Core thread across GEAGAM, MATHROCKS, GEODPG, MSO4SC, and AEROSIMULAT — all centered on Galerkin methods, Petrov-Galerkin methods, and high-order finite element approaches.
BCAM - BASQUE CENTER FOR APPLIED MATHEMATICS
Applied mathematics research center developing advanced numerical simulation methods for geophysics, manufacturing, aerodynamics, and biomedical applications.
Their core work
BCAM is a research center in Bilbao specializing in applied mathematics — they develop advanced numerical methods, simulation tools, and computational models that solve real engineering and scientific problems. Their core competence is translating abstract mathematical theory (partial differential equations, finite element methods, multiscale modeling) into practical computational tools for geophysics, aerodynamics, materials design, and biomedical applications. They are particularly strong in high-performance computing simulations that bridge the gap between mathematical models and industrial or clinical reality.
What they specialise in
GEAGAM, MATHROCKS, and GEODPG all target Earth exploration, porous rock physics inversion, and CO2-sequestration simulation using advanced computational methods.
AEROSIMULAT applies high-order Galerkin methods to aerodynamics and aeroacoustics simulation for next-generation high-speed gas turbines.
ViBRheo develops a virtual blood rheometer for thrombus characterization using multiscale modeling, while ASTROTECH applies computational neuroscience to understand astrocyte function.
ADAM² (their largest-funded project) connects microstructure analysis to manufacturing design, while ENABLE focuses on alloys behavior modeling.
DEDMEE, MinSol-PDEs, HADE, and StableIF demonstrate deep theoretical strength in differential equations, phase transitions, and minimal surfaces.
How they've shifted over time
In their early H2020 period (2015–2018), BCAM focused heavily on foundational applied mathematics — geophysical exploration methods, microscopic evolution equations, monetary policy forecasting, and mathematical optimization for societal challenges. From 2019 onward, their work shifted decisively toward industrial and biomedical applications: additive manufacturing, gas turbine aerodynamics, blood rheology for COVID-19 thrombosis, and computational neuroscience. The theoretical mathematical core remains, but the application domains have become more tangible and commercially relevant.
BCAM is moving from theoretical mathematics toward applied computational tools for manufacturing, energy (CO2 sequestration), and health — making them increasingly relevant for industry partnerships.
How they like to work
BCAM splits evenly between leading and joining projects (7 as coordinator, 7 as participant), showing they are comfortable in both roles depending on the topic. Their coordinated projects tend to be smaller MSCA fellowships and ERC grants (individual researcher-scale), while their participant roles are in larger collaborative research actions. With 67 unique partners across 25 countries, they maintain a broad European network rather than relying on a small circle of repeat collaborators.
BCAM has collaborated with 67 distinct partners across 25 countries, indicating a wide and well-distributed European network. Their participation in MSCA-RISE mobility projects (MATHROCKS, ASTROTECH) further extends their reach to international academic and research institutions.
What sets them apart
BCAM occupies a distinctive niche: they are applied mathematicians who can build the computational methods that engineers and scientists need but cannot develop themselves. Unlike engineering labs that use off-the-shelf simulation software, BCAM creates the underlying algorithms — higher-order finite elements, multiscale models, goal-oriented adaptive solvers. For a consortium, this means they bring the mathematical engine that makes simulations faster, more accurate, or possible at all.
Highlights from their portfolio
- ADAM²Their largest-funded project (EUR 356,740) as coordinator, bridging microstructure analysis with additive manufacturing — a clear move toward industrial application.
- ViBRheoDesigned a virtual blood rheometer for thrombosis characterization with COVID-19 relevance, showing BCAM can rapidly pivot mathematical tools toward urgent health challenges.
- GEODPGTheir most recent coordinated project applies space-time DPG methods to CO2 sequestration — connecting advanced math directly to climate-critical geophysical problems.