Nanoporous Si as an efficient thermoelectric material

Room-temperature thermoelectric properties of n-type crystalline Si with periodically arranged nanometer-sized pores are computed using a combination of classical molecular dynamics for lattice thermal conductivity and ab initio density functional theory for electrical conductivity, Seebeck coefficient, and electronic contribution to the thermal conductivity. The electrical conductivity is found to decrease by a factor of 2-4, depending on doping levels, compared to that of bulk due to confinement. The Seebeck coefficient S yields a 2-fold increase for carrier concentrations less than 2 x 10(19) cm(-3), above which S remains closer to the bulk value. Combining these results with our calculations of lattice thermal conductivity, we predict the figure of merit ZT to increase by 2 orders of magnitude over that of bulk. This enhancement is due to the combination of the nanometer size of pores which greatly reduces the thermal conductivity and the ordered arrangement of pores which allows for only a moderate reduction in the power factor. We find that while alignment of pores is necessary to preserve power factor values comparable to those of bulk Si, a symmetric arrangement is not required. These findings indicate that nanoporous semiconductors with aligned pores may be highly attractive materials for thermoelectric applications.     

Phase transition and compressibility in silicon nanowires

Silicon nanowires (Si NWs), one-dimensional single crystalline, have recently drawn extensive attention, thanks to their robust applications in electrical and optical devices as well as in the strengthening of diamond/SiC superhard composites. Here, we conducted high-pressure synchrotron diffraction experiments in a diamond anvil cell to study phase transitions and compressibility of Si NWs. Our results revealed that the onset pressure for the Si I-II transformation in Si NWs is approximately 2.0 GPa lower than previously determined values for bulk Si, a trend that is consistent with the analysis of misfit in strain energy. The bulk modulus of Si-I NWs derived from the pressure-volume measurements is 123 GPa, which is comparable to that of Si-V NWs but 25% larger than the reported values for bulk silicon. The reduced compressibility in Si NWs indicates that the unique wire-like structure in nanoscale plays vital roles in the elastic behavior of condensed matter.     

Ultralow loading Pt nanocatalysts prepared by atomic layer deposition on carbon aerogels

Using atomic layer deposition (ALD), we show that Pt nanoparticles can be deposited on the inner surfaces of carbon aerogels (CA). The resultant Pt-loaded materials exhibit high catalytic activity for the oxidation of CO even at loading levels as low as approximately 0.05 mg Pt/cm2. We observe a conversion efficiency of nearly 100% in the 150-250 degrees C temperatures range, and the total conversion rate seems to be limited only by the thermal stability of the CA support in ambient oxygen. The ALD approach described here is universal in nature, and can be applied to the design of new catalytic materials for a variety of applications, including fuel cells, hydrogen storage, pollution control, green chemistry, and liquid fuel production.     

Label-free impedimetric detection of glycan-lectin interactions

A compact biosensor for a label-free, rapid (<80 s) detection of glycan-lectin interactions using ac impedance measurements was developed for the first time. A galactose-binding peanut agglutinin (PNA) and sialic acid-binding Sambucus nigra agglutinin (SNA) were covalently surface-immobilized on the layered Cu/Ni/Au printed circuit board (PCB) electrodes. Samples of artificial and natural glycoconjugates consisting of (1) gold glyconanoparticles encapsulated with approximately 90-100 copies of TF-antigen disaccharide Galalpha1-3GalNAc (TF-AuNP), (2) asialofetuin (ASF) containing both LacNAc (Galbeta1-4GlcNAc) and TF-antigen, and (3) fetuin (FET), the sialylated glycoform of ASF. The samples were run separately on PNA- and SNA-immobilized PCB electrodes. Our results indicate that TF-AuNP could be rapidly and reliably detected up to 1 pg/mL (13 fM) concentration on PNA electrode but, as expected, yielded no response on the SNA electrode. ASF and FET glycocoproteins were unambiguously detectable up to 10 pg/mL (150 fM) on PNA and SNA electrodes, respectively. Moreover, the technique allowed us to observe glyco-microheterogeneity of FET as well as establish the presence of two isoforms of SNA lectin, SNA-I and SNA-II, in one of the vendor's formulations. Further elaboration of the described technology into novel electrochemically driven lectin arrays may find applications in diagnosis of cancer and other diseases with multiple glycobiomarkers or as a rapid low-cost bioanalytical tool for glycoproteome analyses.     

