93 research outputs found
Screened extended Koopmans' theorem: photoemission at weak and strong correlation
By introducing electron screening in the extended Koopmans' theorem we
correctly describe the band gap opening in weakly as well as strongly
correlated systems. We show this by applying our method to bulk LiH, Si, and
paramagnetic as well as antiferromagnetic NiO. Although incorrect features
remain in the full photoemission spectra, this is a remarkable result for an
ab-initio electronic structure method and it opens the way to a unified
description of photoemission spectra at weak and strong correlation
First-principles analysis of the intermediate band in CuGa1-xFexS2
We present a comprehensive study of the electronic, magnetic, and optical properties of CuGa1-xFexS2, as a promising candidate for intermediate-band (IB) solar cells. We use hybrid exchange-correlation functional within the density functional theory framework, and show that Fe doping induces unoccupied states 1.6-1.9 eV above the valence band. The IBs significantly enhance the optical absorption in lower energy part of the spectrum. We find that at moderate n-type co-doping concentration, the added charge occupies part of the IB in the gap, but large concentrations lower the energy of the occupied IB toward the valence band. Moreover, we show that Fe impurities tend to cluster within the compound and they choose antiferromagnetic ordering. The findings can have a significant effect in understanding this material and help to synthesize more efficient IB solar cells.Peer reviewe
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Properties of Ni-Al under shock loading
New models for the dynamic response of materials will be based increasingly on better understanding and representation of processes occurring at the microstructural level. These developments require advances in diagnostics and models which can be applied explicitly to microstructural response. Various phenomena occur at the microstructural level which are generally ignored or averaged out in continuum-level models. One example of such 'irregular hydrodynamics' is the roughness imparted to a shock wave as it propagates through a polycrystalline material. We have developed imaging techniques to study spatial variations in shock propagation through polycrystalline materials. In order to interpret spatially-resolved data from polycrystal samples, we need to compare with simulations which represent the microstructure. Here we describe work undertaken to develop a model of the dynamic response of individual grains. The material chosen was Ni-Al alloy, because it exhibits a relatively large degree of elastic anisotropy, and it is relatively easy to manufacture
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Enhanced sensitivity for hyperspectral infrared chemical detection
The sensitivity of imaging, hyperspectral, passive remote sensors in the long-wavelength infrared (LWIR) spectral region is currently limited by the ability to achieve an accurate, time-invariant, pixel-to-pixel calibration of the elements composing the Focal Plane Array (FPA). Pursuing conventional techniques to improve the accuracy of the calibration will always be limited by the trade-off between the time required to collect calibration data of improved precision and the drift in the pixel response that occurs on a timescale comparable to the calibration time. This paper will present the results from a study of a method to circumvent these problems. Improvements in detection capability can be realized by applying a quick, repetitive dither of the field of view (FOV) of the imager (by a small angular amount), so that radiance/spectral differences between individual target areas can be measured by a single FPA pixel. By performing this difference measurement repetitively both residual differences in the pixel-to-pixel calibration and l/f detector drift noise can effectively be eliminated. In addition, variations in the atmosphere and target scene caused by the motion of the sensor platform will cause signal drifts that this technique would be able to remove. This method allows improvements in sensitivity that could potentially scale as the square root of the observation time
Stand Out in Class: restructuring theclassroom environment to reducesedentary behaviour in 9–10-year-olds—study protocol for a pilot clusterrandomised controlled trial
Background: Sedentary behaviour (sitting) is a highly prevalent negative health behaviour, with individuals of allages exposed to environments that promote prolonged sitting. Excessive sedentary behaviour adversely affects health inchildren and adults. As sedentary behaviour tracks from childhood into adulthood, the reduction of sedentary time inyoung people is key for the prevention of chronic diseases that result from excessive sitting in later life. The sedentaryschool classroom represents an ideal setting for environmentalchange, through the provision of sit-stand desks. Whilstthe use of sit-stand desks in classrooms demonstrates positiveeffects in some key outcomes, evidence is currently limitedby small samples and/or short intervention durations, withfewstudiesadoptingrandomisedcontrolledtrial(RCT)designs. This paper describes the protocol of a pilot cluster RCT of a sit-stand desk interventioninprimaryschoolclassrooms.Methods/Design:A two-arm pilot cluster RCT will be conducted in eight primary schools (four intervention, four control)with at least 120 year 5 children (aged 9–10 years). Sit-stand desks will replace six standard desks in the interventionclassrooms. Teachers will be encouraged to ensure all pupils are exposed to the sit-stand desks for at least 1 h/dayon average using a rotation system. Schools assigned to the control arm will continue with their usual practice, noenvironmental changes will be made to their classrooms. Measurements will be taken at baseline, beforerandomisation, and at the end of the schools’academic year. In this study, the primary outcomes of interest will beschool and participant recruitment and attrition, acceptability of the intervention, and acceptability and complianceto the proposed outcome measures (including activPAL-measured school-time and school-day sitting, accelerometer-measured physical activity, adiposity, blood pressure, cognitive function, academic progress, engagement, andbehaviour) for inclusion in a definitive trial. A full process evaluation and an exploratory economic evaluation willalso be conducted to further inform a definitive tria
The Virtual-Spine Platform—Acquiring, visualizing, and analyzing individual sitting behavior
Back pain is a serious medical problem especially for those people sitting over long periods during their daily work. Here we present a system to help users monitoring and examining their sitting behavior. The Virtual-Spine Platform (VSP) is an integrated system consisting of a real-time body position monitoring module and a data visualization module to provide individualized, immediate, and accurate sitting behavior support. It provides a comprehensive spine movement analysis as well as accumulated data visualization to demonstrate behavior patterns within a certain period. The two modules are discussed in detail focusing on the design of the VSP system with adequate capacity for continuous monitoring and a web-based interactive data analysis method to visualize and compare the sitting behavior of different persons. The data was collected in an experiment with a small group of subjects. Using this method, the behavior of five subjects was evaluated over a working day, enabling inferences and suggestions for sitting improvements. The results from the accumulated data module were used to elucidate the basic function of body position recognition of the VSP. Finally, an expert user study was conducted to evaluate VSP and support future developments
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