OKAZAKI STRASBOURG Symposium 

Chemistry and Physics

3 mai 2017, Auditorium

Héloïse Nonne (SNCF – DIRECTION DIGITAL),
ancienne étudiante du Master de Physique

présentera un séminaire pour les étudiants de l’Ecole doctorale de Physique et Chimie-Physique,  portant sur

“Réseaux de neurones et maintenance prédictive des trains : témoignage d’une ancienne diplômée”

Héloïse Nonne dirige le pôle data science et data engineering du centre d’expertise data (Big Data Fab) de SNCF. Son équipe mène des projets d’analyse de données pour l’ensemble des entités du groupe SNCF (maintenance prédictive du matériel, de l’infrastructure, prévention des risques, visualisation de données géolocalisées, prédiction de flux logistiques, connaissance clients, analyses de traces GPS, etc.). Elle présentera en quoi consiste son métier et les projets, les données, les techniques et technologies utilisées pour les analyser et pourquoi un parcours de physicien est bien adapté pour déboucher sur le métier de data scientisit.

Extreme value statistics in random matrix theory: random and quantum chaotic states

Steven Tomsovic

Department of Physics and Astronomy, Washington State University, Pullman, USA

Random matrix theory was introduced into physics by Eugene Wigner in the 1950’s. Since that time it has spread into a very broad spectrum of research fields. With the Bohigas-Giannoni-Schmit conjecture in the early 1980’s, it became inextricably linked with the quantum statistical properties of chaotic systems. The most celebrated statistical properties in the spectrum are the rarity of close lying levels, level repulsion, and a long range spectral rigidity. For eigenstates, overlap intensities behave like the squares of independent Gaussian random numbers for time reversal invariant systems and like exponentially distributed numbers if time reversal is broken.

Independently, since around the turn of the 20^th century, mostly mathematicians and engineers have been developing a statistical theory of extreme values. New universal statistical laws arise when one considers the extremal values of subsets of data. More recently though, extreme value statistics has become increasingly important in many physics contexts. In the early 1990’s, Tracy and Widom derived their well-known distribution for the behavior of the largest (or smallest) eigenvalue in random matrix theory.

In today’s talk, we will discuss the background of random matrix theory and extreme value statistics necessary to consider some exact results derived for the properties of eigenstates intensities within random matrix theory.

Financial support from the LabEx NIE is gratefully acknowledged

“Development of new pi-conjugated systems for organic electronics and single-molecule electronics”

Dr. Yutaka IE
Institute of Scienctific and Industrial Research (ISIR)

“Porphyrins on Titania”

Thilo GLATZEL

University of Basel

Spin resolved scanning tunneling microscopy: Non-collinear magnetism and high frequency dynamic properties

Marie Hervé

Karsruhe Institute of Technology, Germany

In magnetic thin films the Heisenberg exchange interaction often leads to a parallel or antiparallel alignment of neighboring spins in the crystal. When inversion symmetry is broken e.g. by a surface or an interface, the non-collinear Dzyaloshinskii-Moriya interaction competes with the Heisenberg exchange interaction. This competition can lead, in some case, to the stabilization of complex spin textures such as spin spirals or skyrmions. Investigation of the local dynamic properties of magnetic structures – such as skyrmion or nano-skyrmionic lattice – require the implementation of experimental technique with a high spatio-temporal resolution (nm and sub-ns resolution). In this talk, I will first show that spin-polarized STM (SP-STM) is an ideal tool to probe such non-collinear magnetic structure. In a second part I will present our current progress in the development of a new experimental technique combining ferromagnetic resonance (FMR) with SP-STM.

Séminaire IPCMS

” Ultrafast Magnetism: recent theory developments”

Prof. Peter OPPENEER

Abstract : SEMINAIRE OPPENEER

Electron Microscopy with High Temporal Resolution    

The workshop will be held from 29 to 31 May 2017

The scope of the workshop is the presentation and discussion of the state of the art in transmission electron microscopy from the millisecond to the femtosecond. Exciting scientific results and technical developments make this new direction of electron microscopy a highly productive field of nanocharacterization with increasing importance in the understanding of structural and morphological changes at the atomic scale. Electron microscopy with high temporal resolution has already found numerous applications, from materials science to biology, in the study of dynamic phenomena such as transient states, phase transformations, or chemical reactions.

“Observing reactions in real time using 3D plasmonic nanoparticle-assembled fluid interfaces”

Mme  Xing Yi Ling

Xing Yi Ling obtained Ph.D. degree from University of Twente, the Netherlands in 2008. Her thesis earned her the 2009 IUPAC Young Chemist award. She did her post-doc research in Prof. Peidong Yang’s group at the University of California, Berkeley with the Rubicon fellowship from the Netherlands Organization for Scientific Research. She joined NTU in 2011, and obtained her tenured associate professorship in 2016. She is the recipient of Singapore National Research Foundation fellowship (2012), the Asian and Oceanian Photochemistry Association prize for Young Scientist (2014), winner for L’ORÉAL Singapore for Women in Science National Fellowships (2015), Royal Society Chemistry Emerging Investigator (2015), and SPMS Teaching Award (2016). The research at Ling’s group focuses on fabrication of surface-enhanced Raman scattering platforms by nanofabrication and/or self-assembly of shape-controlled noble metal nanocrystals for sensing and anti-counterfeiting applications.