SOURCE-LINKED INTELLIGENCE
Protocol for data-driven Manifold generation, validation, and utilization in high-fidelity combustion simulations
neral conditions and current methods remain largely heuristic. ProtoMan seeks to unlock the potential of manifold-based models leveraging the synergy between recent advances in 2D flamelet theory and machine learning techniques. Implementing a systematic protocol for data-driven manifold generation, assessment, and utilization, the project aims to make these highly efficient models more accessible, contributing to advancements in energy systems, environmental protection, fire safety, and modern industrial processes.
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1498151
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T04:21:15.460Z. This is not the publication date.