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Nikolaos Fytas

Dr

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    • Calculated based on no. of publications stored in Pure and citations from Scopus
    20042020

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    Personal profile

    Biography

    Dr Nikolaos Fytas is an Assistant Professor in Computational Statistical Physics at the Department of Mathematics and Physics of Coventry University and a core member of the Fluid and Complex Systems (FCS) Research Centre. Dr Fytas obtained his degree from the Physics Department of the University of Athens in 2003, followed by an MSc in Condensed Matter Physics in 2005, and a PhD in Statistical Physics in 2009, from the same department. After completion of his PhD Dr Fytas worked as a postdoctoral researcher at the Physics Department of the University of Athens, Greece, the Materials Science Department of the University of Patras, Greece, and the Physics Department of the Complutense University of Madrid, in Spain. The topics of his research are relevant to Statistical Physics, Soft Condensed Matter Physics, and Materials Science.

    Dr Fytas has published more than 65 original papers in peer-review journals and has presented his work at several international conferences, many times as an invited lecturer. He is currently a referee for several high impact Physics journals and funding agencies and has received prizes for outstanding research from the Empeirikeion Foundation, the Alexander S. Onassis Foundation, as well as from the States National Scholarship Foundation of Greece. He is currently supported by the Royal Society of the United Kingdom.

     

    Research Interests

    Condensed Matter Physics ; Materials Science/Nanotechnology ; Soft Matter/Polymers/Liquid Crystals ; Statistical Mechanics/Disordered Systems ; Computational Methods in Physics/Optimization Problems

    Vision Statement

    The motivation for all of my research is the accomplishment of a deeper and unified understanding of complexity in physical systems, ranging from the critical properties of magnetic models and soft-matter macromolecules to the phase behaviour and structure formation of biologically-oriented systems, via the use of a variety of sophisticated analytical and numerical tools.

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