Videos

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Luis Oliveira e Silva - Ab initio PIC simulations and data-driven techniques for multi-fidelity or reduced plasma models

April 17, 2029
IPAM

Matthew Landreman - Opportunities for multi-fidelity methods in fusion device design

May 8, 2029
IPAM
Latent Variable Gaussian Process (LVGP) for Adaptive, Interpretable, and Multi-Fidelity Design of Emerging Materials and Structures Thumbnail

Latent Variable Gaussian Process (LVGP) for Adaptive, Interpretable, and Multi-Fidelity Design of Emerging Materials and Structures

Presenter
  • Wei Chen
April 1, 2025
IMSI

Guannan Zhang - Generative diffusion models for learning stochastic flow maps in particle-based kinetic simulation

April 17, 2029
IPAM

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

April 15, 2029
IPAM

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

April 16, 2029
IPAM

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

April 15, 2029
IPAM

Karen Willcox - Multifidelity Proper Orthogonal Decomposition

April 16, 2029
IPAM

Building a Gaussian Process Statistical and Quantitative Learning Framework for Scientific Applications

Presenter
  • Xiaoye Li
September 13, 2025
ICERM
Leveraging machine learning techniques to support planning and emergency response management for storm surge risk Thumbnail

Leveraging machine learning techniques to support planning and emergency response management for storm surge risk

Presenter
  • Alex Taflanidis
March 3, 2025
IMSI
Computational Statistics Meets Materials Science: Advances in UQ, OED, and SciML Thumbnail

Computational Statistics Meets Materials Science: Advances in UQ, OED, and SciML

Presenter
  • Anh Tran
April 22, 2025
IMSI
Physics-Informed Learning Machines Thumbnail

Physics-Informed Learning Machines

Presenter
  • Maziar Raissi
September 1, 2022
IMSI