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Phone data helps identify human´s impact on biodiversity

Phone data helps identify human´s impact on biodiversity

by jtous | Feb 9, 2024 | Research, Structural and Particle Mechanics, Structural Mechanics

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...
El CIMNE incorpora quatre joves amb el programa “Primera experiència”

El CIMNE incorpora quatre joves amb el programa “Primera experiència”

by jtous | Feb 6, 2024 | Institutional, News

El Centre Internacional de Mètodes Numèrics en Enginyeria (CIMNE) ha incorporat a la seva plantilla quatre joves mitjançant el programa Primera experiència a l’Administració Pública, finançat pel Servei...
9 out of 10 students found CIMNE Winter School “very interesting”

9 out of 10 students found CIMNE Winter School “very interesting”

by jtous | Feb 5, 2024 | In depth, News, Training

More than 9 out of 10 participants in CIMNE’s Winter School 2024, which introduced PhD students into the basics of Computational Methods, say they found the topics covered in the course “very interesting”, and would attend a similar workshop organised by the CIMNE...
[VIDEO AVAILABLE] Severo Ochoa Seminar – “Modelling and simulations of coffee espresso extraction: from microstructural changes to flow properties.” by Marco Ellero

[VIDEO AVAILABLE] Severo Ochoa Seminar – “Modelling and simulations of coffee espresso extraction: from microstructural changes to flow properties.” by Marco Ellero

by jtous | Jan 30, 2024 | Seminars

ABSTRACT Espresso extraction is a complex process involving water flow through a porous medium undergoing time-dependent geometric changes, solubilisation of hydrophilic substances, emulsification of insoluble coffee oils and suspension of coffee cell-wall fragments...
CIMNE’s new machine learning-based software improves dam structural safety

CIMNE’s new machine learning-based software improves dam structural safety

by jtous | Jan 29, 2024 | ML and Models in Hydro-Environmental Engineering, ML in Civil Engineering, Research

Researchers from the Machine Learning in Civil Engineering group at CIMNE have developed a new machine-learning based software to predict structural behaviour of dams, allowing for enhanced decision-making and minimizing safety risks of these critical infrastructures....
26 of 127« First« Previos...246...2425262728...323436...Next »Last »

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