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- Jonathan Hobbs JPL - Multi-Disciplinary Collaborations Enabling Uncertainty Quantification for Climate Science
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Classroom Contents
Collaborating with Mathematicians on Major Societal Challenges - Session B02
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- 1 - Chair Intro
- 2 - Christian Ratsch UCLA - Opportunities for Interdisciplinary Collaborations at the Mathematical Science Institutes
- 3 - Danny Perez Los Alamos National Lab - Automated data-driven upscaling of transport properties in materials: the results of a multidisciplinary collaboration between physics and mathematics
- 4 - Kyungjoo Noh AWS Center for Quantum Computing Methods for simulating quantum hardware
- 5 - Miranda Cheng University of Amsterdam Physics and Number Theory
- 6 - Jonathan Hobbs JPL - Multi-Disciplinary Collaborations Enabling Uncertainty Quantification for Climate Science
