Physical and Photophysical Properties of a Linear copper(I) Complex of a Bulky Acenapthene-based NHC Ligand (dataset)

Bryony Hockin (Creator)
Campbell Frank Ross Mackenzie (Creator)
David Bradford Cordes (Creator)
Alexandra Martha Zoya Slawin (Creator)
Neil Robertson (Creator)
Eli Zysman-Colman (Creator)

Dataset

Date made available	2 Feb 2021
Publisher	University of St Andrews

Contact

[email protected]

DOI
10.17630/3d2c497d-9893-4a99-8acf-264224a6f3aa

Access Dataset

Open_data_271799122.zip
File: multipart/x-zip, 925 MB
Type: Dataset
Licence: CC BY

3 Finished

Chemistry EPSRC-JSPS: EPSRC-JSPS Core-to-Core Grant Application
Zysman-Colman, E. (PI)
1/08/18 → 31/01/24
Project: Standard
Blue-Emitting Phospors: Blue-emitting Phosphors for Solid State Lighting Applications
Zysman-Colman, E. (PI)
EPSRC
1/06/15 → 30/09/19
Project: Standard
CRITICAT CDT: Critical Resource Catalysis - CRITICAT
Smith, A. D. (PI), Nolan, S. P. (CoI) & Westwood, N. J. (CoI)
EPSRC
1/05/14 → 31/10/22
Project: Standard

1 Article

Physical and photophysical properties of a linear copper(I) complex of a bulky acenapthene-based NHC ligand
Hockin, B., Mackenzie, C. F. R., Cordes, D. B., Slawin, A. M. Z., Robertson, N. & Zysman-Colman, E., 25 Jan 2021, (E-pub ahead of print) In: Journal of Coordination Chemistry. Latest Articles
Research output: Contribution to journal › Article › peer-review

Open Access
File

CCDC 2038660 - 2038662: Experimental Crystal Structure Determination
Hockin, B. M. (Creator), Mackenzie, C. F. R. (Creator), Cordes, D. B. (Creator), Slawin, A. M. Z. (Creator), Robertson, N. (Creator) & Zysman-Colman, E. (Creator), Cambridge Crystallographic Data Centre, 2021
DOI: 10.5517/ccdc.csd.cc26fd79, https://dx.doi.org/10.5517/ccdc.csd.cc26fd8b and one more link, https://dx.doi.org/10.5517/ccdc.csd.cc26fd9c (show fewer)
Dataset
Evaluation of two- and three-coordinate copper (I) NHC complexes as photocatalysts (thesis data)
Hockin, B. (Creator) & Zysman-Colman, E. (Supervisor), University of St Andrews, 18 Jan 2026
DOI: 10.17630/63a59e77-ea7a-452c-a168-e86083e02234, https://doi.org/10.17630/sta/331
Dataset: Thesis dataset

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