35 research outputs found

    Thermoelectric Limitations of Graphene Nanodevices at Ultrahigh Current Densities.

    Get PDF
    Graphene is atomically thin, possesses excellent thermal conductivity, and is able to withstand high current densities, making it attractive for many nanoscale applications such as field-effect transistors, interconnects, and thermal management layers. Enabling integration of graphene into such devices requires nanostructuring, which can have a drastic impact on the self-heating properties, in particular at high current densities. Here, we use a combination of scanning thermal microscopy, finite element thermal analysis, and operando scanning transmission electron microscopy techniques to observe prototype graphene devices in operation and gain a deeper understanding of the role of geometry and interfaces during high current density operation. We find that Peltier effects significantly influence the operational limit due to local electrical and thermal interfacial effects, causing asymmetric temperature distribution in the device. Thus, our results indicate that a proper understanding and design of graphene devices must include consideration of the surrounding materials, interfaces, and geometry. Leveraging these aspects provides opportunities for engineered extreme operation devices

    Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment : a review

    Get PDF
    Quantitative image analysis techniques have gained an undeniable role in several fields of research during the last decade. In the field of biological wastewater treatment (WWT) processes, several computer applications have been developed for monitoring microbial entities, either as individual cells or in different types of aggregates. New descriptors have been defined that are more reliable, objective, and useful than the subjective and time-consuming parameters classically used to monitor biological WWT processes. Examples of this application include the objective prediction of filamentous bulking, known to be one of the most problematic phenomena occurring in activated sludge technology. It also demonstrated its usefulness in classifying protozoa and metazoa populations. In high-rate anaerobic processes, based on granular sludge, aggregation times and fragmentation phenomena could be detected during critical events, e.g., toxic and organic overloads. Currently, the major efforts and needs are in the development of quantitative image analysis techniques focusing on its application coupled with stained samples, either by classical or fluorescent-based techniques. The use of quantitative morphological parameters in process control and online applications is also being investigated. This work reviews the major advances of quantitative image analysis applied to biological WWT processes.The authors acknowledge the financial support to the project PTDC/EBB-EBI/103147/2008 and the grant SFRH/BPD/48962/2008 provided by Fundacao para a Ciencia e Tecnologia (Portugal)

    Rapid Methods for Dynamic Autotuning

    No full text

    Vertical Resolution in the Confocal STEM – Present and Future

    No full text

    STEM Studies of Novel Gold Catalysts

    No full text

    Understanding Catalyst Stability through Aberration-Corrected STEM

    No full text

    Progress in aberration-corrected scanning transmission electron microscopy.

    No full text
    A new corrector of spherical aberration (C(S)) for a dedicated scanning transmission electron microscope (STEM) is described and its results are presented. The corrector uses strong octupoles and increases C(C) by only 0.2 mm relative to the uncorrected microscope. Its overall stability is greatly improved compared to our previous design. It has achieved a point-to-point resolution of 1.23 A in high-angle annular dark field images at 100 kV. It has also increased the current available in a 1.3 A-sized probe by about a factor of ten compared to existing STEMs. Its operation is greatly assisted by newly developed autotuning software which measures all the aberration coefficients up to fifth order in less than one minute. We conclude by discussing the present limits of aberration-corrected STEM, and likely future developments

    Developments in C-s-corrected STEM

    No full text
    The new corrector of spherical aberration (C-s) we have built for a Scanning Transmission Electron Microscope (STEM) is described. We have recently installed such a corrector in a dedicated 100 kV STEM at Oak Ridge National Laboratory and the first results are presented. We conclude by discussing upcoming developments

    Aberration measurement using the Ronchigram contrast transfer function.

    No full text
    The bright field contrast transfer function is one of the most useful concepts in conventional transmission electron microscopy. However, the electron Ronchigram contrast transfer function, as derived by Cowley, is inherently more complicated since it is not isoplanatic. Here, we derive a local contrast transfer function for small patches in a Ronchigram and demonstrate its utility for the direct measurement of aberrations from single Ronchigrams of an amorphous film. We describe the measurement of aberrations from both simulated and experimental images and elucidate the effects due to higher-order aberrations, separating those arising from the pre- and post-sample optics, and partial coherence

    Imaging Secondary Electron Emission from a Single Atomic Layer

    No full text
    Graphene‐based devices hold promise for a wide range of technological applications. Yet characterizing the structure and the electrical properties of a material that is only one atomic layer thick still poses technical challenges. Recent investigations indicate that secondary‐electron electron‐beam‐induced current (SE‐EBIC) imaging can reveal subtle details regarding electrical conductivity and electron transport with high spatial resolution. Here, it is shown that the SEEBIC imaging mode can be used to detect suspended single layers of graphene and distinguish between different numbers of layers. Pristine and contaminated areas of graphene are also compared to show that pristine graphene exhibits a substantially lower SE yield than contaminated regions. This SEEBIC imaging mode may provide valuable information for the engineering of surface coatings where SE yield is a priority
    corecore