Data-driven prediction of laminar burning velocity for ternary ammonia/hydrogen/methane/air premixed flames
Author:
Funder
Engineering and Physical Sciences Research Council
Publisher
Elsevier BV
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1. Towards a machine learning model to predict the laminar flame speed of fuel blends and vented gases in lithium-ion batteries;Fuel;2024-12
2. Probabilistic machine learning framework for chemical source term integration with Gaussian Processes: H2/air auto-ignition case;International Journal of Hydrogen Energy;2024-09
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