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Anders J. Markvardsen
Researcher at Rutherford Appleton Laboratory
Publications - 39
Citations - 1718
Anders J. Markvardsen is an academic researcher from Rutherford Appleton Laboratory. The author has contributed to research in topics: Powder diffraction & Software. The author has an hindex of 12, co-authored 37 publications receiving 1362 citations. Previous affiliations of Anders J. Markvardsen include University of Oxford.
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Journal ArticleDOI
Mantid - Data Analysis and Visualization Package for Neutron Scattering and $μ SR$ Experiments
Owen Arnold,Jean-Christophe Bilheux,Jose M. Borreguero,A. Buts,Stuart I. Campbell,Laurent Chapon,Mathieu Doucet,Nick Draper,R. Ferraz Leal,M. Gigg,Vickie E. Lynch,Anders J. Markvardsen,D.J. Mikkelson,D.J. Mikkelson,R.L. Mikkelson,R.L. Mikkelson,Ross Miller,K. Palmen,Peter G. Parker,G. Passos,Toby Perring,Peter F. Peterson,Shelly Ren,Michael A. Reuter,Andrei T. Savici,Jon W. Taylor,R.J. Taylor,R. Tolchenov,Wenduo Zhou,Janik L. Zikovsky +29 more
TL;DR: The Mantid framework as discussed by the authors is a software solution developed for the analysis and visualization of neutron scattering and muon spin measurements, which is jointly developed by software engineers and scientists at the ISIS Neutron and Muon Facility and the Oak Ridge National Laboratory.
Journal ArticleDOI
A probabilistic approach to space-group determination from powder diffraction data
TL;DR: An algorithm for the determination of the space-group symmetry of a crystal from powder diffraction data, based upon probability theory, is described, finding that only a small number of extinction symbols are relatively highly probable and a single extinction symbol is often significantly more probable than any other.
Journal ArticleDOI
Conformational analysis by solid-state NMR and its application to restrained structure determination from powder diffraction data
David A. Middleton,Xin. Peng,David Saunders,Kenneth Shankland,William I. F. David,Anders J. Markvardsen +5 more
TL;DR: Solid-state NMR is used to dramatically improve the efficiency and reliability of molecular crystal structure determination from X-ray powder diffraction data.
SasView version 4.1.2
Mathieu Doucet,Jae Hie Cho,Gervaise Alina,Jurrian Bakker,Wim G. Bouwman,Paul Butler,Kieran Campbell,Miguel Gonzales,Richard K. Heenan,Andrew Jackson,Pavol Juhas,Stephen M. King,Paul Kienzle,Jeff Krzywon,Anders J. Markvardsen,Torben Nielsen,Lewis O'Driscoll,Wojciech Potrzebowski,Ricardo M. F. Leal,Tobias Richter,Piotr Rozycko,Tim Snow,A. L. Washington +22 more
Journal ArticleDOI
A hybrid Monte Carlo method for crystal structure determination from powder diffraction data
TL;DR: The algorithm combines the key components of molecular dynamics and Monte Carlo simulations to achieve efficient sampling of phase space, allowing the crystal structure of capsaicin to be determined from powder diffraction data more effectively than by a simulated-annealing approach.