Mathematics for materials modelling (MatMat)

Welcome to the website of the Mathematics for materials modelling research group. Our research centres on bringing insight from maths to materials modelling, with the aim to understand simulation error and improve robustness of modelling schemes. This is an interdisciplinary mission and we frequently collaborate with researchers across the fields of mathematics, physics, computer science and materials. At EPFL we are part of both the Institute of Mathematics and the Institute of Materials.

You can learn more about our work by taking a look at our research topics, the software we develop or our recent publications. If you are interested and you want to work with us, feel free to take a look at our our job openings. We also offer student projects at various levels.

Selected news

01.11.2024 Today we welcome Dr. Ivan Maliyov to our group. All the best and happy beginnings! We hope you'll have a smooth upward gradient into more exciting discoveries.


26.11.2024 - 28.11.2024 Jointly with Antoine Levitt (University of Paris Orsay) and Jutho Haegeman (University of Ghent) we will organise a Psi-k workshop at the intersection of quantum physics, computer science and numerical linear algebra / optimisation. The main motivation is to explore current problems in the field and the opportunities of the Julia programming language for researchers from aforementioned communities to join forces. The workshop is titled Julia for numerical problems in quantum and solid-state physics and will take place at the CECAM HQ in Lausanne, Switzerland.


09.03 - 14.03.2025 Jointly with Geneviève Dusson (Besançon) and Benjamin Stamm (Stuttgart) we will organise a workshop at the Mathematical Research Institute Oberwolfach on Mathematical Methods in Quantum Chemistry bringing together the community of mathematicians interested on problems in quantum chemistry and electronic structure theory as well as some application researchers interested in the mathematical aspects of these models.


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Last modified: November 08, 2024. Website built with Franklin.jl and the Julia programming language.