Applied Math Colloquium

Machine-learning-based spectral methods for partial differential equations
Panos Stinis, Pacific Northwest National Laboratory

Modeling Coordinate Transformations in Neural and Neuromorphic Systems
Frances Chance, Department of Cognitive and Emerging Computing, Sandia National Laboratory

Scalable reinforcement learning for multi-agent networked systems
Guannan Qu, Electrical and Computer Engineering, Carnegie Mellon University

Scalable Multiphysics Block Preconditioning for Solution of Implicit Stabilized Finite Element Resistive MHD Formulations with Application to Magnetic Confinement Fusion
John Shadid, Computational Mathematics Department, Sandia National Laboratories, and Department of Mathematics and Statistics, University of New Mexico