SOURCE-LINKED INTELLIGENCE
Fluctuations in continuum and conservative stochastic partial differential equations
l differential equations Fluctuations are ubiquitous in real world contexts and in key technological challenges, ranging from thermal fluctuations in physical systems, to algorithmic stochasticity in machine learning, to fluctuations caused by small-scale weather patterns in climate dynamics. At the same time, such complex systems are subject to an abundance of influences, and depend on a large variety of parameters and interactions. A systematic understanding of the interplay of stochasticity and complex dynamical behavior aims at unveiling universal properties, irrespectively of the many details of the concrete systems at hand. Its development relies on the derivation and analysis of universal concepts for their scaling limits, capturing not only their average behavior, but also their fluctuations. We propose to analyze the class of conservative stochastic partial differential equations (SPDE) as such a universal fluctuating continuum model, and unveil its mathematical analysis as a fruitful field for the discovery of new mathematical structures and methods. The key challenges targ
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1999864
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.