Awarded Projects

AtomBagFM is designed to support a wide range of downstream applications, including molecular property prediction, generative chemistry, and drug discovery.

With the downscaling of silicon transistors into sub 5 nm size, quantum effects in conductivity start to play a major role, making the transistors increasingly unreliable. Emerging technologies in this field rely on crystalline oxides such as LiNbO3 or BaTiO3.

The electrochemical transformation of CO2 with renewable electricity to high energy density compounds (fuels) holds the key to reach sustainability goals SDG 7 closing the carbon cycle and mitigating the intermittent nature of the renewables.

Knowledge of transformation mechanisms and related free-energy barriers in pressure-induced solid-solid first-order phase transitions is of fundamental interest but also of major importance for technological applications.

This project introduces a secure edge-deployed Multi-Agent GPT-enhanced collaboration framework tailored for Aerospace, Satellite Communications (SatCom), Terrestrial Transport Networks (TTN), and Non-Terrestrial Networks (NTN) Supply Chains.

Aviation plays a crucial role in connecting people and goods but it is also an important contributor to negative effects such as the global CO2 release as well as air pollution.

Traditional large-scale AI models, operated by hyperscalers or private companies directly (ie. OpenAI and Anthropic), often fall short in meeting these sector-specific requirements while raising concerns about data privacy, vendor lock-in, and cost-effectiveness.

Large Language Models have revolutionised work with breakthrough capabilities. They can perform tasks without explicit training, making them incredibly powerful.

Understanding the origin of globular clusters (GCs) is at the frontier of astronomy.