Videos

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Boris Kramer - Structure-preserving Lift & Learn: Scientific machine learning for nonlinear conservative partial differential equations

April 17, 2029
IPAM

Ammar Hakim - BEACONS and BEACONS-FM: Lighting a Path to Modular, Composable, Formally Verified Fusion Foundation Models

April 17, 2029
IPAM

Leonardo Zepeda-Núñez - Learning Turbulent and Chaotic Dynamics via Data-Driven Probabilistic Models

April 16, 2029
IPAM

Diego Del-Castillo-Negrete - Generative Artificial Intelligence methods for turbulence and kinetic computations

April 16, 2029
IPAM

Karen Willcox - Multifidelity Proper Orthogonal Decomposition

April 16, 2029
IPAM

Karen Willcox - Green Family Lecture #2: Learning Structure-exploiting Reduced Models with Operator Inference (at UCLA Royce Hall)

April 15, 2029
IPAM

Jiequn Han - Learning Evolution Operators Across PDE Systems: Meta-Learning and Test-Time Generalization

April 15, 2029
IPAM

Qin Li - Stabilizing plasma instabilities cast as PDE-constrained optimization

April 15, 2029
IPAM

Peter Benner - Discovery and Model Reduction of Hamiltonian Systems

April 15, 2029
IPAM

Karen Willcox - Green Family Lecture #1: The Important Role of Mathematics in the Digital Twin Revolution (at UCLA CNSI Auditorium)

April 14, 2029
IPAM

Li Wang - Suppressing Plasma Instability Through Constrained Optimization

April 14, 2029
IPAM

Steve Cowley - Multi-scale Plasma Turbulence — the key to fusion power

April 14, 2029
IPAM