Brian C Kaul Research Staff Contact 865.341.1299 | kaulbc@ornl.gov All Publications The future of ship engines: Renewable fuels and enabling technologies for decarbonization... Dilute Combustion Control Using Spiking Neural Networks Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion Stability, Combustion, and Compatibility of High-Viscosity Heavy Fuel Oil Blends with a Fast Pyrolysis Bio-Oil Enterprise: a reduced-scale, flexible fuel, single-cylinder crosshead marine diesel research engine... Decarbonizing Shipping with Ammonia-Fueled Engines Comparison of a full-scale and a 1:10 scale low-speed two-stroke marine engine using computational fluid dynamics Comparison of a Full-Scale and a 1:10 Scale Low-Speed Two-Stroke Marine Engine Using Computational Fluid Dynamics Biofuels as Heavy Fuel Oil Substitutes in the Maritime Sector: Findings and Potential Pathways Reinforcement learning applied to dilute combustion control for increased fuel efficiency... Analysis of Real-World Preignition Data Using Neural Networks... Hazard and Operability Study for the Ammonia Fuel Systems at the National Transportation Research Center Lubricant impacts on piston deposit formation in the Enterprise marine diesel research engine... Computational Requirements in Clean Energy and Manufacturing: Summary report of the virtual workshop held on June 28-29, 2021 Investigation of Lubricant Additive Interactions on Gasoline Particulate Filters Measurement of Piston Deposit Thickness Using Laser Profilometer Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators Computational exploration of bio-oil blend effects on large two-stroke marine engines Fuel Stratification Effects on Gasoline Compression Ignition with a Regular-Grade Gasoline on a Single-Cylinder Medium-Duty D... Stability, rheological and combustion properties of biodiesel blends with a very-low sulfur fuel oil (VLSFO) Fuel Stratification Effects on Gasoline Compression Ignition with a Regular-Grade Gasoline on a Single-Cylinder Medium-Duty Diesel Engine at Low Load Artificial Neural Networks for In-Cycle Prediction of Knock Events Biofuel Viability for the Ocean-Going Marine Sector Artificial-intelligence-based prediction and control of combustion instabilities in spark-ignition engines Evaluation of Residual Gas Fraction Estimation Methods for Cycle-to-Cycle Combustion Variability Analysis and Modeling Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID LinkedIn Organizations Energy Science and Technology Directorate Buildings and Transportation Science Division Propulsion Science Section Fuel Science and Engine Technologies Research Group User Facilities National Transportation Research Center