220 citations
- Erich Schmid Institute of Materials ScienceAT16 papers
- Austrian Academy of SciencesAT15 papers
- University of GrazAT6 papers
- TU WienAT4 papers
- Humboldt-Universität zu BerlinDE3 papers
- Institute of Physics BelgradeRS3 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Graz University of TechnologyAT2 papers
- Johannes Kepler University of LinzAT2 papers
- Materials Center Leoben (Austria)AT2 papers
- Plansee (Germany)DE2 papers
- University of TsukubaJP2 papers
8 papers · 1 filter
On cut sets of attractors of iterated function systems
Benoît Loridant, Jun Luo, Tarek Sellami +1
In this paper, we study cut sets of attractors of iteration function systems (IFS) in . Under natural conditions, we show that all irreducible cut sets of these attra…
Element- and charge-state-resolved ion energies in the cathodic arc plasma from composite AlCr cathodes in argon, nitrogen and oxygen atmospheres
Robert Franz, Peter Polcik, André Anders
The energy distribution functions of ions in the cathodic arc plasma using composite AlCr cathodes were measured as a function of the background gas pressure in the range 0.5 to 3.…
The Cartesian product of graphs with loops
Tetiana Boiko, Johannes Cuno, Wilfried Imrich +2
We extend the definition of the Cartesian product to graphs with loops and show that the Sabidussi-Vizing unique factorization theorem for connected finite simple graphs still hold…
Structural stability and thermodynamics of CrN magnetic phases from ab initio and experiment
Liangcai Zhou, David Holec, Matthias Bartosik +4
The dynamical and thermodynamic phase stabilities of the stoichiometric compound CrN including different structural and magnetic configurations are comprehensively investigated usi…
On the rate of convergence of the 2-D stochastic Leray- model to the 2-D stochastic Navier-Stokes equations with multiplicative noise
Hakima Bessaih, Paul Razafimandimby
In the present paper we study the convergence of the solution of the two dimensional (2-D) stochastic Leray- model to the solution of the 2-D stochastic Navier-Stokes equations.…
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning
Ronald Ortner, Odalric-Ambrym Maillard, Daniil Ryabko
We consider a reinforcement learning setting introduced in (Maillard et al., NIPS 2011) where the learner does not have explicit access to the states of the underlying Markov decis…