| 1/15: (Host:Di/Alexandre) | Amir Sagiv, Columbia University Prediction of random and chaotic dynamics in nonlinear optics |
| 1/22 Evans 740: Note the special time and location. This is joint with the Thematic Seminar | Yingzhou Li, Duke University Coordinate Descent Methods for Full Configuration Interactions |
| 1/29 Evans 740: Note the special time and location. This is joint with the Thematic Seminar | David Rolnick, University of Pennsylvania Deep neural networks: structure and function |
| 2/5: (Host:Lin) | Yu-Hang Tang, LBNL A Graph-Based Kernel Method for Scientific Machine Learning |
| 2/12: (Host:Lin) | Eric Neuscamann, UC Berkeley Variational Excited State Optimization |
| 2/19: (Host:Lin) | Roel Van Beeumen, LBNL A Scalable Matrix-Free Eigensolver for Studying Many-Body Localization |
| 2/26: (Host:Lin) | Guang-Hao Low, Microsoft Research Probing strongly correlated systems: Towards a quantum computational advantage |
| 3/4: This is joint with APDE Seminar. (Host:Di) | Jacob Bedrossian, University of Maryland The power spectrum of passive scalar turbulence in the Batchelor regime |
| 4/8: On Zoom (Host:Lin) | Lexing Ying, Stanford University Solving inverse problems with deep learning |
| 4/15: Special time 10:10AM-11AM. On Zoom. (Host:Lin) | Matthew Colbrook, Cambridge University The Foundations of Infinite-Dimensional Spectral Computations |
| 4/22: On Zoom (Host:Lin) | Michael Mahoney, UC Berkeley Determinantal Point Processes and Randomized Numerical Linear Algebra |
| 4/29: On Zoom (Host:Lin) | Ken Kamrin, MIT Toward reduced-order models for flowing grains: Surprising complexity meets surprising simplicity |
| 5/6: On Zoom. (Host:Lin) | Tamara Kolda, Sandia National Laboratory Estimating Higher-Order Moments Using Symmetric Tensor Decomposition |
| 5/13: On Zoom. (Host:Lin) | Linfeng Zhang, Princeton University Symmetry preserving neural network models for molecular modelling |