1992
DOI: 10.1103/physrevb.46.687
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Radial distribution function in x-ray-absorption fine structure

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Cited by 66 publications
(38 citation statements)
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“…This approach, while accurate for materials with small to moderate disorder, 5 fails in systems where the disorder is either large, or the bond length distribution is markedly non-Gaussian. 6,7 In those systems, as was previously shown, Gaussian approximation is inadequate, and EXAFS results obtained by using cumulant expansion are incorrect.…”
Section: Introductionmentioning
confidence: 88%
“…This approach, while accurate for materials with small to moderate disorder, 5 fails in systems where the disorder is either large, or the bond length distribution is markedly non-Gaussian. 6,7 In those systems, as was previously shown, Gaussian approximation is inadequate, and EXAFS results obtained by using cumulant expansion are incorrect.…”
Section: Introductionmentioning
confidence: 88%
“…. However, the lowest k data is inherently missing in EXAFS 46 . This creates a particular problem for cumulant expansion analysis of heavier metal nanoparticles such as the Pt series in this work, where the quality of structural information increases with useable k range.…”
Section: Equationmentioning
confidence: 99%
“…This technique is implemented in the EDARDF code, which relies on a hybrid regularization-least-squares-fitting algorithm 33 to search for a positive-defined and smooth G͑R͒ such that the best agreement between the simulated and experimental EXAFS is achieved. [37][38][39] There are also other procedures that one could rely on to determine G͑R͒, such as the regularization technique, 40 the splice method, 41 the Monte Carlo method, 42 and the reverse Monte Carlo technique. 43 The advantage of relying on Eq.…”
Section: ͑3͒mentioning
confidence: 99%