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Awarded Projects (315)
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In the context of aeronautics and air transport, the industry has to face new challenges regarding performance and sustainability.
This project proposes a refined framework for automated, efficient, and transferable dataset generation called Smart Configuration Sampling. SCS employs active learning strategies, utilizing ensemble model deviations to guide the iterative selection of high-value atomic configurations.
Colloidal Quantum Dots (QDs) are nano-sized crystallites notable for their exceptional semiconductive properties, which were recently acknowledged with the Nobel Prize in Chemistry.
This project focuses on the design of lipid nanoparticles (LNPs) for efficient RNA-based therapeutics delivery, addressing critical challenges in the field.
Radiotherapy (RT) is one of the most frequently used methods for cancer treatment (above 50% of patients will receive RT).
This project is concerned with the general problem of nano-pollutant removal. The final objective is to provide a reliable framework for the study of aggregation and removal of suspended solids by means of Nanobubbles.
Contact line phenomena entail multi-physics processes that operate at disparate scales, often posing formidable large-scale computing challenges.
DigiFarm is one of Norway's leading ag-tech startups, established in 2019 who's core focus is on developing deep neural network models in agriculture leveraging SatEO data.
Numerical weather prediction (NWP) plays a critical role for European societies to avoid weather-induced harm and improve benefits, e.g. in the agricultural sector or for renewable energies.
Accurate medium-range weather prediction is of critical importance for European societies to prevent weather-induced loss of life and economic damages.