Physics Informed Neural Networks and Theory of Functional Connections: Applications to Optimal Control Prof. Roberto Furfaro Since the first paper from Raissi, Perdikaris & Karniadakis (2019, Journal of Computational Physics), there has been a lot of interest in pursuing the development and applications of Physics-Informed Neural Networks (PINN) to solving ODEs and PDEs. Concurrently, in […]

A proposed Europa Lander Mission presents unique challenges. The concept lander would land with a fixed amount of energy to accomplish its objectives of excavating, sampling, and analyzing samples in search of astrobiology signatures (and downlinking results). The mission concept must be robust despite uncertainties about remaining energy, time/energy to excavate and sample, sample analysis […]