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  1. Article › Research › Peer-reviewed
  2. Predicting the formation and stability of single phase high-entropy alloys

    King, D. J. M., Middleburgh, S. C., McGregor, A. G. & Cortie, M. B., 1 Feb 2016, In: Acta Materialia. 104, p. 172-179

    Research output: Contribution to journalArticlepeer-review

  3. Published

    Predicting the impacts of Carcinus maenas predation on cultivated Mytilus edulis beds.

    Murray, L. G., Seed, R. & Jones, T., 1 Dec 2007, In: Journal of Shellfish Research. 26, 4, p. 1089-1098

    Research output: Contribution to journalArticlepeer-review

  4. Published

    Predicting the impacts of climate change on Papio baboon biogeography: Are widespread, generalist primates 'safe'?

    Hill, S. E. & Winder, I., Jul 2019, In: Journal of Biogeography. 46, 7, p. 1380-1405

    Research output: Contribution to journalArticlepeer-review

  5. Predicting the impacts of climate change on the distribution of threatened forest-restricted birds in Madagascar

    Andriamasimanana, R. H. & Cameron, A., Apr 2013, In: Ecology and Evolution. 3, 4, p. 763-769 7 p.

    Research output: Contribution to journalArticlepeer-review

  6. Published

    Predicting the occurrence of the quokka, Setonix brachyurus (Macropodidae : Marsupialia), in Western Australia’s northern jarrah forest

    Hayward, M., De Tores, P. J., Dillon, M. J. & Banks, P. B., 2007, In: Wildlife Research. 34, 3, p. 194-199

    Research output: Contribution to journalArticlepeer-review

  7. Published

    Predicting the potential threat of Casuarina equisetifolia to three endemic plant species on the Turks and Caicos Islands

    Hardman, C. J., Williams, S., Manco, B. N. & Hamilton, M. A., 2 Apr 2012, In: Oryx. 46, 02, p. 204-212

    Research output: Contribution to journalArticlepeer-review

  8. Published

    Predicting the severity of the grass pollen season and the effect of climate change in Northwest Europe

    Kurganskiy, A., Creer, S., De Vere, N., Griffith, G. W., Osborne, N. J., Wheeler, B. W., McInnes, R. N., Clewlow, Y., Barber, A., Brennan, G., Hanlon, H. M., Hegarty, M. J., Potter, C., Rowney, F. M., Adams-Groom, B., Petch, G. M., Pashley, C. H., Satchwell, J., De Weger, L. A., Rasmussen, K., Oliver, G., Sindt, C., Bruffaerts, N., The PollerGEN Consortium & Skjoth, C. A., 26 Mar 2021, In: Science Advances. 7, 13, eabd7658.

    Research output: Contribution to journalArticlepeer-review

  9. Published

    Predicting the spatial expansion of an animal population with presence-only data

    Barton, O., Healey, J., Cordes, L., Davies, A. & Shannon, G., Nov 2023, In: Ecology and Evolution. 13, 11, p. e10778 e10778.

    Research output: Contribution to journalArticlepeer-review

  10. Published

    Predicting the spectral information of future land cover using machine learning

    Patil, S., Gu, Y., Dias, A., Steiglitz, M. & Turk, G., 2017, In: International Journal of Remote Sensing. 38, p. 5592-5607

    Research output: Contribution to journalArticlepeer-review

  11. Published

    Predicting the thermal expansion of body-centred cubic (BCC) high entropy alloys in the Mo-Nb-Ta-Ti-W system

    Wilson, J., Evitts, L. J., Fraile, A., Wilson, R., Rushton, M., Goddard, D., Lee, B. & Middleburgh, S., 1 Jul 2022, In: Journal of Physics: Energy. 4, 3, 034002.

    Research output: Contribution to journalArticlepeer-review