8,656 research outputs found
Networking chemical robots for reaction multitasking
The development of the internet of things has led to an explosion in the number of networked devices capable of control and computing. However, whilst common place in remote sensing, these approaches have not impacted chemistry due to difficulty in developing systems flexible enough for experimental data collection. Herein we present a simple and affordable (<$500) chemistry capable robot built with a standard set of hardware and software protocols that can be networked to coordinate many chemical experiments in real time. We demonstrate how multiple processes can be done with two internet connected robots collaboratively, exploring a set of azo-coupling reactions in a fraction of time needed for a single robot, as well as encoding and decoding information into a network of oscillating reactions. The system can also be used to assess the reproducibility of chemical reactions and discover new reaction outcomes using game playing to explore a chemical space
Atomistic study of electronic structure of PbSe nanowires
Lead Selenide (PbSe) is an attractive `IV-VI' semiconductor material to
design optical sensors, lasers and thermoelectric devices. Improved fabrication
of PbSe nanowires (NWs) enables the utilization of low dimensional quantum
effects. The effect of cross-section size (W) and channel orientation on the
bandstructure of PbSe NWs is studied using an 18 band tight-binding
theory. The bandgap increases almost with the inverse of the W for all the
orientations indicating a weak symmetry dependence. [111] and [110] NWs show
higher ballistic conductance for the conduction and valence band compared to
[100] NWs due to the significant splitting of the projected L-valleys in [100]
NWs.Comment: 4 figures, Prepared for AP
Crystal templating through liquid–liquid phase separation
Controlled induction of crystal nucleation is a highly desirable but elusive goal. Attempts to speed up crystallization, such as high super saturation or working near a liquid–liquid critical point, always led to irregular and uncontrollable crystal growth. Here, we show that under highly nonequilibrium conditions of spinodal decomposition, water crystals grow as thin wires in a template-less formation of “Haareis”. This suggests that such nonequilibrium conditions may be employed more widely as mechanisms for crystal growth control
Structure of Carbon Nanotube-dendrimer composite
Using all atomistic molecular dynamics (MD) simulations we report the
microscopic picture of the nanotube-dendrimer complex for PAMAM dendrimer of
generation 2 to 4 and carbon nanotube of chirality (6,5). We find compact
wrapping conformations of dendrimer onto the nanotube surface for all the three
generations of PAMAM dendrimer. The degree of wrapping is more for
non-protonated dendrimer compared to the protonated dendrimer. For comparison
we also study the interaction of another dendrimer, poly(propyl ether imine)
(PETIM), with nanotube and show that PAMAM dendrimer interacts strongly as
compared to PETIM dendrimer as is evident from the distance of closest approach
as well as the number of close contacts between the nanotube and dendrimer. We
also calculate the binding energy between the nanotube and the dendrimer using
MM/PBSA methods and attribute the strong binding to the charge transfer between
them. Dendrimer wrapping on CNT will make it soluble and can act as an
efficient dispersing agent for nanotube
Sensitivity of Global Modeling Initiative chemistry and transport model simulations of radon-222 and lead-210 to input meteorological data
International audienceWe have used the Global Modeling Initiative chemistry and transport model to simulate the radionuclides radon-222 and lead-210 using three different sets of input meteorological information: 1. Output from the Goddard Space Flight Center Global Modeling and Assimilation Office GEOS-STRAT assimilation; 2. Output from the Goddard Institute for Space Studies GISS II' general circulation model; and 3. Output from the National Center for Atmospheric Research MACCM3 general circulation model. We intercompare these simulations with observations to determine the variability resulting from the different meteorological data used to drive the model, and to assess the agreement of the simulations with observations at the surface and in the upper troposphere/lower stratosphere region. The observational datasets we use are primarily climatologies developed from multiple years of observations. In the upper troposphere/lower stratosphere region, climatological distributions of lead-210 were constructed from ~25 years of aircraft and balloon observations compiled into the US Environmental Measurements Laboratory RANDAB database. Taken as a whole, no simulation stands out as superior to the others. However, the simulation driven by the NCAR MACCM3 meteorological data compares better with lead-210 observations in the upper troposphere/lower stratosphere region. Comparisons of simulations made with and without convection show that the role played by convective transport and scavenging in the three simulations differs substantially. These differences may have implications for evaluation of the importance of very short-lived halogen-containing species on stratospheric halogen budgets
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