First-principles methodology for quantum transport in multiterminal junctions

We present a generalized approach for computing electron conductance and I-V characteristics in multiterminal junctions from first-principles. Within the framework of Keldysh theory, electron transmission is evaluated employing an O(N) method for electronic-structure calculations. The nonequilibrium Green function for the nonequilibrium electron density of the multiterminal junction is computed self-consistently by solving Poisson equation after applying a realistic bias. We illustrate the suitability of the method on two examples of four-terminal systems, a radialene molecule connected to carbon chains and two crossed carbon chains brought together closer and closer. We describe charge density, potential profile, and transmission of electrons between any two terminals. Finally, we discuss the applicability of this technique to study complex electronic devices.Comment: Will be coming out in JCP soo

Quantum-interference-controlled three-terminal molecular transistors based on a single ring-shaped-molecule connected to graphene nanoribbon electrodes

We study all-carbon-hydrogen molecular transistors where zigzag graphene nanoribbons play the role of three metallic electrodes connected to a ring-shaped 18-annulene molecule. Using the nonequilibrium Green function formalism combined with density functional theory, recently extended to multiterminal devices, we show that the proposed nanostructures exhibit exponentially small transmission when the source and drain electrodes are attached in a configuration that ensures destructive interference of electron paths around the ring. The third electrode, functioning either as an attached infinite-impedance voltage probe or as an "air-bridge" top gate covering half of molecular ring, introduces dephasing that brings the transistor into the "on" state with its transmission in the latter case approaching the maximum limit for a single conducting channel device. The current through the latter device can also be controlled in the far-from-equilibrium regime by applying a gate voltage.Comment: 5 pages, 4 color figures, PDFLaTeX, slightly expanded version of the published PRL articl

The growth of birdwings

Growth and order allometry is defined and applied to the growth of bird effects of negative wing allometry discussed with regard to body size and flight power. Transposition and evolutionary significance are explained

Efficient C-Phase gate for single-spin qubits in quantum dots

Two-qubit interactions are at the heart of quantum information processing. For single-spin qubits in semiconductor quantum dots, the exchange gate has always been considered the natural two-qubit gate. The recent integration of magnetic field or g-factor gradients in coupled quantum dot systems allows for a one-step, robust realization of the controlled phase (C-Phase) gate instead. We analyze the C-Phase gate durations and fidelities that can be obtained under realistic conditions, including the effects of charge and nuclear field fluctuations, and find gate error probabilities of below 10-4, possibly allowing fault-tolerant quantum computation.Comment: 5 pages, 3 figure

The Importance of Effective Working Relationships Between Sales and Marketing

© Oxford University Press 2011. All rights reserved. This article examines the importance of effective working relationships between sales and marketing. It provides a framework for analysis and discussion concerning this important organizational relationship. It reviews current thinking on sales-marketing cross-functional relationships, identifies gaps in academic literature, and discusses a range of controllable and uncontrollable factors that may influence this interface. Many organizations are unsure how to manage the sales-marketing cross-functional relationship. The few empirical studies published to date examine the contextual conditions under which such relationships are enacted, e.g., the level of functional interdependence, power relations, and cultural differences. This article discusses the main types of variable that influence the effectiveness of such relationships. These include organizational structure variables, the types of interaction and communication prevalent in the cross-functional relationship, and key variables such as interpersonal trust

Comparison of different exoplanet mass detection limit methods using a sample of main-sequence intermediate-type stars

The radial velocity (RV) technique is a powerful tool for detecting extrasolar planets and deriving mass detection limits that are useful for constraining planet pulsations and formation models. Detection limit methods must take into account the temporal distribution of power of various origins in the stellar signal. These methods must also be able to be applied to large samples of stellar RV time series We describe new methods for providing detection limits. We compute the detection limits for a sample of ten main sequence stars, which are of G-F-A type, in general active, and/or with detected planets, and various properties. We use them to compare the performances of these methods with those of two other methods used in the litterature. We obtained detection limits in the 2-1000 day period range for ten stars. Two of the proposed methods, based on the correlation between periodograms and the power in the periodogram of the RV time series in specific period ranges, are robust and represent a significant improvement compared to a method based on the root mean square of the RV signal. We conclude that two of the new methods (correlation-based method and local power analysis, i.e. LPA, method) provide robust detection limits, which are better than those provided by methods that do not take into account the temporal sampling.Comment: 18 pages, 15 figures Accepted in Astronomy & Astrophysic

