Awarded Projects

We request CPU and GPU hours of computational resources for calculating the equilibration of quark-gluon plasma (QGP) in high-energy heavy-ion collisions (HICs).

Norway’s complex terrain, rugged coastline, and high-latitude environment make accurate 0–6 h weather prediction particularly challenging, while societal needs for reliable short-term forecasts, ranging from flash-flood warnings to renewable-energy management, continue to grow.

This project seeks to measure the mesonic non-singlet screening masses projected onto the first non-zero Matsubara frequency across a previously-unexplored temperature range, from 1 GeV to 160 GeV, with sub-percent accuracy in the continuum limit.

The safe disposal of high-level radioactive wastes arising from nuclear power generation requires that the waste is isolated from the geo-/biosphere for extended timescales, in order to protect humans and the environment against ionising radiation.

This project focuses on enhancing the function-calling capabilities of large language models (LLMs) by connecting them to curated APIs using OpenAPI specifications.

This project aims to develop an AI/ML-powered predictive tool to optimize antidepressant efficacy for patients with Major Depressive Disorders (MDD).

Agents such as Claude Code are becoming increasingly powerful for solving software engineering problems, such as fixing an issue in a codebase, or installing a complicated software environment.

Proton fast ignition, a variant of laser-driven inertial confinement fusion potentially providing much higher energy gain with lower driver energies, will be studied with the aim of optimising the conversion efficiency of the short-pulse laser into proton beam energy.

The success of this approach relies on the ability to generate a proton beam with the right characteristics to heat and ignite the isochoric DT fuel assembly. At the same time, a quasi-spherical robust and effective DT fuel compression around a re-entrant cone needs to be achieved.