Anisotropic particle synthesis in dielectrophoretically controlled microdroplet reactors

The miniaturization of chemical and biological processes in microfluidic devices and bioarrays is a major technological achievement. Microchips performing multiphase material synthesis operations could be a future step in this trend of miniaturizing technology. Here we show how electrically controlled chips can be used for the synthesis and manipulation of new types of particles with advanced structure. The method is based on a technique that allows freely suspended droplets and particles to be entrapped and transported using electric fields. The fields that hold and guide the droplets and particles are applied through arrays of electrodes submerged in the oil. Each of the microdroplets suspended on the surface of fluorinated liquid serves as a microscopic reactor, where the particles are formed by solidification of the carrier droplets. Controlled on-chip assembly, drying, encapsulation and polymerization were used to make anisotropic 'eyeball' and striped particles, polymer capsules and semiconducting microbeads.     

Dynamic shadow mask technique: a universal tool for nanoscience

A comprehensive instrument, designed for fabricating nanostructures by evaporation through a dynamic shadow mask in ultrahigh vacuum, is described. The versatility and performance of the instrument is demonstrated through a series of examples, allowing for applications that are impossible to achieve with traditional nanopatterning methods. Clean nanostructures or entire devices made of different materials and on various substrates can be fabricated. The technique is compatible with fundamental surface science and can be easily interfaced with other fabrication and characterization techniques.     

Salient closed boundary extraction with ratio contour

We present ratio contour, a novel graph-based method for extracting salient closed boundaries from noisy images. This method operates on a set of boundary fragments that are produced by edge detection. Boundary extraction identifies a subset of these fragments and connects them sequentially to form a closed boundary with the largest saliency. We encode the Gestalt laws of proximity and continuity in a novel boundary-saliency measure based on the relative gap length and average curvature when connecting fragments to form a closed boundary. This new measure attempts to remove a possible bias toward short boundaries. We present a polynomial-time algorithm for finding the most-salient closed boundary. We also present supplementary preprocessing steps that facilitate the application of ratio contour to real images. We compare ratio contour to two closely related methods for extracting closed boundaries: Elder and Zucker's method based on the shortest-path algorithm and Williams and Thornber's method based on spectral analysis and a strongly-connected-components algorithm. This comparison involves both theoretic analysis and experimental evaluation on both synthesized data and real images.     

Increasing productivity through framing effects for interactive consumer choice

Framing effects have a profound impact on most areas of human psychology. These effects have been studied extensively, but have not been applied broadly to how people interact with information on the Internet. The present paper provides evidence that frames influence peoples productivity on the Internet across a variety of tasks. Experiment 1 demonstrates that satisfaction is increased by presenting information in a list for tasks that involve simple processing of information. For more complex information, hierarchical navigation was shown to increase satisfaction significantly. Experiment 2 provides evidence that abstract information, such as monetary values, must be presented in terms of concrete frames. Specifically, we demonstrate that framing discounts in terms of dollars off, instead of additional goods received, tends to be less effective given the complexity of processing abstract information. In both cases, the type of information presented affects peoples levels of satisfaction and performance.     

An Equivalent CTL Formulation for Condition Sequences

A condition system is a form of Petri net that interacts with other condition systems and the environment via state-based signals called conditions. The condition language framework has been used in previous papers to characterize the input/output behavior of such interacting systems, as well as to specify desired control behavior among other things. In this paper, we show that condition sequences (the specification) and condition systems (the model of the system) have an equivalent structure in the computation tree logic (CTL) framework. The primary goals of this work are to be able to utilize existing tools for program verification for our systems, and to make our work more accessible to the temporal logic community.     

The current state and future outlook of rescue robotics

Robotic technologies, whether they are remotely operated vehicles, autonomous agents, assistive devices, or novel control interfaces, offer many promising capabilities for deployment in real‐world environments. Postdisaster scenarios are a particularly relevant target for applying such technologies, due to the challenging conditions faced by rescue workers and the possibility to increase their efficacy while decreasing the risks they face. However, field‐deployable technologies for rescue work have requirements for robustness, speed, versatility, and ease of use that may not be matched by the state of the art in robotics research. This paper aims to survey the current state of the art in ground and aerial robots, marine and amphibious systems, and human–robot control interfaces and assess the readiness of these technologies with respect to the needs of first responders and disaster recovery efforts. We have gathered expert opinions from emergency response stakeholders and researchers who conduct field deployments with them to understand these needs, and we present this assessment as a way to guide future research toward technologies that will make an impact in real‐world disaster response and recovery.