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Fast-track decarbonization of existing diesel engines via Hydrogen-Dodecane dual-fuel retrofit: A machine learning and combustion kinetics framework.

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Title: Fast-track decarbonization of existing diesel engines via Hydrogen-Dodecane dual-fuel retrofit: A machine learning and combustion kinetics framework.
Authors: Abbass, Amr1 aa2642@msstate.edu
Source: Green Technologies & Sustainability. Apr2026, Vol. 4 Issue 2, p1-14. 14p.
Database: Academic Search Ultimate
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  Data: Fast-track decarbonization of existing diesel engines via Hydrogen-Dodecane dual-fuel retrofit: A machine learning and combustion kinetics framework.
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  Data: <searchLink fieldCode="JN" term="%22Green+Technologies+%26+Sustainability%22">Green Technologies & Sustainability</searchLink>. Apr2026, Vol. 4 Issue 2, p1-14. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194446354
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        Value: 10.1016/j.grets.2026.100342
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        Text: English
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      – TitleFull: Fast-track decarbonization of existing diesel engines via Hydrogen-Dodecane dual-fuel retrofit: A machine learning and combustion kinetics framework.
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              Text: Apr2026
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