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 Spectroscopy | 2024 |
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Conor Rankine
| Photo-induced structural dynamics of o-nitrophenol by ultrafast electron diffraction | 2024 |
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Dr Julien Eng
Conor Rankine
Professor Thomas Penfold
| The photochemistry of Rydberg-excited cyclobutanone: Photoinduced processes and ground state dynamics | 2024 |
|
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-Dithiane | 2023 |
|
Professor Thomas Penfold
Conor Rankine
| A deep neural network for valence-to-core X-ray emission spectroscopy | 2022 |
|
Conor Rankine
Professor Thomas Penfold
| Accurate, Affordable, and Generalisable Machine Learning Simulations of Transition Metal X-ray Absorption Spectra using the XANESNET Deep Neural Network | 2022 |
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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 Spectra | 2022 |
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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 Experiments | 2021 |
|
Emanuele Falbo
Conor Rankine
Professor Thomas Penfold
| On the Analysis of X-ray Absorption Spectra for Polyoxometallates | 2021 |
|
Conor Rankine
Professor Thomas Penfold
| Progress in the Theory of X‐ray Spectroscopy: From Quantum Chemistry to Machine Learning and Ultrafast Dynamics | 2021 |
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Conor Rankine
| Structure retrieval in liquid-phase electron scattering | 2021 |
|
Conor Rankine
Dr Marwah Madkhali
Professor Thomas Penfold
| A Deep Neural Network for the Rapid Prediction of X-ray Absorption Spectra | 2020 |
|
Conor Rankine
Dr Marwah Madkhali
Professor Thomas Penfold
| A Deep Neural Network for the Rapid Prediction of X-ray Absorption Spectra | 2020 |
|
Maymoon Madkhali
Conor Rankine
Professor Thomas Penfold
| The Role of Structural Representation in the Performance of a Deep Neural Network for X-Ray Spectroscopy | 2020 |
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