
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


Ankur Moitra - Transitions in Quantum Spin Systems - IPAM at UCLA

Jiaqing Jiang - Predicting properties of quantum thermal states from a single trajectory

Ewin Tang - A Dobrushin condition for quantum Markov chains - IPAM at UCLA

Eric Carlen - Boundary-driven quantum systems near Zeno limit: steady states and long-time behavior

Yu Tong - Quantum and classical algorithms for weakly interaction fermions at finite temperature

Anthony (Chi-Fang) Chen - Fast Mixing of 1D Quantum Systems at All Temperatures - IPAM at UCLA

Zhiyan Ding - System–bath interaction models for quantum ground- and thermal-state preparation

Lin Lin - Dissipative Preparation of Thermal and Ground States - IPAM at UCLA

Andras Gilyen - Quantum generalizations of Glauber and Metropolis dynamics - IPAM at UCLA

RIPS Student Diary - Research in Industrial Projects for Students - IPAM at UCLA

Xinjie He - AI Similarity Demo - IPAM at UCLA

Chris Anderson - Domain decomposition & parameterized effective boundary conditions for Poisson

Bin Wang - Modeling interfacial charge transfer in thermochem and electrochem reactions and analogy

Christoph Freysoldt - Correcting electrostatic boundary artifacts in simulations of charged systems

Stefan Ringe - Continuum modeling & quantum chem: Multi-scale modeling of electrochemical processes

Jing Yang - Molecular dynamics sim for electrochemical systems: challenges of field fluctuation

Annabella Selloni - Chemistry of Aqueous Oxide Interfaces from Machine Learning Molecular Dynamics

Phillip Colella - Embedded Boundary Methods for PDEs in Complex Geometries - IPAM at UCLA

Thomas Swinburne - Functional simulations for uncertainty quantification and inverse problems
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