ИСТИНА

• Охват: Международная
• Даты проведения: 17-22 марта 2019
• Место проведения: Гренобль, France
• Организаторы:
  Institut Laue Langevin (ILL)
  European Synchrotron Radiation Facility (ESRF)
• Веб-сайт: https://workshops.ill.fr/event/133/
• Описание конференции:

  Sponsors Contact ADD2019@ill.fr Home ADD2019 School and Conference on Analysis of Diffraction Data in Real Space Grenoble, 17 to 22 March 2019 Co-organised by: Institut Laue-Langevin (ILL) and The European Synchrotron (ESRF) Aim, Scope and Format The ADD2019 School and Conference aim to deepen the understanding and to further the training of the various communities working on real-space data analysis for neutron and x-ray diffraction techniques. Fourier transformation of diffraction data into real-space, traditionally used for the structural determination of liquids and glasses, is now increasingly employed for partially-disordered crystalline powder samples, and most recently for spin-spin correlations in disordered or frustrated magnetic systems (in the case of neutron diffraction). The scientific scope of ADD2019 pertains to both x-ray and neutron diffraction techniques, and will again include single-crystal diffuse scattering as an integral part of the School and the Conference. The School proposes pedagogic lectures on real-space data-analysis techniques followed by 7 parallel sessions of hands-on tutorials for training with various data-modelling software packages: DISCUS, PDFgui, DiffpyCMI, EPSR, Spinvert, RMCProfile, and Yell. The Conference proposes 8 invited talks and about 16 additional oral contributions, as well as a poster session. The Fourier transformation of diffraction data into real-space produces a Pair-Distribution Function (PDF) that provides a model-independent "snapshot" of the local structure within the sample. The PDF(r) thus probes both static and dynamic atomic correlations (and also magnetic spin-spin correlations in the case of neutron diffraction). The so-called "PDF-analysis" technique is therefore complementary to the well-known Rietveld method of refining diffraction data in Q-space that provides a space-time averaged picture of the sample's structure. PDF-analysis now enjoys a wide field of application, in particular to nano-structured materials. Building on the success of our previous ADD workshops in Grenoble (ADD2013 of 18-22 March 2013, ADD2016 of 7-11 March 2016), the ADD2019 School+Conference will start Sunday evening 17 March 2019 and finish Friday afternoon 22 March, a full 5-day programme that includes 2-1/2 days for the School followed by 2-1/2 days for the Conference, basically the same format as for ADD2016, but with a few additional features. As compared to ADD2016, the 2019 edition includes 2 additional hands-on tutorials: (1) DiffPy-CMI: a more flexible and powerful command-line version of PDFgui. (2) Spinvert: a Reverse Monte-Carlo program for refining diffuse magnetic neutron scattering data from powdered samples and providing a spin-spin Pair-Distribution Function or "magnetic PDF" for the magnetic species. In addition, ADD2019 features new pedagogic lectures on nitty-gritty data-reduction and data-correction techniques for x-ray and neutron diffraction as concerns liquids/glasses, disordered crystals and single-crystal diffuse scattering. Real-space analysis of diffraction data deals with general structural concepts such as atomic/spin distribution functions and structural/magnetic correlation lengths, and now employs standard formulae common to neutron, x-ray and other diffraction techniques. It therefore facilitates a synergetic convergence of hitherto largely disjoint communities: liquids/glasses diffraction, crystalline powder diffraction, single-crystal diffuse scattering and diffuse magnetic scattering.

• Добавил в систему: Ахкямова Азалия Финарисовна

Доклады:

• 2019 Combination of Nanocalorimetry with Synchrotron Nano-focus X-ray Scattering and with Atomic Force Microscopy for studying semirigid-chain polymers (Стендовый)
• Авторы: Azaliia Akhkiamova, Pierre Lloria, Alain Panzarella, Ivanov Dimitri A., van der Linden Peter, Martin Rosenthal, Diego Pontoni, Marie Capron