Rotating Detonation Rocket Engine Concept Development
- Ajay Agrawal
University of Alabama, Tuscaloosa
An Novel Hybrid Rotating Detonation Engine Optimized with Aerospike Nozzle for Rocket Applications
- Stephen Heister
Purdue University
Rotating Detonation Combustion for Space Engines using Reduced Toxicity Hypergolic Propellants
- Raymond Spearrin
University of California, Los Angeles
Hypergolic Rotating Detonation Rocket Propulsion with Low Pressure-loss Injection and Advanced Thermal Management
Chemical Heat Integrated Power Systems
- Evgeny Shafirovich
University of Texas, El Paso
Controllable Combustion of Metal Fuels for Space Power Systems
- Subith Vasu
University of Central Florida
Propagation Controlled Solid Fuel-Oxidant Reactions for the Generation of Harvestable Heat
Rocket Plume-Surface Interaction Prediction Advancements
- Jesse Capecelatro
University of Michigan
Multiscale Modeling to Enable Physics-Based Simulations of Plume-Surface Interactions with Quantified Uncertainty
- David Scarborough
Auburn University
Non-intrusive Approaches to Full-domain, Scaling-law Based Experimental Investigation of Crater Formation and Plume-surface Interaction Dynamics
- Laura Villafane
University of Illinois at Urbana-Champaign
Fundamental Experiments of Jet Impingement on Granular Surfaces
Machine Learning/Deep Learning Tools for Protecting Astronauts from Solar Energetic Particle Hazards
- Alexander Kosovichev
New Jersey Institute of Technology
Machine Learning Tools for Predicting Solar Energetic Particle Hazards
- Ming Zhang
Florida Institute of Technology
Prediction of Solar Energetic Particle Radiation Timing and Dosage Using Physics-guided Machine Learning Algorithms with Remote Observations of the Solar Photosphere, Corona and Interplanetary Medium
Next Generation Durability and Damage Tolerance Methodologies
- Caglar Oskay
Vanderbilt University
Stochastic Multiscale Fatigue Life Prediction Framework for Next Generation Durability and Damage Tolerance
- Michael Sangid
Purdue University
Microstructure and Defect Informed Predictions of Damage Tolerance and Durability of Materials and Structures, Including Verification and Uncertainty Quantification
Integration of Cryogenic Fluid Two Phase Numerical Modeling Techniques
- Shanbin Shi
Rensselaer Polytechnic Institute
Development of an Intelligent Coupling Approach for Modeling and Prediction of Cryogenic Propellant Behavior in Microgravity During Long-term Storage
- Kourosh Shoele
Florida State University
Fast Multilevel Multi-phase CFD-nodal Model for Cryogenic Applications
