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Methods and Applications in Fluorescence|March 10, 2017
Photophysics of thermally activated delayed fluorescence moleculesFernando B Dias, Thomas J Penfold, Andrew P MonkmanPhysical Chemistry Chemical Physics : PCCP|April 4, 2017
Photophysics of a copper phenanthroline elucidated by trajectory and wavepacket-based quantum dynamics: a synergetic approachG Capano, T J Penfold, M Chergui, et al.Journal of Chemical Theory and Computation|January 25, 2024
Spin-Vibronic Intersystem Crossing and Molecular Packing Effects in Heavy Atom Free Organic PhosphorThomas Pope, Julien Eng, Andrew Monkman, et al.Physical Chemistry Chemical Physics : PCCP|September 12, 2024
Partial density of states representation for accurate deep neural network predictions of X-ray spectraClelia Middleton, Basile F E Curchod, Thomas J PenfoldAdvances in Colloid and Interface Science|March 3, 2007
Polymer/surfactant interactions at the air/water interfaceD J F Taylor, R K Thomas, J PenfoldThe Journal of Physical Chemistry Letters|May 18, 2016
High-Efficiency Iron Photosensitizer Explained with Quantum Wavepacket DynamicsMátyás Pápai, György Vankó, Tamás Rozgonyi, et al.Physical Chemistry Chemical Physics : PCCP|April 22, 2021
Enhancing the analysis of disorder in X-ray absorption spectra: application of deep neural networks to T-jump-X-ray probe experimentsMarwah M M Madkhali, Conor D Rankine, Thomas J PenfoldMolecules (Basel, Switzerland)|June 18, 2020
The Role of Structural Representation in the Performance of a Deep Neural Network for X-Ray SpectroscopyMarwah M M Madkhali, Conor D Rankine, Thomas J PenfoldThe Journal of Physical Chemistry. A|May 6, 2020
A Deep Neural Network for the Rapid Prediction of X-ray Absorption SpectraC D Rankine, M M M Madkhali, T J PenfoldScience (New York, N.Y.)|February 3, 1995
Neutron reflection study of bovine beta-casein adsorbed on OTS self-assembled monolayersG Fragneto, R K Thomas, A R Rennie, et al.Pageof 27