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Browsing publications by Conor Rankine.

Newcastle AuthorsTitleYearFull text
Professor Thomas Penfold
Dr Luke Watson
Clelia Middleton
Dr Tudur David
Dr Sneha Verma
et al.		Machine-Learning Strategies for the Accurate and Efficient Analysis of X-ray Spectroscopy2024
Conor Rankine
Photo-induced structural dynamics of o-nitrophenol by ultrafast electron diffraction2024
Dr Julien Eng
Conor Rankine
Professor Thomas Penfold
The photochemistry of Rydberg-excited cyclobutanone: Photoinduced processes and ground state dynamics2024
Clelia Middleton
Conor Rankine
Professor Thomas Penfold
An On-the-Fly Deep Neural Network for Simulating Time-Resolved Spectroscopy: Predicting the Ultrafast Ring Opening Dynamics of 1,2-Dithiane2023
Professor Thomas Penfold
Conor Rankine
A deep neural network for valence-to-core X-ray emission spectroscopy2022
Conor Rankine
Professor Thomas Penfold
Accurate, Affordable, and Generalisable Machine Learning Simulations of Transition Metal X-ray Absorption Spectra using the XANESNET Deep Neural Network2022
Dr Luke Watson
Conor Rankine
Professor Thomas Penfold
Beyond Structural Insight: A Deep Neural Network for the Prediction of Pt L2/3-edge X-ray Absorption Spectra2022
Dr Marwah Madkhali
Conor Rankine
Professor Thomas Penfold
Enhancing the Analysis of Disorder in X-Ray Absorption Spectra: Application of Deep Neural Networks to T-jump-X-ray Probe Experiments2021
Emanuele Falbo
Conor Rankine
Professor Thomas Penfold
On the Analysis of X-ray Absorption Spectra for Polyoxometallates2021
Conor Rankine
Professor Thomas Penfold
Progress in the Theory of X‐ray Spectroscopy: From Quantum Chemistry to Machine Learning and Ultrafast Dynamics2021
Conor Rankine
Structure retrieval in liquid-phase electron scattering2021
Conor Rankine
Dr Marwah Madkhali
Professor Thomas Penfold
A Deep Neural Network for the Rapid Prediction of X-ray Absorption Spectra2020
Conor Rankine
Dr Marwah Madkhali
Professor Thomas Penfold
A Deep Neural Network for the Rapid Prediction of X-ray Absorption Spectra2020
Maymoon Madkhali
Conor Rankine
Professor Thomas Penfold
The Role of Structural Representation in the Performance of a Deep Neural Network for X-Ray Spectroscopy2020