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

RSC Advances 2026 Open access

Read full text
Authors: Nguyen Van Minh, Ravikumar Jayabal, Lionus Leo G M, Sekar S, L. Karthikeyan, Robinson Joseph, Jothilakshmi P, S. Rajkumar
DOI: 10.1039/d5ra09336h
Cited by: 4
References: 140

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.

Fields of Study & Subjects

Biodiesel Production and Applications Electrocatalysts for Energy Conversion Catalytic Processes in Materials Science

Publication details

Journal / source
RSC Advances
Publisher
Royal Society of Chemistry (RSC)
Volume
16
Issue
12
Pages
10798–10821
Publication date
1 January 2026
Language
EN