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CIMNE experts use Machine Learning to streamline reservoir risk assessment
Researchers at CIMNE's Machine Learning in Civil Engineering Research Group and the Flumen Institute have developed a new machine-learning based tool to classify off-stream reservoirs based on their potential risk of rupture. The work, carried out as part of the ACROPOLIS project, used high per...

CIMNE unveils a guide with funding opportunities for researchers
The International Centre for Numerical Methods in Engineering (CIMNE) has published a “one-stop reference guide” summarizing all funding opportunities for researcher careers at CIMNE, ranging from junior PhD students to established faculty. The document, authored by CIMNE’s Projec...

EU’s new maritime carbon tax “not effective” at reducing emissions, experts warn
The new European Emissions Trading System (ETS), which imposes emission-based tariffs on ships sailing in European waters from January 1st is “not effective” at reducing carbon emissions, according to researchers from the International Centre for Numerical Methods in Engineering (CIMNE)....

CIMNE’s Dr. Pere-Andreu Ubach Advocates for Inflatable Breakwaters in Coastal Defence
Dr. Pere-Andreu Ubach, from the Civil and Environmental Engineering research group at CIMNE, this week defended the need to validate the effectiveness of inflatable breakwaters to minimize coastline erosion and promote the recovery of seagrass meadows. Speaking for local station Canal Blau of the G...

Phone data helps identify human´s impact on biodiversity
Researchers from the Center for Ecological Research and Forestry Applications (CREAF), the International Centre for Numerical Methods in Engineering (CIMNE) and other Catalan and Spanish institutions have developed a novel methodology to identify threats to biodiversity. In a study released in the ...

CIMNE experts reduce weight of chassis components of electric vehicles by 40%
Researchers at the International Centre for Numerical Methods in Engineering (CIMNE) have proposed novel material solutions based on high-strength steels, composites and hybrid materials to reduce the weight of electric car chassis components by 40%. The research was conducted as part of the Europe...

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