
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


Genevieve Dusson - Error bounds for properties in planewave electronic structure calculations

Markus Reiher - Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA

Xiaoying Dai - Convergent orthogonality preserving appoximations of the Kohn-Sham orbitals

David Mazziotti - Contracted Quantum Eigensolver for the Quantum Simulation of Many-electron Systems

Julia Contreras-García - Math-chimie: developing approaches for predicting new superconductors

Benjamin Stamm - Acceleration of quantum mechanical systems by exploiting similarity - IPAM at UCLA

Filippo Lipparini - Black-box optimization of self-consistent field wavefunction, closed/open shells

Huajie Chen - Convergence of the Planewave Approximations for Quantum Incommensurate Systems

Mi-Song Dupuy - Sparse and symmetry-preserving compression of matrix product operators

Amartya Banerjee - Electronic Structure Calculations of Chiral Matter - IPAM at UCLA

Virginie Ehrlacher - Multi-center decomposition of molecular densities: a mathematical perspective

Antoine Levitt - Numerical methods for scattering and resonance properties in molecules and solids

Emmanuel Giner - Curing basis set convergence of WFT w/ DFT: overview of framework and some results

Francois Gygi - Generating Reference Data and Controlling Accuracy in DFT and Hybrid DFT Simulations

Yingzhou Li - Fast Algorithms for FCI excited states - IPAM at UCLA

Xin Xing - Finite-size error and its correction in energy calculations for periodic systems

Lin Lin - Large scale hybrid DFT functionals: fast algorithms and finite-size effects - IPAM at UCLA

Julien Toulouse - Basis-set correction based on density-functional theory - IPAM at UCLA

Chao Yang - Low rank approximation in electron excitation calculations - IPAM at UCLA
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