SOURCE-LINKED INTELLIGENCE
Numerical Experiments in Particle oceanic TUrbulence based on NEw computational and analytical perspectives
ive, the foundation upon which it is constructed consists of computational science, fundamentals of fluid mechanics and turbulence, physics-based modeling, and data science harnessed through advanced machine learning techniques. Each of these elements is designed to be pushed beyond the boundaries of the current state-of-the-art to yield novel scientific and technological insights that will drive socio-economic advancements. The project's primary goals encompass: (i) the extension of an advanced computational solver to simulate microparticles within ocean turbulence, in conjunction with various biophysical models, (ii) the better understanding of the distribution and aggregation of microparticles in turbulence, and (iii) pioneering the utilization of data-driven techniques to obtain reduced order models and unravel the intricate nonlinear behavior of microparticles in turbulent environments. In this regard, the candidate, through this fellowship, plans to boost his academic career by integrating top-tier research with training, dissemination and network-creation activities. Marine mi
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 165312.96
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.