Manuel Dahmen

Latest

• Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning
• Graph machine learning for design of high-octane fuels
• Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids
• Physical pooling functions in graph neural networks for molecular property prediction
• Designing production-optimal alternative fuels for conventional, flexible-fuel, and ultra-high efficiency engines
• Graph neural networks for prediction of fuel ignition quality