Jose Maria Cela Espin

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Predicting novel materials with specific desirable properties is a major aim of ab initio computational materials science (aiCMS) and an urgent requirement of basic and applied materials science, engineering and industry. Such materials can have immense impact on the environment and on society, e.g. on energy, transport, IT, medical-device sectors and much more. Currently,...

This project is going to apply exascale HPC techniques to different energy industry simulations of critical interest for Mexico. ENERXICO will give solutions for oil & gas industry in upstream, midstream and downstream problems, wind energy industryand combustion efficiency for transportation. This project brings together the main stakeholders of the energy industry...

The main goal of MaX is to allow the pre-exascale and exascale computers expected in Europe in the 2020 s to meet thedemands from a large and growing base of researchers committed to materials discovery and design. This goal will beachieved by:

  • an innovative software development model, based on the concept of separation of concerns, that will enable...

The main objective of this Marie Curie RISE action is to improve and exchange interdisciplinary knowledge on applied mathematics, high performance computing, and geophysics to be able to better simulate and understand the materials composing the Earth's subsurface.

This is essential for a variety of applications such as CO2 storage, hydrocarbon...

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