Institution
Johannes Kepler University of Linz
Education•Linz, Oberösterreich, Austria•
About: Johannes Kepler University of Linz is a education organization based out in Linz, Oberösterreich, Austria. It is known for research contribution in the topics: Computer science & Thin film. The organization has 6605 authors who have published 19243 publications receiving 385667 citations.
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TL;DR: It is shown that a fuzzy probability measure is always an integral (if the space is generated) if the authors replace the operations ∧ and ∨ by the t-norm To and its dual S0 (see [6]).
82 citations
TL;DR: In this paper, the bulk electronic structure is disentangled from the two-dimensional surface electronic structure by means of surface capping, which quenches the complex surface electronic structures.
Abstract: Macroscopic ferroelectric order in alpha-GeTe with its noncentrosymmetric lattice structure leads to a giant Rashba spin splitting in the bulk bands due to strong spin-orbit interaction. Direct measurements of the bulk band structure using soft x-ray angle-resolved photoemission (ARPES) reveals the three-dimensional electronic structure with spindle torus shape. By combining high-resolution and spin-resolved ARPES as well as photoemission calculations, the bulk electronic structure is disentangled from the two-dimensional surface electronic structure by means of surface capping, which quenches the complex surface electronic structure. This unravels the bulk Rashba-split states in the ferroelectric Rashba a-GeTe(111) semiconductor exhibiting a giant spin splitting with Rashba parameter alpha(R) around 4.2 eV angstrom, the highest of so-far known materials.
82 citations
TL;DR: In this paper, the probability of the occurrence of local molecular arrangements of varying quality, which preexist by accidence in a so-called living equilibrium in the stable melt, i.e. above the equilibrium melting point, is estimated from the probability that these local arrangements are successively stabilized and serve as precursors for the start of crystallization.
Abstract: As has been shown experimentally in our laboratory, the number of athermal nuclei, as found in unnucleated quiescent melts, increases tremendously with decreasing temperatures of crystallization, down to severe degrees of undercooling. One cannot assume that the presence of heterogeneous nuclei can explain this horrible temperature dependence. Moreover, one can conclude that the number fraction of macromolecules participating in these athermal nuclei is extremely low. Macroscopically, these nuclei seem to form a number of spots in a sea of homogeneous undercooled liquid.In the present paper the proposal is made that this number can be estimated from the probability of the occurrence of local molecular arrangements of varying quality, which preexist by accidence in a so-called living equilibrium in the stable melt, i.e. above the equilibrium melting point. During a rapid quench, realistic for processing conditions, these local arrangements are successively stabilized and serve as precursors for the start of crystallization. Dependent on their quality, this stabilization occurs over a broad range of crystallization temperatures. A selection rule for their effectiveness is derived from thermodynamics. In addition, reasons are discussed for the observed strong influence of flow on the formation of nuclei. From the "short-term" creep experiments, which are successful even at low degrees of undercooling, the impression has been obtained that during flow an unimaginable long-distance mechanical interaction becomes effective between the nuclei of crystallization. However, a more convincing explanation has been found recently: it is described at the end of this paper.
82 citations
TL;DR: The results show that an active learning based selection of training samples does not weaken the classification accuracies compared to when using all samples in the training process and can out-perform classifiers which are built on randomly selected data samples.
82 citations
16 Sep 2015
TL;DR: A relationship between personality traits and the way users want to make their pictures look is suggested, which allow for new ways to extract personality traits from social media trails, andnew ways to facilitate personalized systems.
Abstract: Instagram is a popular social networking application, which allows photo-sharing and applying different photo filters to adjust the appearance of a picture. By applying photo filters, users are able to create a style that they want to express to their audience. In this study we tried to infer personality traits from the way users take pictures and apply filters to them. To investigate this relationship, we conducted an online survey where we asked participants to fill in a personality questionnaire, and grant us access to their Instagram account through the Instagram API. Among 113 participants and 22,398 extracted Instagram pictures, we found distinct picture features (e.g., hue, brightness, saturation) that are related to personality traits. Our findings suggest a relationship between personality traits and the way users want to make their pictures look. This allow for new ways to extract personality traits from social media trails, and new ways to facilitate personalized systems.
81 citations
Authors
Showing all 6718 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Wolfgang Wagner | 156 | 2342 | 123391 |
| A. Paul Alivisatos | 146 | 470 | 101741 |
| Klaus-Robert Müller | 129 | 764 | 79391 |
| Christoph J. Brabec | 120 | 896 | 68188 |
| Andreas Heinz | 108 | 1078 | 45002 |
| Niyazi Serdar Sariciftci | 99 | 591 | 54055 |
| Lars Samuelson | 96 | 850 | 36931 |
| Peter J. Oefner | 90 | 348 | 30729 |
| Dmitri V. Talapin | 90 | 303 | 39572 |
| Tomás Torres | 88 | 625 | 28223 |
| Ramesh Raskar | 86 | 670 | 30675 |
| Siegfried Bauer | 84 | 422 | 26759 |
| Alexander Eychmüller | 82 | 444 | 23688 |
| Friedrich Schneider | 82 | 554 | 27383 |
| Maksym V. Kovalenko | 81 | 360 | 34805 |