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Physics-encoded machine learning for performance and emission prediction of nickel ferrite nanocatalyst and hydrogen-enriched biodiesel in diesel engines

Publication Type : Conference Proceedings

Publisher : Royal Society of Chemistry (RSC)

Source : RSC Advances

Url : https://doi.org/10.1039/d5ra09336h

Campus : Chennai

School : School of Engineering

Year : 2026

Abstract : NiFe 2 O 4 nanocatalysis and H 2 enrichment synergistically enhance biodiesel combustion, while a physics-encoded multi-task machine learning framework ensures thermodynamically consistent performance and emission prediction.

Cite this Research Publication : Nguyen Van Minh, Ravikumar Jayabal, Lionus Leo G M, Sekar S, Karthikeyan L, Robinson Joseph, Jothilakshmi P, Rajkumar Sivanraju, Physics-encoded machine learning for performance and emission prediction of nickel ferrite nanocatalyst and hydrogen-enriched biodiesel in diesel engines, RSC Advances, Royal Society of Chemistry (RSC), 2026, https://doi.org/10.1039/d5ra09336h

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