All Stories

  1. How can machine learning be used for accurate representations and predictions of fracture nucleation in zirconium alloys with hydride populations?

    Article • APL Materials, July 2023, American Institute of Physics

    Professor Mohammed A Zikry

  2. Microstructural Modeling Electromagnetic

    Article • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, December 2015, Royal Society Publishing

    Professor Mohammed A Zikry

  3. Orientation relationships between coherent interfaces in hcp–fcc systems subjected to high strain-rate deformation and fracture modes

    Article • Journal of Materials Research, August 2015, Cambridge University Press

    Professor Mohammed A Zikry

  4. Modelling of shape memory polymer sheets that self-fold in response to localized heating

    Article • Soft Matter, January 2015, Royal Society of Chemistry

    Professor Mohammed A Zikry

  5. A model for determining initial dislocation-densities associated with martensitic transformations

    Article • Materials Science and Technology, October 2011, Taylor & Francis

    Professor Mohammed A Zikry