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FOX, `free objects for crystallography': a modular approach to ab initio structure determination from powder diffraction

Open access
Favre-Nicolin, Vincent, Černý, Radovan·2002·Journal of Applied Crystallography

Abstract

A new program has been developed for ab initio crystal structure determination from powder diffraction data (X-ray and neutron). It uses global-optimization algorithms to solve the structure by performing trials in direct space. It is a modular program, capable of using several criteria for evaluating each trial configuration (e.g.multi-pattern). It is also modular in the description of the crystal content, with the possibility of describing building blocks in the sample, such as polyhedra or molecules, and with automatic adaptive handling of special positions and sharing of identical atoms between neighbouring building blocks. It can therefore find the correct structure without any assumption about the connectivity of the building blocks and is suitable for any kind of material. Several optimization algorithms (simulated annealing, parallel tempering) are available, with the possibility of choosing the convergence criterion as a combination of available cost functions. This program is freely available for Linux and Windows platforms; it is also fully `open source', which, combined with an object-oriented design and a complete developer documentation, ensures its future evolution.

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Metadata

Authors
Favre-Nicolin, V., & Černý, R.
Venue
Journal of Applied Crystallography
Published
2002-11-13
Volume
35
Issue
6
Pages
734-743
ISSN
0021-8898 (ISSN-L)
OpenAlex
W2115311713
Cited by
1,342
References
1
FWCI
14.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: FOX, `free objects for crystallography': a modular approach to ab initio structure determination from powder diffraction. https://app.cochat.ai/papers/10.1107/s0021889802015236
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Favre-Nicolin, V., & Černý, R. (2002). FOX, `free objects for crystallography': a modular approach to ab initio structure determination from powder diffraction. Journal of Applied Crystallography. https://doi.org/10.1107/s0021889802015236

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.