The Yaliraki group is interested in the emergent properties of self-assembling systems in confined environments. Examples from biology include the mechanisms of fibril and viral capsid formations. Another area of interest is the electronic properties of molecular scale junctions. A unifying theme of our work is how geometry and topology affect the dynamics of systems at different scales. Emphasis is on coarse-graining and system reduction approaches.
Hodges M, Yaliraki SN, Barahona M, 2019, Edge-based formulation of elastic network models, Physical Review Research, Pages:033211-033211
et al., 2019, Data-driven unsupervised clustering of online learner behaviour ￼, Npj Science of Learning, Vol:4, ISSN:2056-7936
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et al., 2019, Targeting RSK4 prevents both chemoresistance and metastasis in lung cancer, AACR Annual Meeting on Bioinformatics, Convergence Science, and Systems Biology, AMER ASSOC CANCER RESEARCH, ISSN:0008-5472
et al., 2019, Targeting RSK4 prevents both chemoresistance and metastasis in lung and bladder cancer, FEBS Open Bio, WILEY, Pages:330-330, ISSN:2211-5463