It is a relatively easy task to the solution of the so-called phase problem in crystallography, by applying ab initio phasing methods for the efficiency of structure solution from single-crystal data. Their effective application to powder x-ray diffraction data is still a real challenge unless the size of the structure is moderate. The percentage of principal success hinges on a number of factors; included are the quality of the experimental pattern, the success of the pattern-decomposition programs, the quality of the extracted structure-factor from the experimental pattern via the Le Bail or Pawley methods, the normalization of structure-factor process, the experimental resolution and the straightforward of the phasing process. This paper aims at providing an overall overview of the reciprocal space RS methods (ab initio phasing methods of crystal structure) as well as the direct methods, Patterson function and maximum entropy methods. This paper will also describe the factors affecting phasing by reciprocal space methods and the limitation of reciprocal space methods. Those are available for carry out the structure solution, in order to provide a clear theoretical account, experimental practice and computing approaches regarding and describe an outline of the solution process of phase problem by powder X-ray diffraction, leads to the best structure solution using practical examples.
Published in | International Journal of Materials Science and Applications (Volume 10, Issue 2) |
DOI | 10.11648/j.ijmsa.20211002.11 |
Page(s) | 25-29 |
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Powder Data, Data Quality, Reciprocal Space, Structure Solution, Ab initio Phasing Methods, Pattern Decomposition, Structure Factor
[1] | J. W. Visser, J. Appl. Crystallogr., 1969, 2, 89. |
[2] | P. -E. Werner, L. Eriksson and M. Westdahl, J. Appl. Crystallogr., 1985, 18, 367. |
[3] | A. Boultif and D. Loue¨r, J. Appl. Crystallogr., 1991, 24, 987. |
[4] | Altomare, A., Cuocci, C., Giacovazzo, C., Moliterni, A., Rizzi, R. (2009). Acta Cryst. A65, 183189. |
[5] | Rietveld, H. M. (1969). J. Appl. Cryst. 2, 65–71. |
[6] | A. Le Bail, H. Duroy and J. L. Fourquet, Mater. Res. Bull., 1988, 23, 447. |
[7] | G. S. Pawley, J. Appl. Crystallogr., 1981, 14, 357. |
[8] | Giacovazzo, C. (1998). IUCr /Oxford University Press, Oxford. |
[9] | Patterson, A. L. (1934). Phys. Rev. 46, 372–376. |
[10] | Bricogne, G. (1991). ActaCryst. A47, 803–829. |
[11] | Altomare A. Cuocci C. Moliterni A. and Rizzi R. (2019) International Tables for Crystallography Vol. H, Chapter 4. 2, pp. 395–413. |
[12] | Wilson A. J. C. (1942). London, Nature, 150, 151–152. |
[13] | Giacovazzo, C. (1977). ActaCryst. A33, 933–944. |
[14] | Giacovazzo, C. (1980). ActaCryst. A36, 362–372. |
[15] | Giacovazzo, C. (2001). International Tables for Crystallography, Volume B, pp. 210–234. Dordrecht: IUCr/Kluwer Academic Publishers. |
[16] | Giacovazzo, C. (2013). Phasing in Crystallography: A Modern Perspective. Oxford: IUCr/ Oxford University Press. |
[17] | CochranW. Acta Cryst 1955; 8: 473–8. |
[18] | Cascarano, G., Giacovazzo, C., Camalli, M., Spagna, R., Burla, M. C., Nunzi, A. &Polidori, G. (1984). ActaCryst. A40, 278–283 |
[19] | Karle, J., Hauptman, H. A. (1956). Acta Cryst. 9, 635–651. |
[20] | Altomare, A., Cuocci, C., Giacovazzo, C., Moliterni, A. &Rizzi, R. (2011a). J. Appl. Cryst. 44, 448–453. |
[21] | Altomare, A., Caliandro, R., Giacovazzo, C., Moliterni, A. G. G., Rizzi, R. (2003). J. Appl. Cryst. 36, 230-238. |
[22] | Altomare, A., Caliandro, R., Cuocci, C., daSilva, I., Giacovazzo, C., Moliterni, A. G. G. &Rizzi, R. (2004). J. Appl. Cryst. 37, 204–209. |
[23] | Harker, D. (1936). J. Chem. Phys. 4, 381–390. |
[24] | Estermann, M. A. & David, W. I. F. (2002). Structure Determination from Powder Diffraction Data, pp. 202–218. Oxford University Press. |
[25] | Burla, M. C., Caliandro, R., Carrozzini, B., Cascarano, G. L., DeCaro, L., Giacovazzo, C., Polidori, G. &Siliqi, D. (2007). J. Appl. Cryst. 40, 834–840. |
[26] | David, W. I. F. (1987). J. Appl. Cryst. 20, 316–319. |
[27] | Estermann, M. A., McCusker, L. B. &Baerlocher, C. (1992). J. Appl. Cryst. 25, 539–543. |
[28] | Gilmore, C. J. (1996). ActaCryst. A52, 561–589. |
[29] | Gilmore, C. J., Henderson, K. &Bricogne, G. (1991). ActaCryst. A47, 830–841. |
[30] | Magdysyuk, O. V. van Smaalen S. and Dinnebier R. E. (2019). International Tables for Crystallography Vol. H, Chapter 4. 8, pp. 473–488. |
[31] | AIT Mouha M. et al 2020 IOP Conf. Ser.: Mater. Sci. Eng. 783012005. |
[32] | Altomare, A., Cuocci, C., Giacovazzo, C., Moliterni, A., Rizzi, R., Corriero, N., Falcicchio, A. (2013). J. Appl. Cryst., 46, 1231-1235. |
[33] | Altomare, A., Camalli, M., Cuocci, C., Giacovazzo, C., Moliterni, A. &Rizzi, R. (2009). J. Appl. Cryst. 42, 1197–1202. |
[34] | Florence AJ, Shankl and N, Shankl and K et al. J. Appl. Cryst. 2005; 38: 249–59. |
