Awarded Projects

In this study, 3D dynamic earthquake simulations will be used to create a large database of synthetic ground motions in Israel, along the active Dead-Sea Transform plate boundary, explicitly accounting for the covariance in the input parameters.

The interaction between bubbles and turbulence is a crucial aspect of many natural phenomena and industrial processes.

This proposal develops an AI-driven, multi-pollutant model for operational regional air-quality forecasting over Europe, implemented within ECMWF’s Anemoi framework.

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.