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Research group

Mathematical Modelling

Textures in a mesoscopic system made of a nematic liquid crystal doped with nanoparticles.

The modelling group focuses on mathematical modelling across science and engineering, including physics (from the physics of quanta and strings to that of liquid crystals), chemistry (modelling lithium-ion batteries and solar cells), engineering (controlling sound direction), biology, medicine and healthcare (from stem cell population dynamics to medical imaging and healthcare models).

Part of the Applied Mathematics and Theoretical Physics, Mathematical sciences

About

The underlying theme of the group is the application of rigorous mathematical models to quantitatively analyse and understand in depth problems in science and engineering. We have a wide range of mathematical expertise and techniques in modelling, from partial differential equations, to agent modelling, dynamical systems, or topological methods. Often, the research take place in close interdisciplinary collaborations. As an example, we have developed a very successful model of lithium-ion batteries by combining classical differential equation modelling with asymptotic analysis and state of the art coding to produce a software package that is both fast and comprehensive.  Other examples are the application of asymptotic analysis in controlling aircraft sounds, stochastic methods in modelling gene expression and agent-based techniques in healthcare.  We apply topological data analysis to model phase transitions of mesoscopic physical systems, and to enhance and up-scale optical imaging in medical applications, as precursors to efficient machine learning and data analysis.

Research highlights

Image of graphene

Disorder is Good – Taming disorder in self-assembled materials with topology

AI, big data and analytics
Environment, sustainability and clean growth
Instead of fighting disorder, we should identify structures that are ordered enough to perform the required function. We have combined cutting edge experiments with breakthrough methods from topological data analysis to quantify emerging structure in apparently disordered nano-assemblies and classify their response to light. We aim to design a new generation of controllable nanosystems at a fraction of the cost of the current methods.

People, projects, publications and PhDs

People

Professor Adam Pound

Professorial Fellow-Research

Research interests

  • General Relativity
  • Sources of gravitational waves
  • Black holes

Accepting applications from PhD students

Connect with Adam

Email: [email protected]

Tel: +44 23 8059 7375

ORCID

Dr Alexander Tyukov

Research Fellow
Connect with Alexander

Email: [email protected]

Mr Altay Etkin

Research interests

  • AdS/CFT correspondence
  • Holographic black holes
  • Quantum information theory
Connect with Altay

Email: [email protected]

Tel: +44 7388 616665

Google Scholar
ORCID

Dr Andreas Schmitt

Associate Professor

Research interests

  • Quantum chromodynamics
  • Superconductivity and superfluidity of dense nuclear and quark matter

Accepting applications from PhD students

Connect with Andreas

Email: [email protected]

Tel: +44 23 8059 5114

ORCID

Professor Benjamin Macarthur

Personal Chair

Research interests

  • Mathematical modeling
  • Machine learning 
  • Networks

Accepting applications from PhD students

Connect with Benjamin

Email: [email protected]

Tel: +44 23 8059 5135

ORCID

Dr Benjamin Withers

Principal Research Fellow

Research interests

  • Gravity
  • Holography
  • String theory

Accepting applications from PhD students

Connect with Benjamin

Email: [email protected]

Tel: +44 23 8059 3652

ORCID

Professor Carlos Lobo

Professor

Research interests

  • Superfluidity (rotational aspects, microscopics)
  • Superconductivity (multicomponent pairing theory, FFLO states)
  • Condensed Matter aspects of ultracold atoms (topological states in lattices)

Accepting applications from PhD students

Connect with Carlos

Email: [email protected]

Tel: +44 23 8059 3681

ORCID
Twitter

Dr Carlos Mafra

Principal Research Fellow

Research interests

  • Covariant quantization of the superstring
  • Pure spinor formalism
  • Superstring scattering amplitudes

Accepting applications from PhD students

Connect with Carlos

Email: [email protected]

Tel: +44 23 8059 5148

Google Scholar
ORCID

Professor Carsten Gundlach

Professor of Mathematical Physics

Research interests

  • Classical general relativity
  • Numerical relativity
  • Critical phenomena in gravitational collapse

Accepting applications from PhD students

Connect with Carsten

Email: [email protected]

Tel: +44 23 8059 5116

ORCID

Mr Chandramouli Chowdhury

Senior Research Assistant

Research interests

  • Cosmological Correlators
  • Scattering Amplitudes
  • Logarithmic corrections to Black Hole Entropy
Connect with Chandramouli

Email: [email protected]

Mathematical modelling allows you to see the world as an interconnected whole, with causes and effects, so that we can fulfil knowledgeably our responsibility to sustain it.
Emeritus Professor Giampaolo D'Alessandro

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