Topic 1: Aerosciences: (POC: Alireza Mazaheri – ali.r.mazaheri@nasa.gov)
- Uncertainty quantification for high-fidelity multidisciplinary (e.g., aeroelastic, aeroacoustic) analysis for aircraft flight (POC: Beth Lee-Rauch, lee-rausch@nasa.gov)
- Multi-physics high-fidelity approaches for advanced or emerging computer architectures (POC: Beth Lee-Rauch, lee-rausch@nasa.gov)
- Machine learning for turbulent or transitional flow modeling (POC: Beth Lee-Rauch, lee-rausch@nasa.gov)
- Efficient synthetic turbulence generation methods (POC: Luther Jenkins, n.jenkins@nasa.gov)
- HYBRID turbulent simulation methods and models to simulate highly separated turbulent flows POC: Luther Jenkins, n.jenkins@nasa.gov)
- High-order unstructured schemes for high-speed flows and aerothermodynamics (POC: Alireza Mazaheri, r.mazaheri@nasa.gov)
- Modular GPU-based chemically reacting solver with stiff integrator (POC: Andrew Norris t.norris@nasa.gov)
- Uncertainty quantification for stochastic probability density function (PDF) methods (POC: Andrew Norris t.norris@nasa.gov)
- Gas lattice methods for continuum (high density) flows (POC: Andrew Norris t.norris@nasa.gov)
- Broadband noise prediction of advanced air mobility aircraft (POC: Mike Doty, j.doty@nasa.gov)
- Novel material concepts to extend the frequency range of acoustic liners (POC: Ran Cabell, h.cabell@nasa.gov)
- Novel noise reduction concepts for urban air mobility (UAM) propulsors (POC: Ran Cabell, h.cabell@nasa.gov)