Our research

The MLMS expertise ranges from accurate electronic-structure techniques such as density functional theory (DFT) and beyond, e.g. the Bethe-Salpeter equation (BSE), time-dependent DFT (linear response and real-time), Monte-Carlo methods, many-body theory, classical molecular dynamics, and various statistical tools.

We are studying materials in all dimensions: 0D, such as nanoparticles and quantum dots; 1D, nanowires, nanorods and nanotubes; 2D, such as surfaces, standalone sheets, such as graphene layers and all the variety of layered materials, possibly including topological defects; 3D bulk properties; and "4D", with significant time-dependent structural changes of the chemophysical properties. We have a strong interest in analysing phase transitions (liquid to solid and solid to liquid) as well as in characterising liquid phases.

Developing ML potentials 

Design of Nanoparticles 

                                     Nanoscale (2021)

JPCM (2019)

JCP (2020)

JPCL (2022)

Dimers of Core-softened Particles

Phys. Rev. E (2021)


Crystal growth

Characterization of nanoparticles

Automatic desing of metamaterials

Predicting materials failure using AI

Vibrational properties of glasses

Structure and rheology of random packings

Elasticity and plasticity of disordered solids

Theory of high-temperature superconductors

A few of the codes that we use and/or develop