Projects per year
Date made available | 27 Jun 2018 |
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Publisher | University of St Andrews |
Projects
- 5 Finished
-
RS Wolfson Merit Award: Exploiting NMR spectroscopy: Local structure and disorder in solids
Ashbrook, S. E. (PI)
1/09/15 → 31/08/20
Project: Standard
-
NMR Crystallography: Collaborative Computational Project in NMR Crystallography - Collaborative Agreement
Ashbrook, S. E. (PI)
1/04/15 → 31/03/20
Project: Standard
-
Research output
- 1 Article
-
Polymorphism, weak interactions and phase transitions in chalcogen-phosphorus heterocycles
Sanz Camacho, P., Stanford, M., McKay, D., Dawson, D. M., Athukorala Arachchige, K. S., Cordes, D. B., Slawin, A. M. Z., Woollins, J. D. & Ashbrook, S. E., 1 Aug 2018, In: Chemistry - A European Journal. 24, 43, p. 11067-11081Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Polymorphism, Weak Interactions and Phase Transitions in Chalcogen-Phosphorus Heterocycles (dataset 2)
Sanz Camacho, P. (Creator), Stanford, M. W. (Creator), Dawson, D. M. (Creator), Athukorala Arachchige, K. S. (Creator), Cordes, D. B. (Creator), Slawin, A. M. Z. (Creator), Woollins, J. D. (Creator) & Ashbrook, S. E. M. (Creator), Cambridge Crystallographic Data Centre, 2018
https://dx.doi.org/10.5517/ccdc.csd.cc1yyyc6 and 23 more links, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyb5, https://dx.doi.org/10.5517/ccdc.csd.cc1yyy94, https://dx.doi.org/10.5517/ccdc.csd.cc1yyy72, https://dx.doi.org/10.5517/ccdc.csd.cc1yyylf, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyf8, https://dx.doi.org/10.5517/ccdc.csd.cc1yyy83, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyhb, https://dx.doi.org/10.5517/ccdc.csd.cc1yyykd, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyg9, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyjc, https://dx.doi.org/10.5517/ccdc.csd.cc1yyypj, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyys, https://dx.doi.org/10.5517/ccdc.csd.cc1yyymg, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyrl, https://dx.doi.org/10.5517/ccdc.csd.cc1yyynh, https://dx.doi.org/10.5517/ccdc.csd.cc1yyytn, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyzt, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyxr, https://dx.doi.org/10.5517/ccdc.csd.cc1yyywq, https://dx.doi.org/10.5517/ccdc.csd.cc1yyysm, https://dx.doi.org/10.5517/ccdc.csd.cc1yyyvp, https://dx.doi.org/10.5517/cc14gym5, https://dx.doi.org/10.5517/cc14gyn6 (show fewer)
Dataset