[35] | Caliandro, R., Carrozzini, B., Cascarano, G. L., DeCaro, L., Giacovazzo, C. &Siliqi, D. 2005a. ActaCryst. D61, 1080–87. |
[36] | Cernik, R. J., Cheetham, A. K., Prout, C. K., Watkin, D. J., Wilkinson, A. P., Willis, B. T. M. (1991). J. Appl. Cryst. 24, 222-226. |
APA Style
Mbark Ait Mouha, Dounia Tlamsamani, Khalid Yamni. (2021). Crystal Structure: Reciprocal Space Methods for Carry out the Structure Solution from Powder Data. International Journal of Materials Science and Applications, 10(2), 25-29. https://doi.org/10.11648/j.ijmsa.20211002.11
ACS Style
Mbark Ait Mouha; Dounia Tlamsamani; Khalid Yamni. Crystal Structure: Reciprocal Space Methods for Carry out the Structure Solution from Powder Data. Int. J. Mater. Sci. Appl. 2021, 10(2), 25-29. doi: 10.11648/j.ijmsa.20211002.11
AMA Style
Mbark Ait Mouha, Dounia Tlamsamani, Khalid Yamni. Crystal Structure: Reciprocal Space Methods for Carry out the Structure Solution from Powder Data. Int J Mater Sci Appl. 2021;10(2):25-29. doi: 10.11648/j.ijmsa.20211002.11
@article{10.11648/j.ijmsa.20211002.11, author = {Mbark Ait Mouha and Dounia Tlamsamani and Khalid Yamni}, title = {Crystal Structure: Reciprocal Space Methods for Carry out the Structure Solution from Powder Data}, journal = {International Journal of Materials Science and Applications}, volume = {10}, number = {2}, pages = {25-29}, doi = {10.11648/j.ijmsa.20211002.11}, url = {https://doi.org/10.11648/j.ijmsa.20211002.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmsa.20211002.11}, abstract = {It is a relatively easy task to the solution of the so-called phase problem in crystallography, by applying ab initio phasing methods for the efficiency of structure solution from single-crystal data. Their effective application to powder x-ray diffraction data is still a real challenge unless the size of the structure is moderate. The percentage of principal success hinges on a number of factors; included are the quality of the experimental pattern, the success of the pattern-decomposition programs, the quality of the extracted structure-factor from the experimental pattern via the Le Bail or Pawley methods, the normalization of structure-factor process, the experimental resolution and the straightforward of the phasing process. This paper aims at providing an overall overview of the reciprocal space RS methods (ab initio phasing methods of crystal structure) as well as the direct methods, Patterson function and maximum entropy methods. This paper will also describe the factors affecting phasing by reciprocal space methods and the limitation of reciprocal space methods. Those are available for carry out the structure solution, in order to provide a clear theoretical account, experimental practice and computing approaches regarding and describe an outline of the solution process of phase problem by powder X-ray diffraction, leads to the best structure solution using practical examples.}, year = {2021} }
TY - JOUR T1 - Crystal Structure: Reciprocal Space Methods for Carry out the Structure Solution from Powder Data AU - Mbark Ait Mouha AU - Dounia Tlamsamani AU - Khalid Yamni Y1 - 2021/04/01 PY - 2021 N1 - https://doi.org/10.11648/j.ijmsa.20211002.11 DO - 10.11648/j.ijmsa.20211002.11 T2 - International Journal of Materials Science and Applications JF - International Journal of Materials Science and Applications JO - International Journal of Materials Science and Applications SP - 25 EP - 29 PB - Science Publishing Group SN - 2327-2643 UR - https://doi.org/10.11648/j.ijmsa.20211002.11 AB - It is a relatively easy task to the solution of the so-called phase problem in crystallography, by applying ab initio phasing methods for the efficiency of structure solution from single-crystal data. Their effective application to powder x-ray diffraction data is still a real challenge unless the size of the structure is moderate. The percentage of principal success hinges on a number of factors; included are the quality of the experimental pattern, the success of the pattern-decomposition programs, the quality of the extracted structure-factor from the experimental pattern via the Le Bail or Pawley methods, the normalization of structure-factor process, the experimental resolution and the straightforward of the phasing process. This paper aims at providing an overall overview of the reciprocal space RS methods (ab initio phasing methods of crystal structure) as well as the direct methods, Patterson function and maximum entropy methods. This paper will also describe the factors affecting phasing by reciprocal space methods and the limitation of reciprocal space methods. Those are available for carry out the structure solution, in order to provide a clear theoretical account, experimental practice and computing approaches regarding and describe an outline of the solution process of phase problem by powder X-ray diffraction, leads to the best structure solution using practical examples. VL - 10 IS - 2 ER -