Understanding Novel Superconductors with Ab Initio Calculations

This chapter gives an overview of the progress in the field of computational superconductivity. Following the MgB2 discovery (2001), there has been an impressive acceleration in the development of methods based on Density Functional Theory to compute the critical temperature and other physical properties of actual superconductors from first-principles. State-of-the-art ab-initio methods have reached predictive accuracy for conventional (phonon-mediated) superconductors, and substantial progress is being made also for unconventional superconductors. The aim of this chapter is to give an overview of the existing computational methods for superconductivity, and present selected examples of material discoveries that exemplify the main advancements.Comment: 38 pages, 10 figures, Contribution to Springer Handbook of Materials Modellin

Reassessing the effect of colour on attitude and behavioural intentions in promotional activities: The moderating role of mood and involvement

The present research examines the effect of background colour on attitude and behavioural intentions in various promotional activities taking into consideration the moderating role of mood and involvement. Three experiments reflecting different promotional activities (window display, consumer trade show, guerrilla marketing) were conducted for this purpose. Overall, findings indicate that cool background colours, in contrast to warm colours, induce more positive attitudes and behavioural intentions mainly in positive mood, and low involvement conditions. Implications are also discussed

Optimization of a self-converging algorithm at assembly level to improve SEU Fault-Tolerance

ISBN : 978-1-4244-9485-9International audienceThe robustness with respect to SEUs (Single-Event Upset) of a self-converging algorithm is improved by fault-tolerance techniques implemented at software level. SEU-sensitivity evaluation was done by fault injection campaigns performed using a devoted test platform. Experimental results show that implementing fault-tolerance by modifying the assembly code leads to significant improvements of the fault tolerance

Improving SEU Fault Tolerance Capabilities of a Self-Converging Algorithm

International audienceThe single-event upset (SEU) fault tolerance of a benchmark self-converging algorithm is evaluated by fault injection campaigns performed using a devoted test platform. The number of observed errors significantly decreases depending on adopted implementation strategies

Robustness with respect to SEUs of a self-converging algorithm

ISBN 978-1-4577-1489-4International audienceSelf-convergence is a property of distributed systems, allowing a system, when it was perturbed or badly initialised, to recover a correct operation in a finite number of calculation steps. In this paper is explored the intrinsic robustness of a self converging algorithm with respect to soft errors resulting from SEU (Single Event Upset) phenomena. This study was performed by fault injection using a devoted test platform. A self-converging benchmark program was executed by a LEON3 processor implemented in an FPGA. The low number of observed errors puts in evidence the fault tolerance of the tested algorithm