A list of publications coming out of the CONEXS and HPC-CONEXS projects:

T. Penfold, et al, Machine-learning strategies for the accurate and efficient analysis of x-ray spectroscopy, Mach. Learn.: Sci. Technol., 2024, 5, 021001.

B. Klein, et al, Probing the role of surface termination in the adsorption of azupyrene on copper, Nanoscale, 2024, 16, 5802-5812.

M. Stoodley, et al, Structure of Graphene Grown on Cu(111): X-Ray Standing Wave Measurement and Density Functional Theory Prediction, Phys. Rev. Lett., 2024, 132, 196201.

K. Barlow, et al, Tracking nuclear motion in single-moleculemagnets using femtosecond X-rayabsorption spectroscopy, Nat. Commun., 2024, 15, 4043.

L. Watson, et al, A Δ-learning strategy for interpretation of spectroscopic observables, Struct. Dyn., 2023, 10, 064101.

T. David, et al, Towards the automated extraction of structural information from X-ray absorption spectra, Digit. Discov., 2023, 2, 1461-1470.

C. Middleton, et al, An on-the-fly deep neural network for simulating time-resolved spectroscopy: predicting the ultrafast ring opening dynamics of 1,2-dithiane, Phys. Chem. Chem. Phys., 2023, 25, 13325-13334.

CJ. Milne, et al, Disentangling the evolution of electrons and holes in photoexcited ZnO nanoparticles, Struct. Dyn., 2023, 6, 064501.