A neural computation to study the scaling capability of the undoped DG MOSFET

The DG MOSFET is one of the most promising candidates for further CMOS scaling beyond the year of 2010. It will be scaled down to various degrees upon a wide range of system/circuit requirements (such as high-performance, low standby power and low operating power). The key electrical parameter of the DG MOSFET is the subthreshold swing (S). In this paper, we present the applicability of the artificial neural network for the study of the scaling capability of the undoped DG MOSFET. The latter is based on the development of a semi-analytical model of the subthreshold swing (S) using the Finite Elements Method (FEM). Our results are discussed in order to draw some useful information about the ULSI technology

Virtual design of electrospun-like gelatin scaffolds: The effect of three-dimensional fibre orientation on elasticity behaviour

Remarkable mechanical performance of biological tissues is explained by a hierarchical fibrous structure. Designing materials that have similar properties is challenging because of the need to assess complex deformation mechanisms. In order to shed more light on architectural possibilities of biopolymer fibrous networks, we propose a numerical study that relates the fibre arrangement to the elastic modulus of a gelatin scaffold obtained using electrospinning. The adopted approach is based on the virtual designing of scaffolds using all possible combinations of Euler angles that define fibre orientations including preferable alignment. The generated networks are converted into a finite element model and the predicted elastic behaviour is examined. Predictions show that the fibre alignment achieved experimentally in biopolymer fibrous networks is for most of the fibres exhibiting an orthotropic behaviour. Some particular combinations of Euler angles allow transverse isotropic architectures while only limited cases are isotropic. A large sensitivity of Young's moduli to Euler angles is achieved describing multiple scenarios of independent anisotropic behaviours. An anisotropy ratio of the elastic behaviour is suggested based on a suitable combination of elastic moduli. Such a ratio exhibits a wide variation depending on individual and coupled effects of Euler angles. The finite element model predicts 2D, 3D and 4D maps representing all possible configurations of fibre alignment and their consequences on elastic behaviour. The predicted fibre orientation representing the observed anisotropic behaviour of electrospun gelatin networks demonstrates unbalanced contributions of in-plane and out-of plane fibres for a large range of processing conditions

Predictive analysis of combined burner parameter effects on oxy-fuel flames

International audienceThe present paper aims at studying the influence of burner parameters with a separated jet configuration, namely nozzles diameters and separation distance between the jets, on the flame characteristics (lift-off positions of flame and flame length). The experimental layout considers the use of OH-chemilumenescence to measure the flame characteristics for different combinations of processing conditions. The predictive analysis is based on a neural computation that considers the correlations between the inputs and the outputs of a combustion system using a configuration of separated jet. The predictive analysis show that a good agreement is found between numerical and experimental results in the case where the predictions are within the process window. The exploration of other process parameter combinations beyond that window gives less convincing results. This is mainly attributed to the fact that steady state characteristics are predicted numerically whereas it is expected experimentally that some of burner parameter combinations can lead to an increase of the parameters characterizing the flame

Effect of milling conditions on structure and magnetic properties of nanocrystalline cobalt

Milling process conditions are related to magnetic properties of nanocrystalline Co material. Experiments are carried out varying plateau rotation and vial velocities. Coercivity, crystallite size and percentage of the cubic phase are analyzed using a statistical methodology based on artificial neural network. Predicted results show that the combination of low plateau rotation velocity and high vial velocity can enhance the cubic phase formation and consequently the coercivit

Analysis of structure and magnetic properties of nanocrystalline milled alloys

International audienc

Penetration testing and thermal behavior of bitumen 35/50 and modified bitumen 13/40

Physical properties of pure bitumen 35/50 and polymer-modified bitumen 13/40 are studied using needle penetration test and differential scanning calorimetry (DSC). In particular, the mechanical response under indentation conditions is achieved as a function of different loads and temperatures. Our results show that lower temperature susceptibility is associated to larger loads but its change is rather small for the tested bitumens. A pure bitumen 35/50 exhibits a single glass transition temperature for different heating rate whereas modified bitumen 13/40 presents two Tg for different heating rate