E nhanced water flow through atomic smooth and hydrophobic carbon nanotubes (CNTs) have been demonstrated by both theoretical calculations and experiments. 1À5 There is, however, a great controversy between theory and experiments and even between experiments. The very limited experiments using CNTs membrane demonstrated enormous water flow velocity up to 5 orders of magnitude faster than predicted from conventional fluid-flow theory with three orders of deviation from different sources.1,2 In contrast, molecular dynamics (MD) calculation only gives a rate enhancement of 47À6500 for CNTs with diameters of 4.99À0.81 nm.3,5 One more general debate is whether there exists a clear transition from continuum to subcontinuum transport as the tube diameter shrinks to subnanometer regime. 5 The bottleneck for experimental attempts arises from fabrication of CNTs membrane with well-defined structures and the rational estimation of the available flow area.1 Here we show a single-tube level approach for elucidating such fundamental nanofluidic issues. The unique field effect transistors (FETs) array-based experimental design enables a direct measurement of water flow velocity inside individual CNTs. Our work demonstrates a rate enhancement of 51 to 882 for CNTs with diameters of 1.59 to 0.81 nm, which supports the MD calculation.3,5 Additionally, we achieved the first experimental evidence for the transition from continuum to subcontinuum flow by varying the diameters of CNTs.The key of our approach is to trace the water flow "front" inside an individual millimeter long CNT electrically with a configuration of three FETs in series (Figure 1a,b). The FET1 is used to "in-situ" open the tube end under water droplet by electrical breakdown, 6,7 and the synchronous FET2 and FET3 to detect the water front flowing in based on its influence on the current flow (Figure 2). 8,9 It should be emphasized that opening the tube end under water is a determinant factor for the success of this experimental design. A bias voltage of 0.01 V was applied on FET2 and FET3 (no gate voltage) all the time to detect current change. Simply by measuring the time delay of current signal jumps between FET2 and FET3 with a given interspacing, we can then estimate the average water flow velocity inside the nanotube. The CNT-FETs structure was constructed through directly growing ultralong CNT on SiO 2 /Si substrate with predesigned Pt-pattern (Figure 1b,c). Carbon nanotubes were synthesized by gas flow-directed chemical vapor deposition (CVD) method. 10À12 The catalysts pattern was made on growth substrate using PDMS stamp from the ethanol solution of 0.01 mol/L FeCl 3 . The typical growth conditions are 930À950°C, 3 sccm CH 4 and 5 sccm H 2 . Pt was sputtered and patterned as electrodes on SiO 2 /Si substrate by standard technique of photolithography and magnetron sputtering. The as-grown CNTs were characterized by scanning electron microscopy (SEM) followed by gold-wire wedge bonding, water filling and velocity measurement. A drop of pure water (18.2MΩ ...

Dynamic wetting and electrowetting are explored using molecular dynamics simulations. The propagation of the precursor film (PF) is fast and obeys the power law with respect to time. Against the former studies, we find the PF is no slip and solidlike. As an important application of the PF, the electro-elasto-capillarity, which is a good candidate for drug delivery at the micro- or nanoscale, is simulated and realized for the first time. Our findings may be one of the answers to the Huh-Scriven paradox and expand our knowledge of dynamic wetting and electrowetting.

The electrical resistivity of a thermoresponsive polyurethane shape-memory polymer ͑SMP͒ filled with micron sized Ni powders is investigated in this letter. We show that, by forming conductive Ni chains under a weak static magnetic field ͑0.03 T͒, the electrical conductivity of the SMP composite in the chain direction can be improved significantly, which makes it more suitable for Joule heat induced shape recovery. In addition, Ni chains reinforce the SMP significantly but their influence on the glass transition temperature is about the same as that of the randomly distributed Ni powders.

