Projects
Understanding, predicting, and discovering the properties and performance of materials is key to delivering the technologies that power our economy and allow for the sustainable development of our society. For this reason, materials simulations have become one ofthe most intensive and fast growing domains for high-performance computing worldwide, with a recognized European...
CASTIEL 2 will continue the mission of the CASTIEL H2020 project to coordinate and support the National Competence Centre initiative and in addition will now coordinate and support the Centres of Excellence in HPC. The activities of CASTIEL 2 will coordinate and support the NCC and CoE activities at the European level, and foster collaborations between NCCs and CoEs (and...
Understanding, predicting, and discovering the properties and performance of materials is key to delivering the technologies that power our economy and allow for the sustainable development of our society. For this reason, materials simulations have become one of the most intensive and fast-growing domains for high-performance computing worldwide, with a recognized European...
This proposal shapes the next (third) phase of the ESiWACE Centre of Excellence. As the ability to run Earth system models at ~1km resolution efficiently on EuroHPC supercomputers has already been established in previous phases for specific model configurations, and as developments are now picked up by science-driven projects, this proposal will focus on the support of the...
Life Science is turning into a data-driven and HPC dependent research field. BioTeam/Hyperion s 2022 estimates show that 95% of Life Science projects are being dependent on HPC. The rapid response to Covid-19 showed how an EU collaboration between pharma industry, Life Science researchers and supercomputing centres resulted in several newly identified hits now undergoing...
MODELAIR proposes a combination of theoretical, experimental, numerical, and data-driven science that will simulate, control and design new disruptive technologies for future sustainable cities and will provide specialized training to 10 doctoral candidates (DCs) to make these new technologies available to city Councils and relevant industrial sectors.
A growing number of applications rely on AI-based solutions to carry-out mission-critical tasks, many of which are of temporal nature, dealing with ever-evolving flows of information. Crucial for mitigating threats and taking advantage of opportunities in such domains, is the ability to forecast imminent situations and critical complex events ahead of time. EVENFLOW will...
Despite clear signs that the impacts of climate change are escalating, the global response has been inadequate. Traditional scientific efforts have fallen short of providing knowledge and tools that have been broadly applied in decision-making, and innovative approaches to knowledge translation are needed.
To catalyse climate action in Europe to protect public...
Deep learning (DL) is widely used to solve classification problems previously unchallenged, such as face recognition, and presents clear use cases for privacy requirements. Homomorphic encryption (HE) enables operations upon encrypted data, at the expense of vast data size increase. RAM sizes currently limit the use of HE on DL to severely reduced use cases. Recently emerged...
Biomaterials in healthcare span almost all medical fields, ranging from recognised materials to high-innovative innovative and multifunctional biomaterials. One of the main challenges is to provide accessible and well-structured data on biomaterials for all relevant practitioners and user groups. BIOMATDB+ aims to create an advanced database for biomaterials providing...