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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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Andrew Millis - Twisted Transition Metal Dicalcogenides: Tests of Quantum Embedding and Theories

29 Mar 2022
41m
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Lin Lin - Quantum impurity and quantum embedding theory - IPAM at UCLA

29 Mar 2022
50m
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Michael Lindsey - Quantum embedding with lower bounds - IPAM at UCLA

29 Mar 2022
42m
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Dominika Zgid - Post-DFT Green's function embedding - IPAM at UCLA

28 Mar 2022
51m
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Angel Rubio - Polaritonic Quantum Materials: a first principles QEDFT perspective - IPAM at UCLA

28 Mar 2022
45m
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Giulia Galli - Embedding theories for quantum simulations on hybrid classical-quantum architectures

28 Mar 2022
42m
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Alexandre Tkatchenko - Multiscale Approaches to Quantum Mechanics: Vacuum, Atoms, Engineering-Scale

28 Mar 2022
49m
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Alexandre Tkatchenko - Theory of Molecular Interactions - IPAM at UCLA

11 Mar 2022
1h 22m
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Matteo Gori - Field theory methods for multiscale description of quantum systems - IPAM at UCLA

11 Mar 2022
1h 25m
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Benjamin Stamm - Eigenvalue problems and error control - IPAM at UCLA

11 Mar 2022
1h 23m
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Michael Lindsey - Many-body perturbation theory and Green's function methods - IPAM at UCLA

10 Mar 2022
1h 17m
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Stefan Chmiela - Machine learning basics: A speedrun - IPAM at UCLA

10 Mar 2022
1h 7m
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Lin Lin - A mathematical introduction to quantum embedding theory - IPAM at UCLA

10 Mar 2022
1h 16m
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Dominika Zgid - A physical/chemical motivation behind quantum embedding theories - IPAM at UCLA

10 Mar 2022
1h 11m
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David Ceperley - Introduction to Classical and Quantum Monte Carlo methods for Many-Body systems

09 Mar 2022
1h 7m
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Robert Webber - Randomized methods for quantum many-body problems: a mathematical primer

09 Mar 2022
1h 15m
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Prineha Narang - Ab initio quantum chemistry approaches to nonequilibrium interactions in molecules

09 Mar 2022
51m
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Alexandre Tkatchenko - Many-body perturbation theory and wavefunction methods: A Physics perspective

09 Mar 2022
1h 7m
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Jianfeng Lu - Mathematical Models of Electronic Structure - IPAM at UCLA

09 Mar 2022
1h 5m
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Kieron Burke - Elements of electronic structure calculations: HF and DFT - IPAM at UCLA

09 Mar 2022
42m
Page 72

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