Publications related to Unified approach for the explanation of stochastic and periodic moires

Discrete choice and machine learning: Thomson and Thompson?

Classification methods from machine learning are receiving a lot of attention in the transportation modelling community. This is motivated by the access to large databases, and to various success stories reported in this research community. Discrete choice ...

2019

Crystalline and correlated phases in two-dimensional transition metal dichalcogenides

Diego José Pasquier

This thesis is dedicated to the study of various aspects of the electronic structure of two-dimensional transition metal dichalcogenides (TMDs) of chemical composition MX

_2

(where M is a transition metal atom and X= S, Se, Te), using a combination of \te ...

EPFL2019

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

Michele Ceriotti, Félix Benedito Clément Musil, Michael John Willatt

Machine-learning of atomic-scale properties amounts to extracting correlations between structure, composition and the quantity that one wants to predict. Representing the input structure in a way that best reflects such correlations makes it possible to im ...

2018

Micro-moirés combining metallic patterns and micro-lenses

Jürgen Brugger, Roger Hersch, Thomas Walger

Moiré effects appear when two sets of periodic structures are superimposed. By combining advanced micro-fabrication technologies and the moiré theory, we are able to obtain visually appealing moirés. Specific metallic patterns are created on one side of a ...

2017

Influence of Saliency and Social Impairments on the Development of Intention Recognition

Aude Billard, Laura Bénédicte Marine Cohen

Among the symptoms of schizophrenia, deficits in the recognition of intention is one of the most studied. However, there is no cognitive model of intention recognition that takes into account both innate and environmental/developmental factors. This work p ...

Springer Int Publishing Ag2016

Microstructural characterizations of 14Cr ODS ferritic steels subjected to hot torsion

Roland Logé

Oxide dispersion strengthened (ODS) steels are very promising materials for nuclear applications. In thispaper, the hot working behavior of ODS ferritic steels, consolidated by hot extrusion, is studied through torsion tests. Three ODS steels are produced ...

Elsevier2015

Rich periodic motor skills on humanoid robots: Riding the pedal racer

Auke Ijspeert, Massimo Vespignani, Jesse van den Kieboom, Luc Guyot

Just as their discrete counterparts, periodic or rhythmic dynamic motion primitives allow easily modulated and robust motion generation, but for periodic tasks. In this paper we present an approach for modulating periodic dynamic movement primitives based ...

IEEE2014

What Can Integral Equation Do for Array Analysis?

Anja Skrivervik

This contribution starts with a short overview on classic Integral Equation techniques for the analysis of periodic structures. Then, an efficient iterative procedure will be presented for periodic and quasi periodic structures. © 2014 European Association ...

2014

Synthesis, Characterization, and Reactivity of the First Osmium beta-Diketiminato Complexes and Application in Catalysis

Paul Joseph Dyson, Rosario Scopelliti, Andrew Douglas Phillips, Dominique Schreiber

The strongly chelating anionic beta-diketiminate ligand has been employed to formulate complexes involving almost every metal of the periodic table; however, the heavier metals of the d block remain relatively unexplored. This paper describes the synthesis ...

Amer Chemical Soc2013

On the scaling of polar codes: II. The behavior of un-polarized channels

Rüdiger Urbanke, Seyed Hamed Hassani

We provide upper and lower bounds on the escape rate of the Bhattacharyya process corresponding to polar codes where transmission takes place over the the binary erasure channel. More precisely, we bound the exponent of the number of sub-channels whose Bha ...

IEEE2010

Unified approach for the explanation of stochastic and periodic moires

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Discrete choice and machine learning: Thomson and Thompson?

Crystalline and correlated phases in two-dimensional transition metal dichalcogenides

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

Micro-moirés combining metallic patterns and micro-lenses

Influence of Saliency and Social Impairments on the Development of Intention Recognition

Microstructural characterizations of 14Cr ODS ferritic steels subjected to hot torsion

Rich periodic motor skills on humanoid robots: Riding the pedal racer

What Can Integral Equation Do for Array Analysis?

Synthesis, Characterization, and Reactivity of the First Osmium beta-Diketiminato Complexes and Application in Catalysis

On the scaling of polar codes: II. The behavior of un-polarized channels

Crystalline and correlated phases in two-dimensional transition metal dichalcogenides

Microstructural characterizations of 14Cr ODS ferritic steels subjected to hot torsion

Micro-moirés combining metallic patterns and micro-lenses

Rich periodic motor skills on humanoid robots: Riding the pedal racer

Discrete choice and machine learning: Thomson and Thompson?

Synthesis, Characterization, and Reactivity of the First Osmium beta-Diketiminato Complexes and Application in Catalysis

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

What Can Integral Equation Do for Array Analysis?

Influence of Saliency and Social Impairments on the Development of Intention Recognition

On the scaling of polar codes: II. The behavior of un-polarized channels