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Amanda Howard - Multifidelity, domain decomposition, stacking for training physics-informed networks
Presenter
- Amanda Howard
March 23, 2026
IPAM
Kentaro Hara - Multi-fluid, high-order moment models for partially ionized plasmas - IPAM at UCLA
Presenter
- Kentaro Hara
March 23, 2026
IPAM
Ionut-Gabriel Farcas - A tutorial on multi-fidelity methods for fusion energy research, Pt. 2/2
Presenter
- Ionut-Gabriel Farcas
March 13, 2026
IPAM
Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA
Presenter
- Andrew Christlieb
March 13, 2026
IPAM
Jaime Marian - Modeling and Simulation Techniques for Structural Materials Under Fusion Conditions
Presenter
- Jaime Marian
March 12, 2026
IPAM
Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA
Presenter
- Jochen Garcke
March 12, 2026
IPAM
Ionut-Gabriel Farcas - A tutorial on multi-fidelity methods for fusion energy research, Pt. 1/2
Presenter
- Ionut-Gabriel Farcas
March 12, 2026
IPAM
Emily Belli - Computational plasma physics for turbulence & integrated modeling of transport
Presenter
- Emily Belli
March 11, 2026
IPAM
John Jakeman - Forward Uncertainty Quantification - IPAM at UCLA
Presenter
- John Jakeman
March 11, 2026
IPAM
Tim Wildey - Inverse Uncertainty Quantification with PyApprox - IPAM at UCLA
Presenter
- Tim Wildey
March 11, 2026
IPAM