Participants
Projects
Publications
- Learning to Predict Sustainable Aviation Fuel Properties: A Deep Uncertainty Quantification Viewpoint
- Sequence2Self: Self-supervised Image Sequence Denoising of Pixel-level Spray Breakup Morphology
- Fast Uncertainty Reduction of Chemical Kinetic Models with Complex Spaces Using Hybrid Response-surface Networks
- Computational Fluid Dynamics Modeling of Lean Blowout in the ARC-M1 Gas Turbine Combustor
- Evaluation of Physicochemical Variability of Sustainable Aviation Fuels
- Computational Fluid Dyamics Modeling of Fuel Properties Impact on Lean Blowout in the ARC-M1 Combustor
- Advanced Fuel Property Data Platform: Overview and Potential Applications
- Fuel Spray and Operating Condition Impact on Ignition Performance in the ARC-M1 Combustor
- Deep Neural Networks for Assessing Sustainable Jet Fuels from Two-Dimensional Gas Chromatography
- X-ray Data Enabled Improved Near Nozzle Spray Validation for ARC-M1 Combustor
- Lean Blowout Dependence on Fuel Properties and Combustion Conditions in the ARC-M1 Single-Cup Swirl Combustor
- Simultaneous Imaging of Fuel, OH, and Three Component Velocity Fields in High Pressure, Liquid Fueled, Swirl Stabilized Flames at 5 kHz
- Fuel Effects on Lean Blow-out in a Realistic Gas Turbine Combustor
- Spray Characteristics and Flame Structure of Jet A and Alternative Jet Fuels
- Large-Eddy Simulations of Fuel Effects on Gas Turbine Lean Blow-out
- Simultaneous High Speed (5 kHz) Fuel-PLIF, OH-PLIF and Stereo PIV Imaging of Pressurized Swirl-Stabilized Flames using Liquid Fuels
- Low Temperature Autoignition Behavior of Surrogate Jet Fuels with Targeted Properties in a Rapid Compression Machine