Hurricane Katrina, rated as a Category 4 hurricane on the Saffir-Simpson scale, made landfall on the U.S. Gulf Coast near New Orleans, Louisiana on Monday, August 29, 2005. The storm brought heavy winds and rain to the city, and several levees intended to protect New Orleans from the water of Lake Pontchartrain were breached. Consequently, up to 80% of the city was flooded with water reaching depths in excess of three meters in some locations. Research described in this paper was conducted to provide an initial assessment of contaminants present in floodwaters shortly after the storm and to characterize water pumped out of the city into Lake Pontchartrain once dewatering operations began several days after the storm. Data are presented which demonstrate that during the weeks following the storm, floodwater was brackish and well-buffered with very low concentrations of volatile and semivolatile organic pollutants. Dissolved oxygen was depleted in surface floodwater, averaging 1.6 mg/L in the Lakeview district and 4.8 mg/L in the Mid-City district. Dissolved oxygen was absent (< 0.02 mg/L) at the bottom of the floodwater column in the Mid-City district 9 days afterthe storm. Chemical oxygen demand (Mid-City average = 79.9 mg/L) and fecal coliform bacteria (Mid-City average = 1.4 x 10(5) MPN/100 mL) were elevated in surface floodwater but typical of stormwater runoff in the region. Lead, arsenic, and in some cases, chromium, exceeded drinking water standards but with the exception of some elevated Pb concentrations generally were typical of stormwater. Data suggest that what distinguishes Hurricane Katrina floodwater is the large volume and the human exposure to these pollutants that accompanied the flood, rather than very elevated concentrations of toxic pollutants.

For the first time, the enhanced recovery of confined methane (CH4) with carbon dioxide (CO2) is investigated through molecular dynamics simulations. The adsorption energy and configuration of CH4 and CO2 on the carbon surface were compared, which shows that CO2 is a good candidate in displacing confined CH4. The energy barrier required for displacing CH4 by CO2 injection was found to depend on the displacement angle. When CO2 approached vertically to the carbon surface, the displacement of CH4 occurred most easily. The curvature and size effects of the carbon nanopores on CH4 recovery were revealed and indicated that there exists an optimum pore size making the displacement occur most efficiently. The underlying mechanisms of these phenomena were uncovered. Our findings and related analyses may help to understand CO2 enhanced gas recovery from the atomic level and assist the future design in engineering.

A DFT/MD mutual iterative method was employed to give insights into the mechanism of voltage generation based on water-filled single-walled carbon nanotubes (SWCNTs). Our calculations showed that a constant voltage difference of several mV would generate between the two ends of a carbon nanotube, due to interactions between the water dipole chains and charge carriers in the tube. Our work validates this structure of a water-filled SWCNT as a promising candidate for a synthetic nanoscale power cell, as well as a practical nanopower harvesting device at the atomic level.

Density functional theory (DFT) calculations were employed to explore the gas-sensing mechanisms of zinc oxide (ZnO) with surface reconstruction taken into consideration. Mix-terminated (101 j 0) ZnO surfaces were examined. By simulating the adsorption process of various gases, i.e., H 2 , NH 3 , CO, and ethanol (C 2 H 5 OH) gases, on the ZnO (101 j 0) surface, the changes of configuration and electronic structure were compared. Based on these calculations, two gas-sensing mechanisms were proposed and revealed that both surface reconstruction and charge transfer result in a change of electronic conductance of ZnO. Also, the calculations were compared with existing experiments.

Dynamic wetting of a droplet on lyophilic pillars was explored using a multiscale combination method of experiments and molecular dynamics simulations. The excess lyophilic area not only provided excess driving force, but also pinned the liquid around the pillars, which kept the moving contact line in a dynamic balance state every period of the pillars. The flow pattern and the flow field of the droplet on the pillar-arrayed surface, influenced by the concerted effect of the liquid-solid interactions and the surface roughness, were revealed from the continuum to the atomic level. Then, the scaling analysis was carried out employing molecular kinetic theory. Controlled by the droplet size, the density of roughness and the pillar height, two extreme regimes were distinguished, i.e. R ∼ t 1/3 for the rough surface and R ∼ t 1/7 for the smooth surface. The scaling laws were validated by both the experiments and the simulations. Our results may help in understanding the dynamic wetting of a droplet on a pillar-arrayed lyophilic substrate and assisting the future design of pillar-arrayed lyophilic surfaces in practical applications.