
Institute for Pure & Applied Mathematics (IPAM)
The Institute for Pure and Applied Mathematics (IPAM) is a National Science Foundation Math Institute at the University of California, Los Angeles (UCLA) that fosters the interaction of mathematics with a broad range of science and technology, builds new interdisciplinary research communities, promotes mathematical innovation, and engages and transforms the world through mathematics. IPAM fulfills its mission through workshops and programs that connect mathematics and other disciplines or multiple areas of mathematics. These activities bring in thousands of visitors annually from academia, government, and industry. The NSF has encouraged IPAM to make the scientific presentations of our speakers available to a wider audience. While this YouTube channel contains many of our most popular videos, our full video archive is available at www.ipam.ucla.edu/videos.
Episodes


Michael Abdelmalik - A Multi-Fidelity Framework for Rarefied Dynamics - IPAM at UCLA

Jeff Schneider - Machine Learning for Scenario Design and Plasma Control in Tokamaks

Bethany Lusch - Scalable graph-based surrogate models for unstructured meshes - IPAM at UCLA

Pablo Rodriguez-Fernandez - Accelerate core plasma design/optimization w/ surrogate-assist transport

Florian Schaefer - Information geometric regularization for sensitivities of flows with shocks

Mark Kostuk - Mixed-Fidelity, Multi-Model Optimization within the DIII-D Digital Twin - IPAM at UCLA

Syunichi Shiraiwa - Status of physics integration in radio-frequency H/CD modeling - IPAM at UCLA

James Cook - Parametric Tokamak Design in BLUEMIRA - IPAM at UCLA

Michael Churchill - Using AI to accelerate fusion energy device design and operational excellence

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

Egemen Kolemen - Overview of AI4Fusion - IPAM at UCLA

Lin Yang - Multi-scale & -physics Modeling Fusion Energy w/ MOOSE-Based Tools: TMAP8 and SALAMANDER

Hong Qin - Machine Learning of Local Confinement & Transport from Int'l Multi-Tokamak Confinement DB

Pablo Rodriguez-Fernandez - Designing tokamak core plasmas from scaling laws to first-principles sim

Archis Joglekar - Differentiable, Multi-Fi Simulation for Integrated Inertial Fusion Energy Design

Alan Kaptanoglu - Recent work on stage-1 and stage-2 stellarator optimization - IPAM at UCLA

Yong-Su Na - Fusion Reactor Core Design: Historical DEMO, Power Plant Study, Design Methodology, Ops

Takeo Hoshi - General data-analysis framework ODAT-SE and its applications - IPAM at UCLA

Tim Slendebroek - From scaling laws to the design space: How we design machines we cannot yet build
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