Physics-informed graph neural networks for predicting cetane number with systematic data quality analysis

Review of high efficiency and clean reactivity controlled compression ignition (RCCI) combustion in internal combustion engines

Rolf D. Reitz, Ganesh Duraisamy · Progress in Energy and Combustion Science · 2014 · 1.2K citations · Full text

Engineering, Chemical Engineering, Mechanical Engineering +17

Reactivity Controlled Compression Ignition (RCCI) Heavy-Duty Engine Operation at Mid-and High-Loads with Conventional and Alternative Fuels

Derek Splitter, Reed Hanson, Sage Kokjohn et al. · SAE technical papers on CD-ROM/SAE technical paper series · 2011 · 348 citations

Engineering, Automotive Engineering, Mechanical Engineering +17

Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost

Peter C. St. John, Yanfei Guan, Yeonjoon Kim et al. · Nature Communications · 2020 · 338 citations · Full text

Natural Sciences, Chemistry, Physics +17

Physico-chemical properties and fuel characteristics of oxymethylene dialkyl ethers

Ludger Lautenschütz, Dorian Oestreich, Philipp Seidenspinner et al. · Fuel · 2016 · 189 citations

Natural Sciences, Chemical Engineering, Chemistry +6

Selection Criteria and Screening of Potential Biomass-Derived Streams as Fuel Blendstocks for Advanced Spark-Ignition Engines

Robert L. McCormick, Gina M. Fioroni, Lisa Fouts et al. · SAE international journal of fuels and lubricants · 2017 · 182 citations · Full text

Engineering, Automotive Engineering, Mechanical Engineering +17