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Awarded Projects (442)
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Thermodynamic modelling routinely guides the research and development (R&D) of new materials and the CALPHAD (CALculation of PHAse Diagrams) method is one of the approaches of choice because of its accuracy achieved with a modest computational effort.

This project aims to train a Medical-Vision Language Model (Med-VLM) that can process medical images and provide high-quality textual answers to medical questions in various languages.

Protein flexibility, motion and conformational transitions form the bedrock of biological processes.

Hybrid halide perovskites (PKs) are of immense importance due to their exceptional optoelectronic applications, including high-performance solar cells, optical quantum technologies, light-emitting devices, and photodetectors.

Emulsions, i.e. matching densities immiscible fluids, are extremely common in industrial and environmental applications. The interface separating the two phases modifies significantly the carrier phase, severely affecting the flow motion.

Marine ecosystems are fundamental components of the Earth system, providing valuable ecosystems services. However, human activities have drastically changed the structure and functioning, as well as the health and productivity of oceans and coastal regions.

This project seeks to further demonstrate the adaptability of VAR beyond single-panel generation, broadening its potential applications in personalized content creation, structured media adaptation, and multimodal learning.

As the Earth’s climate rapidly changes due to the effect of human activities, predictive climate information has become increasingly crucial to help society prepare for these changes.

The atmosphere affects humans in a multitude of ways, from loss of lives due to adverse weather effects to long-term social and economic impacts.

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