A CFD dataset for supporting machine-learning-based models of hydrogen-ammonia combustion

Key Points

• The aim is to create a comprehensive CFD dataset that aids in developing machine-learning models for hydrogen-ammonia combustion.
• Compiled a CFD dataset featuring simulation parameters and combustion characteristics.
• Applied machine-learning techniques to analyze combustion behavior.
• Validated the dataset against experimental results for accuracy.
• The dataset improves prediction accuracy for combustion dynamics.
• Machine-learning models demonstrated enhanced understanding of hydrogen-ammonia interactions.
• Results indicate potential for optimizing fuel combinations in combustion systems.