Machine-learning Routes to Biophysics

Machine-learning Routes to Biophysics

March 23, 2016


727 E. Tyler St.
Tempe, AZ 85287


Biodesign Institute, Auditorium B105

Date and Time

March 29, 2016, 11:00 am (Length: 1 hour 0 minutes)

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Abbas Ourmazd, Ph.D., University of Wisconsin Milwaukee

Machine learning is guided by the intrinsic properties of the data, rather than user-directed notions. It is thus possible to determine the structure, conformations, energy landscapes and dynamics of biological machines in equilibrium, or in the course of time-driven processes. Examples will include molecular movies of biological nanomachines in action, femtosecond bond-breaking in molecules and single-photon spectroscopy.

The Center for Biological Physics and BioXFEL Science and Technology Center in the ASU Department of Physics is presenting this seminar.