Edinburgh Research Explorer

Graeme Ackland

Chair in Computer Simulation

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  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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-review

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