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BCAM obtains funding for six projects through the PID 2024 CALL from the State Research Agency

This call is aimed at funding scientific research and knowledge advancement, both in non-oriented areas and in areas oriented towards solving specific problems.  BCAM has successfully obtained funding for six of its research projects through the prestigious PID 2024 (Proyectos de Generación de…

About the center

Book of Abstracts for ESGI 188 now available

  • The 188th European Study Group with Industry (ESGI 188), hosted from May 26 to 30 at Bilbao's B Accelerator Tower (BAT), has concluded with the release of its Book of Abstracts.

About the center

Researchers from BCAM, ARAYA INC., The University Of Sussex, and The University Of Kyoto develop a new class of Artificial Intelligence models called CURVED NEURAL NETWORKS

  •  What if Artificial Intelligence could remember things not just well, but faster or more reliably?

BCAM people

BCAM’s postdoctoral researcher Verónica Álvarez Castro, awarded as one of the Young Researchers in Computer Science in the The Research Awards of the Scientific Society of Computer Science of Spain (SCIE )-Fundación BBVA

  • The jury of these awards has taken into account her contributions to machine learning in the field of adaptation to temporal changes, both in its mo

Latest publications

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Modelling swelling effects in real espresso extraction using a 1-dimensional coarse-grained model

Mo, Chaojie; Navarini, Luciano; Liverani, Furio Suggi; Ellero, Marco; Ellero, M. (2024-03-01)

Swelling of coffee particle is difficult to measure and control, but it could have significant effects on espresso extraction. In this article, we incorporate a particle-level swelling model to a one dimensional bed-level ex...

A SEMI-ANALYTICAL SOLUTION FOR THE LUBRICATION FORCE BETWEEN TWO SPHERES APPROACHING IN VISCOELASTIC FLUIDS DESCRIBED BY THE OLDROYD-B MODEL UNDER SMALL DEBORAH NUMBERS

Rosales-Romero, A; Vazquez-Quesada, A; Ellero, M.; López-Aguilar, J. E. (2025-01-01)

Viscoelastic fluids play a critical role in various engineering and biological applications, where their lubrication properties are strongly influenced by relaxation times ranging from microseconds to min- utes. Although t...

Simulating non-Brownian suspensions with non-homogeneous Navier slip boundary conditions

Moreno, D.; Balboa, F.; Moreno, N.; Ellero, M. (2025-01-01)

Fluid-structure interactions are commonly modeled using no-slip boundary conditions. However, small deviations from these conditions can significantly alter the dynamics of sus- pensions and particles, especially at the mi...

A GENERIC-guided active learning SPH method for viscoelastic fluids using Gaussian process regression

Dong, X.; Nieto, D.; Ouyang, J.; Wang, X.; Ellero, M. (2025-01-01)

When applying machine learning methods to learn viscoelastic constitutive relations, the poly- mer history dependence in viscoelastic fluids and the generalization ability of machine learn- ing models are challenging. In t...