3,856 research outputs found

    Spin dependent transport in ferromagnetic/superconductor/ferromagnetic single electron transistor

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    Ferromagnetic single electron transistors with Al islands and orthogonal ferromagnetic leads (Co) are fabricated using ebeam lithography followed by shadow evaporation techniques. I-V characteristics exhibit typical single electron tunneling effects. Transport measurements performed in external magnetic field show that, when the two ferromagnetic leads are in antiparallel configuration, spin imbalance leads to a suppression of superconductivity.Comment: 3 pages, 4 figure

    DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices

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    Deploying deep neural networks on mobile devices is a challenging task. Current model compression methods such as matrix decomposition effectively reduce the deployed model size, but still cannot satisfy real-time processing requirement. This paper first discovers that the major obstacle is the excessive execution time of non-tensor layers such as pooling and normalization without tensor-like trainable parameters. This motivates us to design a novel acceleration framework: DeepRebirth through "slimming" existing consecutive and parallel non-tensor and tensor layers. The layer slimming is executed at different substructures: (a) streamline slimming by merging the consecutive non-tensor and tensor layer vertically; (b) branch slimming by merging non-tensor and tensor branches horizontally. The proposed optimization operations significantly accelerate the model execution and also greatly reduce the run-time memory cost since the slimmed model architecture contains less hidden layers. To maximally avoid accuracy loss, the parameters in new generated layers are learned with layer-wise fine-tuning based on both theoretical analysis and empirical verification. As observed in the experiment, DeepRebirth achieves more than 3x speed-up and 2.5x run-time memory saving on GoogLeNet with only 0.4% drop of top-5 accuracy on ImageNet. Furthermore, by combining with other model compression techniques, DeepRebirth offers an average of 65ms inference time on the CPU of Samsung Galaxy S6 with 86.5% top-5 accuracy, 14% faster than SqueezeNet which only has a top-5 accuracy of 80.5%.Comment: AAAI 201

    Transport mechanisms and modeling of riser reactor

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    Riser reactors are extensively employed in various industrial applications. In a riser reactor, the hydrodynamics is closely interacted with kinetic reactions. Common models for the performance prediction of riser reactors overlook this vital coupling effect, which not only miss the important reaction characteristics in the dense-phase transport regime of riser reactors but also misinterpret the kinetic properties via ad hoc adjustments. It is noted that the modeling of hydrodynamics in riser flows has major flaws in its predictability of phase transport in both dense-phase and accelerating regimes where most reactions occur. In addition, with the spray feeding of reactants at the bottom of a riser reactor, the catalytic reaction that coherently coupled with vapor-catalyst mixing in the spray vaporization process has never been investigated. Understanding of this reaction in the spray region is important because it provides the inlet conditions of phase transport to the follow-up reactions in the riser reactor. This dissertation hence is aimed at the development of mechanism-based parametric model that yields reliable prediction in transport and reaction characteristics in general catalytic riser reactors. The dissertation consists of three integrated parts: 1) governing mechanisms and modeling of gas-solids transport in a riser, with special focuses on the solids transport in dense-phase and acceleration regimes; 2) interacting mechanisms between hydrodynamics and catalytic reactions in riser reactors, with special focuses on the modeling of the coupling of hydrodynamics with catalytic reactions and the determination of reaction properties that are independent of hydrodynamics; 3) modeling of reaction in the spray mixing and vaporization process, with special focuses on the coupling among spray evaporation, vapor-catalyst mixing and catalytic reaction. On the hydrodynamic model, we have discovered the new control mechanisms that govern the solids acceleration. Most importantly, an additional resistant force, due to inter-solids collision in the acceleration regime, must be added to the momentum equation of solids. The new developed model has successfully predicted the axial profiles of transport properties throughout the entire transport domain, including dense phase, acceleration, and dilute phase regimes. To further explore the flow heterogeneity in both radial and axial directions, an integral-differential hydrodynamics model with a general third-order polynomial across any riser cross-sections has been developed. The model not only predicts the radial and axial phase transport but also yields the much-needed information of the wall boundary layer and backflow mixing for the popular core-annulus models. On the coupling of hydrodynamics and catalytic reaction, a new correlation has been proposed to link the local reaction rate to the local transport properties (such as concentrations of catalysts and reactants, reaction temperature, and transport velocities). The resulted model not only predicts the correct reaction characteristics against the plant data but also demonstrates the feasibility of adopting the same reaction properties of the same type of catalytic reactions in different riser reactors. The coupling of hydrodynamics and catalytic reaction has also been extended to investigate the catalytic reaction in the spray region. The resulted changes in transport properties provide the inlet conditions for the follow-up reactions in the riser reactor

    Quantifying Fluid Shear Stress in a Rocking Culture Dish

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    Fluid shear stress (FSS) is an important stimulus for cell functions. Compared with the well established parallel-plate and cone-and-plate systems, a rocking “see-saw” system offers some advantages such as easy operation, low cost, and high throughput. However, the FSS spatiotemporal pattern in the system has not been quantified. In the present study, we developed a lubrication-based model to analyze the FSS distributions in a rocking rectangular culture dish. We identified an important parameter (the critical flip angle) that dictates the overall FSS behaviors and suggested the right conditions to achieving temporally oscillating and spatially relatively uniform FSS. If the maximal rocking angle is kept smaller than the critical flip angle, which is defined as the angle when the fluid free surface intersects the outer edge of the dish bottom, the dish bottom remains covered with a thin layer of culture medium. The spatial variations of the peak FSS within the central 84% and 50% dish bottom are limited to 41% and 17%, respectively. The magnitude of FSS was found to be proportional to the fluid viscosity and the maximal rocking angle, and inversely proportional to the square of the fluid depth-to-length ratio and the rocking period. For a commercial rectangular dish (length of 37.6 mm) filled with ∼2 mL culture medium, the FSS at the center of the dish bottom is expected to be on the order of 0.9 dyn/cm2 when the dish is rocked +5° at 1 cycle/s. Our analysis suggests that a rocking “see-saw” system, if controlled well, can be used as an alternative method to provide low-magnitude, dynamic FSS to cultured cells
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