Physics-encoded machine learning for performance and emission prediction of nickel ferrite nanocatalyst and hydrogen-enriched biodiesel in diesel engines
Nguyen Van Minh, Ravikumar Jayabal, Lionus Leo G M, Sekar S, L. Karthikeyan, Robinson Joseph, Jothilakshmi P, S. Rajkumar
原始摘要（英文原文）· Original abstract
enrichment makes WCOB both a high-efficiency and a low-pollution fuel. By allowing for optimization with minimal experimental input, the PE-MTMML scheme acts as a trustworthy digital twin, supporting circular-economy goals and the transition to sustainable, carbon-neutral diesel engines.
Physics-encoded machine learning for performance and emission prediction of nickel ferrite nanocatalyst and hydrogen-enriched biodiesel in diesel engines — 科研速览 Science Skim