• Room LG.026 - New Physics

    United Kingdom

Accepting PhD Students

PhD projects

I am open to PhD applications that involve applications of automatic simulation.


Research activity per year

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Personal profile

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. 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


Dive into the research topics where Gareth Tribello is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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