This presentation will introduce and exemplify the artificial intelligence tools that my group have been developing with ISIS. These use data-mining and machine-learning methods to build data-science platforms that aid materials characterisation and materials application methods. These include the incorporation of neutron scattering data. I will also show some examples of how these data-science platforms can lead to the data-driven prediction and discovery of new materials.
References to our AI tools
 Swain and Cole, J. Chem. Inf. Model. 2016, 56, 10, 1894–1904 www.chemdataextractor.org
 Mavracic, Court, Isazawa, Elliott, Cole, J. Chem. Inf. Model. 2021, 61, 9, 4280–4289 www.chemdataextractor2.org
 Yildirim, Cole, J. Chem. Inf. Model. 2021, 61, 3, 1136–1149 and Mukaddem, Beard, Yildirim, Cole, J. Chem. Inf. Model. 2020, 60, 5, 2492–2509 www.imagedataextractor.org
 Wilary and Cole, J. Chem. Inf. Model. 2021, https://doi.org/10.1021/acs.jcim.1c01017 www.reactiondataextractor.org