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Strengthening the Magnetic Interactions in Pseudobinary First-Row Transition Metal Thiocyanates, M(NCS)2 (2020)
Journal Article

Understanding the effect of chemical composition on the strength of magnetic interactions is key to the design of magnets with high operating temperatures. The magnetic divalent first-row transition metal (TM) thiocyanates are a class of chemically s... Read More about Strengthening the Magnetic Interactions in Pseudobinary First-Row Transition Metal Thiocyanates, M(NCS)2.

Ground and Excited States of Bis?4?Methoxybenzyl?Substituted Diketopyrrolopyrroles: Spectroscopic and Electrochemical Studies (2019)
Journal Article

A series of symmetrically bis?4?methoxybenzyl (4MB) N?substituted 1,4?diketopyrrolo[3,4?c]pyrrole (DPP) derivatives have been synthesized. The 4MB unit makes the DPP core soluble, and shows subtle modification of up to 0.2?eV in ground and excited st... Read More about Ground and Excited States of Bis?4?Methoxybenzyl?Substituted Diketopyrrolopyrroles: Spectroscopic and Electrochemical Studies.

Strongly coloured thiocyanate frameworks with perovskite-analogue structures (2018)
Journal Article
Cliffe, M. J., Keyzer, E. N., Dunstan, M. T., Ahmad, S., De Volder, M. F. L., Deschler, F., …Grey, C. P. (2019). Strongly coloured thiocyanate frameworks with perovskite-analogue structures. Chemical Science, 10(3), 793-801. https://doi.org/10.1039/c8sc04082f

We report the first examples of thiocyanate-based analogues of the cyanide Prussian Blue compounds, MIII[Bi(SCN)6], M= Fe, Cr, Sc. These compounds adopt the primitive cubic pcu topology and show strict cation order. Optical absorption measurements sho... Read More about Strongly coloured thiocyanate frameworks with perovskite-analogue structures.

Realistic atomistic structure of amorphous silicon from machine-learning-driven molecular dynamics (2018)
Journal Article
Deringer, V. L., Bernstein, N., Bartók, A. P., Cliffe, M. J., Kerber, R. N., Marbella, L. E., …Csányi, G. (2018). Realistic atomistic structure of amorphous silicon from machine-learning-driven molecular dynamics. Journal of Physical Chemistry Letters, 9(11), 2879-2885. https://doi.org/10.1021/acs.jpclett.8b00902

Amorphous silicon (a-Si) is a widely studied noncrystalline material, and yet the subtle details of its atomistic structure are still unclear. Here, we show that accurate structural models of a-Si can be obtained using a machine-learning-based intera... Read More about Realistic atomistic structure of amorphous silicon from machine-learning-driven molecular dynamics.