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Institute for Pure & Applied Mathematics (IPAM) ยท Science

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

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Aiichiro Nakano - Quantum Material Dynamics at Nexus of Exascale Computing, AI, & Quantum Computing

28 Mar 2023
45m
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Aidan Thompson - LAMMPS simulation: physics models, machine-learning potentials, exascale computing

27 Mar 2023
52m
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Heather Kulik - Exploring multi-million compound spaces w/ chemical accuracy using machine learning

27 Mar 2023
50m
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Lin Lin - Interacting models for twisted bilayer graphene: quantum chemistry approach - IPAM at UCLA

27 Mar 2023
58m
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Segev Wasserkug - Democratizing Optimization Modeling: Status, Challenges, and Future Directions

20 Mar 2023
48m
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Jack Deslippe - Guiding Exascale Application Optimization - IPAM at UCLA

17 Mar 2023
1h 9m
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Thomas Hudson - Multiscale Modeling - IPAM at UCLA

17 Mar 2023
1h 9m
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Danny Perez - Molecular Dynamics 2 - IPAM at UCLA

17 Mar 2023
1h 10m
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Evan Weinberg - Acceleration techniques - IPAM at UCLA

16 Mar 2023
1h 11m
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Elaine Raybourn - Sociotechnical aspects of new code collaborations - IPAM at UCLA

16 Mar 2023
58m
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Tzanio Kolev - Meso and Macroscale Modeling 1 - IPAM at UCLA

15 Mar 2023
51m
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Vikram Gavini - DFT 2 - Density functional theory - IPAM at UCLA

15 Mar 2023
1h 22m
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Bjoern Enders - Complex Workflows 2 - IPAM at UCLA

15 Mar 2023
1h 0m
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Erik Draeger - Future Exascale Architectures - IPAM at UCLA

15 Mar 2023
1h 9m
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Johannes Blaschke - Complex Workflows 1 - IPAM at UCLA

15 Mar 2023
1h 10m
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Tim Germann - Molecular Dynamics 1 - IPAM at UCLA

14 Mar 2023
1h 14m
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Vikram Gavini - DFT 1 - Density functional theory - IPAM at UCLA

14 Mar 2023
1h 30m
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Tina Eliassi-Rad - The Pitfalls of Using ML-based Optimization - IPAM at UCLA

03 Mar 2023
48m
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Paul Grigas - Offline and Online Learning for Contextual Stochastic Optimization - IPAM at UCLA

03 Mar 2023
53m
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Rahul Mazumder - Discrete Optimization-aided Structured Learning at Scale - IPAM at UCLA

03 Mar 2023
55m
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