Awarded Projects

This project will use the computational resources of EuroHPC to perform a systematic study and scale up experiments to build LLMs for four European languages with few resources.

This project concerns the pre-training of a foundational multilingual large language model with billion of parameters that excels at Danish.

Deep reinforcement learning (DRL) has recently emerged as a novel approach to discover efficient control strategies for active flow control (AFC).

This project will establish fundamental physical design rules for defect-induced functional materials for energy conversion and energy-efficient electronics.

The objective of this project is to design bimetallic alloys capable to act as catalysts for the Hydrogen Evolution and Oxygen Reduction Reactions (HER and ORR, respectively) by means of the application of elastic strain engineering.

Fluorescence takes place throughout the natural world. Conventional chemical wisdom proposes that in organic entities, fluorescence occurs in conjugated systems, such as the aromatics.

We plan to study point-defects in low-dimensional systems for the design and control of solid-state spin-defects for quantum technologies.

Antibodies can rapidly evolve in specific response to antigens. During the affinity maturation process the immune system produces antibodies with higher specificity and affinity in response to an antigen.

The project focuses on creating Video-Based Language Models (VBLMs) that can precisely identify, measure, and categorize operator movements within manufacturing environments.