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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.
This proposal develops an AI-driven, multi-pollutant model for operational regional air-quality forecasting over Europe, implemented within ECMWF’s Anemoi framework.
Contact line phenomena entail multi-physics processes that operate at disparate scales, often posing formidable large-scale computing challenges.
Probabilistic (p-bit) and oscillator-based computing are leading routes to energy-efficient AI and optimisation hardware, both built from nanomagnetic devices whose figures of merit emerge only from finite-temperature micromagnetic dynamics. This project designs such hardware.
This project will develop a workflow to discover and engineer RNA-driven retroelement-derived gene writers. Building on the team's preliminary LINE-1 work, where genome mining, protein language models and reinforcement learning enabled the discovery and design of hyperactive ORF2p variants.
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.