Y. J., Liu Z., Najmaei S., Ajayan P. M. & Lou J. Large-area vapor-phase growth and characterization of MoS2 atomic layers on a SiO2 substrate. Small 8, 966–971 (2012 ).
Not in our library10.1002/smll.201102654
- 34.
Jeon J.. Layer-controlled CVD growth of large-area two-dimensional MoS2 films. Nanoscale 7, 1688–1695 (2015 ).
Not in our library10.1039/c4nr04532g
- 35.
Mann J.. 2-dimensional transition metal dichalcogenides with tunable direct band gaps: MoS2(1-x)Se2x monolayers. Adv. Mater. 26, 1399–1404 (2014 ).
Not in our library10.1002/adma.201304389
- 36.
van der Zande A. M.. Grains and grain boundaries in highly crystalline monolayer molybdenum disulphide. Nat. Mater. 12, 554–561 (2013 ).
Not in our library10.1038/nmat3633
- 37.
Yu Y. F.. Controlled scalable synthesis of uniform, high-quality monolayer and few-layer MoS2 films. Sci. Rep. 3, 6 (2013 ).
Not in our library10.1038/srep01866
- 38.
Mizan T. I., Savage P. E. & Ziff R. M. Molecular-dynamics of supercritical water using a flexible spc model. J. Phys. Chem. 98, 13067–13076 (1994 ).
Not in our library
- 39.
Rosenberg P. A. & Finkelstein A. Water permeability of gramicidin-a-treated lipid bilayer membranes. J. Gen. Physiol. 72, 341–350 (1978 ).
Not in our library10.1085/jgp.72.3.341
- 40.
Suk M. E. & Aluru N. R. Effect of induced electric field on single-file reverse osmosis. Phys. Chem. Chem. Phys. 11, 8614–8619 (2009 ).
Not in our library10.1039/b903541a
- 41.
Zhu F. Q., Tajkhorshid E. & Schulten K. Pressure-induced water transport in membrane channels studied by molecular dynamics. Biophys. J. 83, 154–160 (2002 ).
Not in our library10.1016/s0006-3495(02)75157-6
- 42.
Liu Y. H.. The preparation of a strawberry-like super-hydrophilic surface on the molybdenum substrate. Colloid Surf. A 404, 52–55 (2012 ).
Not in our library
- 43.
Gravelle S., Joly L., Ybert C. & Bocquet L. Large permeabilities of hourglass nanopores: from hydrodynamics to single file transport. J. Chem. Phys. 141, 18C526 (2014 ).
Not in our library10.1063/1.4897253
- 44.
Bocquet L. & Tabeling P. Physics and technological aspects of nanofluidics. Lab Chip 14, 3143–3158 (2014 ).
Not in our library10.1039/c4lc00325j
- 45.
Farimani A. B., Aluru N. R. & Tajkhorshid E. Thermodynamic insight into spontaneous hydration and rapid water permeation in aquaporins. Appl. Phys. Lett. 105, 83702–83702 (2014 ).
Not in our library10.1063/1.4893782
- 46.
Jung J. S., Preston G. M., Smith B. L., Guggino W. B. & Agre P. Molecular-structure of the water channel through aquaporin chip - the hourglass model. J. Biol. Chem. 269, 14648–14654 (1994 ).
Not in our library
- 47.
Hou X., Guo W. & Jiang L. Biomimetic smart nanopores and nanochannels. Chem. Soc. Rev. 40, 2385–2401 (2011 ).
Not in our library10.1039/c0cs00053a
- 48.
Dekker C. Solid-state nanopores. Nat. Nanotechnol. 2, 209–215 (2007 ).
Not in our library10.1038/nnano.2007.27
- 49.
Heins E. A., Siwy Z. S., Baker L. A. & Martin C. R. Detecting single porphyrin molecules in a conically shaped synthetic nanopore. Nano Lett. 5, 1824–1829 (2005 ).
Not in our library10.1021/nl050925i
- 50.
Wu Y. B. & Aluru N. R. Graphitic carbon-water nonbonded interaction parameters. J. Phys. Chem. B 117, 8802–8813 (2013 ).
Not in our library10.1021/jp402051t
- 51.
Pendergast M. M. & Hoek E. M. V. A review of water treatment membrane nanotechnologies. Energy Environ. Sci. 4, 1946–1971 (2011 ).
Not in our library
- 52.
Li L. X., Dong J. H., Nenoff T. M. & Lee R. Desalination by reverse osmosis using MFI zeolite membranes. J. Membr. Sci. 243, 401–404 (2004 ).
Not in our library
- 53.
Guillen G. & Hoek E. M. V. Modeling the impacts of feed spacer geometry on reverse osmosis and nanofiltration processes. Chem. Eng. J. 149, 221–231 (2009 ).
Not in our library
- 54.
Plimpton S. Fast parallel algorithms for short-range molecular-dynamics. J. Comput. Phys. 117, 1–19 (1995 ).
Not in our library
- 55.
Humphrey W., Dalke A. & Schulten K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996 ).
Not in our library10.1016/0263-7855(96)00018-5
- 56.
Hockney R. W. & Eastwood J. W. Computer Simulation Using Particles Taylor & Francis, Inc. (1988 ).
Not in our library
- 57.
Nosé S. A unified formulation of the constant temperature molecular-dynamics methods. J. Chem. Phys. 81, 511–519 (1984 ).
Not in our library
- 58.
Hoover W. G. Canonical dynamics-equilibrium phase-space distributions. Phys. Rev. A 31, 1695–1697 (1985 ).
Not in our library10.1103/physreva.31.1695
Cited by papers we hold 5
- Cooperative and inhibitory ion transport in functionalized angstrom-scale two-dimensional channels · 2025Not checked
- Electroosmosis in nanopores: computational methods and technological applications · 2022Not checked
- High permeability sub-nanometre sieve composite MoS2 membranes · 2020Not checked
- New development of atomic layer deposition: processes, methods and applications · 2019No notice
- Ultrafast ion sieving using nanoporous polymeric membranes · 2018No notice
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.