13–17 Sept 2021
Virtual event
Europe/Berlin timezone

Lecture "Science in the Age of Machine Learning"

13 Sept 2021, 15:15
1h
Virtual event

Virtual event

Speaker

Abbas Ourmazd (University of Wisconsin Milwaukee)

Description

Traditionally the “best” observations are those with the largest signal from the most tightly controlled systems. In a wide range of phenomena – the dance of proteins in function, femtosecond breaking of molecular bonds, the gestation of fetuses – tight control is neither feasible, nor desirable. Modern machine-learning techniques extract far more information from sparse random sightings than usually obtained from set-piece experiments. I will describe on-going efforts to extract structural and dynamical information from noisy, random snapshots recorded with very poor, or non-existent timing information. Examples will include functional motions of molecular machines, and ultrafast dynamics of photo-induced reactions.

Primary author

Abbas Ourmazd (University of Wisconsin Milwaukee)

Presentation materials

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