G
G. Oszlányi
Researcher at Hungarian Academy of Sciences
Publications - 38
Citations - 2289
G. Oszlányi is an academic researcher from Hungarian Academy of Sciences. The author has contributed to research in topics: Crystal structure & Ab initio. The author has an hindex of 17, co-authored 38 publications receiving 2215 citations. Previous affiliations of G. Oszlányi include École Polytechnique.
Papers
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Journal ArticleDOI
Ab initio structure solution by charge flipping.
G. Oszlányi,Andras Suto +1 more
TL;DR: In this paper, an extremely simple structure solution method termed charge flipping is presented, which works ab initio on high-resolution X-ray diffraction data in the manner of Fourier recycling.
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Polymeric fullerene chains in RbC60 and KC60
Peter W. Stephens,G. Bortel,G. Faigel,Miklós Tegze,András Jánossy,Sándor Pekker,G. Oszlányi,László Forró +7 more
TL;DR: In this paper, the authors provided direct evidence for covalent bonding between neighboring C60 molecules through powder X-ray diffraction studies of RbC60 and KC60, which has been hypothesized to take place during photopolymerization of solid C60.
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Quasi-one-dimensional electronic structure in orthorhombic RbC60.
TL;DR: X-ray diffraction studies show that the stable phase of the alkali fullerene RbC[sub 60] is orthorhombic ([ital o]-RbC(sub 60) below 350 K, and magnetic properties suggest that [ital o] is a quasi-1D metal with a transition to a spin density wave ground state at 50 K.
Journal ArticleDOI
Ab initio structure solution by charge flipping. II. Use of weak reflections
G. Oszlányi,András Sütő +1 more
TL;DR: A new version of the algorithm is presented that complements the phase exploration in reciprocal space, instead of prescribing observed moduli of all structure factors, weak reflections are treated separately and a previously unsolvable structure becomes solvable by the modified algorithm.
Journal ArticleDOI
The charge flipping algorithm
G. Oszlányi,András Sütő +1 more
TL;DR: The paper describes and compares new variants of the iteration scheme, helps to identify and improve solutions, discusses the required data and the use of known information, and tries to foretell the future of such an alternative among well established direct methods.