Organizers:- Beatrice Riviere (Rice University)
- Matthias Heinkenschloss (Rice University)
Schedule8:30 - 9:00 am: Check-in + Breakfast
9:00 - 10:00 am: Charbel Farhat (Stanford)
10:00 - 11:00 am: Jonas Actor (Sandia National Lab)
11:00 - 11:20 am: Adrian Celaya (Rice University)
11:20 - 11:40 am: Jonathan Cangelosi (Rice University)
11:40 am - 1:00 pm: Lunch
1:00 - 2:00 pm: Elizabeth Qian (Georgia Tech)
2:00 - 3:00 pm: Benjamin Peherstorfer (NYU)
Speaker: Charbel Farhat (Stanford)Session: Mechanics-Informed Machine Learning for the Discovery of Constitutive Models
Speaker: Jonas Actor (Sandia National Lab)Session: Leveraging Approximation Theory for Efficient Scientific Machine Learning
Speaker: Adrian Celaya (Rice University)Session: Learning Finite Difference and Discontinuous Galerkin Solutions to Elliptic Problems via Numerics-Informed Neural Networks
Speaker: Jonathan Cangelosi (Rice University)Session: Sensitivity-Driven Surrogate Modeling For Trajectory Optimization
Speaker: Elizabeth Qian (Georgia Tech)Session: Multifidelity Linear Regression for Scientific Machine Learning from Scarce Data
Speaker: Benjamin Peherstorfer (NYU)Session: Leveraging Nonlinear Latent Dynamics for Numerically Forecasting High-Dimensional Systems
