Awarded Projects

The computing power provided will allow us to train large language models (LLMs) on both phage and bacteria proteins, which will constitute the core of this AI platform.

The Center of Excellence in Combustion (CoEC) is a collective effort to exploit Exascale computing technologies to address fundamental challenges related to the simulation of combustion systems.

The project seeks to develop an advanced RNA language model using cutting-edge artificial intelligence to decode the sequences of both coding and non-coding RNA.

Accurate prediction of relative free energies and reaction rates in zeolite catalysis is highly challenging due to both the complexity of the interatomic interactions as well as the necessity of explicit high-temperature configurational sampling.

Atmospheric chemistry represents a major part of the computational burden of current atmospheric models, notably due to the stiffness of the corresponding ODE system that forces the use of computationally expensive implicit numerical solvers.

Particles in turbulence are omnipresent. Dust in the atmosphere, sediment in marine environments or biological beings in a variety of turbulent flows are just some of the possible examples.

For the first time in the history of climate modelling, it is becoming possible to run multi-year climate simulations with a global atmospheric model that has a horizontal resolution of a few kilometers.

Persistent storage of captured CO2 is essential to reduce the amount of CO2 in the atmosphere. Basalts have been suggested as safe and efficient for carbon storage due to their widespread occurrence (~10 % of the continents) and their reactivity with carbonated water.

Polymers are ubiquitous in our society thanks to their relative ease of synthesis from petroleum-derived intermediates. Indeed, synthetic polymers can be formulated into diverse materials, have shown extreme durability, and can be manufactured at low cost.