Data-driven discovery of heat release rate markers for premixed NH3/H2/air flames using physics-informed machine learning
Author:
Publisher
Elsevier BV
Subject
Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering
Reference51 articles.
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2. Highly accurate heat release rate marker detection in NH3–CH4 cofiring through machine learning and domain knowledge-based selection integration;International Journal of Hydrogen Energy;2024-08
3. Laser interferometric detection of heat release rate perturbation field of acoustically perturbed laminar premixed flames;Experimental Thermal and Fluid Science;2024-04
4. Heat release surrogates for NH3/H2/N2–air premixed flames;Proceedings of the Combustion Institute;2024
5. A dedicated reduced kinetic model for ammonia/dimethyl-ether turbulent premixed flames;Combustion and Flame;2023-11
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