Graphene Ripples as a Realization of a Two-Dimensional Ising Model: A Scanning Tunneling Microscope Study

Ripples in pristine freestanding graphene naturally orient themselves in an array that is alternately curved-up and curved-down; maintaining an average height of zero. Using scanning tunneling microscopy (STM) to apply a local force, the graphene sheet will reversibly rise and fall in height until the height reaches 60-70 percent of its maximum at which point a sudden, permanent jump occurs. We successfully model the ripples as a spin-half Ising magnetic system, where the height of the graphene is the spin. The permanent jump in height, controlled by the tunneling current, is found to be equivalent to an antiferromagnetic-to-ferromagnetic phase transition. The thermal load underneath the STM tip alters the local tension and is identified as the responsible mechanism for the phase transition. Four universal critical exponents are measured from our STM data, and the model provides insight into the statistical role of graphenes unusual negative thermal expansion coefficient.Comment: 12 pages, 5 figures, 1 tabl

Detection of single electron spin resonance in a double quantum dot

Spin-dependent transport measurements through a double quantum dot are a valuable tool for detecting both the coherent evolution of the spin state of a single electron as well as the hybridization of two-electron spin states. In this paper, we discuss a model that describes the transport cycle in this regime, including the effects of an oscillating magnetic field (causing electron spin resonance) and the effective nuclear fields on the spin states in the two dots. We numerically calculate the current flow due to the induced spin flips via electron spin resonance and we study the detector efficiency for a range of parameters. The experimental data are compared with the model and we find a reasonable agreement.Comment: 7 pages, 5 figures. To be published in Journal of Applied Physics, proceedings ICPS 200

Interface tactile pour la saisie guidée de connaissances

International audienceIn recent years, artificial intelligence tools have democratized and are increasingly used by people who are not experts in the field. These artificial intelligence tools, like rule-based or constraint-based systems require the input of human expertise to replicate the desired reasoning. Despite the explosion of new devices and new input paradigms, such as tablets and other touch interfaces, it seems that the usability of these tools have not taken advantage of these recent advances. In this article, we illustrate our concept with the rule edition in a fuzzy expert system. The special feature of fuzzy logic is that these rules look closer to natural language than classical logic. We present our work that involves the use of new touch interfaces to edit a fuzzy rule base with one finger. We end this section by the evaluation of the interface with a user panel.Au cours de ces dernières années, les outils d'intelligence artificielle se sont démocratisés et sont de plus en plus sou-vent utilisés par des personnes qui ne sont pas expertes du domaine. Parmi ces outils d'intelligence artificielle, les systèmes à base de règles ou de contraintes nécessitent la saisie de l'expertise humaine afin de reproduire le comporte-ment souhaité. Malgré l'explosion des nouveaux périphé-riques et de nouveaux paradigmes de saisie, comme les tablettes et autres interfaces tactiles, l'ergonomie de ces outils semble ne pas avoir profité de toutes ces avancées récentes. Dans cet article, nous prenons l'exemple d'un système expert flou pour lequel il faut rédiger des règles. La particu-larité de la logique floue est que ces règles sont construites d'une manière plus proche du langage naturel qu'en lo-gique classique. Nous présentons notre travail qui consiste en l'exploitation des nouvelles interfaces tactiles afin de rédiger une base de règles floues avec un seul doigt. Nous terminons cet article par l'évaluation de l'interface auprès d'un panel d'utilisateurs

Age-related functional reorganization, structural changes, and preserved cognition.

Although healthy aging is associated with general cognitive decline, there is considerable variability in the extent to which cognitive functions decline or are preserved. Preserved cognitive function in the context of age-related neuroanatomical and functional changes, has been attributed to compensatory mechanisms. However, the existing sparse evidence is largely focused on functions associated with the frontal cortex, leaving open the question of how wider age-related brain changes relate to compensation. We evaluated relationships between age-related neural and functional changes in the context of preserved cognitive function by combining measures of structure, function, and cognitive performance during spoken language comprehension using a paradigm that does not involve an explicit task. We used a graph theoretical approach to derive cognitive activation-related functional magnetic resonance imaging networks. Correlating network properties with age, neuroanatomical variations, and behavioral data, we found that decreased gray matter integrity was associated with decreased connectivity within key language regions but increased overall functional connectivity. However, this network reorganization was less efficient, suggesting that engagement of a more distributed network in aging might be triggered by reduced connectivity within specialized networks