4 papers
Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE)
Tiffany Fan, Murray Cutforth, Marta D'Elia +3
Extracting compact, physically interpretable representations from high-dimensional scientific data is a persistent challenge due to the complex, nonlinear structures inherent in ph…
Bi-fidelity Interpolative Decomposition for Multimodal Data
Murray Cutforth, Tiffany Fan, Tony Zahtila +2
Multi-fidelity simulation is a widely used strategy to reduce the computational cost of many-query numerical simulation tasks such as uncertainty quantification, design space explo…
Risk-Aware Aerocapture Guidance Through a Probabilistic Indicator Function
Grace E. Calkins, Jay W. McMahon, Alireza Doostan +1
Aerocapture is sensitive to trajectory errors, particularly for low-cost missions with imprecise navigation. For such missions, considering the probability of each failure mode whe…
Physically Interpretable Representation and Controlled Generation for Turbulence Data
Tiffany Fan, Murray Cutforth, Marta D'Elia +3
Computational Fluid Dynamics (CFD) plays a pivotal role in fluid mechanics, enabling precise simulations of fluid behavior through partial differential equations (PDEs). However, t…