Nathan Finney: "Tunable coexisting moiré superlattices with rotatable van der Waals heterostruct..."
25 Mar 2020
26m
Institute for Pure & Applied Mathematics (IPAM) · 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
Marko Petrovich: "First-principles theory of proximity spin-orbit torque on a two-dimensional ma..."
25 Mar 2020
19m
Xingjie Helen Li: "Bending admissible continuum approximation for monolayered 2D materials"
25 Mar 2020
22m
Xiaojie Wu: "Density matrix embedding theory for large-scale heterogeneous systems"
25 Mar 2020
25m
Michael Fogler, "Effect of dislocations on collective modes of twisted 2D materials"
25 Mar 2020
47m
Pilar Ariza: "Dislocation accommodation mechanisms in monolayer and bilayer graphene"
25 Mar 2020
42m
Paul Cazeaux: "Relaxation of incommensurate bi- and trilayer heterostructures and networks of do..."
25 Mar 2020
32m
Mitchell Luskin: "Configuration Space Methods for Incommensurate 2D Heterostructures"
25 Mar 2020
53m
Andy Lucas: "Electron hydrodynamics with a polygon Fermi surface"
25 Mar 2020
41m
Francisco Guinea: "Electron-electron interactions in graphene systems with narrow bands: depende..."
25 Mar 2020
35m
Jill Mesirov: "Computational Genomic Approaches to the Understanding and Treatment of Cancer"
11 Feb 2020
1h 0m
Jill Mesirov: "Can We Use Genomics to Better Understand and Treat Cancer?"
11 Feb 2020
1h 0m
Steve Brunton: "Introduction to Fluid Mechanics"
16 Dec 2019
1h 12m
Xavier Bresson: "Graph Convolutional Neural Networks for Molecule Generation"
16 Dec 2019
1h 0m
Yuxin Chen: "Bayesian Experimental Design in the Physical Sciences"
11 Dec 2019
47m
Gábor Csányi: "Representation and regression problems in molecular structure and dynamics"
11 Dec 2019
52m
Yue Lu: "Spectral Methods for High Dimensional Inference"
11 Dec 2019
45m
Matthias Rupp: "How to assess scientific machine learning models? Prediction errors and predicti..."
11 Dec 2019
54m
Chris Sutton: "Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning ..."
11 Dec 2019
40m
Soledad Villar: "Graph neural networks for combinatorial optimization problems"
11 Dec 2019
45m
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