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Improving the segmentation of scanning probe microscope images using convolutional neural networks
(The University of Nottingham, 2020-09-01)
Training/Testing images and trained UNet model for the paper "Improving the Segmentation of Scanning Probe Microscope Images using Convolutional Neural Networks", Farley et al.
Automated Searching and Identification of Self-Organised Nanostructures - Output Images
(The University of Nottingham, 2020-08-05)
A dataset of >5000 variable AFM dewetting images as classified by a machine learning system. This network was trained on specific, automatically labelled simulations of target nanoparticle structures present within the dataset.
DFT data used in training MolE8 chemical ML models
(The University of Nottingham, 2021-11-09)
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Data for paper
"MolE8: Finding DFT Potential Energy Surface Minima Values from
Force-Field Optimised Organic Molecules with New Machine
Learning ...
Catalogue of radial velocity predictions for Gaia DR3
(University of Nottingham, 2022-06-10)
This catalogue accompanies our article (Naik & Widmark, 2022), in which we demonstrate the use of Bayesian neural networks for predicting the missing radial (line-of-sight) velocities of stars observed by the Gaia ...