Edinburgh Research Explorer

Graeme Ackland

Chair in Computer Simulation

  1. Developing an interatomic potential for martensitic phase transformations in zirconium by machine learning

    Zong, H., Pilania, G., Ding, X., Ackland, G. J. & Lookman, T., 24 Aug 2018, In: npj Computational Materials. 4, 1, 48.

    Research output: Contribution to journalArticlepeer-review

  2. hcp → ω phase transition mechanisms in shocked zirconium: A machine learning based atomic simulation study

    Zong, H., Luo, Y., Ding, X., Lookman, T. & Ackland, G. J., 1 Jan 2019, In: Acta Materialia. 162, p. 126-135 10 p.

    Research output: Contribution to journalArticlepeer-review

  3. Nucleation mechanism for hcp→bcc phase transformation in shock compressed Zr

    Zong, H., Ding, X. & Ackland, G., 22 Apr 2020, In: Physical Review B. 101, 14, 144105.

    Research output: Contribution to journalArticlepeer-review

  4. Understanding high pressure hydrogen with a hierarchical machine-learned potential

    Zong, H., Wiebe, H. & Ackland, G. J., 6 Oct 2020, In: Nature Communications. 11, 5014.

    Research output: Contribution to journalArticlepeer-review

Previous 1...22 23 24 25 26 Next