Scientific-Technical Areas
Thematic lines
The objective of this line is the development of algorithms, data analysis tools, and computational modeling, as well as the utilization of massive processing capabilities required by CIEMAT projects to progress at the forefront of knowledge.
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Safety and risk in complex systems: studies in culture, organizations and human factors
Scientific Computing
Amenazas y Leyes en el Ámbito Cibernético para instalaciones RAdiológicas y Nucleares
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Scientific Computing
Ampliación de las capacidades del nodo de datos PIC de la RES (PIC)
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Scientific Computing
Ampliación de las capacidades del nodo de datos PIC de la RES (XULA)
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Development of models, scenarios and analysis of sustainability of energy technologies and systems
Scientific Computing
Energy System Modelling for Transition to a net-Zero 2050 for EU via REPowerEU
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Scientific Computing
Fostering the european energy transition with exascale
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Energy Efficiency in Building Construction
Scientific Computing
Modelling the role of circular economy construction value chains for a carbon-neutral Europe
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Ionizing Radiation Dosimetry
Scientific Computing
NEutrones Rápidos para la Explotación de Instalaciones con Dispositivos Atómicos
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Scientific Computing
Smart Use of Novel Digital Tools for advanced performance and reduced costs in CSP tower plants
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Scientific Computing
Social research on sustainability, environmental and technological risks
SUStainability development and cost-reduction of hybrid renewable energies powered Hydrogen stations by risk-based multidisciplinary approaches
