Institution
University of Ljubljana
Education•Ljubljana, Slovenia•
About: University of Ljubljana is a education organization based out in Ljubljana, Slovenia. It is known for research contribution in the topics: Population & Liquid crystal. The organization has 17210 authors who have published 47013 publications receiving 1082684 citations. The organization is also known as: Univerza v Ljubljani.
Papers published on a yearly basis
Papers
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TL;DR: The existence of two superconductor packings of the same electronically active unit reveals that Tc scales universally in a structure-independent dome-like relationship with proximity to the Mott metal–insulator transition, which is governed by the role of electron correlations characteristic of high-temperature superconducting materials other than fullerides.
Abstract: The crystal structure of a solid controls the interactions between the electronically active units and thus its electronic properties. In the high-temperature superconducting copper oxides, only one spatial arrangement of the electronically active Cu(2+) units-a two-dimensional square lattice-is available to study the competition between the cooperative electronic states of magnetic order and superconductivity. Crystals of the spherical molecular C(60)(3-) anion support both superconductivity and magnetism but can consist of fundamentally distinct three-dimensional arrangements of the anions. Superconductivity in the A(3)C(60) (A = alkali metal) fullerides has been exclusively associated with face-centred cubic (f.c.c.) packing of C(60)(3-) (refs 2, 3), but recently the most expanded (and thus having the highest superconducting transition temperature, T(c); ref. 4) composition Cs(3)C(60) has been isolated as a body-centred cubic (b.c.c.) packing, which supports both superconductivity and magnetic order. Here we isolate the f.c.c. polymorph of Cs(3)C(60) to show how the spatial arrangement of the electronically active units controls the competing superconducting and magnetic electronic ground states. Unlike all the other f.c.c. A(3)C(60) fullerides, f.c.c. Cs(3)C(60) is not a superconductor but a magnetic insulator at ambient pressure, and becomes superconducting under pressure. The magnetic ordering occurs at an order of magnitude lower temperature in the geometrically frustrated f.c.c. polymorph (Neel temperature T(N) = 2.2 K) than in the b.c.c.-based packing (T(N) = 46 K). The different lattice packings of C(60)(3-) change T(c) from 38 K in b.c.c. Cs(3)C(60) to 35 K in f.c.c. Cs(3)C(60) (the highest found in the f.c.c. A(3)C(60) family). The existence of two superconducting packings of the same electronically active unit reveals that T(c) scales universally in a structure-independent dome-like relationship with proximity to the Mott metal-insulator transition, which is governed by the role of electron correlations characteristic of high-temperature superconducting materials other than fullerides.
189 citations
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TL;DR: The results suggest that young people think that they handle modern technology well and are ready to use it if only an increase in performance is expected, and prove the general applicability of the UTAUT model in e-learning settings.
189 citations
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01 Jan 1995TL;DR: This paper reimplemented Assistant, a system for top down induction of decision trees, using RELIEFF as an estimator of attributes at each selection step, and shows strong relation between R.ELIEF’s estimates and impurity functions, that are usually used for heuristic guidance of inductive learning algorithms.
Abstract: In the context of machine learning from examples this paper deals with the problem of estimating the quality of attributes with and without dependencies between then Greedy search prevents current inductive machine learning algorithms to detect significant dependencies between the attributes Recently, Kira and Rendell developed the RELIEF algorithm for estimating the quality of attributes that is able to detect dependencies between attributes We show strong relation between RELIEF’s estimates and impurity functions, that are usually used for heuristic guidance of inductive learning algorithms We propose to use RELIEFF, an extended version of RELIEF, instead of myopic impurity functions We have reimplemented Assistant, a system for top down induction of decision trees, using RELIEFF as an estimator of attributes at each selection step The algorithm is tested on several artificial and several real world problems Results show the advantage of the presented approach to inductive learning and open a wide range of possibilities for using RELIEFF
189 citations
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TL;DR: In this paper, the diffusion constant was determined by measuring the relaxation of an imposed density modulation and modeling its decay hydrodynamically, which was converted to a resistivity by using the Nernst-Einstein relation.
Abstract: Strong interactions in many-body quantum systems complicate the interpretation of charge transport in such materials. To shed light on this problem, we study transport in a clean quantum system: ultracold lithium-6 in a two-dimensional optical lattice, a testing ground for strong interaction physics in the Fermi-Hubbard model. We determine the diffusion constant by measuring the relaxation of an imposed density modulation and modeling its decay hydrodynamically. The diffusion constant is converted to a resistivity by using the Nernst-Einstein relation. That resistivity exhibits a linear temperature dependence and shows no evidence of saturation, two characteristic signatures of a bad metal. The techniques we developed in this study may be applied to measurements of other transport quantities, including the optical conductivity and thermopower.
189 citations
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TL;DR: In this paper, a search for squarks and gluinos in final states containing jets, missing transverse momentum and no high-p(T) electrons or muons is presented.
Abstract: A search for squarks and gluinos in final states containing jets, missing transverse momentum and no high-p(T) electrons or muons is presented. The data represent the complete sample recorded in 2011 by the ATLAS experiment in 7 TeV proton-proton collisions at the Large Hadron Collider, with a total integrated luminosity of 4.7 fb(-1). No excess above the Standard Model background expectation is observed. Gluino masses below 860 GeV and squark masses below 1320 GeV are excluded at the 95% confidence level in simplified models containing only squarks of the first two generations, a gluino octet and a massless neutralino, for squark or gluino masses below 2 TeV, respectively. Squarks and gluinos with equal masses below 1410 GeV are excluded. In minimal supergravity/constrained minimal supersymmetric Standard Model models with tan beta = 10, A(0) = 0 and mu > 0, squarks and gluinos of equal mass are excluded for masses below 1360 GeV. Constraints are also placed on the parameter space of supersymmetric models with compressed spectra. These limits considerably extend the region of supersymmetric parameter space excluded by previous measurements with the ATLAS detector.
189 citations
Authors
Showing all 17388 results
Name | H-index | Papers | Citations |
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David Miller | 203 | 2573 | 204840 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
James M. Tour | 143 | 859 | 91364 |
Carmen García | 139 | 1503 | 96925 |
Bernt Schiele | 130 | 568 | 70032 |
Vladimir Cindro | 129 | 1157 | 82000 |
Teresa Barillari | 129 | 984 | 78782 |
Sven Menke | 129 | 1121 | 82034 |
Horst Oberlack | 129 | 985 | 80069 |
Hubert Kroha | 129 | 1126 | 80746 |
Peter Schacht | 129 | 1030 | 80092 |
Siegfried Bethke | 129 | 1266 | 103520 |
Igor Mandić | 128 | 1065 | 79498 |
Stefan Kluth | 128 | 1261 | 84534 |
Andrej Gorišek | 128 | 951 | 67830 |