Gareth Tribello
    Phone: +44 (0)28 9097 1444

    For media contact email
    or call +44(0)2890 973091.

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    Research Interests

    In my research I use machine learning algorithms to understand the high-dimensional data output by atomistic molecular dynamics simulation and to enhance the rate at which phase space is sampled.  This can help us to understand why the atoms in biomolecules, materials and clusters adopt the structures they do, which can in turn allow us to suggest design strategies for specialized materials and molecules.  More information on my research is available on the Atomistic Simulation Centre website. 

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    Frequent Journals

    • Journal of Chemical Physics

      ISSNs: 0021-9606

      Additional searchable ISSN (Electronic): 1089-7690

      American Institute of Physics Publising LLC

      Scopus rating (2018): CiteScore 2.85 SJR 1.159 SNIP 0.969


    • Journal of chemical theory and computation

      ISSNs: 1549-9618

      American Chemical Society

      Scopus rating (2018): CiteScore 5.7 SJR 2.236 SNIP 1.562


    • J. Phys. Chem. B

      ISSNs: 1520-6106, 1089-5647

      Additional searchable ISSN (Electronic): 1520-5207

      American Chemical Society

      Scopus rating (2018): CiteScore 3.03 SJR 1.109 SNIP 0.965


    • Proceedings of the National Academy of Sciences

      ISSNs: 0027-8424

      Additional searchable ISSN (Electronic): 1091-6490


      Scopus rating (2018): CiteScore 8.58 SJR 5.601 SNIP 2.539


    • Journal of Physics: Condensed Matter

      ISSNs: 0953-8984

      Additional searchable ISSN (Electronic): 1361-648X

      IOP Publishing Ltd.

      Scopus rating (2018): CiteScore 2.77 SJR 0.943 SNIP 0.99


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    Contribution to conference papers, events and activities

    ID: 2751608