Conor D. Rankine

University of York — United Kingdom

Materials Science · Physical Sciences

12h-index466citations51works3.52yr avg
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Research Topics

X-ray Diffraction in Crystallography(15), Machine Learning in Materials Science(12), Photochemistry and Electron Transfer Studies(10), Advanced Chemical Physics Studies(8), Spectroscopy and Quantum Chemical Studies(8)

Publications51 total

Investigating the ultraviolet photodissociation of bromocyclopropane with ultrafast electron diffraction
The Journal of Chemical Physics·2025· 2 citedOpen Access
Ultrafast ring-opening dynamics of 1,2-dithiane following ultraviolet absorption
Chemical Physics Letters·2025· 1 citedOpen Access
Ultrafast Ring-Opening Dynamics of 1,2-Dithiane Following Ultraviolet Absorption
SSRN Electronic Journal·2025Open Access
Ligand-controlled alteration of nuclear trajectories during photoinduced intersystem crossing in bis-meridional Fe(II) complexes
2024· 1 citedOpen Access
Ligand-controlled alteration of nuclear trajectories during photoinduced intersystem crossing in bis-meridional Fe(II) complexes
2024· 2 citedOpen Access
Machine-learning strategies for the accurate and efficient analysis of x-ray spectroscopy
Machine Learning Science and Technology·2024· 5 citedOpen Access
The photochemistry of Rydberg-excited cyclobutanone: Photoinduced processes and ground state dynamics
The Journal of Chemical Physics·2024· 7 citedOpen Access
The Photochemistry of Rydberg Excited Cyclobutanone: Photoinduced Processes and Ground State Dynamics
arXiv (Cornell University)·2024Open Access
A guide to bullvalene stereodynamics
Chemical Science·2024· 5 citedOpen Access
Correlated shapeshifting and configurational isomerization
Chemical Science·2024· 5 citedOpen Access
Photo-induced structural dynamics of <i>o</i>-nitrophenol by ultrafast electron diffraction
Physical Chemistry Chemical Physics·2024· 10 citedOpen Access
Quantifying intuition: Bayesian approach to figures of merit in EXAFS analysis of magic size clusters
Nanoscale·2024· 4 citedOpen Access
An on-the-fly deep neural network for simulating time-resolved spectroscopy: predicting the ultrafast ring opening dynamics of 1,2-dithiane
Physical Chemistry Chemical Physics·2023· 10 citedOpen Access
Atmospheric breakdown chemistry of the new “green” solvent 2,2,5,5-tetramethyloxolane via gas-phase reactions with OH and Cl radicals
Atmospheric chemistry and physics·2022· 6 citedOpen Access
A deep neural network for valence-to-core X-ray emission spectroscopy
Molecular Physics·2022· 13 citedOpen Access
Observing the photo-induced structural dynamics of proton transfer in o-nitrophenol by Ultrafast Electron Diffraction
Research Square (Research Square)·2022· 1 citedOpen Access
Atmospheric breakdown chemistry of the new green solvent 2,2,5,5-tetramethyloxolane via gas-phase reactions with OH and Cl radicals
2022· 6 citedOpen Access
Supplementary material to "Atmospheric breakdown chemistry of the new green solvent 2,2,5,5-tetramethyloxolane via gas-phase reactions with OH and Cl radicals"
2022
Accurate, affordable, and generalizable machine learning simulations of transition metal x-ray absorption spectra using the XANESNET deep neural network
The Journal of Chemical Physics·2022· 35 citedOpen Access
Accurate, Affordable, and Generalisable Machine Learning Simulations of Transition Metal X-ray Absorption Spectra using the XANESNET Deep Neural Network
2022· 1 citedOpen Access
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Frequent Co-authors

Thomas J. Penfold(18), Derek A. Wann(15), J. Pedro F. Nunes(10), Jason D. Masuda(8), Seán T. Barry(8), Sarah L. Masters(5), Goran Bačić(5), Martin Centurion(4), Ming‐Fu Lin(4), Xiaozhe Shen(4), Xijie Wang(4), Aliyu M. Ja’o(4), Marwah M. M. Madkhali(3), Thomas Wolf(3), Natalie G. K. Wong(3), Caroline E. H. Dessent(3), M. S. Robinson(3), Kyle Wilkin(3), Kareem Hegazy(3), Stephen Weathersby(3)