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Annual General Meeting of ORSO

14–18 Jun 2021
Zoom
Europe/Stockholm timezone

Contribution List

26 / 26
2. Introduction
Thomas Arnold (European Spallation Source ERIC)
14/06/2021, 09:00
3. Reproducible science in the neutron reflection context
Dr Stuart Prescott (UNSW Chemical Engineering)
14/06/2021, 09:15

Reproducibility is a broad term that covers many aspects of the scientific endeavour. In the context of a reflectometry experiment, ‘reproducibility’ can be understood to cover the details of sample preparation, data collection, data reduction, and data analysis. Attention to reproducibility is enabling: it allows the experiment to be repeated, the data handling pipeline to be checked, the...
4. Spatially resolved neutron reflectometry by computed tomography
Hiroyuki Aoki
14/06/2021, 09:45

Neutron reflectometry (NR) has been employed to analyze the nanometric structure of the surface and interfaces of various materials. In a conventional NR experiment, the illuminated area is on the order of 1 - 10 cm^2; therefore, it has been difficult to use the NR for the sample with in-plane inhomogeneity. This work realized a spatially resolved NR technique by the combination of a...
5. Resonant x-ray reflectivity: probing the chemical and magnetic profiles
Tom Hase
14/06/2021, 10:30
6. Nina-Juliane Steinke
14/06/2021, 11:00
7. The Data Formats Working Group
Jochen Stahn (Paul Scherrer Institut)
14/06/2021, 11:30
8. The Education and Outreach Working Group
Bridget Murphy
14/06/2021, 11:45
9. Introduction
Thomas Arnold (European Spallation Source ERIC)
14/06/2021, 19:00
10. Reinventing time-of-flight reflectometry—return of a proven approach
Tim Charlton
14/06/2021, 19:15

T. Charlton, H. Ambaye and A. Huon (ORNL)
M.R. Fitzsimmons (ORNL/University of Tennessee, Knoxville)

In this self-hosted Zoom-chat, I will discuss data acquisition and analysis techniques for neutron reflectometry at continuous wave (CW) sources applied to a pulsed-neutron source. I show data collected using the BL4A reflectometer at the Spallation Neutron Source (ORNL) using the so-called...
11. Free Thiols Regulatation of the Interactions and Self-Assembly of Thiol-Passivated Metal Nanoparticles investigated with X-ray scattering and MD simulations.
Binhua Lin
14/06/2021, 19:45

Pan Suna,1, Linsey M. Nowack b,1, Wei Bu a, Mrinal K. Bera a, Sean Griesemer b, Morgan Reik b, Joshua Portner b, Stuart A. Riceb,d, Mark L. Schlossman c and Binhua Lin a,b*
a NSF’s ChemMatCARS, University of Chicago, Chicago, IL 60637, USA
b James Franck Institute, University of Chicago, Chicago, IL 60637, USA
c Department of Physics, University of Illinois at Chicago, Chicago, IL 60607,...
12. Why NeXus?
Ray Osborn
14/06/2021, 20:30
13. 35 years of x-ray reflectivity at NSLS & NSLS II: science hiding in small features and the new kid (instrument) on the block
Ben Ocko
14/06/2021, 21:00
14. The Data Analysis Working Group
Brian Maranville
14/06/2021, 21:30
15. The Reproducibility Working Group
Andrew McCluskey (European Spallation Source ERIC)
14/06/2021, 21:45
20. RefNX
Andrew Nelson (Australian Nuclear Science and Technology Organisation)
17/06/2021, 13:00

https://www.github.com/refnx/refnx
21. GenX
Artur Glavic (PSI - Paul Scherrer Institute)
17/06/2021, 13:20

https://aglavic.github.io/genx/index.html
22. BornAgain
Joachim Wuttke
17/06/2021, 13:40

http://bornagainproject.org/
23. RasCAL2
Arwel Hughes
17/06/2021, 14:20
24. Refl1D
Brian Maranville
17/06/2021, 14:40

https://github.com/reflectometry/refl1d
25. Analyzer
Mrinal Bera
17/06/2021, 15:00

https://chemmatcars.uchicago.edu/facilities/software/
26. Dicussion
17/06/2021, 15:20
16. Summary of the working group sessions
18/06/2021, 19:00
17. New Methods in Reflectivity Analysis: Neural Networks and the Fisher Information
Joshanial Cooper, James Durant
18/06/2021, 19:30
18. Artificial Intelligence Analysis of Reflectivity Data
Stefan Kowarik
18/06/2021, 20:00

Stefan Kowarik1, Alessandro Greco2, David Marecek1, Erich Hüthmair1, Vladimir Starostin2, Alexander Hinderhofer2, Alexander Gerlach2, Maximilian Skoda3, and Frank Schreiber2
— 1Department of Physical Chemistry, University of Graz, Austria
— 2Institute of Applied Physics, University of Tübingen, Germany
— 3Rutherford Appleton Lab, ISIS Neutron and Muon Source, UK
We review the applicability...
19. Towards reflectivity profile inversion through artificial neural networks
Juan Carmona Loaiza
18/06/2021, 20:30

The goal of specular neutron and x-ray reflectometry is to infer a material's scattering length density (SLD) profile from its experimental reflectivity curves. In this talk I will quickly describe the ill-posed non-invertible problem and an approach to some solutions via the use of artificial neural networks (ANNs). In particular, I will describe a set of tailored numerical experiments with...
1. Introduction
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