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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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Alberto Bartesaghi - Imaging biomolecules & high-resolution single-particle cryo-electron microscopy

14 Oct 2022
41m
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Monika Ritsch-Marte - Phase Retrieval and Optical Trapping - IPAM at UCLA

14 Oct 2022
42m
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Demetri Psaltis - Machine Learning for 3D Optical Imaging - IPAM at UCLA

14 Oct 2022
38m
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Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging

14 Oct 2022
42m
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Yukio Takahashi - Recent progress in coherent diffraction imaging at SPring-8 - IPAM at UCLA

13 Oct 2022
36m
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Marie-Ingrid Richard - Structural evolution of nanoparticles observed with Bragg coherent x-ray

13 Oct 2022
37m
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Chris Jacobsen - Coherent x-ray imaging: how big can we go small? - IPAM at UCLA

12 Oct 2022
38m
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Laura Waller - 3D phase imaging with scattering samples - IPAM at UCLA

12 Oct 2022
40m
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Katie Bouman - Capturing the First Portrait of Our Milky Way's Black Hole & Beyond - IPAM at UCLA

12 Oct 2022
43m
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Tim Salditt - Phase Retrieval & Tomographic Reconstruction in X-ray Near-field Diffractive Imaging

12 Oct 2022
42m
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Albert Fannjiang - From Tomographic Phase Retrieval to Projection Tomography - IPAM at UCLA

12 Oct 2022
44m
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Chris Metzler - Adversarial Sensing: Learning-Based Approach to Imaging & Sensing w/ Unknown Models

11 Oct 2022
35m
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George Barbastathis - On the use of machine learning for computational imaging - IPAM at UCLA

11 Oct 2022
44m
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Michael Unser - High-Speed Fourier Ptychography with Deep Spatio-Temporal Priors - IPAM at UCLA

11 Oct 2022
44m
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Jianwei John Miao - Computational Microscopy: Coherent Diffractive Imaging to Electron Tomography

11 Oct 2022
38m
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Manuel Guizar-Sicairos - Resonant ptychography, 3D magnetization and chemical characterization

11 Oct 2022
43m
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Hyunjung Kim - In situ coherent x-ray diffraction imaging study of internal structural deformation

11 Oct 2022
42m
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Changyong Song - XFEL imaging & ultrafast irreversible phenomena at femtosecond & nanometer scale

11 Oct 2022
38m
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Sebastian Seung - Petascale connectomics and beyond - IPAM at UCLA

11 Oct 2022
46m
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Muhammad Hassan - Development of a posteriori error estimates for the coupled cluster equations

03 Oct 2022
47m
Page 62

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