Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session 1A: DPOLY Short Course: Machine Learning for Polymer Physicists I |
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Sponsoring Units: DPOLY Room: 201 |
Saturday, February 29, 2020 1:00PM - 6:00PM |
1A.00001: DPOLY Short Course: Machine Learning for Polymer Physicists I Recent developments in machine learning and related data-driven approaches have created a new paradigm for approaching scientific research. The field of polymer physics has seen important applications in the design of experiments, analysis of scattering data, prediction of molecular properties, and identification of important structural and dynamic patterns. Additionally, the use of high throughput computational and experimental techniques promises to increase the amount of data available to polymer physicists and presents new opportunities for discovery. This day and a half short course will provide an essential introduction to machine learning and data analytics as relevant to polymer physicists, while also showcasing recent advances by leaders in the field. Topics covered will include data capture, design of experiments, varying levels of data quality, model building, optimization and general analysis of both experimental and computational data. Attendees will leave with a sound basis in key algorithmic concepts including when those algorithms are appropriate, an understanding of the state-of-the-art applications, and a foundational understanding of how to incorporate machine learning and data science into their current research. |
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